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首页> 外文会议>2015 IEEE Symposium on Computer Applications Industrial Electronics >Ant Colony Optimization of feeder bus routes for electric train service
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Ant Colony Optimization of feeder bus routes for electric train service

机译：蚂蚁殖民地优化电动列车服务的送料总线路线

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The Electric Train Service (ETS) was introduced as a faster, safer, greener and more reliable mode of public transportation between the major cities of Ipoh and Kuala Lumpur. This service holds great potential in benefitting the society and the nation. A significant issue which affects the effectiveness of the ETS however, is the absence of an efficient feeder bus system. This paper presents a research to design a efficient and effective feeder bus route using the Ant Colony Optimization (ACO) technique. The objective function is designed such that the optimized route should provide the broadest service coverage, highest operation profit, shortest total travel time, and meet the highest demand. For the intents and purposes of this research, the Ipoh, Perak ETS station has been selected as a case study. The results obtained from simulations show that solving the route optimization problem using ACO can yield a wide coverage route which provides highly efficient and effective feeder bus service.
机译：电动列车服务（ETS）被引入为怡保和吉隆坡的主要城市之间的更快，更安全，更环保，更可靠的公共交通方式。这项服务持有巨大潜力，使社会和国家受益。然而，影响ETS的有效性的重要问题是没有高效的馈线总线系统。本文介绍了使用蚁群优化（ACO）技术设计高效且有效的馈线总线路线的研究。客观函数旨在使优化的路线应提供最广泛的服务覆盖，最高运营利润，最短的总旅行时间，并满足最高需求。对于本研究的意图和目的，已选择IPOH，霹雳州ETS站是个案研究。从模拟中获得的结果表明，使用ACO解决路由优化问题可以产生宽的覆盖路线，提供高效且有效的馈线总线服务。

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