Title: Modelling and analysis of urban vehicle traffic congestion characteristics based on vehicle-borne network theory

Authors: Minglei Song; Rongrong Li; Binghua Wu; Minwo Lee

Addresses: School of Civil and Transportation Engineering, Henan University of Urban Construction, Pingdingshan, Henan 467036, China ' School of Civil and Transportation Engineering, Henan University of Urban Construction, Pingdingshan, Henan 467036, China ' School of Civil and Transportation Engineering, Henan University of Urban Construction, Pingdingshan, Henan 467036, China ' College of Engineering, Kongju National University, Gongju 32588, South Korea

Abstract: In order to solve the problems of pollution and traffic safety caused by vehicle traffic congestion, this paper establishes an analysis model of urban vehicle traffic congestion characteristics based on vehicle network theory. Through the application of vehicular network, the extended mobility model of vehicular network is established, and the extended motion model of vehicular network is simulated with simulation tools and middleware tools to obtain the trajectory data of urban traffic vehicles. Based on the trajectory data, the survival analysis of urban vehicle traffic congestion is carried out. Kaplan-Meyer non-parametric regression model was used to estimate the duration of urban vehicle traffic congestion, and its distribution characteristics were quantitatively analysed. The experimental results show that the traffic congestion characteristics of urban vehicles are significantly different under different influencing factors, and the error of the trajectory data of urban traffic vehicles obtained by the proposed model is less than 1%.

Keywords: vehicle-borne network; theory; urban vehicle; traffic congestion; characteristics; analysis model; duration.

DOI: 10.1504/IJVICS.2020.108902

International Journal of Vehicle Information and Communication Systems, 2020 Vol.5 No.2, pp.156 - 172

Received: 24 Jun 2019
Accepted: 19 Aug 2019
Published online: 06 Aug 2020 *

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