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Efficient Traffic Control System Using Fuzzy Logic with Priority

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Information and Communication Technology and Applications (ICTA 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1350))

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Abstract

The increase in the number of vehicles on the road is evident by the rate of traffic congestions on daily basis. Problems of traffic congestions are difficult to be measured. Emission of dangerous substances are some of the worrisome effects on weather, theft and delays to motorist are other effects. More and better road network connections have been found to be effective. However, road networks often have intersection(s) which introduces conflicts to right-of-way. These are solved using road traffic light control systems. In this work, an attempt to improve upon an existing programmed stationary road traffic light control system of the Kaduna Refinery Junction (KRJ) is considered. The KRJ is the major road connection to Kaduna main town from the southern part of the state. During working days, motorist from other parts of the country, public and private servants, students, business men, etc. traveling to other parts of the country through the southern part of the state, meet at the KRJ. Trucks conveying petroleum products from the Kaduna Refinery, and vehicles transporting workers, and business men affect the flow of traffic at the junction. An efficient model of fuzzy logic (FL) technique is developed for the optimal scheduling of traffic light control system using TraCI4MATLAB and Simulation of Urban Mobility (SUMO). An average improvement of 2.74% over an earlier result was obtained. Considering priority for emergency vehicles, an improvement of 66.79% over the static phase scheduling was recorded. This shows that FL can be effective on traffic control system.

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Authors and Affiliations

  1. Department of Mathematical Sciences, Kaduna State University, Kaduna, Nigeria

    Ayuba Peter

  2. Department of Computer Science, Kaduna State University, Kaduna, Nigeria

    Babangida Zachariah & Sa’adatu Abdulkadir

  3. Department of Computer Science, Plateau State University, Plateau, Nigeria

    Luhutyit Peter Damuut

Authors
  1. Ayuba Peter
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  2. Babangida Zachariah
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  3. Luhutyit Peter Damuut
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  4. Sa’adatu Abdulkadir
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Corresponding author

Correspondence to Ayuba Peter .

Editor information

Editors and Affiliations

  1. Covenant University, Ota, Nigeria

    Sanjay Misra

  2. Federal University of Technology Minna, Minna, Nigeria

    Bilkisu Muhammad-Bello

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Peter, A., Zachariah, B., Damuut, L.P., Abdulkadir, S. (2021). Efficient Traffic Control System Using Fuzzy Logic with Priority. In: Misra, S., Muhammad-Bello, B. (eds) Information and Communication Technology and Applications. ICTA 2020. Communications in Computer and Information Science, vol 1350. Springer, Cham. https://doi.org/10.1007/978-3-030-69143-1_50

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  • DOI: https://doi.org/10.1007/978-3-030-69143-1_50

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  • Online ISBN: 978-3-030-69143-1

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