Conference Proceeding Article
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.
Crowd management, Bus transit service, Vehicle routing problem
Artificial Intelligence and Robotics | Operations Research, Systems Engineering and Industrial Engineering | Transportation
Intelligent Systems and Decision Analytics
Computational Logistics: 6th International Conference, ICCL 2015 Delft, The Netherlands, September 23–25, 2015. Proceedings
City or Country
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. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/2796
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