Real-time parking slot availability for Bhavnagar, using statistical block ma...JANAK TRIVEDI
Purpose-The purpose of this paper is to find a real-time parking location for a four-wheeler. Design/methodology/approach-Real-time parking availability using specific infrastructure requires a high cost of installation and maintenance cost, which is not affordable to all urban cities. The authors present statistical block matching algorithm (SBMA) for real-time parking management in small-town cities such as Bhavnagar using an in-built surveillance CCTV system, which is not installed for parking application. In particular, data from a camera situated in a mall was used to detect the parking status of some specific parking places using a region of interest (ROI). The method proposed computes the mean value of the pixels inside the ROI using blocks of different sizes (8 Â 10 and 20 Â 35), and the values were compared among different frames. When the difference between frames is more significant than a threshold, the process generates "no parking space for that place." Otherwise, the method yields "parking place available." Then, this information is used to print a bounding box on the parking places with the color green/red to show the availability of the parking place. Findings-The real-time feedback loop (car parking positions) helps the presented model and dynamically refines the parking strategy and parking position to the users. A whole-day experiment/validation is shown in this paper, where the evaluation of the method is performed using pattern recognition metrics for classification: precision, recall and F1 score. Originality/value-The authors found real-time parking availability for Himalaya Mall situated in Bhavnagar, Gujarat, for 18th June 2018 video using the SBMA method with accountable computational time for finding parking slots. The limitations of the presented method with future implementation are discussed at the end of this paper.
TRA 2018 Vienna Publication: Advancing active safety towards the protection o...Ilona Anna Cieslik
1. The document describes the PROSPECT project, which aims to improve active safety systems for protecting vulnerable road users (VRUs) like pedestrians and cyclists.
2. The project is developing three vehicle demonstrators and a driving simulator to test new sensor concepts and VRU detection/prediction technologies. One demonstrator focuses on stereo cameras and high-resolution radars, another on sensor fusion for earlier VRU detection, and a third expands radar coverage for complex urban scenarios.
3. The project is addressing key barriers of current active braking systems like limited sensor field of view, inaccurate path prediction, unreliable intent recognition, and slow reaction times. New sensors and algorithms will provide expanded coverage, improved classification
A VISION-BASED REAL-TIME ADAPTIVE TRAFFIC LIGHT CONTROL SYSTEM USING VEHICULA...JANAK TRIVEDI
In India, traffic control management is a difficult task due to an increment in the number of vehicles for the same infrastructure and systems. In the smart-city project, the Adaptive Traffic Light Control System (ATLCS) is one of the major research concerns for an Intelligent Transportation System (ITS) development to reduce traffic congestion and accidents, create a healthy environment, etc. Here, we have proposed a Vehicular Density Value (VDV) based adaptive traffic light control system method for 4-way intersection points using a selection of rotation, area of interest, and Statistical Block Matching Approach (SBMA). Graphical User Interface (GUI) and Hardware-based results are shown in the result section. We have compared, the normal traffic light control system with the proposed adaptive traffic light control system in the results section. The same results are verified using a hardware (raspberry-pi) device with different sizes, colors, and shapes of vehicles using the same method.
The document provides a summary of the final report of the Connected Cruise Control project. The project aimed to develop a system that provides drivers with tactical driving advice based on integrating in-vehicle systems with roadside traffic data. The project addressed questions related to the system architecture, data fusion within vehicles, the impact on traffic flow, functionalities of speed/headway/lane advice, and human-machine interface design. The project resulted in a demonstration system, models for estimating traffic flow, and HMI recommendations. The system architecture is designed to be open, interoperable and flexible to integrate current and future components.
Smart and efficient system for the detection of wrong cars parkingjournalBEEI
The document describes a smart parking detection system that uses cameras, Arduino, DC motors and a PIR sensor. The system is able to detect improperly parked vehicles by capturing images of parking spaces, identifying plate numbers of incorrectly parked cars using image processing in MATLAB, and recording plate numbers in a database. The system was tested across 50 images and achieved a 96% accuracy rate in detecting correct and incorrect parking. The system is presented as an efficient solution to help drivers park properly and assist parking area owners in remote monitoring.
Modern Transport problems arise when it is difficult behavior in A system according to the best possible pattern, being affected by traffic, human errors or accidents. In such cases, unpredictability can be helped by AI SERVICES
Vehicle detection by using rear parts and tracking systemeSAT Journals
Abstract Vision of Indian government; of making 100 smart cities, attracts our attention to intelligent transport system. Traffic flow analysis is a part of intelligent transport system. It mainly contains three parts: vehicle detection, classification and vehicle tracking par t. Recently, there are different detection and tracking methods like computer vision based, magnetic frequency wave based etc. With the rapid development of computer vision techniques, visual detection has become increasingly popular in the transportation field. In urban traffic video monitoring systems, traffic congestion is a common scene that causes vehicle occlusion and is a challenge for current vehicle detection methods.In practical traffic scenarios, occlusion between vehicles often occurs; therefore, it is unreasonable to treat the vehicle as a whole. To overcome this problem we can use part based detection model. In our system the vehicle is treated as an object composed of multiple salient parts, including the license plate and rear lamps. These parts are localized using their distinctive color, texture, and region feature. Furthermore, the detected parts are treated as graph nodes to construct a probabilistic graph using a Markov random field model. After that, the marginal posterior of each part is inferred using loopy belief propagation to get final vehicle detection. Finally, the vehicles’ trajectories are estimated using a Kalman filter and a tracking-based detection technique is realized. This method we can use in daytime as well as night time and in any bad weather condition. Keywords vehicle detection, kalman filter, Markov model, tracking, rear lamps
Machine vision based smart parking system using Internet of ThingsTELKOMNIKA JOURNAL
It is expected that in the next decade, majority of world population will be living in cities.
Better public services and infrastructures in the city are needed to cope with the booming population.
City vehicles that cruising for parking have indirectly causing traffic, making one harder to travel around the
city. Thus, a smart parking system can certainly lays the foundation to build a smart city. This paper
proposed a cost-effective IoT smart parking system to monitor city parking space and provide real-time
parking information to drivers. Moreover, instead of the conventional approach that uses embedded
sensors to detect vehicles in the parking area, camera image and machine vision technology are used to
obtain the parking status. In the prototype, twenty outdoor parking lots are covered using a 5 megapixel
camera connected to Raspberry Pi 3 installed at the 5th floor of the nearby building. Machine vision in this
project that involved motion tracking and Canny edge detection are programmed in Python 2 using
OpenCV technology. Corresponding data is uploaded to an IoT platform called Ubidots for possible
monitoring activity. An Android mobile application is designed for user to download real-time data of
parking information. This paper introduces a low cost smart parking system with the overall detection
accuracy of 96.40%. Also, the mobile application allows users to alert other car owners for any emergency
incidents and double parking blockage. The developed system can provide a platform for users to search
for empty car parking with ease and reduce the traffic issues such as illegal double parking especially in
the urban area.
Real-time parking slot availability for Bhavnagar, using statistical block ma...JANAK TRIVEDI
Purpose-The purpose of this paper is to find a real-time parking location for a four-wheeler. Design/methodology/approach-Real-time parking availability using specific infrastructure requires a high cost of installation and maintenance cost, which is not affordable to all urban cities. The authors present statistical block matching algorithm (SBMA) for real-time parking management in small-town cities such as Bhavnagar using an in-built surveillance CCTV system, which is not installed for parking application. In particular, data from a camera situated in a mall was used to detect the parking status of some specific parking places using a region of interest (ROI). The method proposed computes the mean value of the pixels inside the ROI using blocks of different sizes (8 Â 10 and 20 Â 35), and the values were compared among different frames. When the difference between frames is more significant than a threshold, the process generates "no parking space for that place." Otherwise, the method yields "parking place available." Then, this information is used to print a bounding box on the parking places with the color green/red to show the availability of the parking place. Findings-The real-time feedback loop (car parking positions) helps the presented model and dynamically refines the parking strategy and parking position to the users. A whole-day experiment/validation is shown in this paper, where the evaluation of the method is performed using pattern recognition metrics for classification: precision, recall and F1 score. Originality/value-The authors found real-time parking availability for Himalaya Mall situated in Bhavnagar, Gujarat, for 18th June 2018 video using the SBMA method with accountable computational time for finding parking slots. The limitations of the presented method with future implementation are discussed at the end of this paper.
