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Application of Dijkstra Algorithm to Proposed Tramway of a Potential World Class University

机译:Dijkstra算法在潜在世界一流大学拟建电车中的应用

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Nowadays, the development of “smart cities” with a high level of quality of life is becoming a prior challenge to be addressed. In this paper, promoting the model shift in railway transportation using tram network towards more reliable, greener and in general more sustainable transportation modes in a potential world class university is proposed. “Smart mobility” in a smart city will significantly contribute to achieving the goal of a university becoming a world class university. In order to have a regular and reliable rail system on campus, we optimize the route among major stations on campus, using shortest path problem Dijkstra algorithm in conjunction with a computer software called LINDO to arrive at the optimal route. In particular, it is observed that the shortest path from the main entrance gate (Canaan land entrance gate) to the Electrical Engineering Department is of distance 0.805 km.
机译:如今,发展具有高生活质量的“智慧城市”正成为需要解决的先决挑战。本文提出了在有潜力的世界一流大学中,通过有轨电车网络促进铁路运输的模式转变,向更可靠,更绿色,通常更可持续的交通方式发展。智慧城市中的“智慧出行”将为实现大学成为世界一流大学的目标做出重大贡献。为了在校园中建立规则而可靠的铁路系统,我们使用最短路径问题Dijkstra算法结合称为LINDO的计算机软件来优化校园中主要车站之间的路线,以得出最佳路线。特别是,观察到从主入口门(Canaan地面入口门)到电气工程部门的最短路径为0.805 km。

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