Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Alibaba Cloud’s ET City Brain - Empowering Cities to ThinkAlibaba Cloud
See webinar recording of this presentation at: https://resource.alibabacloud.com/webinar/live.htm?&webinarId=63
Get an overview of how ET City Brain utilizes comprehensive real-time city data to optimize public resources by instantly correcting defects in city operations. Leading to numerous breakthroughs in city management models, service models, and industrial development, ET City Brain provides an open and innovative platform that empowers industry partners and ISVs alike to build better business applications that can be used in tandem with ET City Brain.
Learn more about Alibaba Cloud’s different ET Brains:
https://www.alibabacloud.com/et
This Presentation mentions the various ways in which transportation can be improved by use of "Intelligent Transportation System" and it also includes case study on "The Eastern Freeway, Mumbai."
Alibaba Cloud’s ET City Brain - Empowering Cities to ThinkAlibaba Cloud
See webinar recording of this presentation at: https://resource.alibabacloud.com/webinar/live.htm?&webinarId=63
Get an overview of how ET City Brain utilizes comprehensive real-time city data to optimize public resources by instantly correcting defects in city operations. Leading to numerous breakthroughs in city management models, service models, and industrial development, ET City Brain provides an open and innovative platform that empowers industry partners and ISVs alike to build better business applications that can be used in tandem with ET City Brain.
Learn more about Alibaba Cloud’s different ET Brains:
https://www.alibabacloud.com/et
This Presentation mentions the various ways in which transportation can be improved by use of "Intelligent Transportation System" and it also includes case study on "The Eastern Freeway, Mumbai."
Based on the mandate given in SDG 11, calling for promoting an affordable and sustainable transport, globally all nations are trying to come out with an agenda and a vision for achieving carbon neutrality. Nations must make commitment to promote emissions-free mobility as a fundamental human right; doing the best things for humanity and society to lead towards a better and sustainable future and proactively promoting a paradigm shift towards electrification and creating a hydrogen based society for bringing sustainability. Sustainable transport is known for its distinct and numerous social and economic benefits for the communities, cities, environment and ecology. Studies made and analysis carried out has concluded that; Sustainable transport can help create large number of jobs; improve commuter safety through investment in bicycle lanes; reduce use of fossil fuel ; minimize pollution and congestion, making cities walkable; and making access to employment and social opportunities more affordable and efficient besides decarbonizing cities and making urban settlements more livable and sustainable. Sustainable transportation offers a practical opportunity and simple method of saving people's time, improving people’s health increasing household income and making cities great places for happy, healthy and more productive living besides making investment in sustainable transport, a 'win-win' option and opportunity for all stake holders.’ Decarbonizing, Carbon Neutrality and Zero-Carbon must remain the prime agenda to redefine, promote and achieve the sustainable transportation in urban areas and to achieve the mandate/goals given in SDG11. Planet earth looks at how nations can minimize travel and make it sustainable for making human settlements more peaceful and livable.
Bangladesh is a most densely populated country in the world. The Traffic jam is the main and common problem in the country, especially Dhaka and Chittagong district. Dhaka is mega city and Dhaka is the capital of Bangladesh. More than twelve million people live in Dhaka and the population of Dhaka is increasing rapidly. So, many problems created by its huge population. Every day about seven hundred thousand rickshaws ply in road of Dhaka and the huge number of rickshaws is creating a Traffic jam in the city. Almost all the street is getting jammed by buses, CNG and rickshaws.
Traffic jam has become a regular feature of Dhaka city. Traffic jam obstructed increasing our trade and commerce. If we out from home for office or school, we may face jam and only twenty minute way may take two hours because of the jam. So that we need more time to reach our destination and we lose our valuable time. The students also face problems to attend their class times. For Traffic jam we cannot complete our task write time so our trade and commerce affected. We cannot provide goods and material with in due time. We have to spend half of the day on the road if we want to go somewhere in the city. It also polluted our environment because many vehicles gathering together are created sound and air pollution.
