Based on a future vision of a multi-modal, end-to-end UK mobility system please describe your view of the role of Customer Experience in achieving this vision and where experience from other industry sectors can be used to add value
(New) Business models shaping future mobilityJosep Laborda
The "as a Service" paradigm coming to mobility, MaaS, insights on the market and drivers for MaaS and some hints on factors that will drive MaaS, such as cooperation among stakeholders, electrification, autonomous driving and the sharing economy.
Applications of Artificial Intelligence in Transportation SystemsEITESAL NGO
Dr.Mohamed el Shenawy speech about applications of Artificial Intelligence in transportation systems
▪️Mentioning how can AI can change our future? And how Intelligent machines works starting with the Perception ➡️ Comprehension ➡️ Projection ➡️ Decision
▪️ AI graduation projects in Egyptian Universities
▪️ AI in self-driving cars
▪️AI in traffic management
#Artificial_Intelligence
#EiTESAL
Top read article in academia 2020 - International Journal of Information Tech...Zac Darcy
Web mediated crowd funding is a talented paradigm used by project launcher to solicit funds from backers
To realize projects. Kickstarter is one such largest funding platform for creative projects. However, not all
The campaigns in Kickstarter attain their funding goal and are successful. It is therefore important to know
about campaigns’ chances of success. As a broad goal, authors intended in extraction of the hidden knowledge from the Kickstarter campaign database and classification of these projects based on their dependency parameters. For this authors have designed a classification model for the analysis of Kickstarter campaigns by using direct information retrieved from Kickstarter URLs. This aids to identify the possibility of success of a campaign.
Based on a future vision of a multi-modal, end-to-end UK mobility system please describe your view of the role of Customer Experience in achieving this vision and where experience from other industry sectors can be used to add value
(New) Business models shaping future mobilityJosep Laborda
The "as a Service" paradigm coming to mobility, MaaS, insights on the market and drivers for MaaS and some hints on factors that will drive MaaS, such as cooperation among stakeholders, electrification, autonomous driving and the sharing economy.
Applications of Artificial Intelligence in Transportation SystemsEITESAL NGO
Dr.Mohamed el Shenawy speech about applications of Artificial Intelligence in transportation systems
▪️Mentioning how can AI can change our future? And how Intelligent machines works starting with the Perception ➡️ Comprehension ➡️ Projection ➡️ Decision
▪️ AI graduation projects in Egyptian Universities
▪️ AI in self-driving cars
▪️AI in traffic management
#Artificial_Intelligence
#EiTESAL
Top read article in academia 2020 - International Journal of Information Tech...Zac Darcy
Web mediated crowd funding is a talented paradigm used by project launcher to solicit funds from backers
To realize projects. Kickstarter is one such largest funding platform for creative projects. However, not all
The campaigns in Kickstarter attain their funding goal and are successful. It is therefore important to know
about campaigns’ chances of success. As a broad goal, authors intended in extraction of the hidden knowledge from the Kickstarter campaign database and classification of these projects based on their dependency parameters. For this authors have designed a classification model for the analysis of Kickstarter campaigns by using direct information retrieved from Kickstarter URLs. This aids to identify the possibility of success of a campaign.
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.
A Case Study of Artificial Intelligence is being used to Reshape BusinessAI Publications
AI is one of the emerging technologies with such a long record which is constantly changing and growing in the corporate world. We will explain the modern AI basics and various aspects, applications of AI, and its future in business throughout this paper. Many businesses benefit from AI technology by lowering operational expenses, improving efficiency, and expanding the customer base. AI is made up of a variety of tools that allow computers to process massive amounts of data using smart technologies such as machine learning and natural language processing. Many customers now value AI-powered everyday technologies such as credit card fraud detection, e-mail spam filters, and predictive traffic alerts. The field of artificial intelligence is shifting toward developing intelligent systems that can effectively collaborate with people, including innovative ways to develop interactive and scalable ways for people to teach robots. The Vehicle Integrated Artificial Intelligence System is the focus of this paper.
