Vulnerability in Transport Network during Critical Infrastructure Renewal: Lessons Learned from a Dynamic Traffic Microsimulation Model

Abstract: This paper presents a Dynamic Traffic Assignment (DTA)-based microsimulation model that assesses traffic impacts on transport network during sudden closure of a critical infrastructure (CI) in Halifax, Canada. DTA models can replicate actual traffic conditions considering long queues and spillback. The model is calibrated and validated using field traffic data and used to predict traffic flows in the network. The model suggests an increment of 6 minutes in average traffic delay and 24.5% reduction in the number of arrived vehicles during the given incident. The model also reports spillover effects in the network.

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