标题:Simplified Monte Carlo Model of Real-time Traffic Flow Prediction
作者:Xing, Jianping; Meng, Lingguo; Sun, Can; Li, Jianwen
通讯作者:Meng, L
作者机构:[Xing, Jianping; Sun, Can; Li, Jianwen] Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China.; [Meng, Lingguo] Shandong Univ, Sch P 更多
会议名称:International Conference on Civil Engineering and Transportation (ICCET 2011)
会议日期:OCT 14-16, 2011
来源:ADVANCED TRANSPORTATION, PTS 1 AND 2
出版年:2011
卷:97-98
页码:867-871
DOI:10.4028/www.scientific.net/AMM.97-98.867
关键词:Monte Carlo collision; traffic flow; time evolution; stochastic; processes
摘要:Simplified Monte Carlo collision model of real-time traffic flow prediction is proposed. In this model, two different road cells, roads and crosses, are configured. Vehicle distribution is generated by real-time traffic flow randomly. Based on two-dimensional topology, Monte Carlo collision between road and vehicles promote time evolution of the system. Monte Carlo collision is the core of the model and traffic flow is study target. The solution of relationship equations of road and vehicles is very simple in this model to speed up the computing. In addition, parameters can be corrected and configured at any time in the process of time evolution. Experimental results show that the model has the advantages of real-time, visual interface, easy configuration, and can be corrected by real-time feedback. The model can not only simulate and predict macroscopic data, such as flow, velocity distribution, but also follow the track of each vehicle in detail. So, the model can be used in researching both macroscopic and microscopic characteristics of vehicle movement.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-80053635246&doi=10.4028%2fwww.scientific.net%2fAMM.97-98.867&partnerID=40&md5=86373d167100a5ad42227322118e3ad5
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