A multi-dimensional rescheduling model in disrupted transport network using rule-based decision making

Li, Jingsi and Ferguson, Neil (2020) A multi-dimensional rescheduling model in disrupted transport network using rule-based decision making. Procedia Computer Science, 170. pp. 90-97. ISSN 1877-0509

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    Abstract

    Apart from daily recurrent traffic congestion, unforeseen events such as flood induced road damages or bridge collapses can degrade the capacity of traffic supply and cause a significant influence on travel demand. Individual realizing the unexpected events would take action to reschedule their day plans in order to fit the new circumstance. This paper analyses the potential reschedule possibilities by extending the power of the single day replanning simulation model implemented in the Multi-Agent Transport Simulation (MATSim) framework. An agent can adjust the day plan based on multi-dimensional travel decisions including route choice, departure time choice, mode switch, and trip cancellation. It not only enhances the flexibility of MATSim in rescheduling the day plan during an execution day, but also lays the foundation of integrating more detailed travel behavioral models into simulating heterogeneity decision making under unexpected incidents. Furthermore, the proposed rescheduling model is capable of predicting the network performance in the real-world picture and gives a hint on how best react to disruptions from the perspective of a transport management agency.