Genetic Algorithm-Based Particle Swarm Optimization Approach to Reschedule High-Speed Railway Timetables: A Case Study in China Article Swipe
Mingming Wang
,
Li Wang
,
Xinyue Xu
,
Yong Qin
,
Lingqiao Qin
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1155/2019/6090742
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1155/2019/6090742
In this study, a mixed integer programming model is proposed to address timetable rescheduling problem under primary delays. The model considers timetable rescheduling strategies such as retiming, reordering, and adjusting stop pattern. A genetic algorithm-based particle swarm optimization algorithm is developed where position vector and genetic evolution operators are reconstructed based on departure and arrival time of each train at stations. Finally, a numerical experiment of Beijing-Shanghai high-speed railway corridor is implemented to test the proposed model and algorithm. The results show that the objective value of proposed method is decreased by 15.6%, 48.8%, and 25.7% compared with the first-come-first-service strategy, the first-schedule-first-service strategy, and the particle swarm optimization, respectively. The gap between the best solution obtained by the proposed method and the optimum solution computed by CPLEX solver is around 19.6%. All delay cases are addressed within acceptable time (within 1.5 min). Moreover, the case study gives insight into the correlation between delay propagation and headway. The primary delays occur in high-density period (scheduled headway closes to the minimum headway), which results in a great delay propagation.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2019/6090742
- https://downloads.hindawi.com/journals/jat/2019/6090742.pdf
- OA Status
- gold
- Cited By
- 42
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2924893847
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2924893847Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1155/2019/6090742Digital Object Identifier
- Title
-
Genetic Algorithm-Based Particle Swarm Optimization Approach to Reschedule High-Speed Railway Timetables: A Case Study in ChinaWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-03-20Full publication date if available
- Authors
-
Mingming Wang, Li Wang, Xinyue Xu, Yong Qin, Lingqiao QinList of authors in order
- Landing page
-
https://doi.org/10.1155/2019/6090742Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/jat/2019/6090742.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://downloads.hindawi.com/journals/jat/2019/6090742.pdfDirect OA link when available
- Concepts
-
Headway, Particle swarm optimization, Genetic algorithm, Solver, Schedule, Mathematical optimization, Computer science, Algorithm, Simulation, Mathematics, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
42Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 6, 2024: 10, 2023: 7, 2022: 9, 2021: 3Per-year citation counts (last 5 years)
- References (count)
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38Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| primary_location.is_published | True |
| primary_location.raw_source_name | Journal of Advanced Transportation |
| primary_location.landing_page_url | https://doi.org/10.1155/2019/6090742 |
| publication_date | 2019-03-20 |
| publication_year | 2019 |
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