Microscopic Simulation and Optimization of Signal Timing based on Multi-Agent: A Case Study of the Intersection in Tianjin
| Autor: | Leiting Sun, Chunfa Li, Shengkai Wang, Jianqiang Tao, Ziqiang Tong |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
Basis (linear algebra) Intersection (set theory) Computer science media_common.quotation_subject 05 social sciences Real-time computing 02 engineering and technology Pedestrian Signal timing Synchro Perspective (geometry) Traffic congestion 0502 economics and business 0202 electrical engineering electronic engineering information engineering Conceptual model 020201 artificial intelligence & image processing Civil and Structural Engineering media_common |
| Zdroj: | KSCE Journal of Civil Engineering. 22:3373-3382 |
| ISSN: | 1976-3808 1226-7988 |
| DOI: | 10.1007/s12205-018-0528-2 |
| Popis: | The purpose of this paper is to optimize the signal timing through multi-agent simulation technology. Firstly, a conceptual model of the actual intersection is described. Secondly, the social dynamics model of the vehicle and pedestrian evolution rules are established from the micro perspective, which is simulated respectively by Anylogic and Synchro on this basis. Finally, the signal timing strategies for the different vehicle priorities are discovered through the heuristic algorithm. The case study shows that: ①The actual signal timing is not reasonable. ②The optimization strategies of signal timing can improve traffic efficiency. ③By comparing the signal timing strategies of different vehicle priority, the study shows that the Anylogic is more superior to the Synchro, which provides a new way to solve the traffic congestion. |
| Databáze: | OpenAIRE |
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