Bus Fare Classification with Genetic Algorithm
Bus Fare Classification with Genetic Algorithm
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发表时间：
2012
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通讯作者：
Yang Zhen
中科院分区：
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作者：
Yang Zhen
合理的票价分类策略往往能使公交乘客和运营商实现“双赢”，为实现这一点，通过SP调查收集乘客的选择信息，运用统计分析方法，确定了影响广义成本的关键因素，建立了广义成本函数，并提出了基于双参数的票价分级方法。以广义费用最大化和运营利益最大化为最终目标，建立了层次规划模型，并采用遗传算法进行求解，并以济南市公交2号线为例，验证了模型的合理性，结果表明，该模型不仅能提高巴士乘客的一般成本，但经营者的利益。
A reasonable fare classification strategy can often make the bus passengers and operators achieve a "win-win" situation.To realize that,the information of passenger choice is collected by a SP survey,the key factors affecting the generalized cost are identifited and the function of the generalized cost is formulated by the statistical analysis method.Then a method of fare classification based on the bi-level programming model is developed by taking the maximum generalized cost and maximum interests of operation as the ultimate goal.The model is solved by the genetic algorithm,and the bus line 2 in Jinan city of China is taken as an example to verify the rationality of the model.The result shows the model can raise not only the generalized cost of the bus passenger but the interest of the operators.