European Transport Research Review | 2019

Optimisation and personalization technologies and algorithms for future transportation systems

 

Abstract


The Transport sector is presently undergoing a rapid and fundamental change that affects all transportation modes and market segments. The main driving forces behind it rest at the confluence of ITS and Industry 4.0 related technologies, whereas new mobility schemes are emerging; such as Mobility-as-a-Service (MaaS) as well as Connected and Automated Vehicles (CAVs). Together they reflect a paradigm shift from vehicle ownership to vehicle use, as well as multimodal unmanned vehicle fleets. Predominant in this emerging mobility world is the concept of modular and adaptable services; that bridge the traveler mobility demand to the mobility services offer in a dynamic manner. Such a matching/ mapping though requires robust optimization algorithms and personalization techniques. This Topical Collection contains 4 papers that together cover key aspects of applying optimization and personalization to different parts of the mobility system. The papers stem from a selection of papers from ICTR2017 Conference (International Conference on Transportation and Research), that took place on 28-29 September 2017 in Thessaloniki, Greece [1]. The first paper performs a benchmarking in the area of ITS optimization for Public Transport (PT) operations. In the context of the Eurobarometer Survey (2014), Commissioner Violeta Bulc said: Today s survey shows that good infrastructure, better connections, and cheaper tickets are the main concerns of EU citizens. That is why we need to remove technical and administrative barriers to ensure that transport services can really operate across the whole EU, without national boundaries. Also we cannot assume that transport services will always be there, or be safe, unless we maintain them. Transport is about people. That is why in all of my initiatives, the main objective will be to contribute to travellers needs and to set the conditions for the European transport economy to flourish. The survey also revealed that convenience is by far the main reason for choosing a specific means of transportation for everyday and long journeys (both 61%), followed by speed (respectively 31% and 41%) and price (12% and18%). ITS is a prominent tool to achieve the above societal goal. And it is even pivotal for the emerging PT fleets automation. The second paper focuses upon optimizing the safety and performance of private cars by designing and personalizing the functionality of Advanced Driver Assistance Systems (ADAS). According to most recent reports [2], in 2014, the largest penetration rate of ADAS in the market was still in Europe, with a penetration rate of around 9.86%. Thus, although Cooperative Intelligent Transportation Systems (C-ITS) may have a great impact on road safety, their extremely small penetration practically nullifies their impact. One of the main reasons behind this fact is related to the usability of these systems; with many drivers reporting too early or too many warnings whereas others claiming too late response. Clearly, the “one size fits all” concept of today’s ADAS does not suffice to serve the very varying driving cohorts needs; from the sporty driving style of an experienced commuter to the defensive one of an elderly driver in an unfamiliar environment. The third paper introduces optimization in Traffic Management Schemes. In today’s large-scale urban networks major dynamic changes are occurring, involving travel demand, model choice motivations and share, route choices (affected also by navigation and routing systems) and traffic flow evolutions. As novel demand prediction models need to be able to deal with “uncertainty”, also urban TMC needs to be traffic responsive and apply traffic simulation optimization effectively into real city traffic networks in real time. Such modeling goes along with much more complete solutions to traffic control, able to handle all the many new and old streams of data and how to best utilize them for

Volume 11
Pages 1-4
DOI 10.1186/s12544-019-0376-2
Language English
Journal European Transport Research Review

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