Smart Intersection Design for Traffic, Pedestrian and Emergency Transit Clearance using Fuzzy Inference System

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.

@article{Agrawal2021,
  title     = {Smart Intersection Design for Traffic, Pedestrian and Emergency Transit Clearance using Fuzzy Inference System},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {12},
  number    = {3},
  year      = {2021},
  publisher = {The Science and Information Organization},
  author    = {Aditi Agrawal and Rajeev Paulus},
  doi       = {10.14569/IJACSA.2021.0120362},
  url       = {https://doi.org/10.14569/IJACSA.2021.0120362}
}