ImFlow optimises traffic flows based on configured policies, making
optimal use of the road infrastructure. The uniqueness of ImFlow is
its real-time adaptive algorithm that automatically translates policy
into optimal traffic flow. A set of policies represent a scenario. Within
a scenario each policy is assigned a level of importance allowing the
user to balance the importance of the traffic flows, priority vehicles,
pedestrians and cyclists within the network. ImFlow supports multicriteria
optimisation at area, route and intersection levels and
allows policies to be defined for each level. ImFlow is an Intelligent
Transport System that can interact with a scenario manager or
strategy supervisor by means of scenarios. Where applicable the
strategy supervisor can change the level of importance of individual
policies providing even finer control over the traffic flows. ImFlow
is highly flexible and scalable providing one solution from a single
intersection to a large city network. As such, ImFlow is the tool to
coordinate the traffic lights in a smart and sustainable city.
Managed motorways use technology like variable speed limits and dynamic hard shoulder running to increase road capacity and reduce congestion without building new lanes. The UK Highways Agency proposes further expanding this approach through "all lanes running" managed motorways, which permanently eliminate hard shoulders in favor of an additional traffic lane. This could significantly reduce costs but raises safety concerns from removing emergency refuge areas and lighting, making breakdowns and incidents more dangerous to respond to. The future of these proposals remains uncertain as motoring organizations have expressed concerns.
Telecommunication Engineering is an engineering discipline centered on electrical and computer engineering which seeks to support and enhance telecommunication systems.The work ranges from basic circuit design to strategic mass developments.
Aria Etemad, Ford, euroFOT: European large-scale Field Operational Test on Ac...euroFOT
The euroFOT project conducted large-scale field tests of intelligent vehicle systems with ordinary drivers on public roads to investigate driver behavior, system performance, and impacts on safety, efficiency and the environment. Multiple vehicle fleets across Europe collected extensive real-world driving data using harmonized methods. The results from analyzing over 18.5 million kilometers of driving data aim to improve intelligent vehicles and inform decisions about deploying these systems.
Prioritize network traffic and increase network QoS with CyBlock Bandwidth Ma...Wavecrest Computing
In the current Internet-connected enterprise, constant and rapid changes require IT to have proactive control over the organization’s bandwidth. Many organizations now allow the use of tools such as DropBox, social media, and streaming, as well as BYOD use for, and during, business operations. The idea is to use these tools for business productivity. But then combine this with any personal use of these tools, or other services, and you have a bandwidth drain on the company network. For an IT administrator, this holds many more challenges in how to make sure priorities are set for bandwidth. With CyBlock’s Bandwidth Management feature, we can help you battle bandwidth hogs, improving your network QoS and keeping your mission-critical operations running smoothly!
The document discusses sustainable transport and provides definitions and examples. It describes sustainable transport as including vehicles, energy, infrastructure and operations that have positive environmental, social and economic impacts. Key aspects mentioned include electric vehicles, public transit, non-motorized transport, integrated planning and pricing strategies to manage demand. Examples highlighted include award-winning systems in Mexico City, Guangzhou and Germany that have strong public transit, biking and traffic calming.
This presentation was displayed at MWC 2011 covering the following topics: Traffic Management, Internet Offload Gateway, DPI, Adaptive Traffic Shaping, and Policy Enforcement.
Maxis was established in 1995 and provides communication services like voice calls, messaging, and mobile internet. As a service company, Maxis faces challenges like intangibility, heterogeneity, and perishability. To manage demand and capacity, Maxis encourages self-service during peaks, uses pricing strategies, and upgrades infrastructure. When promoting its Hotlink Campus package, Maxis targets university students through TV, celebrities, and social media near colleges. Maxis innovates through e-billing, network upgrades, insurance products, and health applications to increase customer satisfaction and meet new needs.
Television advertising is an effective media for reaching large audiences at low cost per exposure. It allows targeting specific audiences and has high impact due to its visual and audio components. While television receives 23.4% of total US ad spending, newspapers receive a comparable 21.5% as they are also effective in reaching wide audiences. The document discusses advantages of television advertising and advertising expenditure breakdown across different media in the US.
Managed motorways use technology like variable speed limits and dynamic hard shoulder running to increase road capacity and reduce congestion without building new lanes. The UK Highways Agency proposes further expanding this approach through "all lanes running" managed motorways, which permanently eliminate hard shoulders in favor of an additional traffic lane. This could significantly reduce costs but raises safety concerns from removing emergency refuge areas and lighting, making breakdowns and incidents more dangerous to respond to. The future of these proposals remains uncertain as motoring organizations have expressed concerns.
Telecommunication Engineering is an engineering discipline centered on electrical and computer engineering which seeks to support and enhance telecommunication systems.The work ranges from basic circuit design to strategic mass developments.