This presentation gives an introduction to transportation planning. It talks about what is transportation and its need. It also talks about how transportation has evolved over the period of time and how the city structure and people's behavior changes with it.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Based on the mandate given in SDG 11, calling for promoting an affordable and sustainable transport, globally all nations are trying to come out with an agenda and a vision for achieving carbon neutrality. Nations must make commitment to promote emissions-free mobility as a fundamental human right; doing the best things for humanity and society to lead towards a better and sustainable future and proactively promoting a paradigm shift towards electrification and creating a hydrogen based society for bringing sustainability. Sustainable transport is known for its distinct and numerous social and economic benefits for the communities, cities, environment and ecology. Studies made and analysis carried out has concluded that; Sustainable transport can help create large number of jobs; improve commuter safety through investment in bicycle lanes; reduce use of fossil fuel ; minimize pollution and congestion, making cities walkable; and making access to employment and social opportunities more affordable and efficient besides decarbonizing cities and making urban settlements more livable and sustainable. Sustainable transportation offers a practical opportunity and simple method of saving people's time, improving people’s health increasing household income and making cities great places for happy, healthy and more productive living besides making investment in sustainable transport, a 'win-win' option and opportunity for all stake holders.’ Decarbonizing, Carbon Neutrality and Zero-Carbon must remain the prime agenda to redefine, promote and achieve the sustainable transportation in urban areas and to achieve the mandate/goals given in SDG11. Planet earth looks at how nations can minimize travel and make it sustainable for making human settlements more peaceful and livable.
Bangladesh is a most densely populated country in the world. The Traffic jam is the main and common problem in the country, especially Dhaka and Chittagong district. Dhaka is mega city and Dhaka is the capital of Bangladesh. More than twelve million people live in Dhaka and the population of Dhaka is increasing rapidly. So, many problems created by its huge population. Every day about seven hundred thousand rickshaws ply in road of Dhaka and the huge number of rickshaws is creating a Traffic jam in the city. Almost all the street is getting jammed by buses, CNG and rickshaws.
Traffic jam has become a regular feature of Dhaka city. Traffic jam obstructed increasing our trade and commerce. If we out from home for office or school, we may face jam and only twenty minute way may take two hours because of the jam. So that we need more time to reach our destination and we lose our valuable time. The students also face problems to attend their class times. For Traffic jam we cannot complete our task write time so our trade and commerce affected. We cannot provide goods and material with in due time. We have to spend half of the day on the road if we want to go somewhere in the city. It also polluted our environment because many vehicles gathering together are created sound and air pollution.
This presentation gives an introduction to transportation planning. It talks about what is transportation and its need. It also talks about how transportation has evolved over the period of time and how the city structure and people's behavior changes with it.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Vehicle To Vehicle Communication SystemMonaco Motors
Vehicle to vehicle communication system enables vehicles to communicate with each other. Watch our slide to know the benefits of this system and what type of information we can share through it. Also keep track of some potential benefits of this system and the natural evolution in automotive safety development.
This project about Pasteing websites like Pastebin.com. The project is part of Egyptian CERT incident handling team. The project is a Python class that keep monitoring pastebin and only shows pastes that are related to a specific filter. For example, a user can add the filter that looks for everything that includes ".gov.eg". We use a weighting function that receives an array of strings/regular expression. The weighting function uses the input to calculate the weight of each paste on pastebin. We keep reviewing the relevant pastes using the web interface of the application. We use Django framework for the UI.
The purpose of the project is to stay aware with any potential DDOS attack or leakage of sensitive data that is related to Egypt.
The next version of the script should be able to collect data from different pasting websites and correlate between them.
The tool has been created by Ibrahim M. El-Sayed (me) and Mahmoud Raouf
Experimental Evaluation of Cooperative Active Safety
Applications based on V2V Communications
Auth.Miguel Sepulcre and Javier Gozalvez
University Miguel Hernandez of Elche
Vehicle to Vehicle presentation talks about building a decentralised network between cars on which we can share useful information that could makes our driving easier.
Our thesis statement was
"We aim to Design a framework that functions as a platform to allow developers to build applications on an ad-hoc-vehicle to vehicle network"
This presentation talks about the proposed design to our network.
Study of Utilising SCM – MIMO Channel Model in V2V CommunicationScott Turner
In the recent year’s vehicular ad hoc networks VANETs
has received significant attention in the intelligent transport
system research. Vehicle-to-vehicle V2V communication can be considered an important approach to help the drivers to satisfy requirements like less congestion, accident warning, road exploration, etc. The propagation issues such as path loss,
multipath fading, shadowing loss, depolarization loss, and
polarization mismatch loss significantly affect the reliability of V2V communication.
The goal of this paper is to evaluate the performance of the
PHY layer in V2V communication using a modified Spatial
Channel Model SCM-MIMO.
Presented at Nets4Cars: 6-8 Oct 2014, Saint Petersburg, Russia.
