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A multi-period asymmetric transit frequency design problem
Transportation Research Part E: Logistics and Transportation Review ( IF 8.3 ) Pub Date : 2025-01-19 , DOI: 10.1016/j.tre.2024.103886
J. Gong, W.Y. Szeto, S. Sun
Transportation Research Part E: Logistics and Transportation Review ( IF 8.3 ) Pub Date : 2025-01-19 , DOI: 10.1016/j.tre.2024.103886
J. Gong, W.Y. Szeto, S. Sun
Transit frequency design is critical in determining the performance of public transit services. In the literature, single-period frequency design is often considered but ignores the demand variation over time of day. Moreover, in high-demand bus networks, the demand patterns are asymmetric in both directions of some bus routes. This study investigates a bus operation strategy to address these two issues. In this strategy, for each route, a class of buses serves both directions while the other class only serves one direction with high travel demand, leading to the two directions having different frequencies. A bilevel optimization problem is formulated for this strategy. The upper level problem is a multi-period asymmetric transit frequency design problem, which aims to determine the route frequencies of different classes of buses associated with each period to maximize the operating profit or social welfare. This upper level problem also considers deadhead trips between the bus depot and terminals or between terminals of different routes across periods. The lower level problem is a schedule-based user equilibrium transit assignment problem, taking elastic demand, the common line choice of passengers, and capacity constraints into account. A hybrid algorithm combining an enhanced artificial bee colony algorithm with the method of successive averages is proposed to tackle the bilevel optimization problem and then applied to the study of the Tin Shui Wai bus network to demonstrate the model properties. The effectiveness of the proposed algorithm is also examined. The results indicate that the proposed algorithm can produce better solutions compared with the modified hybrid genetic algorithm. Moreover, the proposed multi-period asymmetric design outperforms the existing design, which can achieve less passenger travel time and greater demand satisfaction, operating profit, and social welfare.
中文翻译:
多周期非对称传输频率设计问题
公交频率设计对于确定公共交通服务的性能至关重要。在文献中,经常考虑单周期频率设计,但忽略了一天中某个时间的需求变化。此外,在高需求公交网络中,某些公交路线的需求模式在两个方向上都是不对称的。本研究调查了解决这两个问题的公交运营策略。在此策略中,对于每条路径,一类公交车服务于两个方向,而另一类公交车仅服务于行驶需求较高的一个方向,从而导致两个方向的频率不同。为此策略制定了一个双层优化问题。上层问题是多周期不对称公交频率设计问题,旨在确定与每个周期相关联的不同类别公交的路线频率,以实现营业利润或社会福利的最大化。这个上层问题还考虑了公交车站和终点站之间或跨时期不同路线的终点站之间的空头行程。较低级别的问题是基于时间表的用户均衡公交分配问题,考虑了弹性需求、乘客的共同线路选择和容量限制。提出了一种将增强型人工蜂群算法与连续平均方法相结合的混合算法来解决双层优化问题,并将其应用于天水围公交网络的研究,以验证模型特性。还检查了所提出的算法的有效性。结果表明,与改进的杂交遗传算法相比,所提算法可以产生更好的解。 此外,所提出的多周期非对称设计优于现有设计,可以实现更少的乘客出行时间和更高的需求满意度、营业利润和社会福利。
更新日期:2025-01-19
中文翻译:
![](https://scdn.x-mol.com/jcss/images/paperTranslation.png)
多周期非对称传输频率设计问题
公交频率设计对于确定公共交通服务的性能至关重要。在文献中,经常考虑单周期频率设计,但忽略了一天中某个时间的需求变化。此外,在高需求公交网络中,某些公交路线的需求模式在两个方向上都是不对称的。本研究调查了解决这两个问题的公交运营策略。在此策略中,对于每条路径,一类公交车服务于两个方向,而另一类公交车仅服务于行驶需求较高的一个方向,从而导致两个方向的频率不同。为此策略制定了一个双层优化问题。上层问题是多周期不对称公交频率设计问题,旨在确定与每个周期相关联的不同类别公交的路线频率,以实现营业利润或社会福利的最大化。这个上层问题还考虑了公交车站和终点站之间或跨时期不同路线的终点站之间的空头行程。较低级别的问题是基于时间表的用户均衡公交分配问题,考虑了弹性需求、乘客的共同线路选择和容量限制。提出了一种将增强型人工蜂群算法与连续平均方法相结合的混合算法来解决双层优化问题,并将其应用于天水围公交网络的研究,以验证模型特性。还检查了所提出的算法的有效性。结果表明,与改进的杂交遗传算法相比,所提算法可以产生更好的解。 此外,所提出的多周期非对称设计优于现有设计,可以实现更少的乘客出行时间和更高的需求满意度、营业利润和社会福利。