Aria Etemad, Ford, euroFOT: European large-scale Field Operational Test on Ac...euroFOT
The euroFOT project conducted large-scale field tests of intelligent vehicle systems with ordinary drivers on public roads to investigate driver behavior, system performance, and impacts on safety, efficiency and the environment. Multiple vehicle fleets across Europe collected extensive real-world driving data using harmonized methods. The results from analyzing over 18.5 million kilometers of driving data aim to improve intelligent vehicles and inform decisions about deploying these systems.
Prioritize network traffic and increase network QoS with CyBlock Bandwidth Ma...Wavecrest Computing
In the current Internet-connected enterprise, constant and rapid changes require IT to have proactive control over the organization’s bandwidth. Many organizations now allow the use of tools such as DropBox, social media, and streaming, as well as BYOD use for, and during, business operations. The idea is to use these tools for business productivity. But then combine this with any personal use of these tools, or other services, and you have a bandwidth drain on the company network. For an IT administrator, this holds many more challenges in how to make sure priorities are set for bandwidth. With CyBlock’s Bandwidth Management feature, we can help you battle bandwidth hogs, improving your network QoS and keeping your mission-critical operations running smoothly!
The document discusses sustainable transport and provides definitions and examples. It describes sustainable transport as including vehicles, energy, infrastructure and operations that have positive environmental, social and economic impacts. Key aspects mentioned include electric vehicles, public transit, non-motorized transport, integrated planning and pricing strategies to manage demand. Examples highlighted include award-winning systems in Mexico City, Guangzhou and Germany that have strong public transit, biking and traffic calming.
This presentation was displayed at MWC 2011 covering the following topics: Traffic Management, Internet Offload Gateway, DPI, Adaptive Traffic Shaping, and Policy Enforcement.
Maxis was established in 1995 and provides communication services like voice calls, messaging, and mobile internet. As a service company, Maxis faces challenges like intangibility, heterogeneity, and perishability. To manage demand and capacity, Maxis encourages self-service during peaks, uses pricing strategies, and upgrades infrastructure. When promoting its Hotlink Campus package, Maxis targets university students through TV, celebrities, and social media near colleges. Maxis innovates through e-billing, network upgrades, insurance products, and health applications to increase customer satisfaction and meet new needs.
Television advertising is an effective media for reaching large audiences at low cost per exposure. It allows targeting specific audiences and has high impact due to its visual and audio components. While television receives 23.4% of total US ad spending, newspapers receive a comparable 21.5% as they are also effective in reaching wide audiences. The document discusses advantages of television advertising and advertising expenditure breakdown across different media in the US.
ImFlow optimises traffic flows based on configured policies, making optimal use of the road infrastructure. The uniqueness of ImFlow is its real-time adaptive algorithm that automatically translates policy into optimal traffic flow. A set of policies represent a scenario. Within a scenario each policy is assigned a level of importance allowing the user to balance the importance of the traffic flows, priority vehicles, pedestrians and cyclists within the network.
A Brief review to the intelligent controllerswhich used to control trafficflowjournal ijrtem
Abstract: Nowadays, with the social progress and economic development, the transport is playing a pivotal role in cities. The main problem is the traffic jams due to vehicle congestion phenomena at intersection. To solve this problem an intelligent traffic control system that continuously sensing and monitoring traffic conditions and adjusting the timing of traffic lights according to the actual traffic load must be implemented. At present , a variety of traffic control has been designed using electrical technologies.Traffic load is highly dependent on parameters such as day-time , season weather and unpredictable situationssuch as accidents, special events or construction activities, these parameters will cause delay on the traffic flow. The traffic system in Libya is still controlled by old fashion ( i.e equally time interval signal control)and no intelligent system used to monitor and control the traffic flow. The scope of this paper is to review the main Intelligent controllerswhich used in smart traffic systems. Keywords: Traffic, Intelligent control, Programmable logic, Neural network, Fuzzy logic
Intelligent Transportation Systems (ITS) is the application of computer, electronics, and communication technologies and management strategies in an integrated manner to provide traveler information to increase the safety and efficiency of the road transportation systems.
Traffic signal control systems coordinate individual traffic signals to optimize traffic flow across a network. They consist of intersection traffic signals, a communications network to connect them, and a central computer that manages the system. Coordination can be achieved through time-based or interconnected methods. Modern systems provide traffic monitoring capabilities and more advanced control algorithms. Signal coordination requires data sharing agreements between jurisdictions. Traffic signal control systems aim to provide favorable traffic flow for motorists.
In many countries, cities are expanding in terms of size, number residents and visitors, etc. The resulting increase in concentration of people, with their mobility needs, causes major traffic and transportation problems in and around our cities. Next to the economic impacts due to delay and unreliability of travel time, concerns regarding safety and security, emissions and sustainability become more and more urgent.
