Mathematical Modeling of Command-and-Control Strategies in Crowd Movement

Author:

Feng Lei1,Miller-Hooks Elise1,Brannigan Vincent2

Affiliation:

1. Department of Civil and Environmental Engineering, 1173 Glenn L. Martin Hall, College Park, MD 20742.

2. Department of Fire Protection Engineering, 3106C J. M. Patterson Building, University of Maryland, College Park, MD 20742.

Abstract

Mathematical models and solution frameworks are described for the assessment of command-and-control strategies in the centralized coordination of crowd movement. The effectiveness of several strategies–-from providing only information to reconfiguring the built environment through architectural design changes and forcing pedestrians to follow system-optimal evacuation routes–-is investigated and compared with the use of proposed mathematical formulations and computational solutions. These formulations and solutions are tested on an example network as an illustration. Differences in system performance under these strategies are assessed, and performance (as total travel time) is compared. Efficiency gains obtained with command-and-control strategies in crowd movement are investigated.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Hybrid modeling and predictive control of large-scale crowd movement in road network;Proceedings of the 24th International Conference on Hybrid Systems: Computation and Control;2021-05-19

2. Lessons Learned from Modeling the Evacuation of a Suburban University Campus;International Conference on Transportation and Development 2018;2018-07-11

3. Pedestrian control measures for efficient emergency response management in mass gatherings;International Journal of Disaster Resilience in the Built Environment;2018-06-11

4. Network redesign for efficient crowd flow and evacuation;Applied Mathematical Modelling;2018-01

5. Using New Mode Choice Model Nesting Structures to Address Emerging Policy Questions: A Case Study of the Pittsburgh Central Business District;Sustainability;2017-11-17

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