TRA 2018 Vienna Publication: Advancing active safety towards the protection o...Ilona Anna Cieslik
1. The document describes the PROSPECT project, which aims to improve active safety systems for protecting vulnerable road users (VRUs) like pedestrians and cyclists.
2. The project is developing three vehicle demonstrators and a driving simulator to test new sensor concepts and VRU detection/prediction technologies. One demonstrator focuses on stereo cameras and high-resolution radars, another on sensor fusion for earlier VRU detection, and a third expands radar coverage for complex urban scenarios.
3. The project is addressing key barriers of current active braking systems like limited sensor field of view, inaccurate path prediction, unreliable intent recognition, and slow reaction times. New sensors and algorithms will provide expanded coverage, improved classification
A VISION-BASED REAL-TIME ADAPTIVE TRAFFIC LIGHT CONTROL SYSTEM USING VEHICULA...JANAK TRIVEDI
In India, traffic control management is a difficult task due to an increment in the number of vehicles for the same infrastructure and systems. In the smart-city project, the Adaptive Traffic Light Control System (ATLCS) is one of the major research concerns for an Intelligent Transportation System (ITS) development to reduce traffic congestion and accidents, create a healthy environment, etc. Here, we have proposed a Vehicular Density Value (VDV) based adaptive traffic light control system method for 4-way intersection points using a selection of rotation, area of interest, and Statistical Block Matching Approach (SBMA). Graphical User Interface (GUI) and Hardware-based results are shown in the result section. We have compared, the normal traffic light control system with the proposed adaptive traffic light control system in the results section. The same results are verified using a hardware (raspberry-pi) device with different sizes, colors, and shapes of vehicles using the same method.
The document provides a summary of the final report of the Connected Cruise Control project. The project aimed to develop a system that provides drivers with tactical driving advice based on integrating in-vehicle systems with roadside traffic data. The project addressed questions related to the system architecture, data fusion within vehicles, the impact on traffic flow, functionalities of speed/headway/lane advice, and human-machine interface design. The project resulted in a demonstration system, models for estimating traffic flow, and HMI recommendations. The system architecture is designed to be open, interoperable and flexible to integrate current and future components.
Smart and efficient system for the detection of wrong cars parkingjournalBEEI
The document describes a smart parking detection system that uses cameras, Arduino, DC motors and a PIR sensor. The system is able to detect improperly parked vehicles by capturing images of parking spaces, identifying plate numbers of incorrectly parked cars using image processing in MATLAB, and recording plate numbers in a database. The system was tested across 50 images and achieved a 96% accuracy rate in detecting correct and incorrect parking. The system is presented as an efficient solution to help drivers park properly and assist parking area owners in remote monitoring.
Modern Transport problems arise when it is difficult behavior in A system according to the best possible pattern, being affected by traffic, human errors or accidents. In such cases, unpredictability can be helped by AI SERVICES
Vehicle detection by using rear parts and tracking systemeSAT Journals
Abstract Vision of Indian government; of making 100 smart cities, attracts our attention to intelligent transport system. Traffic flow analysis is a part of intelligent transport system. It mainly contains three parts: vehicle detection, classification and vehicle tracking par t. Recently, there are different detection and tracking methods like computer vision based, magnetic frequency wave based etc. With the rapid development of computer vision techniques, visual detection has become increasingly popular in the transportation field. In urban traffic video monitoring systems, traffic congestion is a common scene that causes vehicle occlusion and is a challenge for current vehicle detection methods.In practical traffic scenarios, occlusion between vehicles often occurs; therefore, it is unreasonable to treat the vehicle as a whole. To overcome this problem we can use part based detection model. In our system the vehicle is treated as an object composed of multiple salient parts, including the license plate and rear lamps. These parts are localized using their distinctive color, texture, and region feature. Furthermore, the detected parts are treated as graph nodes to construct a probabilistic graph using a Markov random field model. After that, the marginal posterior of each part is inferred using loopy belief propagation to get final vehicle detection. Finally, the vehicles’ trajectories are estimated using a Kalman filter and a tracking-based detection technique is realized. This method we can use in daytime as well as night time and in any bad weather condition. Keywords vehicle detection, kalman filter, Markov model, tracking, rear lamps
Machine vision based smart parking system using Internet of ThingsTELKOMNIKA JOURNAL
It is expected that in the next decade, majority of world population will be living in cities.
Better public services and infrastructures in the city are needed to cope with the booming population.
City vehicles that cruising for parking have indirectly causing traffic, making one harder to travel around the
city. Thus, a smart parking system can certainly lays the foundation to build a smart city. This paper
proposed a cost-effective IoT smart parking system to monitor city parking space and provide real-time
parking information to drivers. Moreover, instead of the conventional approach that uses embedded
sensors to detect vehicles in the parking area, camera image and machine vision technology are used to
obtain the parking status. In the prototype, twenty outdoor parking lots are covered using a 5 megapixel
camera connected to Raspberry Pi 3 installed at the 5th floor of the nearby building. Machine vision in this
project that involved motion tracking and Canny edge detection are programmed in Python 2 using
OpenCV technology. Corresponding data is uploaded to an IoT platform called Ubidots for possible
monitoring activity. An Android mobile application is designed for user to download real-time data of
parking information. This paper introduces a low cost smart parking system with the overall detection
accuracy of 96.40%. Also, the mobile application allows users to alert other car owners for any emergency
incidents and double parking blockage. The developed system can provide a platform for users to search
for empty car parking with ease and reduce the traffic issues such as illegal double parking especially in
the urban area.
Artificial intelligence in transportation systemPoojaBele1
A presentation to show the use of artificial intelligence in transportation system.
Artificial Intelligence makes the transportation system more easier.
This presentation contains points to be studies in this field.
Statistics indicate that most road accidents occur due to a lack of time to react to instant traffic. This problem can be addressed with self-driving vehicles with the application of automated systems to detect such traffic events. The Autonomous Vehicle Navigation System (ATS) has been a standard in the Intelligent Transport System (ITS) and many Driver Assistance Systems (DAS) have been adopted to support these Advanced Autonomous Vehicles (IAVs). To develop these recognition systems for automated self-driving cars, it's important to monitor and operate in real-time traffic events. It requires the correct detection and response of traffic event an automated vehicle. In this paper proposed to develop such a system by applying image recognition to detect and respond to a road blocker by means of real-time distance measurement. To study the performance by measuring accuracy and precision of road blocker detection system and distance calculation, various experiments were conducted by using Shalom frame dataset and detection accuracy, precision of 99%, 100%, while distance calculation 97%, 99% has been achieved by this approach.
A Synopsis of Simulation and Mobility Modeling in Vehicular Ad-hoc Networks (...IOSR Journals
Abstract : Vehicular communication is considered to be a backbone for many critical safety applications. In
order to achieve a better implementation of any vehicular communication scenario, an efficient, accurate and
reliable simulator is essential. Various open source and commercial simulating tools are available for this
purpose. One of the key issues in this regard is the selection of a reliable simulator which implements all
standard algorithms and paradigms giving accurate results. In this paper, we first present IEEE standard and
protocols for vehicular communication, IEEE 802.11p and IEEE 1609.x, also known as WAVE protocol stack.
