Cellular Automation Model of Traffic Flow Based on the Car-Following Model
LI Ke-Ping, GAO Zi-You
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044
Cellular Automation Model of Traffic Flow Based on the Car-Following Model
LI Ke-Ping;GAO Zi-You
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044
关键词 ：
05.40.-a ,
89.40.+k
Abstract ： We propose a new cellular automation (CA) traffic model that is based on the car-following model. A class of driving strategies is used in the car-following model instead of the acceleration in the NaSch traffic model. In our model, some realistic driver behaviour and detailed vehicle characteristics have been taken into account, such as distance-headway and safe distance, etc. The simulation results show that our model can exhibit some traffic flow states that have been observed in the real traffic, and both of the maximum flux and the critical density are very close to the real measurement. Moreover, it is easy to extend our method to multi-lane traffic.
Key words ：
05.40.-a
89.40.+k
出版日期: 2004-11-01
:
05.40.-a
(Fluctuation phenomena, random processes, noise, and Brownian motion)
89.40.+k
引用本文:
LI Ke-Ping;GAO Zi-You. Cellular Automation Model of Traffic Flow Based on the Car-Following Model[J]. 中国物理快报, 2004, 21(11): 2120-2123.
链接本文:
https://cpl.iphy.ac.cn/CN/
或
https://cpl.iphy.ac.cn/CN/Y2004/V21/I11/2120
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2004, Vol. 21 
