Title: Research on data forwarding delay estimation of intelligent transportation system based on internet of vehicles technology

Authors: Jian Gao; Daxin Tian

Addresses: School of Transportation Science and Engineering, Beihang University, Beijing 100191, China; Research Institute of Highway Ministry of Transport, Beijing 100088, China ' School of Transportation Science and Engineering, Beihang University, Beijing 100191, China

Abstract: In order to solve the problems of high error rate and long time in traditional data forwarding delay estimation methods, a data forwarding delay estimation method based on internet of vehicles technology for intelligent transportation system is proposed. Based on the Node-Link-Arc-Road model and the internet of vehicles technology, the simulation traffic network is constructed to optimise the intelligent transportation system. Based on the optimised intelligent transportation system, the average delay of the link is calculated according to the message data timestamp information, and the continuous vibration time and vibration period of the signal are estimated by using the sliding rectangular window, and the estimation results of the data forwarding delay of the intelligent transportation system are obtained. The experimental results show that the error rate of time delay estimation is less than 7%, the maximum estimated time is only 0.3 s, and the number of forward queued tasks is less.

Keywords: internet of vehicles technology; intelligent transportation system; data forwarding; time delay estimation; simulation traffic network; sliding rectangular window.

DOI: 10.1504/IJVICS.2022.127415

International Journal of Vehicle Information and Communication Systems, 2022 Vol.7 No.3, pp.244 - 258

Received: 29 Sep 2020
Accepted: 20 Jan 2021
Published online: 05 Dec 2022 *

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