The paper then discusses the necessary requirements for a generic discrete event simulator which can be used to
simulate Vehicular Ad-hoc Networks. Since not all the network simulators can be used in the scenario of
vehicular communication, we highlight the key features of some network simulators in the context of vehicular
ad-hoc networks. The paper also highlights some of the implementation limitations in these simulators.
Furthermore, the paper presents a discussion on traffic simulators by emphasizing on the underlying mobility
models used in order to generate the realistic traffic patterns. A comparative study of both network and traffic
simulators show the pros and cons of these simulation tools. The paper suggests the appropriate choice of a
network simulator to be used as a VANET simulator.
Keywords: VANET, IEEE 802.11p, WAVE-PHY, WAVE-MAC, Simulators, Modeling
This document discusses applications of artificial intelligence technology in the field of intelligent transportation. It describes how AI can be used for tasks like computer vision, natural language processing, and robotics to help manage traffic flow, enforce traffic laws, and improve transportation efficiency and safety. The document provides examples of AI systems that have been implemented, such as a system in Hangzhou, China that uses 50,000 cameras and AI to reduce the need for traffic police. It also outlines solutions that one company, Vion Technologies, provides for intelligent transportation using equipment like smart cameras and analysis terminals.
The European Master in Automotive Engineering (EMAE) is a two-year master's program offered through a partnership between HAN University of Applied Sciences in the Netherlands, the Czech Technical University in Prague, and the University of Brest in France. The program aims to develop highly skilled automotive professionals with both technical and management skills through courses taught in English. In the first year, students take classes in Prague, and in the second year students can choose to study at the University of Brest or HAN University to complete their degree. The program is unique in Europe for its international cooperation between universities and opportunity to earn a double degree.
The realistic mobility evaluation of vehicular ad hoc network for indian auto...ijasuc
In recent years, continuous progress in wireless communication has opened a new research field in
computer networks. Now a day’s wireless ad-hoc networking is an emerging research technology that
needs attention of the industry people and the academicians. A vehicular ad-hoc network uses vehicles as
mobile nodes to create mobility in a network.
It’s a challenge to generate realistic mobility for Indian networks as no TIGER or Shapefile map is
available for Indian Automotive Networks.
This paper simulates the realistic mobility of the Vehicular Ad-hoc Networks (VANETs). The key feature of
this work is the realistic mobility generation for the Indian Automotive Intelligent Transport System (ITS)
and also to analyze the throughput, packet delivery fraction (PDF) and packet loss for realistic scenario.
The experimental analysis helps in providing effective communication for safety to the driver and
passengers.
Smart Car Parking system using GSM Technologydbpublications
In this paper, we present PGS, a Parking Guidance System based on wireless sensor network(WSN) which guides a driver to an available parking lot. The system consists of a WSN based VDS (vehicle detection sub-system) and a management subsystem. The WSN based VDS gathers information on the availability of each parking lot and the management sub-system processes the information and refines them and guides the driver to the available parking lot by controlling a VMS (Variable Messaging System). The paper describes the overall system architecture of PGS from the hardware platform to the application software in the view point of a WSN. We implemented the WSN based VDS of PGS and experimented on the system with several kinds of cars.
An Overview of Parking Slot Detection Techniquesijtsrd
The aim of this study is to design and implement an automatic parking system to increase parking usability and safety and to collect parking fees for vehicles without having to use a magnetic card. A clever car park system can work with fewer human connections and does not need a magnetic card. There is also a parking assistance system that can advise and guide the user to the correct car park. In order to detect the number plates for the parking and payment system, the system used image processing. In general, the systems use pre programmed controls to ensure that at least one person is involved in the parking system and control access to restricted areas. Ashu Yadav | Kirti Bhatia | Rohini Sharma "An Overview of Parking Slot Detection Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd46321.pdf Paper URL: https://www.ijtsrd.com/computer-science/realtime-computing/46321/an-overview-of-parking-slot-detection-techniques/ashu-yadav
The next generation intelligent transport systems: standards and applicationsWongyos Keardsri
This document summarizes Wongyos Keardsri's seminar on intelligent transportation systems and ubiquitous ITS (u-ITS). It defines ITS as applying information and communication technologies to transport infrastructure and vehicles. Next generation ITS applies ubiquitous computing. U-ITS aims to provide transportation services that are user-centric, always available, seamless, and provide transparency of transportation environment status. The document also compares ITS and u-ITS and describes examples of u-ITS projects in the USA, Europe, Japan, and Thailand.
The document summarizes the capabilities of the TTI driving simulator. The simulator contains a mock vehicle cabin with steering wheel, pedals, and displays providing a 153 degree field of view. It can simulate a variety of roadway environments both rural and urban. Researchers can use the simulator to test driver responses to different road designs, signs, and in-vehicle technologies in a safe and controlled environment. The simulator collects extensive driving performance data to study factors like distraction, stress, and comprehension of road signs. It is a valuable research tool for exploring transportation safety issues.
Intelligent Transportation Systems (ITS) is the application of computer, electronics, and communication technologies and management strategies in an integrated manner to provide traveller information to increase the safety and efficiency of the surface transportation systems.
These systems involve vehicles, drivers, passengers, road operators, and managers all interacting with each other and the environment, and linking with the complex infrastructure systems to improve the safety and capacity of road systems.
ITS is an emerging transportation system which is comprised of an advanced information and Telecommunications network for users, roads and vehicles.
Deal of the month tom tom acquired autonomosDirk Freiland
Deal of the month: Clairfield analysed the acquisition of Autonomos, a Berlin-based IT startup specializing in research and development services in the areas of automotive software, by TomTom
Manuscript next generation advanced driver assistance systems towards the pro...Ilona Anna Cieslik
This document summarizes a research project called PROSPECT that aims to improve active safety systems for protecting vulnerable road users like cyclists and pedestrians. The project will develop and test new sensor and control technologies on three vehicle demonstrators. Key findings from accident analyses were used to identify the most common accident scenarios and develop test cases to evaluate the demonstrator vehicles. Naturalistic observations of vehicle-cyclist and vehicle-pedestrian interactions were also conducted. The demonstrator vehicles will feature expanded sensor fields of view, improved detection and classification of vulnerable road users, and controls that can automatically steer or brake to avoid collisions. The goal is to enhance safety and address limitations of current systems through innovative sensing and reaction capabilities.
Paper No.19-0277-O
Improving the Effectiveness of Active Safety Systems to Significantly Reduce Accidents with Vulnerable Road Users - The Project Prospect (Proactive Safety for Pedestrians and Cyclists)
ILONA CIEŚLIK
IDIADA Automotive Technology, Spain
JORDANKA KOVACEVA
Chalmers University of Technology, Sweden
MARIE-PIERRE BRUYAS
Institut Français des Sciences et Technologies des Transports, de l’Aménagement et des Réseaux (IFSTTAR), France
DAVID R. LARGE
University of Nottingham, United Kingdom
MARTIN KUNERT
Robert Bosch GmbH, Germany
SEBASTIAN KREBS
Daimler AG, Germany MAXIM ARBITMANN
Continental Teves AG & Co.OHG, Germany
ITS 2018 Denmark Publication: Advancing active safety and testing methodologi...Ilona Anna Cieslik
This document discusses the PROSPECT project which aims to improve active safety systems for protecting vulnerable road users (VRUs) like pedestrians and cyclists. The project seeks to (1) expand the scope of urban scenarios addressed, (2) improve overall autonomous emergency braking and steering system performance, and (3) propose extensive validation methodologies for testing. Accident analysis identified the most common accident scenarios involving VRUs. Naturalistic observations provided additional behavior data. Three demonstration vehicles will test sensor and control concepts in realistic scenarios using novel dummy specimens. The vehicles aim to address limitations of current systems like sensor field-of-view and reaction times. Extensive testing methodologies beyond current practices are proposed.
