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Genetic Algorithm's Application in Bus Dispatch Optimization

机译:遗传算法在公交调度优化中的应用

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With the swift development of our social economy, the transportation problems of our cities have become more and more serious. The public traffic with large capacity, low energy consumption, and low pollution have been placed on the agenda. To develop public traffic is a way to solve transportation problems of our cities. And an effective Bus Dispatch is necessary for an advanced bus system.Thus, the research of the bus dispatch is important for the improvement of bus dispatch management level.Above all, the bus dispatch mainly influences the passengers' satisfaction and bus company's interests. In order to evaluate the bus dispatch scheme, we should ascertain the evaluation indicators for passengers' satisfaction and bus company's interests.Secondly, we should quantify the evaluation indicators as their different units. Then, we could construct a multiple objective programming model, containing passengers' and bus company's satisfaction, in accordance with the evaluation indicators' weight.Finally, we solve the multiple objective programming models by utilizing Genetic Algorithm. Then we could compare the total satisfaction for passengers and the bus company between the before and after optimization based on some certain cities' data.
机译:随着社会经济的飞速发展,城市交通问题日益严重。大容量,低能耗,低污染的公共交通已被提上议事日程。发展公共交通是解决我们城市交通问题的一种方式。先进的公交系统必须有一个有效的公交调度系统。因此,对公交调度系统的研究对于提高公交调度系统的管理水平至关重要。首先,公交调度系统主要影响乘客的满意度和公交公司的利益。为了评价公交调度方案,应确定乘客满意度和公交公司利益的评价指标;其次,将评价指标量化为不同的单位。然后,根据评价指标的权重,建立包含乘客和公交公司满意度的多目标规划模型。最后,利用遗传算法求解了多目标规划模型。然后,我们可以根据某些城市的数据比较优化前后的乘客和公交公司的总体满意度。

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