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Enabling large-scale transit microsimulation for disruption response support using the Nexus platform

Proof-of-concept case study of the Greater Toronto Area transit network

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Abstract

In many large cities, public transit systems have been carrying an ever-increasing burden of commuters. In such systems, service disruptions can negatively impact system performance and transit users well after they are resolved. Currently, transit agencies handle these disruption episodes in an ad-hoc fashion, largely due to the lack of adequate analytical tools to aid in analyzing and selecting appropriate response strategies. This paper presents a proof-of-concept case study of the Greater Toronto transit network using Nexus, a new crowd dynamics and transit network simulation platform. Nexus enables detailed simulation of all transit system actors using a novel method of linking together established simulators of surface transit, fully separated rail transit, and stations. Transit users, as agents in the model, move between the different simulators and have their routes determined by an external dynamic routing module. The case study focuses on interfacing Nexus with a commercial pedestrian simulator, MassMotion, to allow for detailed crowd simulation at key stations, and illustrating how the platform could be used for disruption management. To this end, the impact of disruptions of various lengths was analyzed, and a simple response strategy was implemented to provide an example of how the system could be used to test mitigating strategies.

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Acknowledgements

The authors wish to acknowledge the support provided by Arup. The work would also not have been possible without Canadian federal funding provided by the Natural Sciences and Engineering Research Council (NSERC).

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Authors and Affiliations

  1. Civil Engineering, University of Toronto, 35 St. George St, Toronto, ON, Canada

    Siva Srikukenthiran & Amer Shalaby

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  1. Siva Srikukenthiran
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  2. Amer Shalaby
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Correspondence to Siva Srikukenthiran.

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Srikukenthiran, S., Shalaby, A. Enabling large-scale transit microsimulation for disruption response support using the Nexus platform. Public Transp 9, 411–435 (2017). https://doi.org/10.1007/s12469-017-0158-y

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  • DOI: https://doi.org/10.1007/s12469-017-0158-y

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