Mohamed Benmimoun, ika, Incident definition and usage within the euroFOT projecteuroFOT
This document discusses defining incident events for use in the euroFOT project, which aims to evaluate advanced driver assistance systems using instrumented vehicles. It notes that defining incidents is important for answering research questions and assessing impacts. A challenge is defining incidents that suit the different data acquisition systems used by the five vehicle management centers. The document proposes an approach to define incidents based on all needed sensors and signals to be recorded, so that incident events can be determined across the different systems.
This document describes research into using the Tecnomatix Plant Simulation software to simulate and visualize traffic processes at a traffic node. The researchers created a simulation model and methodology for simulating traffic light intersections using this software, which was originally intended for production and logistics processes. Their goal was to develop a simulation model that could jointly simulate both production logistics and city logistics processes. Their work demonstrates that Tecnomatix Plant Simulation has potential for creating microscopic traffic simulation models and visualizing traffic processes at intersections. The proposed methodology could enable combining simulations of production logistics and their effects on public transportation networks and urban mobility in a single integrated model.
This document summarizes an embedded system-based robotic vehicle protection project using STISIM driving simulation software. Key aspects include:
- The project uses sensors like temperature, fuel level, speed and limit switches connected to an ATMEGA microcontroller to monitor a vehicle. If any abnormal readings are detected, the microcontroller transmits the data via GSM to a monitoring PC.
- STISIM driving simulation software is used to simulate the vehicle, sensors and monitoring system for testing purposes. It provides a real-time simulated experience.
- In the event of an accident, theft or abnormal behavior, the system can locate the vehicle using GPS, stop it using relays, and provide data to police for
This document summarizes an embedded system-based project for vehicle protection using STISIM driving simulation software. The project uses sensors to monitor a vehicle's temperature, fuel level, speed, and other parameters. If any parameters exceed safe thresholds, the microcontroller will send an alert to authorities using GSM. The monitoring unit receives the alerts using a modem connected to a PC. STISIM simulation software is used to provide a realistic driving experience to help prevent accidents and investigate incidents. The overall goal is to increase vehicle and road safety through monitoring and accident prevention/investigation capabilities.
Integrated tripartite modules for intelligent traffic light systemIJECEIAES
The traffic in urban areas is primarily controlled by traffic lights, contributing to the excessive, if not properly installed, long waiting times for vehicles. The condition is compounded by the increasing number of road accidents involving pedestrians in cities across the world. Thus, this work presents an integrated tripartite module for an intelligent traffic light system. This system has enough ingredients for success that can solve the above challenges. The proposed system has three modules: the intelligent visual monitoring module, intelligent traffic light control module, and the intelligent recommendation module for emergency vehicles. The monitor module is a visual module capable of identifying the conditions of traffic in the streets. The intelligent traffic light control module configures many intersections in a city to improve the flow of vehicles. Finally, the intelligent recommendation module for emergency vehicles offers an optimal path for emergency vehicles. The evaluation of the proposed system has been carried out in Al-Sader city/Bagdad/Iraq. The intelligent recommendation module for the emergency vehicles module shows that the optimization rate average for the optimal path was in range 67.13% to 92%, where the intelligent traffic light control module shows that the optimization ratio was in range 86% to 91.8%.
International Journal of Artificial Intelligence & Applications (IJAIA)gerogepatton
The conventional pedestrian crossing system's shortcomings require urgent reform to enhance the safety of
pedestrians and improve urban mobility. Issues such as insufficient time for pedestrians to cross, prolong
waiting times, neglection of emergency vehicles, and the absence of effective 24/7 response mechanisms at
traditional crosswalks present significant safety concerns in urban areas. Our primary intention is to
develop a cutting-edge pedestrian crossing system that relies on deep learning and image processing
technologies as its foundation. This research addresses to innovate an advanced smart crosswalk
consisting of four essential components: a real-time Pedestrian Detection and Priority System customized
for individuals with special needs, a responsive system for detecting road conditions, vehicle availability
and speed near crosswalks, a real-time Emergency Vehicle Detection and Priority System strengthened by
rigorous verification procedures, and a robust framework for identifying pedestrian accidents and
violations of crosswalk rules. The entire system has been meticulously designed not only to enhance
pedestrian safety by identifying potential dangers but also to optimize traffic flow. In essence, it aims to
provide an improved pedestrian crossing experience characterized by increased safety and efficiency.
Artificial intelligence in transportation systemPoojaBele1
A presentation to show the use of artificial intelligence in transportation system.
Artificial Intelligence makes the transportation system more easier.
This presentation contains points to be studies in this field.
Statistics indicate that most road accidents occur due to a lack of time to react to instant traffic. This problem can be addressed with self-driving vehicles with the application of automated systems to detect such traffic events. The Autonomous Vehicle Navigation System (ATS) has been a standard in the Intelligent Transport System (ITS) and many Driver Assistance Systems (DAS) have been adopted to support these Advanced Autonomous Vehicles (IAVs). To develop these recognition systems for automated self-driving cars, it's important to monitor and operate in real-time traffic events. It requires the correct detection and response of traffic event an automated vehicle. In this paper proposed to develop such a system by applying image recognition to detect and respond to a road blocker by means of real-time distance measurement. To study the performance by measuring accuracy and precision of road blocker detection system and distance calculation, various experiments were conducted by using Shalom frame dataset and detection accuracy, precision of 99%, 100%, while distance calculation 97%, 99% has been achieved by this approach.
A Synopsis of Simulation and Mobility Modeling in Vehicular Ad-hoc Networks (...IOSR Journals
Abstract : Vehicular communication is considered to be a backbone for many critical safety applications. In
order to achieve a better implementation of any vehicular communication scenario, an efficient, accurate and
reliable simulator is essential. Various open source and commercial simulating tools are available for this
purpose. One of the key issues in this regard is the selection of a reliable simulator which implements all
standard algorithms and paradigms giving accurate results. In this paper, we first present IEEE standard and
protocols for vehicular communication, IEEE 802.11p and IEEE 1609.x, also known as WAVE protocol stack.
The paper then discusses the necessary requirements for a generic discrete event simulator which can be used to
simulate Vehicular Ad-hoc Networks. Since not all the network simulators can be used in the scenario of
vehicular communication, we highlight the key features of some network simulators in the context of vehicular
ad-hoc networks. The paper also highlights some of the implementation limitations in these simulators.
Furthermore, the paper presents a discussion on traffic simulators by emphasizing on the underlying mobility
models used in order to generate the realistic traffic patterns. A comparative study of both network and traffic
simulators show the pros and cons of these simulation tools. The paper suggests the appropriate choice of a
network simulator to be used as a VANET simulator.
Keywords: VANET, IEEE 802.11p, WAVE-PHY, WAVE-MAC, Simulators, Modeling
This document discusses applications of artificial intelligence technology in the field of intelligent transportation. It describes how AI can be used for tasks like computer vision, natural language processing, and robotics to help manage traffic flow, enforce traffic laws, and improve transportation efficiency and safety. The document provides examples of AI systems that have been implemented, such as a system in Hangzhou, China that uses 50,000 cameras and AI to reduce the need for traffic police. It also outlines solutions that one company, Vion Technologies, provides for intelligent transportation using equipment like smart cameras and analysis terminals.
The European Master in Automotive Engineering (EMAE) is a two-year master's program offered through a partnership between HAN University of Applied Sciences in the Netherlands, the Czech Technical University in Prague, and the University of Brest in France. The program aims to develop highly skilled automotive professionals with both technical and management skills through courses taught in English. In the first year, students take classes in Prague, and in the second year students can choose to study at the University of Brest or HAN University to complete their degree. The program is unique in Europe for its international cooperation between universities and opportunity to earn a double degree.