Review Paper on Intelligent Traffic Control system using Computer Vision for ...JANAK TRIVEDI
In today scenario city will try to modify in the form of smart city with better facilities in terms of education, social-economic life,
better transportation availability, noise free – Eco-friendly environment availability, and ICT- Information and communication technology
enabler for development in the city. In this paper, we are reviewing different work already done or draft by some research in the field of traffic
control system – for better monitoring, tracking and managing using a computer vision system. Nowadays, most of the city installed with
C.C.T.V. – camera for monitoring the traffic related activity.
Smart Road Technology for Traffic Management and ITS Infrastructure Assessmen...IJAEMSJORNAL
This technical work describe infrastructure requirement and the working principles and procedures involved in operation of a Smart Road. A Smart Road is similar to a conventional highway but the difference is, it is equipped with the electronic gadgets required to capture static and dynamic physical entities occupied on the road at a given time and location. Nowadays traffic safety and highway congestion has become a serious concern to the Authorities and required to be managed them within the available resources. Also it is not possible to increase the capacity of highway infrastructure to compete with increase in traffic. In cities on highway system, large amount of traffic data being generated and an integrated approach is required for the efficient management transportation system. Smart Road is an innovative approach wherein Information Communication Technologies (ICT) is merged with traditional infrastructure and integrated with digital technologies. Critical examination of literature review reveals that many technologies are available for data capturing and management. Notable among them are by using ultrasonic sensors, light sensors, motion sensors, camera and IOT devices. The data collected by the devices would be managed through cloud computing and big data analytic methods. To assess the current traffic situation spot speeds and traffic volumes are captured for peak and non-peak on the Express Highway and from the data captured 85th percentile speed and LoS are estimated. Smart road technology is discussed for transportation system management. And IT infrastructure requirement for capturing traffic related data demonstrated for the selected road in Muscat.
Monthly Newsletter that updates you with the latest happenings in WebXpress and its extended world.
WebXpress is an IT Solutions company offering software solutions for the domain of Logistics:
1. Transportation Management System
2. Fleet Management System
3. Warehouse Management System
4. E-Commerce Solution
WebXpress has a large customer base, to name a few, Linfox, Agility, Safexpress, ColdEX, Future Supply Chains, DTDC, Surat Goods Transport and many more.
If you want to know more about our company please visit http://www.webxpress.in/
Tutorial on AI-based Analytics in Traffic ManagementBiplav Srivastava
This is the tutorial on AI analytical techniques for traffic management presented at the IJCAI 2013 conference, Beijing, China presented by Biplav Srivastava and Akshat Kumar.
Vision-based real-time vehicle detection and vehicle speed measurement using ...JANAK TRIVEDI
In recent trends, digital information to the industrial integration for the intelligent transportation system (ITS)
field is gaining importance for the researcher, academia, and industrial persons. Visual information helps to
manage traffic systems in the industrial forum to build smart cities in developed countries. This paper presents
vision-based real-time vehicle detection and Vehicle Speed Measurement (VSM) using morphology operation and
binary logical process for an unplanned traffic scenario using image processing techniques. Vehicle detection and
VSM help to reduce the number of accidents and improve road network efficiency. The bounding box size for
vehicle detection is flexible according to vehicles’ sizes on the road. We test this system with different colors and
dimensions for a selected Region of Interest (ROI). The ROI sets using the two-line approach. Here, we compare
the proposed system with the inter-frame difference method and the blob analysis method with recall, precision,
and F1 performance parameters.
