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

机译:Dijkstra的性能评估和智能城市中的A *流量路由算法

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摘要

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:随着城市人口增长和对运输的依赖,城市出现了几个城市问题,包括交通拥堵,污染水平高,流动时间和交通事故等交通问题。有传统的方法解决了这些问题,例如创造新的或扩大现有道路,以缓解拥堵,给出短期解决方案,对环境产生不利影响,并吸引城市内车辆的增加的流量。在本文中,我们进行性能评估,并基于现实转移模拟比较了两个车辆路由算法。通过这样做,我们可以识别在卡萨拉市的交通运输中使用的最佳路由算法,以便对交通,研究人员和其他人的管理提供参考。结果表明,基于研究中使用的评估标准,Dijkstra算法优于A *算法,即平均行程时间,平均速度,平均等待时间和平均二氧化碳排放。

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