Full velocity difference car-following model considering desired inter-vehicle distance
Tong Xin (),
Liu Yi,
Cheng Rongjun and
Ge Hongxia
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Tong Xin: Yangming College of Ningbo University, Ningbo 315211, P. R. China
Liu Yi: #x2020;Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, P. R. China‡Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing 210096, P. R. China§National Traffic Management Engineering and Technology Research Center Ningbo University Sub-Centre, Ningbo 315211, P. R. China
Cheng Rongjun: #x2020;Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, P. R. China‡Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing 210096, P. R. China§National Traffic Management Engineering and Technology Research Center Ningbo University Sub-Centre, Ningbo 315211, P. R. China
Ge Hongxia: #x2020;Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, P. R. China‡Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing 210096, P. R. China§National Traffic Management Engineering and Technology Research Center Ningbo University Sub-Centre, Ningbo 315211, P. R. China
International Journal of Modern Physics C (IJMPC), 2018, vol. 29, issue 02, 1-8
Abstract:
Based on the full velocity difference car-following model, an improved car-following model is put forward by considering the driver’s desired inter-vehicle distance. The stability conditions are obtained by applying the control method. The results of theoretical analysis are used to demonstrate the advantages of our model. Numerical simulations are used to show that traffic congestion can be improved as the desired inter-vehicle distance is considered in the full velocity difference car-following model.
Keywords: Traffic congestion; car-following model; control method; desired inter-vehicle distance (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:29:y:2018:i:02:n:s0129183118500183
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DOI: 10.1142/S0129183118500183
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