Dedicated roads for autonomous vehicles Jeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how autonomous vehicles are becoming economic feasible. They are becoming economically feasible because the cost of lasers, ICs, MEMS, and other electronic components are falling at 25 to 40% per year. If the cost of autonomous vehicles fall 25% a year, the cost of the electronics associated with autonomous vehicles will fall 90% in 10 years. Dedicating roads to autonomous vehicles is necessary to achieve the most benefits from autonomous vehicles. While using autonomous vehicles in combination with conventional vehicles can free drivers for other activities, dedicating roads to autonomous vehicles can dramatically reduce congestion, increase speeds, and thus increase the number of cars per area of the road. They can also reduce accidents, insurance, and the number of traffic police. These slide discuss a number of technologies that can be used for the dedicated roads including wireless communication, magnetic stripes and RFIDs that together can coordinate vehicles on roads. The slides end by summarizing efforts in Singapore.
Millennials on the move in the UK, US and Australia
In January 2016, Dr Alexa Delbosc spent two weeks visiting ITS Leeds from ITS Monash in Melbourne Australia. Alexa is a leading researcher on the changing mobility of the millennial generation in Australia. This topic has recently gained much attention in the developed world as millennials are taking longer to get a driving license, driving less and using public transport more than previous generations of young people. During her visit, Alexa has been collaborating with Prof Karen Lucas and Prof Noreen McDonald. She summarised the state of research into millennials with this presentation at the first ITS Research Seminar Series for 2016. Karen, Noreen and Alexa have begun to compare the changing travel habits of millennials in the UK, US and Australia and will continue this research after Alexa's return to Australia. A comparative analysis will highlight the impact of land-use, density and city size on auto-mobility and public transport use of young adults. This work will also be shared in an upcoming special session on young people's travel behaviours and life choices to be held at the World Conference of Transport Research in July 2016.
http://users.monash.edu.au/~delbosc/
The Future of Mixed-Autonomy Traffic (AIS302) - AWS re:Invent 2018Amazon Web Services
How will self-driving cars change urban mobility patterns? This talk examines scientific contributions in the field of reinforcement learning, presented in the context of enabling mixed-autonomy mobility—the gradual and complex integration of autonomous vehicles into existing traffic systems. We explore the potential impact of a small fraction of autonomous vehicles on low-level traffic flow dynamics, using novel techniques in model-free deep reinforcement learning. We share examples in the context of a new open-source computational platform and state-of-the-art microsimulation tools with deep-reinforcement libraries.
IMPORTANCE OF REALISTIC MOBILITY MODELS FOR VANET NETWORK SIMULATIONIJCNCJournal
In the performance evaluation of a protocol for a vehicular ad hoc network, the protocol should be tested under a realistic conditions including, representative data traffic models, and realistic movements of the mobile nodes which are the vehicles (i.e., a mobility model). This work is a comparative study between two mobility models that are used in the simulations of vehicular networks, i.e., MOVE (MObility model generator for VEhicular networks) and CityMob, a mobility pattern generator for VANET. We describe several mobility models for VANET simulations.
In this paper we aim to show that the mobility models can significantly affect the simulation results in VANET networks. The results presented in this article prove the importance of choosing a suitable real world scenario for performances studies of routing protocols in this kind of network.
WARM WELCOME FROM HCL VELACHERY…….
HCL Learning is part of HCL Info Systems Ltd, India’s Premier information enabling company with an annual turnover of 15000 crores Leveraging on the 34 years of industry experience of HCL, with an objective to develop quality IT professionals to meet this ever expanding requirement of Hardware Networking and Software professionals for the IT sector, HCL has launched HCL Career Development Centre.
For any clarification,
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STUDY OF THE EFFECT OF VELOCITY ON END-TOEND DELAY FOR V2V COMMUNICATION IN ITSijngnjournal
This paper focuses on vehicle to vehicle (V2V) communications in VANET. With the development of vehicles and mobile Ad Hoc network technology, the Vehicle Ad hoc Network (VANET) has become an emerging field of study. VANET is a special case of MANET, and will play an important role in city road traffic control. It is a challenging problem for searching and maintaining an effective route for transporting data information. Vehicular Ad Hoc network (VANET), is a hot topic applying mobile Ad Hoc network (MANET) to ITS in recent years. In the era of wireless computing, VANET communications are gaining a lot of attention. In this paper we provide a simulation and study of the effect of velocity on end-to-end delay for v2v communication in intelligent transportation Systems
A Review on Road Traffic Models for Intelligent Transportation System (ITS)IJSRD
Traffic flow models seek to describe the interaction of vehicles with their drivers and the infrastructure. Almost all the models directly or indirectly characterize the relationship among the traffic variables: the position, the speed, the flow, and the density of vehicles. These relationships can be based on either the behavior of individual vehicles in a traffic network in relation to the dynamics of other vehicles, the overall characteristics of the flow of vehicles in a traffic network, or a combination of the behavior of individual vehicles in a traffic network and the overall traffic flow characteristics. This paper describes the different models for automatic Traffic control system.
