US EPA

8740927 

Journal Article 

Efficient Traffic Control System Using Fuzzy Logic with Priority 

Peter, A; Zachariah, B; Damuut, LP; Abdulkadir, S 

2021 

Springer Science and Business Media Deutschland GmbH 

1350 

660-674 

English 

10.1007/978-3-030-69143-1_50 

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. © 2020, Springer Nature Switzerland AG. 

Dynamic phase traffic light system; Fuzzy logic; Fuzzy sets; Membership functions; Traffic light control system 

Muhammad-Bello, B.