Traffic State Estimation and Prediction under Heterogeneous Traffic ConditionsIDES Editor
The recent economic growth in developing countries
like India has resulted in an intense increase of vehicle
ownership and use, as witnessed by severe traffic congestion
and bottlenecks during peak hours in most of the metropolitan
cities. Intelligent Transportation Systems (ITS) aim to reduce
traffic congestion by adopting various strategies such as
providing pre-trip and en-route traffic information thereby
reducing demand, adaptive signal control for area wide
optimization of traffic flow, etc. The successful deployment
and the reliability of these systems largely depend on the
accurate estimation of the current traffic state and quick and
reliable prediction to future time steps. At a macroscopic level,
this involves the prediction of fundamental traffic stream
parameters which include speed, density and flow in spacetime
domain. The complexity of prediction is enhanced by
heterogeneous traffic conditions as prevailing in India due to
less lane discipline and complex interactions among different
vehicle types. Also, there is no exclusive traffic flow model for
heterogeneous traffic conditions which can characterize the
traffic stream at a macroscopic level. Hence, the present study
tries to explore the applicability of an existing macroscopic
model, namely the Lighthill-Whitham-Richards (LWR) model,
for short term prediction of traffic flow in a busy arterial in
the city of Chennai, India, under heterogeneous traffic
conditions. Both linear and exponential speed-density
relations were considered and incorporated into the
macroscopic model. The resulting partial differential
equations are solved numerically and the results are found to
be encouraging. This model can ultimately be helpful for the
implementation of ATIS/ATMS applications under
heterogeneous traffic environment.
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.
A Case Study of Artificial Intelligence is being used to Reshape BusinessAI Publications
AI is one of the emerging technologies with such a long record which is constantly changing and growing in the corporate world. We will explain the modern AI basics and various aspects, applications of AI, and its future in business throughout this paper. Many businesses benefit from AI technology by lowering operational expenses, improving efficiency, and expanding the customer base. AI is made up of a variety of tools that allow computers to process massive amounts of data using smart technologies such as machine learning and natural language processing. Many customers now value AI-powered everyday technologies such as credit card fraud detection, e-mail spam filters, and predictive traffic alerts. The field of artificial intelligence is shifting toward developing intelligent systems that can effectively collaborate with people, including innovative ways to develop interactive and scalable ways for people to teach robots. The Vehicle Integrated Artificial Intelligence System is the focus of this paper.
Review Paper on Intelligent Traffic Control system using Computer Vision for ...JANAK TRIVEDI
In today scenario city will try to modify in the form of smart city with better facilities in terms of education, social-economic life,
better transportation availability, noise free – Eco-friendly environment availability, and ICT- Information and communication technology
enabler for development in the city. In this paper, we are reviewing different work already done or draft by some research in the field of traffic
control system – for better monitoring, tracking and managing using a computer vision system. Nowadays, most of the city installed with
C.C.T.V. – camera for monitoring the traffic related activity.
Smart Road Technology for Traffic Management and ITS Infrastructure Assessmen...IJAEMSJORNAL
This technical work describe infrastructure requirement and the working principles and procedures involved in operation of a Smart Road. A Smart Road is similar to a conventional highway but the difference is, it is equipped with the electronic gadgets required to capture static and dynamic physical entities occupied on the road at a given time and location. Nowadays traffic safety and highway congestion has become a serious concern to the Authorities and required to be managed them within the available resources. Also it is not possible to increase the capacity of highway infrastructure to compete with increase in traffic. In cities on highway system, large amount of traffic data being generated and an integrated approach is required for the efficient management transportation system. Smart Road is an innovative approach wherein Information Communication Technologies (ICT) is merged with traditional infrastructure and integrated with digital technologies. Critical examination of literature review reveals that many technologies are available for data capturing and management. Notable among them are by using ultrasonic sensors, light sensors, motion sensors, camera and IOT devices. The data collected by the devices would be managed through cloud computing and big data analytic methods. To assess the current traffic situation spot speeds and traffic volumes are captured for peak and non-peak on the Express Highway and from the data captured 85th percentile speed and LoS are estimated. Smart road technology is discussed for transportation system management. And IT infrastructure requirement for capturing traffic related data demonstrated for the selected road in Muscat.
Monthly Newsletter that updates you with the latest happenings in WebXpress and its extended world.