ITS (Intelligent Transportation Systems) hold the potential to reduce these issues. In the past decade, we have been more and more successful in making better use of the available infrastructure by using traditional ITS measures. As we will show in this talk, key to this success has been in achieving a profound understanding of what are the key phenomena that characterise network traffic flows, and designing solutions that capitalise on this.
The playing field is however rapidly changing. For one, we see a transition from road-side to in-car technology in terms of sensing and actuation. This provides great opportunities, but making best use of these is not trivial and requires a paradigm shift in the way we think about managing traffic flows where collaboration between the old stakeholders (e.g. road authorities) and the new stakeholders (e.g. companies like Google, and TomTom) becomes increasingly important. This will be illustrated in this talk by some examples showing how we can put the transition to in-car traffic management to use, both in terms of making optimal use of the new data sources and the use of the car as an actuator.
With respect to the latter, we will see that even for low penetration levels, which will occur in the transition phase towards a more highly automated traffic stream, considerable impacts can be achieved if we adequately consider the non-automated vehicles. Furthermore, it requires vehicles to be able to communicate and cooperate with each other.
These two elements are two of the five steps that was identified in the transition towards a fully automated system.
The final part of the talk will deal with the other steps that are deemed important to understand which of the scenarios in a urban self-driving future will unfold. These pertain to the interaction between man and machine, the need and willingness to invest in separate infrastructure in city, and whether automated car can co-exist with other (active) travel modes. With respect to the latter, we will also consider what ITS can mean for the other modes of travel.
The CoCar project aims to test the suitability of cellular communication technologies for transmitting time-critical traffic data between vehicles and infrastructure to improve traffic management and driver safety. The project will develop prototypes and test applications in areas like local hazard warnings, traffic incident detection, and advanced driver assistance using cellular networks. Partners from telecommunications and automotive industries will identify which applications are suitable for cellular communication and develop prototypes to test vehicle-to-vehicle and vehicle-to-infrastructure communication using current and future cellular standards, with the goal of enabling precice, timely transmission of traffic information.
The CoCar project aims to test the suitability of cellular communication technologies for transmitting time-critical traffic data between vehicles and infrastructure to improve traffic management and driver safety. The project will develop prototypes and test applications in areas like local hazard warnings, traffic incident detection, and advanced driver assistance using cellular networks. Partners from telecommunications and automotive industries will identify which applications are suitable for cellular communication and develop prototypes to test vehicle-to-vehicle and vehicle-to-infrastructure communication using current and future cellular standards, with the goal of enabling precision transmission of real-time traffic information.
Lan based intelligent traffic light system with emergency service identificationIjrdt Journal
In this paper we implemented a traffic lights control system using LAN technology which has the capability of mimicking human intelligence for controlling traffic lights. It aims to do analysis, design, develop and deploy monitoring and information system jointly with the help of state of the art traffic equipment, to enable the safe and efficient and effective movement of traffic for all road users. In this work we implemented the first based on LAN networking. The aim of this paper is to design and implement the network based car traffic control system. This system mainly comprises of signalized junctions and central computer (sever) that is connected to every traffic signal junction (clients). Its main task is to adjust, in real times, signal timings in response to variation in traffic demand and system capacity. Real time data from traffic controls are collected and transported to a central computer (server) for analysis. The results of this work are reduction in normal recurring, significantly enhanced operational tools congestion to effectively manage traffic incidents, reduced pollution, faster response to reports of faults, improved public transport service, reduction in emergency response times and safer travel and less congestion during road works.
ERTMS Fact Sheet 13 - ERTMS from the drivers’ point of viewUNIFE2012
During a train journey, drivers have to reconcile two objectives which may somehow seem opposed: maintaining complete safety whilst ensuring full operational performance and respecting timetables. By providing a specific cab signalling display, ERTMS helps drivers in their day-to-day operations. Thanks to the feature of continuous speed supervision, the driver receives full data about the maximum speed profile according to the track topology at each time.
Source: http://www.ertms.net/ertms/ertms-in-brief.aspx
Traffic demand management aims to reduce single-occupancy vehicle travel and redistribute travel demand. Managing traffic demand at junctions is important to reduce accidents, pollution, wasted time and money, and improve public transportation options. Several methods can be used for traffic demand management at junctions, including traffic surveys, educating the public, enforcing traffic laws, improving junction infrastructure with signs, flyovers, traffic lights, and pedestrian crossings, implementing bicycle infrastructure, congestion pricing, active traffic management, and integrated demand management. Case studies demonstrate how these strategies can be applied using existing traffic control systems.
1.08 European Traffic Management Approaches-Ello Weits-Emmanuel Houriez NREllo Weits
Many European countries are launching ambitious programs for Traffic Management Systems (TMS) with decision support for rail traffic optimisation at regional and national levels. Such programs aim to improve on-time performance, quality of service and return on investment by comprising forecasting, conflict detection, conflict resolution and driver guidance. While automation allows for improved efficiency, safety considerations must be addressed as TMSs take on an increased role in actively managing traffic.
