Study on Modeling of Local Intelligent Traffic Scheduling

DOI

10.2991/icemc-17.2017.108How to use a DOI?

Keywords

Local intelligent transportation; Road modeling; Traffic modeling; Vehicle scheduling

Abstract

In order to alleviate the congestion of urban traffic roads, reduce the tension of congestion and reduce travel time, through traffic simulation, we can predict and evaluate the actual traffic situation, so as to layout the traffic control facilities preferably. Through the dynamic transformation and optimization of the traffic control parameters and the simulation of road traffic of multiple junctions in all directions or simulation under different conditions, this paper will evaluate the rationality of a few conditions such as road intersection.

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  - Zhang Chao
AU  - Wang Shoujin
AU  - Xu Zhaoyang
PY  - 2016/06
DA  - 2016/06
TI  - Study on Modeling of Local Intelligent Traffic Scheduling
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
PB  - Atlantis Press
SP  - 539
EP  - 543
SN  - 2352-538X
UR  - https://doi.org/10.2991/icemc-17.2017.108
DO  - 10.2991/icemc-17.2017.108
ID  - Chao2016/06
ER  -