WebXpress is an IT Solutions company offering software solutions for the domain of Logistics:
1. Transportation Management System
2. Fleet Management System
3. Warehouse Management System
4. E-Commerce Solution
WebXpress has a large customer base, to name a few, Linfox, Agility, Safexpress, ColdEX, Future Supply Chains, DTDC, Surat Goods Transport and many more.
If you want to know more about our company please visit http://www.webxpress.in/
Tutorial on AI-based Analytics in Traffic ManagementBiplav Srivastava
This is the tutorial on AI analytical techniques for traffic management presented at the IJCAI 2013 conference, Beijing, China presented by Biplav Srivastava and Akshat Kumar.
Vision-based real-time vehicle detection and vehicle speed measurement using ...JANAK TRIVEDI
In recent trends, digital information to the industrial integration for the intelligent transportation system (ITS)
field is gaining importance for the researcher, academia, and industrial persons. Visual information helps to
manage traffic systems in the industrial forum to build smart cities in developed countries. This paper presents
vision-based real-time vehicle detection and Vehicle Speed Measurement (VSM) using morphology operation and
binary logical process for an unplanned traffic scenario using image processing techniques. Vehicle detection and
VSM help to reduce the number of accidents and improve road network efficiency. The bounding box size for
vehicle detection is flexible according to vehicles’ sizes on the road. We test this system with different colors and
dimensions for a selected Region of Interest (ROI). The ROI sets using the two-line approach. Here, we compare
the proposed system with the inter-frame difference method and the blob analysis method with recall, precision,
and F1 performance parameters.
Traffic State Estimation and Prediction under Heterogeneous Traffic ConditionsIDES Editor
The recent economic growth in developing countries
like India has resulted in an intense increase of vehicle
ownership and use, as witnessed by severe traffic congestion
and bottlenecks during peak hours in most of the metropolitan
cities. Intelligent Transportation Systems (ITS) aim to reduce
traffic congestion by adopting various strategies such as
providing pre-trip and en-route traffic information thereby
reducing demand, adaptive signal control for area wide
optimization of traffic flow, etc. The successful deployment
and the reliability of these systems largely depend on the
accurate estimation of the current traffic state and quick and
reliable prediction to future time steps. At a macroscopic level,
this involves the prediction of fundamental traffic stream
parameters which include speed, density and flow in spacetime
domain. The complexity of prediction is enhanced by
heterogeneous traffic conditions as prevailing in India due to
less lane discipline and complex interactions among different
vehicle types. Also, there is no exclusive traffic flow model for
heterogeneous traffic conditions which can characterize the
traffic stream at a macroscopic level. Hence, the present study
tries to explore the applicability of an existing macroscopic
model, namely the Lighthill-Whitham-Richards (LWR) model,
for short term prediction of traffic flow in a busy arterial in
the city of Chennai, India, under heterogeneous traffic
conditions. Both linear and exponential speed-density
relations were considered and incorporated into the
macroscopic model. The resulting partial differential
equations are solved numerically and the results are found to
be encouraging. This model can ultimately be helpful for the
implementation of ATIS/ATMS applications under
heterogeneous traffic environment.
A study of sustainable transportation system in ahmedabad and delhiIJARIIT
This paper on sustainable urban transport attempts to overview an all-inclusive set of indicators which are taken up
by planners, authorities in order to help cities for developing an integrated and sustainable transportation system. Developing
countries like India, where unplanned urbanization and unparalleled growth in motorization have led to increased focus on
sustainable use of mass transit systems like commuter rails and bus transportation. An integrated transportation strategy is
most needed so that these modes of transport are integrated efficiently to facilitate the sustainable transportation. The vision of
planners is to ensure easy access, safe, affordable, quick, comfortable, reliable and sustainable mobility for all sections of the
society in our cities. The present transport system in most of the Indian cities is stressed under an urban environment which is
made up of different sub-systems. Hence it is obvious to understand how these sub systems perform in order to have a
sustainable mass-transit transportation network. The various modes of urban transportation – BRTS, Metro, Bicycle-sharing,
usage of CNG fuels – currently available in the city of Ahmedabad and Delhi are discussed in the paper in the context of
urban transport characteristics, public transport, and non-motorized transport. For promoting sustainable urban transport in a
holistic manner it is equally important to understand the social, economic and environmental sustainability of each of these
sub-systems.
