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Impacts analysis of car following models considering variable vehicular gap policies

Qi Xin, Nan Yang, Rui Fu, Shaowei Yu and Zhongke Shi

Physica A: Statistical Mechanics and its Applications, 2018, vol. 501, issue C, 338-355

Abstract: Due to the important roles playing in the vehicles’ adaptive cruise control system, variable vehicular gap polices were employed to full velocity difference model (FVDM) to investigate the traffic flow properties. In this paper, two new car following models were put forward by taking constant time headway(CTH) policy and variable time headway(VTH) policy into optimal velocity function, separately. By steady state analysis of the new models, an equivalent optimal velocity function was defined. To determine the linear stable conditions of the new models, we introduce equivalent expressions of safe vehicular gap, and then apply small amplitude perturbation analysis and long terms of wave expansion techniques to obtain the new models’ linear stable conditions. Additionally, the first order approximate solutions of the new models were drawn at the stable region, by transforming the models into typical Burger’s partial differential equations with reductive perturbation method. The FVDM based numerical simulations indicate that the variable vehicular gap polices with proper parameters directly contribute to the improvement of the traffic flows’ stability and the avoidance of the unstable traffic phenomena.

Keywords: Car following model; Adaptive cruise control; Variable vehicular gap; Linear stability analysis; Reductive perturbation method (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (23)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:501:y:2018:i:c:p:338-355

DOI: 10.1016/j.physa.2018.02.155

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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