DocumentCode :
2569037
Title :
An improved one-dimensional cellular automation model of traffic flow
Author :
Jian, Guo ; Hongzhang, Jin ; Xinglin, Chen ; Dongjian, Wu
Author_Institution :
Coll. of Power & Engine Eng., Harbin Eng. Univ., Harbin
fYear :
2008
fDate :
2-4 July 2008
Firstpage :
4481
Lastpage :
4485
Abstract :
At the condition of periodic boundary, motor vehicles traffic flow with different-maximum-speed vehicles mixed on one-way and single lane is the target of research. Based on NS models of traffic flow, the relative velocity among vehicles is taken into account. And the renewal rules of NS model are revised. It is mainly to raise the driving speed by correlating stochastic probability of speed-down with velocity. Mixed traffic flows with two-different-maximum-speed and three-different-maximum-speed are acted examples to be simulated. On the basic of the result of simulation, the velocity of mixed traffic flows is up to the velocity of slow vehicles. So for improving the velocity of high-speed roads, the limitation of the lowermost velocity is needed to be raised. The traffic capacity of high-speed roads also can be increased.
Keywords :
cellular automata; probability; road traffic; road vehicles; stochastic processes; NS model; mixed traffic flow; motor vehicles; one-dimensional cellular automation model; periodic boundary condition; stochastic probability; Automation; Automotive engineering; Fuel economy; Lattices; Power engineering and energy; Power generation economics; Road vehicles; Space exploration; Traffic control; Vehicle dynamics; Cellular Automation; Mixed Traffic Flow; NS Model; Traffic Flow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
Type :
conf
DOI :
10.1109/CCDC.2008.4598177
Filename :
4598177
Link To Document :
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