Real-Time Path Planning Based on Hybrid-VANET-Enhanced Transportation System

Real-Time Path Planning Based on Hybrid-VANET-Enhanced Transportation System

Real-Time Path Planning Based on Hybrid-VANET-Enhanced Transportation System

Real-time path planning can efficiently relieve traffic congestion in urban scenarios. However, how to design an efficient path planning algorithm to achieve a globally optimal vehicle traffic control still remains a challenging problem, especially when we take drivers’ individual preferences into consideration. A hybrid intelligent transportation system (ITS) is established, i.e., a hybrid VANET enhanced ITS, which utilizes both vehicular adhoc networks (VANETs) and cellular systems of the public transportation system to enable real-time communications among vehicles, road-side units (RSUs), and a vehicle-traffic server in an efficient way. Then, we propose a real-time path planning algorithm, which not only improves the overall spatial utilization of a road network but also reduces average vehicle travel cost for avoiding vehicles from getting stuck in congestion. Stochastic Lyapunov optimization technique is exploited to address the globally optimal path planning problem. Finally, the transmission delay of the hybrid VANET enhanced ITS is evaluated in VISSIM to show the timeliness of the proposed communication framework. Besides, system-level simulations conducted in Java demonstrate that the proposed path planning algorithm outperforms the traditional distributed path planning in terms of balancing the spatial utilization and drivers’ travel cost.

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