Performance Analysis of Stop-Skipping Scheduling Plans in Rail Transit under Time-Dependent Demand
Bibliographic Data
| ID | 15511303 |
|---|---|
| Authors | Zhichao Cao (0000-0002-7815-3889, Beijing Jiaotong University, corresponding author), Zhenzhou Yuan (0000-0002-4379-3384, Beijing Jiaotong University), Silin Zhang (0000-0001-8624-5305, Beijing Jiaotong University) |
| Year | 2016 |
| Volume | 13 |
| Issue | 7 |
| Pages | 707-707 |
| Publication date | 2016-07-13 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph13070707 |
| PMID | 27420087 |
| OpenAlex | W2461755020 |
| Language | EN |
| Citations received | 1 |
| References cited | 18 |
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
Algorithm · Computer security · Context (archaeology · Integer programming · Key (lock · Mathematical optimization · Operations research · Schedule · Scheduling (production processes · Aviation Industry Analysis and Trends · Computer Science · Engineering · Mathematics · Railway Systems and Energy Efficiency · Transportation Planning and Optimization
| Citations per year | 0.14 |
|---|---|
| Citation span | 2019 - 2019 (1) |
| Highly cited | No |