Size: 48.46 MB
Format: PDF, ePub, Docs
Category : Traffic engineering
Languages : en
Pages : 116
Intelligent Transportation Systems (ITS) are the model for integrating advanced information technology, data communication transmission technology, electronic sensing technology, control technology and computer technology into a comprehensive ground traffic management system. They are the direction of development for future transportation systems. This book presents the proceedings of the 3rd International Conference on Information Technology and Intelligent Transportation Systems (ITITS 2018), held in Xi’an, China, on 15-16 September 2018. The conference provides a platform for professionals and researchers from industry and academia to present and discuss recent advances in the field of information technology and intelligent transportation systems. Intelligent transport systems vary in the technologies they apply, from basic management systems to more application-based systems. Information technology – including wireless communication, computational technologies, floating car data/floating cellular data, sensor technologies, and video vehicle detection – is also intrinsic to intelligent transportation systems. All papers were reviewed by 3-4 referees, and the program chairs of the conference committee made their selections based on the score of each paper. This year, ITITS 2018 received more than 168 papers from 4 countries, of which 41 papers were accepted. Offering a state-of-the-art overview of the theoretical and applied topics related to ITS, this book will be of interest to all those working in the field.
Since transportation infrastructure projects have a lifetime of many decades, project developers must consider not only the current demand for the project but also the future demand. Future demand is of course uncertain and should be treated as such during project design. Previous research for Southwest Region University Transportation Center (Report 167556) explored the impact of uncertainty on roadway improvements and found neglecting uncertainty to lead to suboptimal network design decisions. This research is extended in the current work by considering not only motor vehicle traffic, but other modes as well. The first half of this report examines the problem of network flexibility in the face of uncertainty when constructing a potentially revenue-generating toll road project. Demand uncertainty and network design are considered by way of a bilevel stochastic recourse model. The results from a test network, for which a closed form solution is possible, indicate that the value of network flexibility directly depends on initial network conditions, variance in future travel demand, and toll pricing decisions. The second half of this report integrates Environmental Justice into the transit frequency-setting problem while considering uncertainty in travel demand from protected populations. The overarching purpose is to improve access via transit to basic amenities to: 1) reduce the disproportionate burden transit dependent populations' experience; and 2) increase the financial security of low-income households by giving them a feasible option to reduce their dependence on autos. The example application illustrates the formulation successfully increases access to employment opportunities for residents in areas with the high percentages of low-income persons, as well as demonstrates the importance of considering uncertainty in the locations of low-income populations and employment.
This one-of-a-kind reference offers you a comprehensive and easy-to-follow introduction to the fundamentals of ITS planning and operations. The book puts special focus on traffic flow issues and principles, and addresses recent security concerns in transportation systems, thus allowing you a greater degree of confidence in the success of your projects before actual implementation.