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

MD Jahedul Alam | Zendy; Muhammad Ahsanul Habib | Zendy; Kevin Quigley | Zendy

Open Access

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

Author(s) -

MD Jahedul Alam,

Muhammad Ahsanul Habib,

Kevin Quigley

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.05.367

Subject(s) - microsimulation , computer science , traffic generation model , queue , vulnerability (computing) , traffic simulation , traffic model , operations research , spillover effect , replicate , closure (psychology) , transport engineering , computer network , computer security , market economy , mathematics , engineering , economics , microeconomics , statistics

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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