Enhancing dynamic resilience of traffic network: Role of Bayesian pre-posterior analysis supported by real-time congestion scanning technology
Major unanticipated disruptions to the traffic network that result in severe delays to travellers and adverse socio-economic impacts require an emergency preparedness strategy. Examples are bridge collapse caused by collision with a ship or fire or structural failure, and bridge closure due to storm...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Sustainability Analytics and Modeling |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667259625000062 |
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