Effects of Incomplete Information on Traffic Guidance in Intelligent Transportation Systems

DOI

10.2991/icsmim-15.2016.11How to use a DOI?

Keywords

Information feedback strategy; Traffic flow; Cellular automaton model

Abstract

The information feedback strategies for traffic guidance are important to improve the traffic capacity in Intelligent Transportation System. It assumed that all vehicles on the road are floating vehicles in the current information feedback strategies research. In reality, not all vehicles can be equipped with vehicular terminals, which are non-floating vehicles. We proposed a new strategy, Estimated Weighted Mean Velocity Feedback Strategy (EWMVFS), which can estimate the road status in the scenario with the coexistence of floating and non-floating vehicles. Simulation results show that EWMVFS can decrease the negative influence of the non-floating vehicles, which means better stability, guidance performance and practicability.

Copyright

© 2016, 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  - Yufeng Chen
AU  - Zhengtao Xiang
PY  - 2016/01
DA  - 2016/01
TI  - Effects of Incomplete Information on Traffic Guidance in Intelligent Transportation Systems
BT  - Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
PB  - Atlantis Press
SP  - 51
EP  - 54
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsmim-15.2016.11
DO  - 10.2991/icsmim-15.2016.11
ID  - Chen2016/01
ER  -