Development of a post-disaster transportation network trip simulation model and traffic recovery strategy expert system
The transportation network of a modern city is an essential lifeline system. Severe economic and social impacts would arise if part of this network becomes unusable after a natural or human-made disaster. This research identifies the major traffic congestion problems that would occur in a post-disaster situation and generate appropriate traffic control response strategies. Two major problems that arise on a post-disaster (broken) transportation network are Seattle's and Braess' Paradoxes, and Redundant Traffic (users who cannot be served because of link capacity problems). Computer simulation and knowledge-based expert system techniques are developed and applied to these problems to determine appropriate post-disaster traffic control strategies. A post-disaster trip simulation model called MOVER, and expert system shell called RUNNER, and a traffic control expert system for the test city called HERCULES are developed and used to solve this problem. MOVER is a new type of traffic assignment model developed exclusively for simulating travel behavior on a damaged transportation network. MOVER also computes measures of the effectiveness of alternative recovery strategies. Four response principles are formulated based on the results obtained from using MOVER, and they are then used to develop a knowledge-based expert system. Five different network damage scenarios are simulated for the test city network (150 links, 40 nodes).
- Research Organization:
- Washington Univ., Seattle (USA)
- OSTI ID:
- 7242540
- Country of Publication:
- United States
- Language:
- English
Similar Records
A comprehensive framework for post-earthquake rehabilitation plan of lifeline networks
Quantitative Assessment of Transportation Network Vulnerability with Dynamic Traffic Simulation Methods