Title: Research on the intellectual traffic flow control system based on multi-agent along with self-governing vehicle and system of wireless sensor network

Authors: Chengtao Cao

Addresses: Guangdong Communication Polytechnic, Tianyuan Road No. 789, Guangzhou, 510650, China

Abstract: The manuscript proposes a novel way to deal with progressively deal with the movement lights cycles and stages in a secluded crossing point. The objective of the work is a framework that offers enhanced execution is adaptable and can be actualized on not well designed components. The proposed framework joins the upsides of the wireless sensor network with the advantages of utilizing quad parallel fuzzy regulators, at is improved execution, adaptation to non-critical failure, and backing for stage particular administration. Reproduction results demonstrate that the proposed framework beats different arrangements in the writing, altogether sinking vehicles holding up times. With a specific end goal to depict the usage process instinctively and framework administration are quickly acquainted and connected with the execution of a self-governing driving framework. We can inspect the upsides of conveyed framework design and the proposed advancement process by directing a contextual investigation on the self-governing framework execution.

Keywords: road traffic; traffic flow control; self-governing vehicle; development process; distributed system; acuity; scheduling.

DOI: 10.1504/IJNVO.2018.095430

International Journal of Networking and Virtual Organisations, 2018 Vol.19 No.2/3/4, pp.341 - 356

Received: 23 Dec 2016
Accepted: 14 Mar 2017

Published online: 04 Oct 2018 *

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