Abstract
Traffic flow is regulated and controlled with the aid of traffic signals implemented at all major intersections in urban areas. With the increase in vehicles, the traditional control strategies are incapable of clearing heavy traffic which leads to long traffic queues and prolonged waiting time at intersections. Smart cities are increasingly adopting solutions by developing smart traffic lights to improve the flow of vehicles. A major demand arises to increase the efficiency of traffic controllers with the objective to minimize traffic congestion, prioritize emergency transit and give way to pedestrians to cross the lanes at an intersection. This requires leveraging the existing techniques that identify the best solutions at the lowest possible cost. This paper proposes Fuzzy Adaptive Control System (FACS) that uses fuzzy logic to decide the phase sequence and green-time for each lane based on sensed input parameters. It is designed with an aim to improve traffic clearance at isolated intersection especially in peak traffic hours of the day along with giving precedence to emergency vehicle as soon as it is detected and also assist pedestrian passage thus reducing their waiting time at the intersection. Performance of the proposed Fuzzy Adaptive Control System (FACS) is evaluated through simulations and compared with Pre-Timed Control System (PTCS) and Traffic Density-based Control System (TDCS) at a busy intersection with lanes leading to offices, schools and hospitals. Simulation results show significant improvement over PTCS and TDCS in terms of traffic clearance, immediate addressing of the emergency vehicle and giving preference to pedestrian passage at the intersection.
Highlights
Traffic signals are installed at road intersections and play a major role to control the traffic flow and avoid congestion
This paper proposes an integrated design of Fuzzy Adaptive Control System (FACS) with an objective of reducing congestion, prioritizing emergency transit and giving way to pedestrians reducing their waiting time at the intersection
Performance analysis is done on the basis of percentage of vehicles left on a lane, number of times emergency vehicle is addressed and prioritized for clearance and on the basis of giving way to pedestrians with the maximum wait time to cross the lane
Summary
Traffic signals are installed at road intersections and play a major role to control the traffic flow and avoid congestion. The designed fuzzy logic controller used inputs as queue length and waiting time of vehicles, decided using the rule base for the output variable green-time This traffic light system followed the fixed phase sequence and only altered the green time of the lanes. This paper proposes an integrated design of Fuzzy Adaptive Control System (FACS) with an objective of reducing congestion, prioritizing emergency transit and giving way to pedestrians reducing their waiting time at the intersection Another feature of the designed system is that the design makes use of a single controller with four fuzzified inputs and two fuzzified outputs and an optimized rule base. To evaluate the performance of proposed FACS a realistic traffic model is used to obtain traffic variation for 24 hours of the day at a busy intersection
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