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首页> 外文会议>2015 IEEE Symposium on Computer Applications amp; 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：用于电动火车服务的接驳巴士路线的蚁群优化

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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：引入电动火车服务（ETS）是在怡保和吉隆坡之间的一种更快，更安全，更绿色，更可靠的公共交通方式。这项服务在造福社会和国家方面具有巨大的潜力。但是，影响ETS有效性的一个重要问题是缺乏有效的馈线总线系统。本文提出了一项研究，以利用蚁群优化（ACO）技术设计一种高效的接驳巴士路线。设计目标函数，以便优化的路线应提供最广泛的服务范围，最高的运营利润，最短的总行驶时间并满足最高的需求。出于本研究的目的和目的，霹雳州怡保ETS站被选为案例研究。从仿真中获得的结果表明，使用ACO解决路线优化问题可以产生覆盖范围广的路线，从而提供高效高效的接驳巴士服务。

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