基于乘客到站率的公交发车频率优化
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李悦超(1996—),男,硕士研究生,研究方向为交通运输规划与管理。E-mail:liyuechao188@163.com。

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U491

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国家自然科学基金项目(71801080);江苏省博士后科研资助计划(2018K043B);中央高校基本科研业务费专项资金资助(B200202068)


Optimization of Bus Departure Frequency Based on Passenger Arrival Rate
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    摘要:

    常规公共交通是城市居民出行的基本交通方式之一,为保障公交出行效率和降低运营成本,有必要对公交车辆的运营调度进行量化分析和系统研究。 文中以居民出行和公交公司运营两者总成本最小为目标,提出了基于乘客到站率的多目标公交发车频率优化模型,以实现乘客和运营者双方的利益最大化。 利用乘客到站率函数计算乘客的等车时间,使得模型在优化计算中具有更加趋近真实的等车时间;考虑到遗传算法良好的收敛性,以及发车频率易于二进制化编码的特征,文中设计相应的遗传算法对上述模型进行求解;以常州市 B1 路公交车线路高峰时段为例进行求解,得到最优发车频率为 13.9 ,与三类经典发车频率确定方法进行对比分析,结果显示该模型的总成本相较于其他三种方法分别降低 18.1 %、1.5 %、1.2 %。 以上研究结论表明,研究提出的发车频率模型通过协调乘客的等车时间成本、车内拥挤成本与公交运营的车辆购置成本、燃油成本,能够有效减少公交出行的整体成本。

    Abstract:

    Conventional public transportation is one of the basic modes of transportation for urban residents. In order to ensure the efficiency of public transportation and reduce operating costs, it is necessary to perform quantitative analysis and systematic research on the operation of buses. In this paper, in order to minimize the total cost of passengers and bus company operations, a multi-objective bus departure frequency optimization model based on passenger arrival rate is proposed to maximize the benefits of both passengers and operators. The function of passenger arrival rate was used to calculate the passenger waiting time, which could lead to a more realistic waiting time in the optimization calculation. Considering the good convergence of the genetic algorithm and the easy-to-binary encoding of departure frequency, the algorithm of this model was designed based on genetic algorithm. Taking Changzhou Bus Line B1 during the peak time as an example, the optimal departure frequency was 13.9 times per hour. Compared with the other three classic departure frequency determination methods, the total cost of this model was reduced by 18.1%, 1.5%, 1.2%. The results show that the departure frequency model proposed can effectively reduce the overall cost of bus travel by coordinating the waiting time cost of passengers, in-vehicle congestion cost and vehicle purchase cost, fuel cost of bus operation.

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李悦超,杨海飞,郑长江.基于乘客到站率的公交发车频率优化[J].华东交通大学学报,2021,37(1):54-60.

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  • 在线发布日期: 2021-04-23
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