THE EFFECT OF MIXED VEHICLES ON TRAFFIC FLOW IN TWO LANE CELLULAR AUTOMATA MODEL

Bin Jia (), Rui Jiang, Zi-You Gao and Xiao-Mei Zhao
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Bin Jia: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, P. R. China;
Rui Jiang: School of Engineering Science, University of Science and Technology of China, Hefei 230026, P. R. China;
Zi-You Gao: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, P. R. China;
Xiao-Mei Zhao: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, P. R. China;

International Journal of Modern Physics C (IJMPC), 2005, vol. 16, issue 10, 1617-1627

Abstract: In real traffic, the traffic system is usually composed of different types of vehicles, which have different parameters. How these parameters, especially the lengths of the vehicles, influence the traffic behaviors and transportation capability has seldom been investigated. In this paper, we study the mixed traffic system using the cellular automata traffic flow model. The simulation results show that when the road occupancy rate is large, increasing the fraction of long vehicles can apparently, improve the transportation capability. The influence of slow vehicles fraction on the average velocity of vehicles has been discussed, and it is found that the influences are very different when the difference of vehicle length is considered or not.

Keywords: Traffic flow; cellular automata; carry capability (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0129183105008199

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