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Performance Evaluation of Dijkstra and A* Traffic Routing Algorithms in Smart Cities

机译:智能城市中Dijkstra和A *交通路由算法的性能评估

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As the urban population grew and the dependence on transport increased, several urban problems emerged in the cities, including traffic problems such as traffic congestion, high levels of pollution, increased mobility time and traffic accidents. There are traditional methods solved these problems, such as creat new or expanding existing roads to ease congestion, giving a short-term solution, adversely affecting the environment, and attracting increased traffic for vehicles within cities. In this paper, we conduct performance evaluation and compare two vehicle routing algorithms based on realistic transfer simulations. By doing so, we can identify the best routing algorithm for use in transportation in Kassala city, in order to provide a reference to the management of traffic, researchers and others. The results show that the Dijkstra algorithm is better than A* algorithm based on the evaluation criteria used in the research, namely, mean travel time, mean speed, mean waiting time, and mean CO2 emissions.
机译:随着城市人口的增长和对交通的依赖的增加,城市中出现了一些城市问题,包括交通问题,例如交通拥堵,高污染水平,增加的出行时间和交通事故。有传统的方法可以解决这些问题,例如新建或扩建现有道路以缓解拥堵,提供短期解决方案,对环境造成不利影响以及吸引城市内车辆通行的情况。在本文中,我们进行了性能评估,并基于实际的传递仿真比较了两种车辆路径选择算法。这样,我们可以确定在喀萨拉市交通中使用的最佳路由算法,以便为交通,研究人员和其他人员的管理提供参考。结果表明,基于研究中使用的评估标准,即平均行驶时间,平均速度,平均等待时间和平均CO2排放量,Dijkstra算法优于A *算法。

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