Cao Zhichao, Yuan Zhenzhou, Zhang Silin
Ministry of Education (MOE) Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China.
Int J Environ Res Public Health. 2016 Jul 13;13(7):707. doi: 10.3390/ijerph13070707.
Stop-skipping is a key method for alleviating congestion in rail transit, where schedules are sometimes difficult to implement. Several mechanisms have been proposed and analyzed in the literature, but very few performance comparisons are available. This study formulated train choice behavior estimation into the model considering passengers' perception. If a passenger's train path can be identified, this information would be useful for improving the stop-skipping schedule service. Multi-performance is a key characteristic of our proposed five stop-skipping schedules, but quantified analysis can be used to illustrate the different effects of well-known deterministic and stochastic forms. Problems in the novel category of forms were justified in the context of a single line rather than transit network. We analyzed four deterministic forms based on the well-known A/B stop-skipping operating strategy. A stochastic form was innovatively modeled as a binary integer programming problem. We present a performance analysis of our proposed model to demonstrate that stop-skipping can feasibly be used to improve the service of passengers and enhance the elasticity of train operations under demand variations along with an explicit parametric discussion.
越站是缓解轨道交通拥堵的关键方法，而列车时刻表有时难以实施。文献中已经提出并分析了几种机制，但性能比较却很少。本研究将列车选择行为估计纳入考虑乘客感知的模型中。如果能够识别乘客的列车路径，该信息将有助于改善越站时刻表服务。多性能是我们提出的五种越站时刻表的关键特征，但量化分析可用于说明著名的确定性和随机形式的不同效果。新型形式的问题是在单线而非公交网络的背景下进行论证的。我们基于著名的A/B越站运营策略分析了四种确定性形式。一种随机形式被创新性地建模为一个二元整数规划问题。我们对所提出的模型进行了性能分析，以证明越站可切实用于改善乘客服务，并在需求变化时提高列车运营的弹性，同时进行明确的参数讨论。