The realistic mobility evaluation of vehicular ad hoc network for indian auto...ijasuc
In recent years, continuous progress in wireless communication has opened a new research field in
computer networks. Now a day’s wireless ad-hoc networking is an emerging research technology that
needs attention of the industry people and the academicians. A vehicular ad-hoc network uses vehicles as
mobile nodes to create mobility in a network.
It’s a challenge to generate realistic mobility for Indian networks as no TIGER or Shapefile map is
available for Indian Automotive Networks.
This paper simulates the realistic mobility of the Vehicular Ad-hoc Networks (VANETs). The key feature of
this work is the realistic mobility generation for the Indian Automotive Intelligent Transport System (ITS)
and also to analyze the throughput, packet delivery fraction (PDF) and packet loss for realistic scenario.
The experimental analysis helps in providing effective communication for safety to the driver and
passengers.
Smart Car Parking system using GSM Technologydbpublications
In this paper, we present PGS, a Parking Guidance System based on wireless sensor network(WSN) which guides a driver to an available parking lot. The system consists of a WSN based VDS (vehicle detection sub-system) and a management subsystem. The WSN based VDS gathers information on the availability of each parking lot and the management sub-system processes the information and refines them and guides the driver to the available parking lot by controlling a VMS (Variable Messaging System). The paper describes the overall system architecture of PGS from the hardware platform to the application software in the view point of a WSN. We implemented the WSN based VDS of PGS and experimented on the system with several kinds of cars.
An Overview of Parking Slot Detection Techniquesijtsrd
The aim of this study is to design and implement an automatic parking system to increase parking usability and safety and to collect parking fees for vehicles without having to use a magnetic card. A clever car park system can work with fewer human connections and does not need a magnetic card. There is also a parking assistance system that can advise and guide the user to the correct car park. In order to detect the number plates for the parking and payment system, the system used image processing. In general, the systems use pre programmed controls to ensure that at least one person is involved in the parking system and control access to restricted areas. Ashu Yadav | Kirti Bhatia | Rohini Sharma "An Overview of Parking Slot Detection Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd46321.pdf Paper URL: https://www.ijtsrd.com/computer-science/realtime-computing/46321/an-overview-of-parking-slot-detection-techniques/ashu-yadav
The next generation intelligent transport systems: standards and applicationsWongyos Keardsri
This document summarizes Wongyos Keardsri's seminar on intelligent transportation systems and ubiquitous ITS (u-ITS). It defines ITS as applying information and communication technologies to transport infrastructure and vehicles. Next generation ITS applies ubiquitous computing. U-ITS aims to provide transportation services that are user-centric, always available, seamless, and provide transparency of transportation environment status. The document also compares ITS and u-ITS and describes examples of u-ITS projects in the USA, Europe, Japan, and Thailand.
The document summarizes the capabilities of the TTI driving simulator. The simulator contains a mock vehicle cabin with steering wheel, pedals, and displays providing a 153 degree field of view. It can simulate a variety of roadway environments both rural and urban. Researchers can use the simulator to test driver responses to different road designs, signs, and in-vehicle technologies in a safe and controlled environment. The simulator collects extensive driving performance data to study factors like distraction, stress, and comprehension of road signs. It is a valuable research tool for exploring transportation safety issues.
Intelligent Transportation Systems (ITS) is the application of computer, electronics, and communication technologies and management strategies in an integrated manner to provide traveller information to increase the safety and efficiency of the surface transportation systems.
These systems involve vehicles, drivers, passengers, road operators, and managers all interacting with each other and the environment, and linking with the complex infrastructure systems to improve the safety and capacity of road systems.
ITS is an emerging transportation system which is comprised of an advanced information and Telecommunications network for users, roads and vehicles.
Deal of the month tom tom acquired autonomosDirk Freiland
Deal of the month: Clairfield analysed the acquisition of Autonomos, a Berlin-based IT startup specializing in research and development services in the areas of automotive software, by TomTom
Manuscript next generation advanced driver assistance systems towards the pro...Ilona Anna Cieslik
This document summarizes a research project called PROSPECT that aims to improve active safety systems for protecting vulnerable road users like cyclists and pedestrians. The project will develop and test new sensor and control technologies on three vehicle demonstrators. Key findings from accident analyses were used to identify the most common accident scenarios and develop test cases to evaluate the demonstrator vehicles. Naturalistic observations of vehicle-cyclist and vehicle-pedestrian interactions were also conducted. The demonstrator vehicles will feature expanded sensor fields of view, improved detection and classification of vulnerable road users, and controls that can automatically steer or brake to avoid collisions. The goal is to enhance safety and address limitations of current systems through innovative sensing and reaction capabilities.
Paper No.19-0277-O
Improving the Effectiveness of Active Safety Systems to Significantly Reduce Accidents with Vulnerable Road Users - The Project Prospect (Proactive Safety for Pedestrians and Cyclists)
ILONA CIEŚLIK
IDIADA Automotive Technology, Spain
JORDANKA KOVACEVA
Chalmers University of Technology, Sweden
MARIE-PIERRE BRUYAS
Institut Français des Sciences et Technologies des Transports, de l’Aménagement et des Réseaux (IFSTTAR), France
DAVID R. LARGE
University of Nottingham, United Kingdom
MARTIN KUNERT
Robert Bosch GmbH, Germany
SEBASTIAN KREBS
Daimler AG, Germany MAXIM ARBITMANN
Continental Teves AG & Co.OHG, Germany
ITS 2018 Denmark Publication: Advancing active safety and testing methodologi...Ilona Anna Cieslik
This document discusses the PROSPECT project which aims to improve active safety systems for protecting vulnerable road users (VRUs) like pedestrians and cyclists. The project seeks to (1) expand the scope of urban scenarios addressed, (2) improve overall autonomous emergency braking and steering system performance, and (3) propose extensive validation methodologies for testing. Accident analysis identified the most common accident scenarios involving VRUs. Naturalistic observations provided additional behavior data. Three demonstration vehicles will test sensor and control concepts in realistic scenarios using novel dummy specimens. The vehicles aim to address limitations of current systems like sensor field-of-view and reaction times. Extensive testing methodologies beyond current practices are proposed.
Mohamed Benmimoun, ika, Incident definition and usage within the euroFOT projecteuroFOT
This document discusses defining incident events for use in the euroFOT project, which aims to evaluate advanced driver assistance systems using instrumented vehicles. It notes that defining incidents is important for answering research questions and assessing impacts. A challenge is defining incidents that suit the different data acquisition systems used by the five vehicle management centers. The document proposes an approach to define incidents based on all needed sensors and signals to be recorded, so that incident events can be determined across the different systems.
This document describes research into using the Tecnomatix Plant Simulation software to simulate and visualize traffic processes at a traffic node. The researchers created a simulation model and methodology for simulating traffic light intersections using this software, which was originally intended for production and logistics processes. Their goal was to develop a simulation model that could jointly simulate both production logistics and city logistics processes. Their work demonstrates that Tecnomatix Plant Simulation has potential for creating microscopic traffic simulation models and visualizing traffic processes at intersections. The proposed methodology could enable combining simulations of production logistics and their effects on public transportation networks and urban mobility in a single integrated model.
This document summarizes an embedded system-based robotic vehicle protection project using STISIM driving simulation software. Key aspects include:
- The project uses sensors like temperature, fuel level, speed and limit switches connected to an ATMEGA microcontroller to monitor a vehicle. If any abnormal readings are detected, the microcontroller transmits the data via GSM to a monitoring PC.
- STISIM driving simulation software is used to simulate the vehicle, sensors and monitoring system for testing purposes. It provides a real-time simulated experience.
