CCITL: A cloud‐based smart traffic management protocol using intelligent traffic light system in VANETs

Abstract

Road congestion and traffic jams are serious problems for drivers, causing them more delay in reaching their destinations. Motivated by these considerations, this article proposes an intelligent scheduling algorithm based on vehicular ad hoc networks (VANETs) and Cloud computing to schedule traffic lights to smooth road traffic and reduce waiting time on the road, called CCITL (cloud computing based intelligent traffic light protocol). In CCITL, we involve cloud computing by using conventional and vehicular clouds to have a global view of the road network and take advantage of the cloud computing capabilities to calculate the most appropriate traffic signal formulas and combinations with their phase durations in a dynamic way. This allows to ensure the fluidity of the traffic and the arrival at the destination in a short time while minimizing the waiting time on the different segments of the road network. Our proposed protocol has been developed and evaluated over OMNET++ simulator with the simulator of urban mobility (SUMO). The simulation results showed that CCITL greatly contributed to the alleviation of traffic congestion as well as to the reduction of the dwell time of vehicles in the different segments, thus reducing delays and waiting in intersections.

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“…Some studies have implemented specialized sensors and hardware for this purpose [7,9], while others have applied principles of artificial intelligence to devise their solutions [10,11]. Certain research in the field has even embraced cloud computing technologies [12,13]. The ultimate objective of these intelligent traffic light control systems is to improve the fluidity of traffic flow across the road network, primarily by minimizing the waiting delay time at signalized intersections.…”

“…The domain of Traffic Light Control (TLC) system's requirements elicitation was achieved through the study of relevant current research [6][7][8][9][10][11][12][13][14][15][16][36][37][38][39][40][41]. Moreover, requirements elicitation of CATLS was achieved through the research works [42][43][44][45][46][47][48][49][50][51][52][53].…”