A Stochastic LWR Model with Consideration of the Driver＇s Individual Property

In this paper,we develop a stochastic LWR model based on the influences of the driver＇s individual property on his/her perceived density and speed deviation.The numerical results show that the driver＇s individual property has great effects on traffic flow only when the initial density is moderate,i....

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Bibliographic Details
Published in理论物理通讯：英文版 Vol. 58; no. 10; pp. 583 - 589
Main Author 唐铁桥 王云鹏 余贵珍 黄海军
Format Journal Article
LanguageEnglish
Published 2012
Subjects
LWR
交通系统
初始密度
司机
振荡现象
模型
财产
随机
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Summary:In this paper,we develop a stochastic LWR model based on the influences of the driver＇s individual property on his/her perceived density and speed deviation.The numerical results show that the driver＇s individual property has great effects on traffic flow only when the initial density is moderate,i.e.,at this time,oscillating traffic flow will occur and the oscillating phenomena in the traffic system consisting of the conservative and aggressive drivers is more serious than that in the traffic system consisting of the conservative （aggressive） drivers.
Bibliography:stochastic LWR model ; the driver＇s perceived error; the driver＇s speed deviation
TANG Tie-Qiao1, WANG Yun-Peng1, YU Gui-Zhen1, HUANG Hai-Jun2（1. School of Transportation Science and Engineering, Beihang University, Beijing 100191, China;2. School of Economics and Management, Beihang University, Beijing 100191, China）
11-2592/O3
In this paper,we develop a stochastic LWR model based on the influences of the driver＇s individual property on his/her perceived density and speed deviation.The numerical results show that the driver＇s individual property has great effects on traffic flow only when the initial density is moderate,i.e.,at this time,oscillating traffic flow will occur and the oscillating phenomena in the traffic system consisting of the conservative and aggressive drivers is more serious than that in the traffic system consisting of the conservative （aggressive） drivers.
ISSN:0253-6102