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Infrastructure Resilience Conference 2018

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A Method to Improve Road Network Resilience Using Clonal Selection Algorithm

A road network can be partially or completely disrupted by common failures such as road accidents or shutdown on components, causing different levels of damages and inconvenience to the public. Hence, it is very important and critical to identify possible failures and assess their respective disruption before commencing any design works, in which the improvement works aim to reduce the risks or consequence of failure. This project addresses a network resilience problem accounting for both measurement of network resilience and optimization of link improvement. It aims to determine critical scenarios firstly and subsequence improvements on network resilience against these scenarios. The evaluation of risk on each scenario is performed by an equivalent Unified Network Performance Measure (Nagurney and Qiang, 2009) and it takes into account both the consequence and frequency of failure. The clonal selection algorithm is implemented to solve the problem. Computational results are presented and investigated.

Yi Wang
Future Resilient Systems, Singapore-ETH Centre
Hong Kong

Wai Yuen Szeto
Department of Civil Engineering, The University of Hong Kong
Hong Kong


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