Motorcycle Movement Model Based on Markov Chain Process in Mixed TrafficIJECEIAES
Mixed traffic systems are dynamically complex since there are many parameters and variables that influence the interactions between the different kinds of vehicles. Modeling the behavior of vehicles, especially motorcycle which has erratic behavior is still being developed continuously, especially in developing countries which have heterogeneous traffic. To get a better understanding of motorcycle behavior, one can look at maneuvers performed by drivers. In this research, we tried to build a model of motorcycle movement which only focused on maneuver action to avoid the obstacle along with the trajectories using a Markov Chain approach. In Markov Chain, the maneuver of motorcycle will described by state transition. The state transition model is depend on probability function which will use for determine what action will be executed next. The maneuver of motorcycle using Markov Chain model was validated by comparing the analytical result with the naturalistic data, with similarity is calculated using MSE. In order to know how good our proposed method can describe the maneuver of motorcycle, we try to compare the MSE of the trajectory based on Markov Chain model with those using polynomial approach. The MSE results showed the performance of Markov Chain Model give the smallest MSE which 0.7666 about 0.24 better than 4 order polynomial.
STUDY OF VANET ROUTING PROTOCOLS FOR END TO END DELAYcscpconf
Less than a century since the automobile was made affordable enough for the general public, hundreds of millions of vehicles now travel along highways and streets around the
world. Innovations in safety, comfort, and convenience have made vast improvements in
automobiles during that time, and now new technologies promise to change the face of
vehicular travel once again. Vehicular ad hoc network (VANET) is network which provides the communication between vehicle to vehicle for p r o v i d i n g i n f o r m a t i o n t o travelers with new features and applications that have never previously been possible. This paper focuses
on vehicle to vehicle (V2V) communications in VANET. Lot of research is going on for
determining route between source and destination vehicles for routing the information with
good packet delivery ratio. In this paper we provide a simulation and study of VANET Routing Protocols for end-to-end delay in V2V communication.
Similar to Agent based car following model for heterogeneities of platoon driving with v2 v communication (20)
www.nhtnetwork.org/cqc-efficiency-network/home
The CQC Efficiency Network is a collaborative venture between ITS researcher Dr Phill Wheat and leading
performance and benchmarking company measure2improve (m2wi). Dr Wheat has used funding from the EPSRC
Impact Acceleration Account (IAA) to refine the tools to support m2i in developing the fast growing network. The IAA is an institutional award funded by EPSRC to help speed up the contribution that engineering and physical science research make towards new innovation, successful businesses and
the economic returns that benefit UK plc.
Posters summarizing dissertation research projects - presented by MSc students at the Institute for Transport Studies (ITS), University of Leeds, April 2017. http://bit.ly/2re35Cs
www.its.leeds.ac.uk/courses/masters/dissertation
Cutting-edge transport research showcased to Secretary of State during the event to officially re- open the Institute building www.leeds.ac.uk/news/article/4011/cutting-edge_transport_research_showcased_to_secretary_of_state
DR STEPHEN HALL, PROFESSOR SIMON SHEPHERD, DR ZIA WADUD; UNIVERSITY OF LEEDS, IN COLLABORATION WITH FUTURE CITIES CATAPULT
Also see https://theconversation.com/five-reasons-why-you-might-be-driving-electric-sooner-than-you-think-71896
Presentation Fiona Crawford - winner of the Smeed prize for best student paper at the UTSG Conference 2017
www.its.leeds.ac.uk/people/f.crawford
www.utsg.net/web/index.php?page=annual-conference
Efforts to reduce the emissions from car travel have so far been hampered by a lack of specific information on car ownership and use. The Motoring and vehicle Ownership Trends in the UK (MOT) project seeks to address this by bringing together new sources of data to give a spatially and disaggregated diagnosis of car ownership and use in Great Britain and the associated energy demand and emissions.
Data from annual car M.O.T tests, made available by the Department for Transport, will be used as a platform upon which to develop and undertake a set of inter-linked modelling and analysis tasks using multiple sources of vehicle-specific and area-based data. Through this the project will develop the capability to understand spatial and temporal differences in car ownership and use, the determinants of those differences, and how levels may change over time and in response to various policy measures. The relationship between fuel use and emissions, and the demographic, economic, infrastructural and socio-cultural factors influencing these will also be tested.
