DocumentCode
2072933
Title
Modifying Simulation Model under Mixed Traffic Condition
Author
Liu Bohang ; Lv Xikui ; Li Qingbing ; Wu Jinglong
Author_Institution
Sch. of Traffic & Transp., Shijiazhuang Railway Inst., Shijiazhuang, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
493
Lastpage
496
Abstract
Traffic simulation technology is a practical computer simulation technology, and the development of traffic simulation software systems are usually based on the knowledge of computer and traffic. Aiming at the situation of china, an improved approach of the traffic simulation is proposed in this paper. Under the special condition in China, the mixed traffic whose lanes are not divided clearly is chaotic. Without clear state of car-following or lane-changing, and also influenced by the speed of the non-motor vehicles ahead, the gap between vehicles, as well as the angle between the gap and current vehicles, the speed and the angle of the vehicles in motion will change real-timely. Based on the research done before, the mixed traffic advance model is put forward in this paper on the basis of the stimulation-action model. It is demonstrated through example that the traffic state in China under the condition that the traffic lanes are not divided clearly is simulated by using the proposed model more accurately, thereby, it presents a new idea for related research.
Keywords
road traffic; traffic engineering computing; car following traffic; computer simulation; lane changing traffic; mixed traffic advance model; mixed traffic condition; nonmotor vehicles; simulation model; stimulation-action model; traffic simulation software systems; Chaos; Computational modeling; Computer simulation; Information science; Knowledge engineering; Rail transportation; Railway engineering; Software systems; Traffic control; Vehicles; Car following model; computer simulation technology; mixed traffic;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ISISE), 2009 Second International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-6325-1
Electronic_ISBN
978-1-4244-6326-8
Type
conf
DOI
10.1109/ISISE.2009.52
Filename
5447290
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