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

• Main Authors: Li, Jingsi, Ferguson, Neil
• Format: Conference Proceeding
• Language: English
• Subjects: Agent-based model; Multi-dimensional day plan rescheduling; Rule-based decision making; Travel demand prediction
• ISSN: 1877-0509; 1877-0509
• DOI: 10.1016/j.procs.2020.03.012

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. An individual realising the unexpected events would take action to reschedule its day plan in order to fit into the new circumstance. This paper analyses the potential reschedule possibilities by augmenting the Within-Day Replanning simulation model implemented in the Multi-Agent Transport Simulation (MATSim) framework. Agents can adjust day plan through multi-dimensional travel decisions including route choice, departure time choice, mode switch, and trip cancellation. The enhanced model not only improves the flexibility of MATSim in rescheduling a plan during an execution day, but also lays the foundation of integrating more detailed heterogeneity decision rules into the travel behaviour simulation to cope with 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 transport disruptions for transport management agency.