Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
9-2015
Abstract
We are concerned with the routine crowd management problem after a major event at a known venue. Without properly design complementary transport services, such sudden crowd build-ups will overwhelm the existing infrastructure. In this paper, we introduce a novel flow-rate based model to model the dynamic movement of passengers over the transportation flow network. Based on this basic model, an integer linear programming model is proposed to solve the bus transit problem permanently. We validate our model against a real scenario in Singapore, where a newly constructed mega-stadium hosts various large events regularly. The results show that the proposed approach effectively enables routine crowd, and achieves almost 24.1% travel time reduction with an addition of 40 buses serving 18.7% of the passengers.
Keywords
Crowd management, Bus transit service, Vehicle routing problem
Discipline
Artificial Intelligence and Robotics | Operations Research, Systems Engineering and Industrial Engineering | Transportation
Research Areas
Intelligent Systems and Optimization
Publication
Computational Logistics: 6th International Conference, ICCL 2015 Delft, The Netherlands, September 23–25, 2015. Proceedings
Volume
9335
First Page
704
Last Page
718
ISBN
9783319242637
Identifier
10.1007/978-3-319-24264-4_48
Publisher
Springer
City or Country
Cham
Citation
DU, Jianli; CHENG, Shih-Fen; and LAU, Hoong Chuin.
Designing bus transit services for routine crowd situations at large event venues. (2015). Computational Logistics: 6th International Conference, ICCL 2015 Delft, The Netherlands, September 23–25, 2015. Proceedings. 9335, 704-718.
Available at: https://ink.library.smu.edu.sg/sis_research/2796
Copyright Owner and License
Authors/LARC
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/978-3-319-24264-4_48
Included in
Artificial Intelligence and Robotics Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Transportation Commons