Consequently, the MOT project has the potential to transform the way in which energy and emissions related to car use are quantified, understood and monitored to help refine future research and policy agendas and to inform transport and energy infrastructure planning.
www.its.leeds.ac.uk/research/featured-projects/mot
The University's Annual Review covering the 2015-16 academic year. This new publication gives an overview of some of the most important initiatives and activities that the University has undertaken recently and a sense of the scale of the ambition for the future.
www.its.leeds.ac.uk/people/c.calastri
Social networks, i.e. the circles of people we are socially connected to, have been recognised to play a role in shaping our travel and activity behaviour. This not only has to do with socialisation being the purpose of travel, but also with enabling mobility and other activities through the so-called social capital. Another theme in the literature connecting social environment and travel behaviour is social influence, i.e. the investigation of how travel behaviour can be affected by observation or comparison with other people. Research about the impact of social influence on travel choices is still at its infancy. In this talk, I will give an overview of how choice modelling can be used to investigate the relationships between social networks, travel and activities. I will touch upon work that I have done so far, in particular I will describe my applications of the Multiple Discrete-Continuous Extreme Value (MDCEV) model to frequency of social interactions as well as to allocation of time to different activities, taking the social dimension into account. In these studies, I make use of social network and travel data collected in places as diverse as Switzerland and Chile. I will also discuss ongoing work making use of longitudinal life-course data to model the impact of family of origin and the “mobility environment” people grew up in on travel decision of adults. Finally, I will outline future plans about modelling behavioural changes due to social influence using the smartphone app travel data that are being collected in Leeds within the “Choices and consumption: modelling long and short term decisions in a changing world” (“DECISIONS”) project.
Shigeki Oxawa is Associate Professor at the Department of Integrated Informatics, Daido University and part-time Lecturer in Transport Economics at Hosei University. He is a transport economist with a strong interest in transport policy. He is currently an academic visitor at Leeds University (April 2016-March 2017) working in the area of intermodal transport (with a focus on rail freight transport) and in turn track access charges.
Abstract: In the national railway revolution in Japan, the passenger division was divided into 6 companies by regions. They operate trains and own/manage the rail track (vertical integration system). On the other hand, vertical separation was introduced into freight companies, therefore, freight companies have to access rail track owned/managed by passenger companies. The Japanese regulator regards track access transactions between passenger companies and freight companies as private business.
In the vertical separation system, freight companies cannot get access to the slots required and efficient allocation of rail track cannot be achieved. The vertical separation is a very significant issue in railway policy and freight transport policy in Japan. In the presentation, causes and possible solutions to the issue will be shown.
Shigeki is Associate Professor at the Department of Integrated Informatics, Daido University and part-time Lecturer in Transport Economics at Hosei University. He is a transport economist with a strong interest in transport policy. He is currently an academic visitor at Leeds University (April 2016-March 2017) working in the area of intermodal transport (with a focus on rail freight transport) and in turn track access charges. He has 20 years of experience in research and teaching.
Empirical analysis of crowd-sourced freight deliveries
Presenter: Amanda Stathopoulos, Assistant Professor of Civil and Environmental Engineering, Northwestern University
This seminar presents results from empirical analysis of crowd-sourced freight deliveries in the US. Crowd-sourced deliveries build on the idea that citizens deliver goods, ideally along planned travel routes. Crowdshipping has a potential to match highly fragmented transport capacities with vastly diverse demand for urban freight deliveries, temporally, spatially and in real-time. This is typically achieved through platforms that connect carriers with consumers in need of deliveries. A third-party broker, who operates the platform, provides match-making, analysis and customer services between demand and supply. The main advantage of crowdshipping is the reduced need for fixed facilities, such as cars or warehouses, to run operations. The main obstacles are trust, liability issues, and ensuring a critical mass of couriers and customers. Despite the growth in operations, there is still a poor understanding of the performance, functionality and acceptability of these new delivery methods. The seminar presents results analyzing the performance in the early stages of operation of crowdshipping. Based on real operational data from 2 years across the US the performance is examined with an emphasis on the specificity of crowdshipping, namely related to delivery variability and the temporal matching dynamics. Based on additional survey experiments the behavior of the main agents in the system is modeled with an emphasis on revealing acceptance and priorities of both occasional drivers and senders. The research derives from a Partnership-for-Innovation (PFI) project funded by the NSF where a Chicago based research team (NU, UIC) is evaluating the capabilities of CROwd-sourced Urban Delivery (CROUD) in collaboration with a crowd-shipper technology firm.