ITS - Intelligent Transport System - An OverviewTheerumalai Ga
A brief overview on the developing trends of Transportation Engineering. Intelligent Transport system uses TECHNOLOGY and existing INFRASTRUCTURAL facilities to provide maximum utility of transport facilities Sincere thanks to FABER MAUNSELL for the material reference and AECOM.COM
Active Traffic Management (ATM) is a congestion management approach that utilizes strategies like ramp metering, HOV lanes, and incident detection in a coordinated way to optimize traffic flow. ATM relies on automated systems to dynamically implement strategies in response to changing traffic conditions. Some strategies used in ATM include speed harmonization, dynamic HOV lanes, junction control, and temporary shoulder use. Studies show that ATM can increase traffic throughput, reduce collisions, improve reliability, and delay the onset of congestion.
IRJET- Detailed Survey & Analysis of a Traffic System on Mid Block Sectio...IRJET Journal
This document summarizes a study on analyzing traffic flow on mid-block sections and intersections in Khargone city, India. The study aims to understand vehicle-pedestrian interactions through field observations of multiple intersections and mid-block crossings. Different locations within the city were selected to see if pedestrian flow fundamentals diagrams varied between places. Manual counts and surveys were conducted using tally sheets. Automatic counts were also collected using pneumatic tubes and inductive loops embedded in the road. The study found the pedestrian fundamental diagrams did vary between different locations in Khargone city.
This document summarizes a seminar on intelligent infrastructure and traffic systems. It discusses how traffic technology and applications will become more independent and use cloud data to make traffic control smarter. This will support individual road users like cyclists and pedestrians through apps and connectivity. Cooperative communication will give priority to vehicles like heavy vehicles, public transport, and emergency vehicles. Traffic management will expand to include other public space factors. Intelligent infrastructure relies on individual vehicle data to enhance traffic monitoring, network optimization, and control. Examples of cooperative intelligent transport system projects in locations like the UK, Netherlands, Finland, and Copenhagen were provided.
Integrating Machine Learning and Traffic Simulation for Enhanced Traffic Mana...IRJET Journal
This document presents a research study that integrates machine learning and traffic simulation to optimize traffic management. The study develops a traffic simulator using Pygame library that generates vehicles in four lanes. Machine learning models analyze vehicle distribution and predict traffic patterns to intelligently adjust signal timings. This reduces congestion and improves traffic flow by prioritizing lanes with higher vehicle density. The study shows the proposed approach is effective in optimizing traffic flow compared to fixed signal timings.
IRJET- Capacity and Level of Service for Highways Segments in NigeriaIRJET Journal
This document discusses highway capacity and levels of service for highways in Nigeria. It begins by defining key terms like capacity, level of service, and service volume. Capacity is the maximum hourly flow rate a highway can accommodate under prevailing conditions, while level of service is a qualitative measure of traffic flow conditions ranging from A to F. The document then discusses factors that influence highway capacity like roadway characteristics, traffic conditions, and traffic control. It also explains the six levels of service and how they relate to traffic flow speed, density, and a driver's freedom of maneuvering. The goal is to help engineers evaluate highway performance and identify locations that may need improvements.
A Tech-driven Engineering Case on the Current Trends in the Transportation Domain as well as some of the State-of-the-art Principles that can be applied to enhance the Current Transportation System.
This document discusses transit planning and urbanization. It covers several key topics:
1. It introduces different types of transit modes defined by their right-of-way, technologies, and operations. There are three categories of right-of-way: grade-separated, longitudinally separated from traffic but subject to controls, and operating in mixed traffic.
2. It discusses factors that influence urbanization, such as natural population increase, rural-to-urban migration, and international migration. Urbanization increases mobility demands in cities.
3. Spatial patterns in urban areas include centralization, with activities focused in a center, and clustering, with concentrations around transport hubs and smaller absorbed towns.
The document discusses approaches to managing mobility through integrated corridor management (ICM) and active traffic management (ATM). ICM aims to maximize total person throughput in a corridor by providing integrated travel options across modes. ATM uses technologies like variable speed limits and lane controls to reduce congestion. When combined in a corridor, ICM and ATM strategies like real-time traveler information, traffic signal priority for transit, and parking guidance can encourage alternative transportation usage.
1) Peek has developed an end-to-end cooperative ITS platform that uses standardized 802.11p communication to allow vehicles and roadside equipment to communicate.
2) The platform supports priority services for logistics, emergency services, and public transport through conditional priority at intersections and continuous driver feedback.
3) The platform is future proof through its support of multiple applications running simultaneously and interoperability ensured by ETSI standards compliance. It provides benefits like improved safety, reduced emissions and travel times.
City and countryside tunnels preserve unique locations and minimise travel time by avoiding intersections with other infrastructure. Nevertheless, to guarantee a smooth and safe traffic flow through tunnels, many requirements have to be met. Technology plays an essential role in this.
