Research on the Impacts of Generalized Preceding Vehicle Information on Traffic Flow in V2X Environment

Xiaoyuan Wang, Junyan Han, Chenglin Bai, Huili Shi, Jinglei Zhang and Gang Wang
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Xiaoyuan Wang: College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China
Junyan Han: College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China
Chenglin Bai: School of Physics Science and Information Engineering, Liaocheng University, Liaocheng 252000, China
Huili Shi: College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China
Jinglei Zhang: Shandong Intelligent Green Manufacturing Technology and Equipment Collaborative Innovation Center, Qingdao 266000, China
Gang Wang: College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China

Future Internet, 2021, vol. 13, issue 4, 1-17

Abstract: With the application of vehicles to everything (V2X) technologies, drivers can obtain massive traffic information and adjust their car-following behavior according to the information. The macro-characteristics of traffic flow are essentially the overall expression of the micro-behavior of drivers. There are some shortcomings in the previous researches on traffic flow in the V2X environment, which result in difficulties to employ the related models or methods in exploring the characteristics of traffic flow affected by the information of generalized preceding vehicles (GPV). Aiming at this, a simulation framework based on the car-following model and the cellular automata (CA) is proposed in this work, then the traffic flow affected by the information of GPV is simulated and analyzed utilizing this framework. The research results suggest that the traffic flow, which is affected by the information of GPV in the V2X environment, would operate with a higher value of velocity, volume as well as jamming density and can maintain the free flow state with a much higher density of vehicles. The simulation framework constructed in this work can provide a reference for further research on the characteristics of traffic flow affected by various information in the V2X environment.

Keywords: traffic flow; V2X environment; cellular automata; car-following model; numerical simulation (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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