- In the event of an accident, theft or abnormal behavior, the system can locate the vehicle using GPS, stop it using relays, and provide data to police for
This document summarizes an embedded system-based project for vehicle protection using STISIM driving simulation software. The project uses sensors to monitor a vehicle's temperature, fuel level, speed, and other parameters. If any parameters exceed safe thresholds, the microcontroller will send an alert to authorities using GSM. The monitoring unit receives the alerts using a modem connected to a PC. STISIM simulation software is used to provide a realistic driving experience to help prevent accidents and investigate incidents. The overall goal is to increase vehicle and road safety through monitoring and accident prevention/investigation capabilities.
Integrated tripartite modules for intelligent traffic light systemIJECEIAES
The traffic in urban areas is primarily controlled by traffic lights, contributing to the excessive, if not properly installed, long waiting times for vehicles. The condition is compounded by the increasing number of road accidents involving pedestrians in cities across the world. Thus, this work presents an integrated tripartite module for an intelligent traffic light system. This system has enough ingredients for success that can solve the above challenges. The proposed system has three modules: the intelligent visual monitoring module, intelligent traffic light control module, and the intelligent recommendation module for emergency vehicles. The monitor module is a visual module capable of identifying the conditions of traffic in the streets. The intelligent traffic light control module configures many intersections in a city to improve the flow of vehicles. Finally, the intelligent recommendation module for emergency vehicles offers an optimal path for emergency vehicles. The evaluation of the proposed system has been carried out in Al-Sader city/Bagdad/Iraq. The intelligent recommendation module for the emergency vehicles module shows that the optimization rate average for the optimal path was in range 67.13% to 92%, where the intelligent traffic light control module shows that the optimization ratio was in range 86% to 91.8%.
International Journal of Artificial Intelligence & Applications (IJAIA)gerogepatton
The conventional pedestrian crossing system's shortcomings require urgent reform to enhance the safety of
pedestrians and improve urban mobility. Issues such as insufficient time for pedestrians to cross, prolong
waiting times, neglection of emergency vehicles, and the absence of effective 24/7 response mechanisms at
traditional crosswalks present significant safety concerns in urban areas. Our primary intention is to
develop a cutting-edge pedestrian crossing system that relies on deep learning and image processing
technologies as its foundation. This research addresses to innovate an advanced smart crosswalk
consisting of four essential components: a real-time Pedestrian Detection and Priority System customized
for individuals with special needs, a responsive system for detecting road conditions, vehicle availability
and speed near crosswalks, a real-time Emergency Vehicle Detection and Priority System strengthened by
rigorous verification procedures, and a robust framework for identifying pedestrian accidents and
violations of crosswalk rules. The entire system has been meticulously designed not only to enhance
pedestrian safety by identifying potential dangers but also to optimize traffic flow. In essence, it aims to
provide an improved pedestrian crossing experience characterized by increased safety and efficiency.
SMART CROSSWALK: MACHINE LEARNING AND IMAGE PROCESSING BASED PEDESTRIAN AND V...gerogepatton
The document describes a proposed smart crosswalk system that uses machine learning and image processing to monitor pedestrians and vehicles. It has four main components: 1) a real-time pedestrian detection and priority system customized for individuals with special needs, 2) a system to detect road conditions, vehicle availability and speed, 3) a real-time emergency vehicle detection and priority system, and 4) a system to identify pedestrian accidents and violations of crosswalk rules. The overall aim is to enhance pedestrian safety and traffic flow.
Business intelligence on the chinese greentech marketEC2i
EC2i objective is to support the internationalisation of European Cleantech SMEs in China and the United States by conducting cluster missions and facilitating cross-cluster partnerships. In this sense, attention is paid to developing tools to guide SMEs through the process of forming consortia and developing projects with clients.
Business intelligence for relevant US and Chinese markets have been collected in reports and are here disseminated to SMEs.
The tools presented here address general barrieres to internationalisation as well as more specific problems SMEs face when integrating themselves into complex, international value chains.
Interview of Prof. Francesco Flammini published on Railway Gazette about the Europe's Rail project "Roadmaps for A.I. Integration in the Rail Sector" (RAILS) that he led as the Technical Manager.
IRJET- Image Processing based Intelligent Traffic Control and Monitoring ...IRJET Journal
This document summarizes a research paper on an intelligent traffic control and monitoring system using image processing and the Internet of Things. The system aims to reduce traffic congestion by controlling traffic lights based on real-time traffic density detected through image processing of vehicle images. It consists of hardware and software modules. The hardware uses cameras to capture vehicle images and the software uses image processing techniques like object detection and classification to detect and count vehicles in real-time and estimate traffic density. This information is then used to dynamically adjust traffic light timings with the goal of optimizing traffic flow and reducing waiting times at signals. The system is meant to provide a more efficient solution to traffic management than conventional fixed-time traffic light control systems.
This document is a seminar report on automated highway systems presented by Samir Chauhan. It includes an introduction to automated highway systems, a discussion of major AHS goals like improving safety and mobility. It describes 5 concepts for AHS including independent vehicle, cooperative, infrastructure-supported, and adaptable concepts. It also discusses current vehicle technologies that could enable AHS like collision warning systems. The report outlines a 5 layer control design for AHS including physical, regulation, coordination, and link layers. It describes the on-board vehicle control system and roadside control system's roles in optimizing traffic flow and vehicle safety. The conclusion acknowledges more research is still needed due to lack of continued funding.
Increasing traffic in major urban regions leads to congestion which challenges cities and urban regions in terms of mobility, pollution and safety. ITS is application of information and communications technology (ICT) to the transport sector in the interests of safer, more sustainable & more efficient movement of goods & people.
The integration of intelligent infrastructure and intelligent vehicles had gained wide acceptance yet understanding the various options without incurring unnecessary expenditure is core in ITS planning and implementation. The presentation explains various ITS portfolios, value chain and life-cycle management with focus on the appropriate level of integration.
With growing, Car parking increases with the number of car users. With the increased use of smartphones and their applications, users prefer mobile phone-based solutions. This paper proposes the Smart Parking Management System (SPMS) that depends on Arduino parts, Android applications, and based on IoT. This gave the client the ability to check available parking spaces and reserve a parking spot. IR sensors are utilized to know if a car park space is allowed. Its area data are transmitted using the WI-FI module to the server and are recovered by the mobile application which offers many options attractively and with no cost to users and lets the user check reservation details. With IoT technology, the smart parking system can be connected wirelessly to easily track available locations.
With growing, Car parking increases with the number of car users. With the increased use of smartphones
and their applications, users prefer mobile phone-based solutions. This paper proposes the Smart Parking
Management System (SPMS) that depends on Arduino parts, Android applications, and based on IoT. This
gave the client the ability to check available parking spaces and reserve a parking spot. IR sensors are
utilized to know if a car park space is allowed. Its area data are transmitted using the WI-FI module to the
server and are recovered by the mobile application which offers many options attractively and with no cost
to users and lets the user check reservation details. With IoT technology, the smart parking system can be
connected wirelessly to easily track available locations.
This document summarizes a research paper on a smart parking management system that uses IoT technology. The system uses infrared sensors to detect available parking spaces. It transmits parking availability data via Wi-Fi to a server, which then provides the information to a mobile app. The app allows users to check for and reserve available spaces conveniently and free of cost. The system aims to help users more efficiently find parking and reduce traffic and fuel consumption by eliminating unnecessary driving to locate spots. It integrates technologies like Arduino, Android apps, infrared sensors, and cloud computing within an IoT framework.
The document describes the i-SCOPE project which aims to develop an open source toolkit for 3D smart city services based on 3D Urban Information Models (UIMs). The toolkit will include services to create CityGML models from geospatial data and develop smart services around mobility for disabled citizens, energy efficiency, and noise mapping. It will be tested on existing prototypes and involve city administrations. The objectives are to improve decision making around urban planning issues and involve citizens by collecting real-time geospatial data while ensuring privacy and security. The toolkit and specifications will be open source and maintained by a European Economic Interest Grouping after the project.