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Similar to Brochure Imflow Adaptive Signal Control
ImFlow optimises traffic flows based on configured policies, making optimal use of the road infrastructure. The uniqueness of ImFlow is its real-time adaptive algorithm that automatically translates policy into optimal traffic flow. A set of policies represent a scenario. Within a scenario each policy is assigned a level of importance allowing the user to balance the importance of the traffic flows, priority vehicles, pedestrians and cyclists within the network.
A Brief review to the intelligent controllerswhich used to control trafficflowjournal ijrtem
Abstract: Nowadays, with the social progress and economic development, the transport is playing a pivotal role in cities. The main problem is the traffic jams due to vehicle congestion phenomena at intersection. To solve this problem an intelligent traffic control system that continuously sensing and monitoring traffic conditions and adjusting the timing of traffic lights according to the actual traffic load must be implemented. At present , a variety of traffic control has been designed using electrical technologies.Traffic load is highly dependent on parameters such as day-time , season weather and unpredictable situationssuch as accidents, special events or construction activities, these parameters will cause delay on the traffic flow. The traffic system in Libya is still controlled by old fashion ( i.e equally time interval signal control)and no intelligent system used to monitor and control the traffic flow. The scope of this paper is to review the main Intelligent controllerswhich used in smart traffic systems. Keywords: Traffic, Intelligent control, Programmable logic, Neural network, Fuzzy logic
Intelligent Transportation Systems (ITS) is the application of computer, electronics, and communication technologies and management strategies in an integrated manner to provide traveler information to increase the safety and efficiency of the road transportation systems.
Traffic signal control systems coordinate individual traffic signals to optimize traffic flow across a network. They consist of intersection traffic signals, a communications network to connect them, and a central computer that manages the system. Coordination can be achieved through time-based or interconnected methods. Modern systems provide traffic monitoring capabilities and more advanced control algorithms. Signal coordination requires data sharing agreements between jurisdictions. Traffic signal control systems aim to provide favorable traffic flow for motorists.
In many countries, cities are expanding in terms of size, number residents and visitors, etc. The resulting increase in concentration of people, with their mobility needs, causes major traffic and transportation problems in and around our cities. Next to the economic impacts due to delay and unreliability of travel time, concerns regarding safety and security, emissions and sustainability become more and more urgent.
ITS (Intelligent Transportation Systems) hold the potential to reduce these issues. In the past decade, we have been more and more successful in making better use of the available infrastructure by using traditional ITS measures. As we will show in this talk, key to this success has been in achieving a profound understanding of what are the key phenomena that characterise network traffic flows, and designing solutions that capitalise on this.
The playing field is however rapidly changing. For one, we see a transition from road-side to in-car technology in terms of sensing and actuation. This provides great opportunities, but making best use of these is not trivial and requires a paradigm shift in the way we think about managing traffic flows where collaboration between the old stakeholders (e.g. road authorities) and the new stakeholders (e.g. companies like Google, and TomTom) becomes increasingly important. This will be illustrated in this talk by some examples showing how we can put the transition to in-car traffic management to use, both in terms of making optimal use of the new data sources and the use of the car as an actuator.
With respect to the latter, we will see that even for low penetration levels, which will occur in the transition phase towards a more highly automated traffic stream, considerable impacts can be achieved if we adequately consider the non-automated vehicles. Furthermore, it requires vehicles to be able to communicate and cooperate with each other.
These two elements are two of the five steps that was identified in the transition towards a fully automated system.
The final part of the talk will deal with the other steps that are deemed important to understand which of the scenarios in a urban self-driving future will unfold. These pertain to the interaction between man and machine, the need and willingness to invest in separate infrastructure in city, and whether automated car can co-exist with other (active) travel modes. With respect to the latter, we will also consider what ITS can mean for the other modes of travel.
The CoCar project aims to test the suitability of cellular communication technologies for transmitting time-critical traffic data between vehicles and infrastructure to improve traffic management and driver safety. The project will develop prototypes and test applications in areas like local hazard warnings, traffic incident detection, and advanced driver assistance using cellular networks. Partners from telecommunications and automotive industries will identify which applications are suitable for cellular communication and develop prototypes to test vehicle-to-vehicle and vehicle-to-infrastructure communication using current and future cellular standards, with the goal of enabling precice, timely transmission of traffic information.
The CoCar project aims to test the suitability of cellular communication technologies for transmitting time-critical traffic data between vehicles and infrastructure to improve traffic management and driver safety. The project will develop prototypes and test applications in areas like local hazard warnings, traffic incident detection, and advanced driver assistance using cellular networks. Partners from telecommunications and automotive industries will identify which applications are suitable for cellular communication and develop prototypes to test vehicle-to-vehicle and vehicle-to-infrastructure communication using current and future cellular standards, with the goal of enabling precision transmission of real-time traffic information.
