保持等待时间以保持近乎常规的前进路线,并减少实时公共汽车捆绑时间
Citlali M Olvera-Toscano1, Yasmín Á Ríos-Solís2, Roger Z Ríos-Mercado1
1Graduate Program in Systems Engineering, Universidad Autonoma de Nuevo Leon, Av. Universidad s/n, 66455 San Nicolas de los Garza, NL Mexico.
概括
这项研究引入了公共汽车停留时间,以减少公共汽车在实时运输控制中的拥挤. 优化策略减少了45%的公共汽车捆绑,乘客等待时间减少了30%.
科学领域:
- 运营研究 运营研究
- 运输工程 运输工程
- 应用数学 应用数学 应用数学
背景情况:
- 公共汽车快速运输 (BRT) 系统面临实时运营挑战,包括公共汽车捆绑.
- 尽量减少头到尾巴的距离和同时到达的距离对于服务效率至关重要.
研究的目的:
- 开发和评估BRT系统的新控制策略,以减轻公共汽车集群.
- 通过优化巴士停留时间,最大限度地减少巴士捆绑处罚,并改善乘客体验.
主要方法:
- 制定了一个新的数学模型,使用二次制约和线性目标函数来确定最佳的公共汽车停留时间.
- 开发了一种光束搜索启发式,以有效地解决优化问题的大规模实例.
主要成果:
- 与未经优化场景相比,模拟显示,与非优化场景相比,公共汽车捆绑减少了45%.
- 在特定的模拟条件下,乘客等待时间减少了高达30%.
- 在真实世界的实例中,光束搜索启发式在不到3秒的时间内实现了<5%的最佳差距的解决方案.
结论:
- 实施巴士停留时间是BRT系统有效的实时控制策略.
- 拟议的数学模型和启发式方法提供了一种计算效率高的方法,以减少公共汽车捆绑并提高交通服务质量.
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