定期优化公共汽车调度时间和车辆时间表,考虑到COVID-19容量限制:一项荷兰案例研究
Konstantinos Gkiotsalitis1, Tao Liu2
1Department of Civil Engineering, University of Twente, Enschede, Netherlands.
Transportation research record
|April 11, 2024
概括
这项研究优化了公共汽车调度时间,以在COVID-19大流行期间管理波动的乘客需求和旅行时间. 该模型尽量减少车辆使用,同时确保遵守容量限制,防止公共交通过度拥挤.
科学领域:
- 运营研究 运营研究
- 运输科学 运输科学
- 公共卫生 公共卫生
背景情况:
- 随着COVID-19大流行,公共交通受到严重影响,导致乘客数量减少,并且矛盾的是,由于容量限制,一些路线上出现过度拥挤.
- 公共交通服务提供者在卫生危机期间保持安全的乘客数量至关重要.
研究的目的:
- 为公交车调度时间开发一个优化模型,以适应旅行时间和乘客需求的实时变化.
- 尽量减少服务所需的车辆数量,同时严格遵守COVID-19容量限制.
主要方法:
- 采用了一个周期性滚动地平线优化框架.
- 制定了一个混合整数线性编程模型来调整车辆时间表.
- 该模型结合了旅行时间和乘客需求的动态变化.
主要成果:
- 该模型成功地展示了通过重新安排巴士调度时间和车辆时间表来实现潜在的收益.
- 在Twente地区的公共汽车2号线上的案例研究证实了该模型的有效性.
- 优化方法有助于防止车辆拥挤超出大流行所规定的限制.
结论:
- 拟议的优化模型为公共交通提供商提供了一种可行的解决方案,以在疫情期间管理运营挑战.
- 定期调度有效地平衡了服务需求与容量限制.
- 该研究强调了适应性调度在保持安全和高效的公共交通运营中的重要性.
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