Within day rescheduling microsimulation combined with macrosimulated traffic
A framework is proposed to simulate execution and adaptation of schedules generated by an activity-based model. Individuals use perception filters to extract (incomplete, biased) information about the environment. Each individual estimates the (near) future state of the network to determine a new schedule. The time dependent state of the transportation network is modeled macroscopically. Transient network load caused by an incident has been calculated using utility maximizing behavior for rescheduling.
rescheduling activity-based modeling schedule adaptation travel behavior