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- W2753444899 abstract "Activity-based travel demand models derive travel demand from people's desire to pursue activities in time and space. They generate activity-travel schedules for individual travelers or homogeneous groups of travelers. Comprehensive activity-travel schedules hold information on which activities are performed, in which order, where and for how long, and which travel modes are used between the activities including corresponding routes. This paper presents PlanomatX, a new scheduling algorithm based on Tabu Search that generates comprehensively optimized all-day schedules. The paper furthermore presents a new concept of schedule recycling that significantly reduces simulation run times by re-using schedules of optimized travelers for other non-optimized travelers. Both PlanomatX and schedule recycling are part of the agent-based microsimulation MATSim (Multi-Agent Transport Simulation, http://matsim.org). MATSim's utility function has been adapted to cope with the enhanced functionality of PlanomatX and schedule recycling. First test results on the greater Zurich scenario with more than 170,000 agents show that PlanomatX achieves significantly better optimization results than MATSim's existing scheduling algorithms. However, it also leads to disproportional simulation run times. Schedule recycling relieves this drawback and allows for generating comprehensively optimized all-day schedules for large-scale scenarios at affordable run times." @default.
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- W2753444899 date "2010-01-01" @default.
- W2753444899 modified "2023-09-22" @default.
- W2753444899 title "New Approaches to Generating Comprehensive All-Day Activity-Travel Schedules" @default.
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