A Collaborative Emergency Drill System for Urban Tunnels Using BIM and an Agent-Based Model

Author:

Yu Gang12ORCID,Shi Lihua12,Wang Yan3,Xiong Jing45,Jin Yucong12

Affiliation:

1. SILC Business School, Shanghai University, Shanghai 201800, China

2. Shanghai University and Shanghai Urban Construction (Group) Corporation Research Center for Building Industrialization, Shanghai University, Shanghai 200072, China

3. Department of Engineering Management, Sichuan College of Architectural Technology, Deyang 610399, China

4. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

5. College of Air Transportation, Shanghai University of Engineering Science, Shanghai 201620, China

Abstract

With the rapid development of smart cities, the refined management of urban highway tunnels has put forward higher requirements for the emergency disposal ability of operation and maintenance personnel. This paper proposed a collaborative emergency drill system for urban tunnels using building information modeling (BIM) and an agent-based model. The objectives of this paper are as follows: (1) To help address the challenge of multi-person collaborative intelligent drills in complex emergency scenarios, this system constructed an emergency collaborative drill model and a virtual emergency scenario description method based on trait-based objects (TBOs). (2) To help address the challenge of the organization and integration of multi-source heterogeneous data in complex emergency scenarios, the system established an emergency scenario generation method through lightweight BIM data, standard emergency plan documents, and virtual emergency scenario data. The system was successfully applied to the Hongmei South Road Tunnel in Shanghai, China. The feasibility of the proposed system provided practical help for tunnel emergency management and was extended to other urban tunnels in Shanghai.

Funder

Shanghai Municipal Science and Technology Commission

Shanghai Municipal Natural Science Foundation

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

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4. Jiang, J., Yue, Y., and He, S. (2018, January 28–31). Multimodal-Transport Collaborative Evacuation Strategies for Urban Serious Emergency Incidents Based on Multi-Sources Spatiotemporal Data (Short Paper). Proceedings of the 10th International Conference on Geographic Information Science (GIScience 2018), Melbourne, Australia.

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