The current deliverable under the title “D7.2 Initial Dissemination Material” presents all the dissemination and communication material produced by the EFFECTOR consortium by M6 of project’s lifecycle, i.e. October 2020 – March 2021. Particularly, it outlines in detail the elements of the EFFECTOR visual identity (including the official EFFECTOR templates), the project’s printable dissemination materials (poster, leaflet, brochure) as well as the digital ones (the 1st newsletter issue, 1st press release, project’s overall presentation and other supportive digital material). Moreover, it lists the foreseen actions related to the creation of further dissemination materials from M7 to M18 (project’s completion).
D7.2 is a public deliverable of this project, part of WP7 and additionally includes information about the project's scope and objectives as well as the description of WP7 in order to ensure that no prior knowledge related to the project, the DoA and the other WP7 deliverables is requested from the reader. Overall, it is based on, and is consistent with the DoA and the GA, but is not a substitute for reading these documents.
Project's Website: www.effector-project.eu
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 883374.
The current deliverable is a report of the activities made within Task 7.2 “Workshops Coordination” in regards to the organization of the first ANDROMEDA workshop that was held virtually on the 28th and 29th September 2020. These activities include the creation of event’s programme (Agenda), the invitations sent to potential attendees, the digital promotional material created and the announcements made via social media for raising the visibility of the event. It should be stressed that the physical workshop would have taken place in Tres Cantos (Spain) in early September of 2020 and preparatory activities towards its realization were made. After the outbreak of COVID-19, the ANDROMEDA consortium following the guidelines of national authorities, decided to turn the event from physical into a virtual one. Nevertheless, the core part of this document is dedicated in presenting the topics elaborated by the speakers and the discussions made.
Project's Website: www.andromeda-project.eu
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 833881.
The current deliverable reports the activities performed within Task 7.2 “Workshops Coordination” towards the organization of the second ANDROMEDA workshop that was held virtually on the 23rd June 2021. In conjunction with the workshop the consortium also organized online the Demonstration Event, the day after. These activities include the creation of both events’ programme (Agenda), the invitations sent to potential attendees, the digital promotional material created, the creation of the registration link and the information sheet for participation and data processing, the announcements made via the project’s website and social media for raising their visibility. Nevertheless, the core part of this document is dedicated in presenting the topics elaborated by the speakers, the discussions made and the results produced from both events.
Lastly, it should be noted that the ANDROMEDA project team decided to organize these events virtually as the vaccination programme across EU member states was under deployment and the risk for spreading the COVID-19 virus to partners, speakers and attendees was still valid.
Project's Website: www.andromeda-project.eu
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 833881.
This deliverable presents all the dissemination and communication material produced by the ANDROMEDA consortium within the second period of the project, i.e. September 2020 – July 2021. Particularly, it outlines the material created for the promotion of the first workshop (Sept. 2020) as well as the final one (Jun. 2021) of ANDROMEDA. Also, other materials created within the aforementioned period are described. It should be noted that the material produced within the first period of the project has been reported in deliverable D7.2 Initial Dissemination Materials.
D.7.3 is a public deliverable of this project, part of WP7 and additionally includes information about the project and a short description of WP7 in order to ensure that no prior knowledge related to the project, the DoA and the other WP7 deliverables is requested from the reader. Overall, it is based on, and is consistent with the DoA and the GA, but is not a substitute for reading these documents.
Lastly, it should be mentioned that the project has received a six-month extension of its lifecycle due to the COVID-19 impact on project’s activities and thus the submission date of this deliverable has been altered from M15 (Nov. 2020) as it was foreseen in DoA to M23 (Jul. 2021).
Project's Website: www.andromeda-project.eu
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 833881.
The current deliverable presents all the communication material produced by the ANDROMEDA consortium within the first year of the project, i.e. September 2019 – August 2020. Particularly, it outlines in detail the elements of the ANDROMEDA visual identity (including the official ANDROMEDA templates), the project’s printable dissemination materials (leaflet, roll up banners) as well as the digital ones (Newsletter issues, press release and other digital material). Moreover, it introduces to the reader the forthcoming actions to be made related to the creation of such material.
Project's website: www.andromeda-project.eu
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 833881.
5G-MOBIX: Presentation of the ES – PT Cross Border Corridor. A Webinar hosted...Pantelis Kanellopoulos
The second webinar of the EU funded project under H2020 programme, 5G-MOBIX was moderated by Pantelis Kanellopoulos. The webinar was held on 20th May 2020 and it was hosted by ERTICO Academy.
More information about the webinar is available on project's website at:
https://www.5g-mobix.com/resources/webinars/5g-mobix-presentation-of-the-es-pt-cross-border-corridor-a-webinar-hosted-by-the-ertico-academy#agenda
Webinar Agenda
>Welcoming - Pantelis Kanellopoulos, ICCS
> 5G for CCAM - Jorge Pereira, Project Officer and Principal Scientific Officer > European Commission, DG CONNECT
> 5G MOBIX project presentation - Nikolaos Tsampieris, ERTICO
> 5G Network Infrastructure - Juan Francisco, TELEFONICA
> Technical Evaluation - Marta Miranda, CTAG
> Conclusions and outcomes- Joao Moutinho, CCG
> Questions and Answers
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no 825496.
This document defines the communication and dissemination strategy and plan for the EFFECTOR project. The strategy identifies key target audiences, objectives, and channels such as the project website, social media, newsletters, and events. It outlines dissemination content, procedures, and metrics. The plan provides a calendar of activities and action plan with partners' intended dissemination actions through various channels. The strategy aims to maximize the project's impact and support exploitation of results. It will guide dissemination of project objectives, results, and achievements to relevant stakeholders.
Project's website: https://nemo-emobility.eu/
This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement no 713794.
Project's website: http://www.floodserv-project.eu/
This project has received funding from the European Union' s Horizon 2020 research and innovation programme under grant agreement No 693599
Project's website: http://www.floodserv-project.eu/
This project has received funding from the European Union' s Horizon 2020 research and innovation programme under grant agreement No 693599
Project's website: http://www.floodserv-project.eu/
This project has received funding from the European Union' s Horizon 2020 research and innovation programme under grant agreement No 693599
Project's website: http://www.floodserv-project.eu/
This project has received funding from the European Union' s Horizon 2020 research and innovation programme under grant agreement No 693599
Project's website: http://www.floodserv-project.eu/
This project has received funding from the European Union' s Horizon 2020 research and innovation programme under grant agreement No 693599
Project's website: http://www.floodserv-project.eu/
This project has received funding from the European Union' s Horizon 2020 research and innovation programme under grant agreement No 693599
The FLOOD-serv project aims to provide a complete solution for flood awareness, response, and education about flood risks. It will make information available transparently using mobile technologies to increase openness of ICT platforms. The project will develop a proactive, personalized citizen-centric tool to empower local community involvement in designing flood relief actions. An emergency management console will gather information from social media, visualize the emergency status through maps, and track actions to be executed.
Project's website: http://www.floodserv-project.eu/
This project has received funding from the European Union' s Horizon 2020 research and innovation programme under grant agreement No 693599
Project's Website: http://www.sense4us.eu/
This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 611242
Project's Website: http://www.sense4us.eu/
This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 611242
COMRADES D6.4 Second Report on Communication and Dissemination Activities com...Pantelis Kanellopoulos
Project's wesbite: www.comrades-project.eu
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 687847. Content reflects only the author's view and the European Commission is not responsible for any use that may be made of the information it contains
Press Release for announcing the successful organization of the First Stakeholders Workshop of the C-Roads Greece project within the framework of the 6th ITS HELLAS Conference
Ever been troubled by the blinking sign and didn’t know what to do?
Here’s a handy guide to dashboard symbols so that you’ll never be confused again!
Save them for later and save the trouble!
