Design of Intelligent Traffic Rules Planning System Based on Cellular Automation
- DOI
- 10.2991/fmsmt-17.2017.286How to use a DOI?
- Keywords
- Tracffic Rules Analysis, Intelligent System, Cellular Automation
- Abstract
In order to analyze the validity and scientificity of the traffic rules, we design an intelligent traffic rules analysis system. According to the complexity of traffic flow, we adopt a revised cellular automation to establish corresponding simulation model, in which each vehicle is regarded as a cellular. As the position and speed of each vehicle in the traffic flow are all continual, we alter the conventional cellar space and adjacent zone. We propose and quantify the indexes, including traffic volume, safety and level of service (LOS) of the road to evaluate the performance of traffic rules, and the rationality of road speed limits is analyzed. The results of simulation show that safety and traffic volume are contradicted. Hereafter, we propose two methods to balance the two indexes and provide recommendations for the traffic administrative branches. Meanwhile, the simulation results show the weakness of low road occupancy in light traffic. In terms of the weakness, we propose a new rule, under which vehicles with different speeds travel on different lanes and the speed limits for different lanes are different. Simulation results show that only in light traffic this rule is efficient.
- 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 - Haoshen Lin AU - Gang Liu AU - Bing He AU - Xiaojun Yang AU - Chen Hu PY - 2017/04 DA - 2017/04 TI - Design of Intelligent Traffic Rules Planning System Based on Cellular Automation BT - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017) PB - Atlantis Press SP - 1471 EP - 1477 SN - 2352-5401 UR - https://doi.org/10.2991/fmsmt-17.2017.286 DO - 10.2991/fmsmt-17.2017.286 ID - Lin2017/04 ER -