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🆕 Date Issued:
2016
🗄 In DepositOnce:2018-11-27
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Destination Innovation

Horni, Andreas; Nagel, Kai; Axhausen, Kay W.

Generally speaking, destination choice represents an optimization problem, where every agent searches for his or her optimal destination according to an objective function, subject to various constraints such as the agent’s travel time budget – as well as interactions with other agents – while competing for space-time slots in the infrastructure. The MATSim destination innovation module provides a problem-tailored heuristic algorithm to solve this problem.
large-scale simulationagent-based modelingchoice modelingtransport modelingtransport planning
Is Part Of
10.5334/baw
Published in: The Multi-Agent Transport Simulation MATSim, 10.5334/baw.27, Ubiquity Press
Creative Commons Attribution 4.0 (CC BY)Creative Commons Attribution 4.0 (CC BY)
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