Timetable Optimization is a computational method in transit operations research that determines the most efficient passenger train or vehicle schedules by minimizing delays, maximizing service reliability, and balancing resource utilization under operational and demand constraints.
453
Publications
23.3K
Citations
1.1K
Authors
383
Institutions
Publications per year
2017–2026
207
Variants
Transit Scheduling Optimization
Parents
Publications
453
1–5 of 453
Authors
1.1K
- ZG
23
h-index
- LY
21
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- JW
18
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- HS
16
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- XY
16
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1–5 of 1.1K
Institutions
383
Beijing Jiaotong University
Beijing, China
46 h-index
401 publications
25K citations
Delft University of Technology
Delft, The Netherlands
15 h-index
32 publications
2.4K citations
Southwest Jiaotong University
Chengdu, China
14 h-index
46 publications
1.8K citations
Technical University of Denmark
Kongens Lyngby, Denmark
12 h-index
24 publications
1.5K citations
University of Auckland
Auckland, New Zealand
12 h-index
21 publications
860 citations
Tongji University
Shanghai, China
11 h-index
21 publications
927 citations
Ministry of Transport
Beijing, China
11 h-index
27 publications
742 citations
Erasmus University Rotterdam
Rotterdam, The Netherlands
10 h-index
28 publications
1.3K citations
1–8 of 383
Venues
- Transportation Research Part B Methodological
36 publications · 3.3K citations
31
h-index
- Transportation Research Part C Emerging Technologies
28 publications · 2.4K citations
25
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- IEEE Transactions on Intelligent Transportation Systems
24 publications · 2.9K citations
22
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- Transportation Science
17 publications · 1.3K citations
16
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- Computers & Industrial Engineering
17 publications · 578 citations
15
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1–5