Title: Research on distributed dynamic traffic data mining based on vehicular ad hoc network

Authors: Gao Jian

Addresses: Research Institute of Highway Ministry of Transport, Beijing 100088, China; Tianjin Expressway Group Co., Ltd., Tianjin 300384, China

Abstract: There are some problems in current traffic data mining methods, such as poor accuracy, high energy consumption, high packet loss rate and lengthy times. A distributed dynamic traffic data mining method based on vehicular ad hoc network is proposed. Before mining, congestion, routing changes, data channel errors and connection interruptions in vehicular ad hoc networks are detected respectively. Particle Swarm Optimisation (PSO) is introduced to realise traffic data classification mining based on vehicular ad hoc networks under network coding and clustering fusion. The simulations results show that the method has high accuracy and efficiency, low-energy consumption and packet loss rate, and high feasibility.

Keywords: vehicular ad hoc network; distributed; traffic data; mining.

DOI: 10.1504/IJVICS.2019.10023861

International Journal of Vehicle Information and Communication Systems, 2019 Vol.4 No.3, pp.264 - 278

Received: 06 Feb 2019
Accepted: 28 Jun 2019

Published online: 10 Sep 2019 *

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