Short presentation about the role of AMS in solving Amsterdam mobility issues and setting the mobility agenda. Linking science and practise using Amsterdam as a Living Lab.
Our journal has been unwavering commitment to showcasing cutting-edge research. The journal provides a platform for researchers to disseminate their work on next-generation technologies. In an era where innovation is the driving force behind progress, JST plays a crucial role in shaping the discourse on emerging technologies, thus contributing to their rapid development and implementation.
IRJET- Study on Effect of Mixed Traffic in Highways
Expert Profile Updated
1. Rajiv Dinesh - Co Founder and Chief Technocrat, Medulla Soft Technologies Pvt Ltd
Rajiv is a Computer Scientist from IIT Delhi, who is passionate about the application of technology as a key
enabler in the transformation of Urban mobility. His work is primarily focused on research, development of
new products & service lines and advocacy of technology adoption by government agencies and Urban Local
Bodies for improving Indian cities.
Rajiv and his company Medulla Soft Technologies Pvt Ltd have worked with multiple city governments to demonstrate how simulation models can help objectively evaluate and optimize
interventions in Urban Mobility, including new infrastructure, Mass Rapid Transit Systems, traffic management techniques and disaster management. These optimizations, supported by
a wealth of quantitative traffic performance data (unavailable through conventional techniques), performed at the design stage can ensure mitigation of errors and ensure maximum
return (in terms of traffic performance) of investments made in this domain while minimizing collateral damage such as pollution and loss of productive time. In the context of a
developing country like India with heavily congested cities and limited funds, simulations can help enhance the social and economic value of urban interventions.
MST uses Hybrid simulations to achieve this objective, which can analyze traffic movement and vehicle-to-vehicle interactions at a micro level for local networks, while anticipating the
impact of local changes over the entire city at a mesoscopic level. This ensures that traffic problems are solved at a holistic level, and not by addressing the problems in local pockets
only which can result in merely shifting the problem elsewhere. The Company has been awarded and endorsed for its pioneering efforts by CIIE, IIM Ahmedabad and the Department of
Science and Technology, Govt of India.
Rajiv's work with government agencies on policy matters includes introduction of mandatory simulation based analysis as a basis for impact assessment of specific infrastructure and
real estate proposals with various municipalities. Rajiv has conducted sophisticated research work with the University of New South Wales, Australia and TSS Transport Simulation
Systems, SL of Spain to model Indian traffic behaiour. This research has been based on extensive data collection in Indian conditions, followed by development of software models to
accurately capture non lane based heterogeneous traffic movement, which can be used for further insight into traffic behaviour. The research paper has been published by the Australian
Transport Research Forum (2015).
The simulation models developed based on this research have been utilized to develop a city wide base model for the city of Thane in Maharashtra, covering 300 intersections and over
280 kms of road. This city wide simulation model is not only helping to optimize upcoming infrastructure investment decisions for enhanced mobility, but will also act as a long term
asset on which changes in the city can be modelled and policies and development can be evolved to meet the needs of the emergent traffic conditions. Key stakeholders in the Ministry
of Road Transport & Highways and the Ministry of Urban Development are working with Rajiv to replicate the Thane model across other urban centres in India.
Rajiv's current research interests in this area include replication of emissions from various vehicle classes prevalent in India under varying speed and acceleration conditions, to enable
assessment of emission based environmental impact of different development alternatives using simulation models; optimized scheduling of construction and municipal work to
minimize traffic impact; and crowd management & evacuation planning for mega aggregations of people such as the Kumbh Mela. Rajiv is also working on policy level adoption of Long
Term Structural Health Monitoring using Fibre Optic Sensors for controlled lifetime extension, reduce maintenance cost and disaster mitigation for critical infrastructure.
Expert Profile