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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, particularly when we take drivers' individual preferences into consideration. In this paper, we first establish a hybrid intelligent transportation system (ITS),...
As the number of vehicles increases significantly, traffic congestion has become a major social problem in recent years. Such a situation can be alleviated effectively with the emerging of vehicular ad hoc network (VANET)-based real-time path planning systems. However, existing systems face the challenges of poor anti-congestion capability and high complexity. To address the related issues, an road...
Real-time path planning is one of emergent approaches which efficiently reduce traffic jam in urban scenarios. Designing an efficient path planning strategy to achieve optimal vehicle-traffic flow control still remains a challenging problem, especially when we take human's uncooperative and uncoordinated selfish behaviors into consideration. In this paper, we first introduce an intelligent transportation...
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