Abstract
In the past, the Webster optimal cycle time formula was limited to calculate the optimal cycle from historical data for fixed-time traffic signal control. This paper focuses on the design of an adaptive traffic signal control based on fuzzy logic with Webster and modified Webster's formula. These formulas are used to calculate the optimal cycle time depending on the current traffic situation which applying in the next cycle. The alternation of the traffic condition between two successive cycles is monitored and handled through the fuzzy logic system to compensate the fluctuation. The obtained optimal cycle time is used to determine adaptively the effective phase green times i.e. is used to determine adaptively the maximum allowable extension limit of the green phase in the next cycle. The SUMO traffic simulator is used to compare the results of the proposed adaptive control methods with fuzzy logic-based traffic control, and fixed-time Webster and modified Webster-based traffic control methods. The proposed methods are tested on an isolated intersection. In this study, real field-collected data obtained from three, four, and five approaches intersections in Kilis/Turkey are used to test the performance of the proposed methods. In addition, to examine the efficiency of the proposed techniques at heavy demands, the arbitrary demands are generated by SUMO for a four approaches intersection. The obtained simulation results indicate that the proposed methods overperform the fixed time and fuzzy logic-based traffic control methods in terms of average vehicular delay, speed, and travel time.
Highlights
Since the beginning of the last century, traffic signal control systems have received worldwide attention due to the daily increase in the number of vehicles
We proposed an adaptive traffic control based on fuzzy logic with Webster and modified Webster optimal cycle time
Fuzzy logic is the extraction of the results values by using the help of certain mathematical functions depending on each rule, by using the experience of the people, by processing the values obtained with certain algorithms
Summary
Since the beginning of the last century, traffic signal control systems have received worldwide attention due to the daily increase in the number of vehicles. The most of proposed pure fuzzy logic traffic control methods are based on vehicles waiting in the queues and change both the phase lengths and the phase sequences adaptively to the traffic situation. The obtained result shows the outperformance of the proposed system as compared to fixed time control Another two-stage fuzzy logic-based traffic signal control is proposed in [15]. It aims to reduce the average vehicular waiting time at the isolated intersection. Based on the simulation result, the proposed method over performs the optimal fixed time and the four-phase DP. The comparison was performed based on the simulation model and the obtained results indicate the superiority of the algorithm as compared to a fixed time and the longest queue first algorithm. The proposed algorithms were compared to the conventional fixed time approach
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