About Amanda: Amanda’s research focuses on developing new methodologies to collect data and specify mathematical models to account for broad and realistic choice behaviour in the transport setting (for instance social determinants, environmental concern, user experience, simplified decision rules). These richer layers of user motivations is an area of primary relevance in improving understanding and prediction of travel behavior. For a range of current transportation challenges such as promoting transit ridership growth, moving towards alternative fuels, or getting companies to adopt better practices in delivering goods, there is increasing recognition of the need to build adequate tools to account for decision complexity on the user side to match with effective decision support.
Research presentation by visiting academic Dr Michael Poku-Boansi, Senior Lecturer at the Department of Planning, KNUST, Kumasi, Ghana and member of the Ghana Institute of Planners (GIP).
Abstract:
Research indicates that transport services in cities in developing countries are mostly informal and include the use of rickety and low occupancy vehicles such as minibuses, taxis, motorcycles and vans, operated by private groups or individuals. Due to this classification, two schools of thought have emerged. The first suggests that these informal transport service sector operators in most cases operate outside the officially sanctioned public transport sector and as a result should be regarded as nuisance due to its disorganised nature, calling for public intervention and occasional eradication. Given its disorganised nature, informal transport service operators are identified with urban problems including low level of services, high rates of collision and accidents, increased congestion in cities, erratic scheduling and services, inadequate and lack of capacity and evasion of taxes and fees. In contrast, the other school of thought supports and emphasises the critical role these private operators play in meeting the mobility demand of the urban population, as in some jurisdictions (e.g., Ghana, Kenya, and Senegal) provide over 50% of transport services. Public transport service provision in Ghana has undergone several transformations since pre-colonial times, both structured and disorganised development. However, to avoid the gradual decay of public transport service provision in Ghana, the government of Ghana since 2005 has initiated plans to introduce Bus Rapid Transit (BRT) services as a way of improving efficiency in public transport services. The Ghana UTP seeks to among other things to improve mobility within Ghana’s urban centres and to shift to more environmentally-sustainable transport modes and lower transport-related GHG emissions. Although the BRT project is yet to be fully roll out, its implementation is already facing some resistance from the informal public transport operators due to, a large extent, mistrust between the informal public transport operators and the government. The informal public transport operators consider this government intervention (BRT) as a strategy to make their operations inefficient and unpopular among Ghanaians. As a result, previous attempts to implement the project have failed, regardless of the potential benefits of the BRT. The purpose of my research is to explore ways of transition the uncoordinated informal public transport service operations in Ghana into a formal public transport service sector.
Presentation by Cristhian Figueroa at the Socially Just Transport Doctoral Network
www.its.leeds.ac.uk/people/c.figueroa+martinez
https://transportandsocialjustice.com/2016/11/25/2nd-seminar-201617-1411-pictures-and-presentations
Cristhian Figueroa is architect and master in Urban Design and a PhD student at the Institute for Transport Studies (ITS) at the University of Leeds. He is currently studying the effects of the features of deprived built environments over walking skills. His work includes studies related land use around transfer stations and social practices involved in pedestrian trips.
Guest presentation at www.cmc.leeds.ac.uk by Maria Kamargianni, Lecturer in Transport & Energy, Head of the Urban Transport & Energy Group at UCL
https://iris.ucl.ac.uk/iris/browse/profile?upi=MKAMA85
www.cmc.leeds.ac.uk/events
What Exactly Is The Common Rail Direct Injection System & How Does It WorkMotor Cars International
Learn about Common Rail Direct Injection (CRDi) - the revolutionary technology that has made diesel engines more efficient. Explore its workings, advantages like enhanced fuel efficiency and increased power output, along with drawbacks such as complexity and higher initial cost. Compare CRDi with traditional diesel engines and discover why it's the preferred choice for modern engines.
What Does the Active Steering Malfunction Warning Mean for Your BMWTanner Motors
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𝘼𝙣𝙩𝙞𝙦𝙪𝙚 𝙋𝙡𝙖𝙨𝙩𝙞𝙘 𝙏𝙧𝙖𝙙𝙚𝙧𝙨 𝙞𝙨 𝙫𝙚𝙧𝙮 𝙛𝙖𝙢𝙤𝙪𝙨 𝙛𝙤𝙧 𝙢𝙖𝙣𝙪𝙛𝙖𝙘𝙩𝙪𝙧𝙞𝙣𝙜 𝙩𝙝𝙚𝙞𝙧 𝙥𝙧𝙤𝙙𝙪𝙘𝙩𝙨. 𝙒𝙚 𝙝𝙖𝙫𝙚 𝙖𝙡𝙡 𝙩𝙝𝙚 𝙥𝙡𝙖𝙨𝙩𝙞𝙘 𝙜𝙧𝙖𝙣𝙪𝙡𝙚𝙨 𝙪𝙨𝙚𝙙 𝙞𝙣 𝙖𝙪𝙩𝙤𝙢𝙤𝙩𝙞𝙫𝙚 𝙖𝙣𝙙 𝙖𝙪𝙩𝙤 𝙥𝙖𝙧𝙩𝙨 𝙖𝙣𝙙 𝙖𝙡𝙡 𝙩𝙝𝙚 𝙛𝙖𝙢𝙤𝙪𝙨 𝙘𝙤𝙢𝙥𝙖𝙣𝙞𝙚𝙨 𝙗𝙪𝙮 𝙩𝙝𝙚 𝙜𝙧𝙖𝙣𝙪𝙡𝙚𝙨 𝙛𝙧𝙤𝙢 𝙪𝙨.