Lan based intelligent traffic light system with emergency service identificationIjrdt Journal
In this paper we implemented a traffic lights control system using LAN technology which has the capability of mimicking human intelligence for controlling traffic lights. It aims to do analysis, design, develop and deploy monitoring and information system jointly with the help of state of the art traffic equipment, to enable the safe and efficient and effective movement of traffic for all road users. In this work we implemented the first based on LAN networking. The aim of this paper is to design and implement the network based car traffic control system. This system mainly comprises of signalized junctions and central computer (sever) that is connected to every traffic signal junction (clients). Its main task is to adjust, in real times, signal timings in response to variation in traffic demand and system capacity. Real time data from traffic controls are collected and transported to a central computer (server) for analysis. The results of this work are reduction in normal recurring, significantly enhanced operational tools congestion to effectively manage traffic incidents, reduced pollution, faster response to reports of faults, improved public transport service, reduction in emergency response times and safer travel and less congestion during road works.
ERTMS Fact Sheet 13 - ERTMS from the drivers’ point of viewUNIFE2012
During a train journey, drivers have to reconcile two objectives which may somehow seem opposed: maintaining complete safety whilst ensuring full operational performance and respecting timetables. By providing a specific cab signalling display, ERTMS helps drivers in their day-to-day operations. Thanks to the feature of continuous speed supervision, the driver receives full data about the maximum speed profile according to the track topology at each time.
Source: http://www.ertms.net/ertms/ertms-in-brief.aspx
Traffic demand management aims to reduce single-occupancy vehicle travel and redistribute travel demand. Managing traffic demand at junctions is important to reduce accidents, pollution, wasted time and money, and improve public transportation options. Several methods can be used for traffic demand management at junctions, including traffic surveys, educating the public, enforcing traffic laws, improving junction infrastructure with signs, flyovers, traffic lights, and pedestrian crossings, implementing bicycle infrastructure, congestion pricing, active traffic management, and integrated demand management. Case studies demonstrate how these strategies can be applied using existing traffic control systems.
1.08 European Traffic Management Approaches-Ello Weits-Emmanuel Houriez NREllo Weits
Many European countries are launching ambitious programs for Traffic Management Systems (TMS) with decision support for rail traffic optimisation at regional and national levels. Such programs aim to improve on-time performance, quality of service and return on investment by comprising forecasting, conflict detection, conflict resolution and driver guidance. While automation allows for improved efficiency, safety considerations must be addressed as TMSs take on an increased role in actively managing traffic.
ITS - Intelligent Transport System - An OverviewTheerumalai Ga
A brief overview on the developing trends of Transportation Engineering. Intelligent Transport system uses TECHNOLOGY and existing INFRASTRUCTURAL facilities to provide maximum utility of transport facilities Sincere thanks to FABER MAUNSELL for the material reference and AECOM.COM
Active Traffic Management (ATM) is a congestion management approach that utilizes strategies like ramp metering, HOV lanes, and incident detection in a coordinated way to optimize traffic flow. ATM relies on automated systems to dynamically implement strategies in response to changing traffic conditions. Some strategies used in ATM include speed harmonization, dynamic HOV lanes, junction control, and temporary shoulder use. Studies show that ATM can increase traffic throughput, reduce collisions, improve reliability, and delay the onset of congestion.
IRJET- Detailed Survey & Analysis of a Traffic System on Mid Block Sectio...IRJET Journal
This document summarizes a study on analyzing traffic flow on mid-block sections and intersections in Khargone city, India. The study aims to understand vehicle-pedestrian interactions through field observations of multiple intersections and mid-block crossings. Different locations within the city were selected to see if pedestrian flow fundamentals diagrams varied between places. Manual counts and surveys were conducted using tally sheets. Automatic counts were also collected using pneumatic tubes and inductive loops embedded in the road. The study found the pedestrian fundamental diagrams did vary between different locations in Khargone city.
This document summarizes a seminar on intelligent infrastructure and traffic systems. It discusses how traffic technology and applications will become more independent and use cloud data to make traffic control smarter. This will support individual road users like cyclists and pedestrians through apps and connectivity. Cooperative communication will give priority to vehicles like heavy vehicles, public transport, and emergency vehicles. Traffic management will expand to include other public space factors. Intelligent infrastructure relies on individual vehicle data to enhance traffic monitoring, network optimization, and control. Examples of cooperative intelligent transport system projects in locations like the UK, Netherlands, Finland, and Copenhagen were provided.
Integrating Machine Learning and Traffic Simulation for Enhanced Traffic Mana...IRJET Journal
This document presents a research study that integrates machine learning and traffic simulation to optimize traffic management. The study develops a traffic simulator using Pygame library that generates vehicles in four lanes. Machine learning models analyze vehicle distribution and predict traffic patterns to intelligently adjust signal timings. This reduces congestion and improves traffic flow by prioritizing lanes with higher vehicle density. The study shows the proposed approach is effective in optimizing traffic flow compared to fixed signal timings.
