Smart Traffic Control System: A Review
Shimelis Berihe
Department of Civil Engineering, School of Engineering & Technology, Sharda University, Greater Noida, U.P, , IN
Akash Aman
Department of Civil Engineering, School of Engineering & Technology, Sharda University, Greater Noida, U.P, , IN
Mohd Sameer
Department of Civil Engineering, School of Engineering & Technology, Sharda University, Greater Noida, U.P, , IN
Sujeet Kumar
Department of Civil Engineering, School of Engineering & Technology, Sharda University, Greater Noida, U.P, , IN
Mohammad Sartullah
Department of Civil Engineering, School of Engineering & Technology, Sharda University, Greater Noida, U.P, , IN
Gaurav Saini
Department of Civil Engineering, School of Engineering & Technology, Sharda University, Greater Noida, U.P, , IN
Keywords: smart traffic control, congestion, vehicle to vehicle, vehicle to infrastructure
Abstract
As traffic congestion becomes a huge problem for most developing and developed countries across the
world, intelligent transportation systems (ITS) are becoming a hot topic that is attracting the attention of researchers
and the general public alike. In this paper, we demonstrate a specific implementation of it's a system whereby traffic
lights are actuated by DSRC radios installed in vehicles. That this system can reduce travel time and commute time
significantly, especially during rush hours. therefore, propose a vehicle-to-infrastructure (V2I) communication
solution extending by introducing a collision-free MAC phase with an enhanced prioritization mechanism based on
vehicle positions and the overall road traffic density. A roadside unit using a polling mechanism is then able to
provide real-time support such that it can guarantee collision-free channel access within its transmission range. Part
of the bandwidth remains unchanged such that best-effort services like ongoing vehicle-to-vehicle (V2V) applications
may continue. Our solution guarantees that all communication deadlines of the V2I applications are met while
minimizing the required length of the collision-free phase. This, in turn, maximizes the amount of bandwidth
available for best-effort services and ongoing V2V applications. The position-based prioritization mechanism further
improves the throughput of both real-time and best-effort data traffic by focusing the communication resources to the
most hazardous areas.
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