Exploring Cooperation in Traffic and Transportation Systems: Concepts, Principles and Approaches

DOI

10.2991/msmi-17.2017.53How to use a DOI?

Keywords

Urban traffic, Cooperation, Decision making, Big data, Game, Collective irrationality

Abstract

Facilitating cooperation on all spatiotemporal and decision scales and creating cooperative transport systems are critical and urgent solutions for increasingly emerging urban traffic challenges. The purpose of this paper is to theoretically explore the general mechanism of cooperative formation and development and to propose an approach to cultivate and facilitate cooperation in urban traffic by leveraging big data. An conceptual framework named public information pools (PIP) to resolve collective irrationality accompanied by traveler selfish choices combined with comparison of some distinguished social dilemma solve approaches, for instance, Pigouivain theory, Coase theorem and social involvement model are presented.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xingguang Chen
AU  - Zhentao Zhu
AU  - Yunhai Dai
PY  - 2017/06
DA  - 2017/06
TI  - Exploring Cooperation in Traffic and Transportation Systems: Concepts, Principles and Approaches
BT  - Proceedings of the 2017 International Conference on Management Science and Management Innovation (MSMI 2017)
PB  - Atlantis Press
SP  - 244
EP  - 247
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-17.2017.53
DO  - 10.2991/msmi-17.2017.53
ID  - Chen2017/06
ER  -