IRJET- Capacity and Level of Service for Highways Segments in NigeriaIRJET Journal
This document discusses highway capacity and levels of service for highways in Nigeria. It begins by defining key terms like capacity, level of service, and service volume. Capacity is the maximum hourly flow rate a highway can accommodate under prevailing conditions, while level of service is a qualitative measure of traffic flow conditions ranging from A to F. The document then discusses factors that influence highway capacity like roadway characteristics, traffic conditions, and traffic control. It also explains the six levels of service and how they relate to traffic flow speed, density, and a driver's freedom of maneuvering. The goal is to help engineers evaluate highway performance and identify locations that may need improvements.
A Tech-driven Engineering Case on the Current Trends in the Transportation Domain as well as some of the State-of-the-art Principles that can be applied to enhance the Current Transportation System.
This document discusses transit planning and urbanization. It covers several key topics:
1. It introduces different types of transit modes defined by their right-of-way, technologies, and operations. There are three categories of right-of-way: grade-separated, longitudinally separated from traffic but subject to controls, and operating in mixed traffic.
2. It discusses factors that influence urbanization, such as natural population increase, rural-to-urban migration, and international migration. Urbanization increases mobility demands in cities.
3. Spatial patterns in urban areas include centralization, with activities focused in a center, and clustering, with concentrations around transport hubs and smaller absorbed towns.
The document discusses approaches to managing mobility through integrated corridor management (ICM) and active traffic management (ATM). ICM aims to maximize total person throughput in a corridor by providing integrated travel options across modes. ATM uses technologies like variable speed limits and lane controls to reduce congestion. When combined in a corridor, ICM and ATM strategies like real-time traveler information, traffic signal priority for transit, and parking guidance can encourage alternative transportation usage.
Similar to Brochure Imflow Adaptive Signal Control (20)
1) Peek has developed an end-to-end cooperative ITS platform that uses standardized 802.11p communication to allow vehicles and roadside equipment to communicate.
2) The platform supports priority services for logistics, emergency services, and public transport through conditional priority at intersections and continuous driver feedback.
3) The platform is future proof through its support of multiple applications running simultaneously and interoperability ensured by ETSI standards compliance. It provides benefits like improved safety, reduced emissions and travel times.
City and countryside tunnels preserve unique locations and minimise travel time by avoiding intersections with other infrastructure. Nevertheless, to guarantee a smooth and safe traffic flow through tunnels, many requirements have to be met. Technology plays an essential role in this.
Smooth traffic flow for trams and buses is an essential requirement for everyone. For passengers, who prefer minimal waiting times and other delays. For transport companies looking to offer optimal service and efficient operations. VECOM® technology can be a key tool in achieving this.
VECOM® is an inductive communication system at the basis
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Peek developed a state-of-the-art traffic signal head that fulfills the requirements of our international customers combining the latest technology with aesthetics and
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Maximising the availability of a city’s on-street assets leads to optimum efficiency, minimised environmental Impact and lower operating costs. Understanding the status of the assets is a key step and when equipment fails, you need to know quickly and be able to respond to the impact of the failure. Sometimes this may necessitate taking overriding control of other assets to mitigate the impacts of a failure. Occasionally you may want to take control to bring about a particular temporary situation. The Peek RMS enables you to do all of this with one, easy to use, secure, integrated solution.
The Peek EuroController EC-2® is a state-of-the-art traffic
controller, rooted in a long tradition of innovation and
robustness. On the one hand it has an innovative design
which integrates a flexible software architecture on a high
power processor with extensive open connectivity. On
the other hand it has a safety architecture that complies
with European and local directives and electronics that is
durable, robust and easy to maintain.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
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Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Presentation of the OECD Artificial Intelligence Review of Germany
Brochure Imflow Adaptive Signal Control
1. ImFlow:
Policy Based
Traffic
Management
Imtech Traffic & Infra - Head Office
Basicweg 16
NL-3821 BR Amersfoort
P.O. Box 2542
NL-3800 GB Amersfoort
The Netherlands
Tel. +31 33 454 17 77
Fax +31 33 454 17 40
www.imtech.eu/traffic-infra
The total solution provider www.imtech.eu/traffic-infra
2. ImFlow improves Flow, Safety & Environment ImFlow Technical Specification
■ mFlow reduces traffic congestion by accurately matching signal controller
I The table gives a summary of the ImFlow functions and capabilities.
operation to prevailing traffic conditions.
■ mFlow improves specific routes by prioritising the traffic flows.
I Modes of operation ■ Real-time adaptive control.
■ mFlow reduces the waiting time for pedestrians and cyclists.
I ■ System Activated Plan Selection (SAPS).