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Agent based car following model for heterogeneities of platoon driving with v2 v communication
1. Agent-based car-following model for
heterogeneities of platoon driving with
V2V communication
Dong Ngoduy and Tony Jia
EPSRC career acceleration fellowship EP/J002186/1
(2011-2016)
2. Outline
• Background and car-following modeling approach
• Heterogeneous platoon dynamics (e.g. instabilities)
Realistic inter-vehicle communication with
heterogeneous transmission delay and packet loss [1][2]
Heterogeneous platoon operations with Human-driven
vehicles and CA vehicles [3]
1
[1] Jia and Ngoduy (2016a). "Platoon based cooperative driving model with consideration of realistic inter-
vehicle communication." Trans. Res. Part C 68 (2016): 245-264.
[2] Jia and Ngoduy (2016b). "Enhanced cooperative car-following traffic model with the combination of V2V
and V2I communication." Trans. Res. Part B 90 (2016): 172-191.
[3] Jia and Ngoduy (2016c). "Agent-based multiclass model and control of heterogeneous platoon with inter-
vehicle communication." Trans. Res. Part B, to appear.
3. Motivation for ICT
• Traffic congestion
More than 1 billion registered
motor vehicles in the world; and it
is expected that the number will be
doubled within the next 10 to 20
years.
• Vehicle emissions
Contribution to air pollution and
are a major ingredient in the
creation of haze in some large
cities.
2
4. Platoon-based Driving
• Platoon-based driving: With the help of inter-vehicle communication, a vehicle can timely
obtain information from neighbouring vehicles, then adopt a suitable control law to achieve
certain objective, e.g., maintaining a constant inter-vehicle spacing.
• Features:
Within a platoon, one leader and several members following the leader
All members following the driving behavior of leader
Constant intra-platoon spacing and the same speed as the leader
• Benefits:
Increase traffic flow throughput
Reduce fuel consumption
…
3
Platoon drivingPlatoon driving
Direction
Individual driving
Individual driving
5. Platoon driving with V2V communication
• Physical layer describes the
platoon dynamics under the
constraints of traffic environment.
• Cyber (networking) layer
describes the behaviours of
vehicular networks formed by
vehicles with communication
capability.
• Tight coupling between platoon-
dynamics and vehicular
networking.
4
Vehicular cyber-physical system [Jia et al.]
Jia et al. (2015) "A survey on platoon-based vehicular cyber-physical systems." IEEE Communications Surveys &
Tutorials 18, no. 1 : 263-284.
6. Car-following models
To describe “car-following” behaviour: a driver follows the (direct) leading
vehicle by judging:
• Space headway
• Relative speed
7. Agent-based model for CA vehicle
• Four components
Vehicle dynamics which inherently characterize vehicle’s behaviour stemming
from manufacture, e.g., actuator lag;
Information type: the information to be exchanged among vehicles, e.g., the
position and velocity of a vehicle;
Communication topology describing the connectivity structure of vehicular
networks, such as predecessor-follower, leader-follower, bidirectional, etc.;
Control law such as consensus control, etc., to be implemented on each
vehicle in order to define the car-following rule in the connected traffic flow
6
8. Agent-based car-following model
7
𝑁𝑖 (t) denotes the neighbour set of vehicle i.
Γ𝑙(.) describes the corresponding control algorithm for the
dynamics of the considered vehicle under the V2V communication.
• Communication topology among platoon members is represented
as a directed graph G=(V,E,A).
V= 1,2,...,n is the set of vehicles
E ⊆V ×V is the set of edges (communication links)
A is an adjacency matrix with nonnegative elements which
represents the communication link between vehicle i and j. (𝑎𝑖𝑗=1
in the presence of a communication link from j to i, otherwise 𝑎𝑖𝑗= 0)
• Car-following model
9. System verification
8
• System specification
IEEE 802.11p as the V2V communication protocols support information
exchange between CA vehicles.
