Title: Effectiveness evaluation method for traffic data acquisition based on vehicle-borne network

Authors: Minglei Song; Binghua Wu; Rongrong Li

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

Abstract: In order to reduce the probability of traffic accidents and enhance the safety of vehicle traffic, a method for evaluating the effectiveness of traffic data collection based on vehicle network is proposed. A virtual coil is set on the driving lane to detect vehicles through three features of texture change, foreground area and pixel movement within the coil. A traffic detector is introduced to collect traffic data for a long time. Based on the cognitive assessment theory, a comprehensive assessment index system for the effectiveness of traffic data collection is constructed to complete the assessment. The experimental results show that the evaluation time of this method is less than 18 s, and the evaluation energy consumption is lower than other methods by more than 20 J, which proves that the evaluation time of this method is shorter, the error is smaller and the energy consumption is lower.

Keywords: vehicle-borne network; traffic data; acquisition; evaluation.

DOI: 10.1504/IJVICS.2022.127406

International Journal of Vehicle Information and Communication Systems, 2022 Vol.7 No.3, pp.211 - 227

Received: 27 May 2020
Accepted: 18 Aug 2020
Published online: 05 Dec 2022 *

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