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Coalition Game for Emergency Vehicles Re-Routing in Smart Cities

机译:紧急车辆的联盟游戏在智能城市重新路由

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Traffic jam is considered as a difficult problem to deal with in many cities around the world due to the continuously increasing number of vehicles compared to the available infrastructure. Traffic congestion significantly influences drivers travel journey, fuel consumption and air pollution. However, the most important factor has affected the delay of emergency vehicles, such as ambulances and police cars, leading to increased road deaths and significant financial losses. To reduce this problem, we propose an advanced traffic control allows rapid emergency services response in smart cities. This can be achieved through a traffic management system capable of implementing path planning in road network monitoring and driving the emergency vehicle in the best possible way to reach the hazard zone. The performance of the proposed algorithm is compared with two other algorithms over Birmingham city centre test scenarios. Simulation results show that the proposed approach improves traffic efficiency of emergency vehicles by an overall average of 21.78%, 29.32%, 32.79% and 46.77% in terms of travel time, fuel consumption, CO2emission and average speed, respectively.
机译:由于与可用基础设施相比,由于车辆数量不断增加,交通堵塞被视为在世界各地的许多城市中处理难题。交通拥堵显着影响驾驶员旅游旅行,燃料消耗和空气污染。然而,最重要的因素影响了紧急车辆的延迟,例如救护车和警车,导致道路死亡增加和重大的经济损失。为了减少这个问题,我们提出了先进的交通管制,允许智能城市的快速紧急服务响应。这可以通过能够在道路网络监控和驾驶应急车辆以最佳方式到达危险区的路径规划的流量管理系统来实现。将所提出的算法的性能与伯明翰市中心测试场景的另外两种算法进行了比较。仿真结果表明,在旅行时间,燃料消耗,有限公司方面,拟议的方法通过21.78 %,29.32 %,32.79 %和46.77 %提高了应急车辆的交通效率。 2 发射和平均速度。

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