All CA vehicles within the same platoon can connect with each other
Constant headway spacing strategy
Consensus control algorithm is adopted for CA vehicles.
• Platoon stability:the state errors between the leader and its
members are bounded
10. Consensus control
• Vehicle platooning can be formulated as a typical consensus problem,
i.e. state errors between followers and leader being convergence to
zero/bounded value [Fax et al.]
• Time-varying communication topology and heterogeneous
uncertainties (communication delays, packet loss, and transmission
errors) require a more generic communication structures suitable for
V2V communication description.
9
Fax et al. (2004) "Information flow and cooperative control of vehicle formations." IEEE transactions
on automatic control 49.9 : 1465-1476.
11. Heterogeneities of vehicle platooning
• V2V communication: packet loss and probabilistic transmission delay
among V2V communication (due to the performance of IEEE802.11P)
• Composition structure: penetration of CA/human-driven vehicle,
relative order of the vehicle types in the platoon.
10
13. Consensus control algorithms
12
𝜏𝑗is the time-varying communication delays from vehicle j to other members
The first and second lines of Eq. (8) represent the vehicle’s position and velocity
difference between itself and platoon members, respectively
The third and fourth lines of Eq. (8) represent the vehicle’s position and velocity
difference between itself and the platoon leader, respectively
15. Solution to the equation
• Using the Leibniz–Newton and based on Lyapunov stability condition,
the maximum delay can be estimated.
14
• Bounded state error depends on
system parameters, such as
platoon size, beacon delivery
ratio, and acceleration
perturbation magnitude.
16. Simulation scenarios
• (1) a single large perturbation wherein the leader first decelerates
from 25 m/s to 5m/s, then maintains this speed for a period of time,
and finally accelerates to the original speed 25 m/s.(to mimic traffic
emergency like collision avoidance)
• (2) the continuous small perturbations wherein the leader
experiences a sinusoidal disturbance in speed. (to mimic common
traffic disturbance caused by abnormal driving behaviour)
15
19. Conclusions
• The state (position and velocity) errors between the platoon
members and the leader can converge within a certain bound.
• The bounded values are determined by the system parameters, such
as platoon size, beacon delivery ratio, and acceleration perturbation
magnitude.
18
22. Heterogeneous platoon with CA
and human-driven vehicle
21
Human-driven member
V2V communication
0
CA member
Moving
direction
CA leader
On-board sensing Human sensing
1234567
Example of communication topology for a heterogeneous platoon.
23. Modelling CA and human-driven vehicle
22
• Car-following model for human-driven vehicle (i.e. IDM of Treiber et al.)
• Car-following model for CA vehicle (same as before…)
25. Modelling position order of vehicles
• Bitmap matrix : defining the number and the relative
position/order of CA vehicles in the platoon
• General format of adjacency matrix of heterogeneous platoon (star)
24
26. Communication topologies
• The interplay between CA vehicles and the human-driven is described
via the structure of adjacency matrix A which is decided not only by
the CA vehicles’ penetration but also the relative order.
• Larger algebraic connectivity can lead to faster convergence of the
system. Hence, the system performance could be potentially
improved by adjusting the composition structure of the
heterogeneous platoon.
25
27. Solution to the equation
• Using the Leibniz–Newton and based on Lyapunov stability condition.
26
• Bounded state error depends on
perception delay caused by human-
driven vehicles, as well as the number
(penetration) of the CA vehicles.
• Convergence rate determined by
not only the CA vehicles' penetration
but also their order/position in the
platoon
28. Simulation scenarios
• an initial phase during which all following vehicles launch from
predefined positions to finally cooperatively drive at the same
constant speed 25m/s regulated by the leader (essentially to mimic a
sharp perturbation).
• a continuous small perturbation wherein the leader experiences
a sinusoidal disturbance in speed (to mimic common traffic
disturbance caused by an abnormal driving behaviour)
27
Human-driven member
V2V communication
0
CA member
Moving
direction
CA leader
On-board sensing Human sensing
1234567
29. Simulation Results
28
Platoon performance with different penetration of human-driven vehicles
(initial stage with fixed position error (top) and continuous perturbations stage (bottom))
32. Conclusions
• The system transient-state performance is mainly determined by not
only the CA vehicles' penetration but also their order/position in the
platoon. Furthermore, the convergence rate can be improved by
optimizing the algebraic connectivity of the communication, which is
related to the communication topology of matrix A.
• For a given heterogeneous platoon driving with forward V2V
communication topology, the optimal composition structure is all
human-driven vehicles following all CA vehicle in the platoon.
31