Taxi Scheduling
Taxi Scheduling is a vehicle scheduling problem that involves the optimization of taxi dispatch, routing, and pickup assignments under dynamic demand and traffic conditions to minimize passenger waiting times, operational costs, or total travel distance.
296
Publications
15.4K
Citations
849
Authors
331
Institutions
Publications per year
2017–2026
147
Parents
296
T-share: A large-scale dynamic taxi ridesharing service
Shuo Ma, Yu Zheng, Ouri Wolfson · 2013 · 476 citations
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction
Huaxiu Yao, Yiding Liu, Ying Wei et al. · 2019 · 240 citations · Full text
Computing, Data Science, Geospatial Artificial Intelligence +15
1–5 of 296
849
Rutgers, The State University of New Jersey, United States
8 publications · 294 citations
8
h-index
7
h-index
7
h-index
6
h-index
Delft University of Technology, Netherlands
5 publications · 459 citations
6
h-index
1–5 of 849
331

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
11 h-index
12 publications
1.2K citations
National University of Singapore
Singapore, Singapore
11 h-index
24 publications
1.5K citations

Delft University of Technology
Delft, The Netherlands
10 h-index
21 publications
1.6K citations

Beihang University
Beijing, China
9 h-index
26 publications
1.2K citations
Massachusetts Institute of Technology
Cambridge, United States
9 h-index
23 publications
6.2K citations
Stony Brook University
Stony Brook, United States
7 h-index
13 publications
419 citations
Nanyang Technological University
Singapore, Singapore
7 h-index
9 publications
622 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
7 h-index
10 publications
1.1K citations
1–8 of 331
14 publications · 847 citations
14
h-index
12 publications · 969 citations
13
h-index
9 publications · 339 citations
9
h-index
TRR · 8 publications · 322 citations
8
h-index
7 publications · 982 citations
7
h-index
1–5