A new car-following model with consideration of the traffic interruption probability
被引:0
作者:
唐铁桥
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机构:
School of Transportation Science and Engineering,Beijing University of Aeronautics and Astronautics
School of Economics and Management,Beijing University of Aeronautics and AstronauticsSchool of Transportation Science and Engineering,Beijing University of Aeronautics and Astronautics
唐铁桥
[1
,2
]
黄海军
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机构:
School of Economics and Management,Beijing University of Aeronautics and AstronauticsSchool of Transportation Science and Engineering,Beijing University of Aeronautics and Astronautics
黄海军
[2
]
黄仕进
论文数: 0引用数: 0
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机构:
Department of Civil Engineering,University of Hong KongSchool of Transportation Science and Engineering,Beijing University of Aeronautics and Astronautics
黄仕进
[3
]
姜锐
论文数: 0引用数: 0
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机构:
School of Engineering Science,University of Science and Technology of ChinaSchool of Transportation Science and Engineering,Beijing University of Aeronautics and Astronautics
姜锐
[4
]
机构:
[1] School of Transportation Science and Engineering,Beijing University of Aeronautics and Astronautics
[2] School of Economics and Management,Beijing University of Aeronautics and Astronautics
[3] Department of Civil Engineering,University of Hong Kong
[4] School of Engineering Science,University of Science and Technology of China
In this paper,we present a new car-following model by taking into account the effects of the traffic interruption probability on the car-following behaviour of the following vehicle.The stability condition of the model is obtained by using the linear stability theory.The modified Korteweg-de Vries(KdV) equation is constructed and solved,and three types of traffic flows in the headway sensitivity space—stable,metastable,and unstable—are classified.Both the analytical and simulation results show that the traffic interruption probability indeed has an influence on driving behaviour,and the consideration of traffic interruption probability in the car-following model could stabilize traffic flow.
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页码:975 / 983
页数:9
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[1]
Bando M,Hasebe K,Nakayanma A. Physical Review E Statistical Nonlinear and Soft Matter Physics . 1995