The new car following model considering vehicle dynamics influence and numerical simulation

Dihua Sun (), Hui Liu (), Geng Zhang () and Min Zhao ()
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Dihua Sun: Key Laboratory of Dependable Service Computing in Cyber, Physical Society of Ministry of Education, Chongqing University, Chongqing 400044, China;
Hui Liu: Key Laboratory of Dependable Service Computing in Cyber, Physical Society of Ministry of Education, Chongqing University, Chongqing 400044, China;
Geng Zhang: Key Laboratory of Dependable Service Computing in Cyber, Physical Society of Ministry of Education, Chongqing University, Chongqing 400044, China;
Min Zhao: Key Laboratory of Dependable Service Computing in Cyber, Physical Society of Ministry of Education, Chongqing University, Chongqing 400044, China;

International Journal of Modern Physics C (IJMPC), 2015, vol. 26, issue 07, 1-16

Abstract: In this paper, the car following model is investigated by considering the vehicle dynamics in a cyber physical view. In fact, that driving is a typical cyber physical process which couples the cyber aspect of the vehicles' information and driving decision tightly with the dynamics and physics of the vehicles and traffic environment. However, the influence from the physical (vehicle) view was been ignored in the previous car following models. In order to describe the car following behavior more reasonably in real traffic, a new car following model by considering vehicle dynamics (for short, D-CFM) is proposed. In this paper, we take the full velocity difference (FVD) car following model as a case. The stability condition is given on the base of the control theory. The analytical method and numerical simulation results show that the new models can describe the evolution of traffic congestion. The simulations also show vehicles with a more actual acceleration of starting process than early models.

Keywords: Cyber physical; car following model; vehicle dynamics; stable analysis; 89.40.-a; 45.70.Vn; 05.10.-a (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0129183115500813

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