Traffic congestion reduce mechanism by adaptive road routing recommendation in smart city

Gwo Jiun Horng, Jian Pan Li, Sheng-Tzong Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Using fuzzy logic, we propose a model with a neural network for public transport, normal cars, and motorcycles. The model controls traffic-light systems to reduce traffic congestion and help vehicles with high priority pass through. A fuzzy neural network (FNN) calculates the traffic-light system and extends or terminates the green signal according to the traffic situation at the given junction while also computing from adjacent intersections. In the presence of public transports, the system decides which signal(s) should be red and how much of an extension should be given to green signals for the priority-based vehicle. The system also monitors the density of car flows and makes real-time decisions accordingly. In order to verify the proposed design algorithm, we adapted the simulations of sumo, ns2, and GLD to our model, and further results depict the performance of the proposed FNN in handling traffic congestion and priority-based traffic. The promising results present the efficiency and the scope of the proposed multi-module architecture for future development in traffic control.

Original languageEnglish
Title of host publication2013 3rd International Conference on Consumer Electronics, Communications and Networks, CECNet 2013 - Proceedings
Pages714-717
Number of pages4
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 3rd International Conference on Consumer Electronics, Communications and Networks, CECNet 2013 - Xianning, China
Duration: 2013 Nov 202013 Nov 22

Publication series

Name2013 3rd International Conference on Consumer Electronics, Communications and Networks, CECNet 2013 - Proceedings

Other

Other2013 3rd International Conference on Consumer Electronics, Communications and Networks, CECNet 2013
CountryChina
CityXianning
Period13-11-2013-11-22

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All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering

Cite this

Horng, G. J., Li, J. P., & Cheng, S-T. (2013). Traffic congestion reduce mechanism by adaptive road routing recommendation in smart city. In 2013 3rd International Conference on Consumer Electronics, Communications and Networks, CECNet 2013 - Proceedings (pp. 714-717). [6703431] (2013 3rd International Conference on Consumer Electronics, Communications and Networks, CECNet 2013 - Proceedings). https://doi.org/10.1109/CECNet.2013.6703431