In control of your traffic flows. ■ mFlow improves public transport by minimising the delay and stops and
I ■ Fixed time control.
assists in the adherence to schedule (i.e. uniform arrival at passenger ■ Local control.
stops). Configuration and ■ The ImFlow configurator is fully integrated with a micro simulation environment to enable the
The smart and sustainable city ■ mFlow can inform pedestrians and cyclists about the remaining waiting
I testing traffic engineer to effectively configure and test an ImFlow system.
time, reducing red light negation. Multi criteria ■ Vehicles.
ImFlow will change the way we manage traffic. Effective and ■ mFlow can give conditional priority to vehicles equipped with co-operative
I optimisation ■ Pedestrians and cyclists.
environmentally transportation is the key to a city or region’s technology, promoting schemes like eco-driving for heavy trucks. ■ Public Transport vehicles.
economy and environment, making it a better place to live and ■ mFlow reduces traffic accidents resulting from impatient driving by
I ■ Priority vehicles (e.g. Eco driving trucks, emergency vehicles).
work. The city’s long-term strategy drives the policies, programs, making traffic flows smoother. Multi-level ■ The ‘network optimiser’ optimises the signal timings based on the provided policies and within the
design criteria, and projects that will further enhance the city ■ mFlow provides emergency vehicles with a quick and safe passage
I optimisation configured constraints. The ‘intersection optimiser’ further optimises individual controller timings
or region’s mobility. Through this plan the city will make its through the network providing absolute priority where applicable. using logic rules.
transportation system more environmentally, economically, and ■ mFlow saves energy by making traffic flows smoother, minimising stops
I Public Transport ■ User policies and performance indicators used to manage a PT-route.
socially sustainable. Transport planners and traffic engineers require and reducing travel time to destinations, thus allowing savings on fuel. (PT) priority ■ Modelling of the behaviour of PT-vehicles on PT-routes.
tools to implement the policies defined in the plan and to keep the ■ mFlow reduces traffic pollution (noise and emissions) by reducing the
I ■ Prediction of the arrival/departure at signalized intersections and passenger stops.
Intelligent Transport Systems up-to-date when demands or policies number of times vehicles have to stop. ■ Extensive recording of the journey of PT-vehicles.
are changing. Trade-offs are needed to make optimal use of the ■ y moving unavoidable congestion to another part of the road network
B ■ lexible detection concept (e.g. traffic light controller inputs, centre-to-centre interface).
F
available road infrastructure, traffic flows need to be identified and ImFlow can influence and optimise the location and the severity of traffic Hurry calls ■ Absolute priority for emergency vehicles.
prioritised and decisions made about the amount of traffic allowed pollution. By spreading the pollution ImFlow reduces the effect of traffic ■ VIP routes.
onto the network to reduce congestion during peak hours and to pollution on the urban environment. User interface ■ Multilingual web based user interface.
maximise the effectiveness of public transport. ImFlow is this tool Communication ■ ImFlow is fully based on internet technology.
for urban traffic management enabling the city's action plan to be ■ Support for both wired and wireless IP networks.
effectively implemented. From policy to flow
ImFlow offers a unique programming concept based on policies
Policy based Urban Traffic Management and constraints. The policies and constraints can be directly entered
into the ImFlow system and are used by the ImFlow adaptive
ImFlow optimises traffic flows based on configured policies, making algorithm to optimise the signal timings in real-time. The policies
optimal use of the road infrastructure. The uniqueness of ImFlow is and constraints are easily understandable by traffic engineers
its real-time adaptive algorithm that automatically translates policy who need to setup and maintain an ImFlow system where policies
into optimal traffic flow. A set of policies represent a scenario. Within represent the optimisation objectives and the constraints are rules Imtech/Peek believes its products have to contribute to a liveable and sustainable society. Imflow ensures better
a scenario each policy is assigned a level of importance allowing the that must be obeyed in order for the system to function safely. For traffic flow and less fuel consumption and fits within our policy for corporate social responsibility.
user to balance the importance of the traffic flows, priority vehicles, example, by defining a policy for a route a traffic engineer can make
pedestrians and cyclists within the network. ImFlow supports multi- the traffic on the route more important than other traffic flows.
criteria optimisation at area, route and intersection levels and Based on this setting ImFlow will minimise stops and delays on the
allows policies to be defined for each level. ImFlow is an Intelligent route to implement the policy. ImFlow tracks all priority vehicles on
Transport System that can interact with a scenario manager or the network and predicts their arrival and departure at signalised
strategy supervisor by means of scenarios. Where applicable the intersections and Public Transport stops. A priority vehicle receives
strategy supervisor can change the level of importance of individual conditional priority based on the configured policies and the current
policies providing even finer control over the traffic flows. ImFlow status of the vehicle.
is highly flexible and scalable providing one solution from a single
intersection to a large city network. As such, ImFlow is the tool to
coordinate the traffic lights in a smart and sustainable city.