Traffic Light Control in Vehicular Network Systems using Fuzzy Logic

Ahmed Najm Abood
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Ahmed Najm Abood: University of Qom, Iraq

European Journal of Information Technologies and Computer Science, 2024, vol. 4, issue 4, 1-6

Abstract: Vehicular concentration is getting worse in big and developed cities as we approach the year 2020, creating a challenge. Accurate traffic signal management is a key to efficient free traffic movement and increasing transport security levels. It is thus important to have traffic lights that change with the traffic intensity information that is collected in real-time. Thus, the objective of this study is to design a viable traffic signal control algorithm that would cause minimal delay to drivers. Building on the basis of fuzzy logic, the approach sets input attributes like the volume of the street and the queue of vehicles to identify the right traffic light settings. Performance criteria for evaluation include the average waiting time of the vehicles, and the findings of simulations in this regard show 21.7 seconds, which is faster than the benchmark formula of 25 seconds. This improvement is attributed to the fact that the fuzzy control system is adjustable.

Keywords: Average waiting time; Fuzzy logic; Traffic signal control algorithm; Traffic signal management (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:epw:comput:v:4:y:2024:i:4:id:10132

DOI: 10.24018/compute.2024.4.4.132

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