Implementing ELDs or Electronic Logging Devices is slowly but surely becoming the norm in fleet management. Why? Well, integrating ELDs and associated connected vehicle solutions like fleet tracking devices lets businesses and their in-house fleet managers reap several benefits. Check out the post below to learn more.
The Octavia range embodies the design trend of the Škoda brand: a fusion of
aesthetics, safety and practicality. Whether you see the car as a whole or step
closer and explore its unique features, the Octavia range radiates with the
harmony of functionality and emotion
What Could Be Behind Your Mercedes Sprinter's Power Loss on Uphill RoadsSprinter Gurus
Unlock the secrets behind your Mercedes Sprinter's uphill power loss with our comprehensive presentation. From fuel filter blockages to turbocharger troubles, we uncover the culprits and empower you to reclaim your vehicle's peak performance. Conquer every ascent with confidence and ensure a thrilling journey every time.
1. Press Release
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grand
agreement no. 723395. This material reflects only the author’s view and the European Commission cannot be held responsible
for any use which may be made of the information contained therein.
For immediate release
Athens, 27th of October 2020
How do we interact with Automated Vehicles in the future?
After 41 months, the journey of the EU project interACT ends with great research achievements in the field of
Automated Vehicles with human traffic participants
Automated Vehicles (AVs) are going to be integrated in our
future traffic environment, but traffic will never be fully
automated. Think of pedestrians, cyclists or other human
driven vehicles. Thus, the interACT project aimed to
integrate AVs safely in mixed traffic environments. For this,
it is important that an AV can understand the intentions of
other road users, modify its driving path and communicate
its “decision” in real time.
The interACT project, funded by EU Horizon 2020, worked
on this complex topic from 2017 till the official project end
in autumn 2020. During this time, the interACT cross -
European research team made big progress toward the
integration of AVs in mixed traffic environments in
complex urban traffic environments.
Last face-to-face meeting of the interACT project partners in November 2019 at
the Technical University Munich. Due to the COVID-19 pandemic the Final Event
of the project was held virtually (see https://www.interact-
roadautomation.eu/final-event-overview/).
Development of socio-physiological models as basis
for the project
As basis for all project work, the researchers of the
interACT project developed socio-psychological models by
observing how humans interact in real life in complex
traffic environments. Therefore, they studied traffic
behaviour in three different European countries (UK,
Greece, Germany). The developed socio-psychological
models helped the interACT researchers to derive
promising interaction strategies, to improve vehicle
sensors and data processing algorithms for the decision
making of the AVs, and to evaluate their project results.
Implementation of project results in two
demonstrator vehicles
The main results of the project were demonstrated in two
research demonstrator vehicles by BMW and CRF, with the
support of all project partners.
BMW demonstration car with interACT system installed during the evaluation
study
2. Press Release
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grand
agreement no. 723395. This material reflects only the author’s view and the European Commission cannot be held responsible
for any use which may be made of the information contained therein.
CRF demonstration car with interACT system installed during the evaluation
study
- Communication via light signals
In the BMW demonstrator you can experience the
communication via light signals with surrounding traffic
participants. Within interACT, solutions for internal (iHMI)
and external human-machine interfaces (eHMI) were
developed using mainly the visual channel. Therefore,
easily understandable light signals were created to
transfer messages from the AV to human traffic
participants. Two different interaction strategies for light
signals were developed within the interACT project:
- The Perception-signalling design is characterised by
giving explicit information to other traffic participants that
they were perceived by the AV.
- In contrast, the Intention-signalling design provides
explicit information regarding the current vehicle
manoeuvres and intentions. In addition to the
development of the interaction strategies the technical
realisation also took place in interACT.
Hardware prototypes were created and implemented,
bringing the interACT strategies to real-life. Two methods
were chosen by the interACT researchers, the 360-degree
Light Band (eHMI 1) and Directed Signal Lamp (eHMI 2). In
particular:
For immediate release
The 360° Light band was mounted on the exterior of the
interACT demonstrator. By using the 360° approach, both
interaction strategies could be realised, ensuring high
visibility from all sides of the demonstrator vehicle.
360° Light band (e HMI 1)
A directed signal lamp is a newly developed hardware
component of the project. It transfers light signal to only
one specific traffic participant. Using this technology, light
signals can be addressed to a specific traffic participant
without interfering with others. The directed signal lamp
was used to transfer the perception-signalling interaction
strategy.
Directed Signal Lamp (e HMI 2)
- The “Brain” of the interACT system
In the CRF demonstrator vehicle you can experience the
algorithms for intention recognition of other traffic
participants and the main software component of the
interACT project for controlling the AV.
3. Press Release
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grand
agreement no. 723395. This material reflects only the author’s view and the European Commission cannot be held responsible
for any use which may be made of the information contained therein.
The “Brain” of the interACT system, the Cooperation and
Communication Planning Unit (CCPU) collects all the
traffic information from the environment and the machine.
Using an a-priori available digital map of the points of
interest providing lane-level information (Common Road
Format developed by TUM), the CCPU is able to predict the
future behaviour of each detected traffic participant on the
map (e.g. pedestrians, human operated vehicles).
Based on this prediction and the catalogue of the project
digitalized scenarios, the CCPU recognizes traffic conflicts,
classifies the traffic scene and develops a safe trajectory. If
the scenario is classified as time and safety critical, the
developed safety layer running in the background
intervenes in almost real time. Taking the planned
trajectory into consideration, the CCPU also triggers the
HMI (eHMI and iHMI) to communicate the planned
activities to the involved traffic actors. As a result, the
CCPU ensures that vehicle movement patterns are
matched with the messages communicated via HMI, which
leads to an avoidance of collisions and other types of
accidents while moving in real traffic.
The Cooperation and Communication Planning Unit (CCPU), the brain of the
interACT system
Evaluation of the project solutions
For the development and evaluation of the interaction
strategies different methods were used in interACT: i)
simulator experiments, ii) test-track studies iii) real-world
studies iv) quantitative modelling, and v) observations.
One of the project highlights was the evaluation of the
For immediate release
project-specific demonstrator vehicles from BMW and CRF.
More than 300 participants tested the interACT solutions
in evaluation studies in the UK, Germany, Italy and Greece.
The different study results show for instance that the
interACT solutions were well accepted and, in some cases,
increased the subjective safety and comprehensibility of
AV interaction strategies, while effects have to be
evaluated in further research.
Virtual reality studies during simulator experiments
The interACT Solutions at a Glance
- Socio-psychological models which were derived from real
traffic observation in three different European countries.
- Interaction strategies were developed for iHMI and
eHMI, which provide information to the on-board users
and other traffic participants for an efficient interaction.
- The directed signal lamp as new hardware component for
Automated Vehicle to give information to specific traffic
participants.
- Elaborated sensor algorithms for intention recognition
to allow the Automated Vehicle to interpret complex traffic
scenes.
- Cooperation and Communication Planning Unit (CCPU)
collects all information from the map, the vehicle sensors
and vehicle to plan and control a safe trajectory and
4. Press Release
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grand
agreement no. 723395. This material reflects only the author’s view and the European Commission cannot be held responsible
for any use which may be made of the information contained therein.
efficient interaction via HMI. This includes the Safety Layer
which is used to eliminate or reduce the severity of
collisions and intervenes only if necessary.
- Evaluation methodologies for the evaluation of complex
interaction of traffic participants with Automated Vehicles.
For immediate release
www.interact-roadautomation.eu
For more information, please contact
Dr. Angelos Amditis
interACT Dissemination Manager
Ιnstitute of Communication and Computer Systems (ICCS) Research Director
email: a.amditis@iccs.gr
Consortium
Duration:
41 months
(1st
May 2017 – 30th
Sep. 2020)
Funding
Authority:
European Commission
Program: Horizon 2020
Budgeted: 5,527,581.25€
Coordinator:
Deutsches Zentrum für Luft -
und Raumfahrt (DLR)