Study on Modeling of Local Intelligent Traffic Scheduling
Authors
Zhang Chao, Wang Shoujin, Xu Zhaoyang
Corresponding Author
Zhang Chao
Available Online June 2016.
- 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/).
Cite this article
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 -