Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-7749
Main Title: Destination Innovation
Author(s): Horni, Andreas
Nagel, Kai
Axhausen, Kay W.
Type: Book Part
Language Code: en
Is Part Of: 10.5334/baw
Abstract: 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.
URI: https://depositonce.tu-berlin.de//handle/11303/8615
http://dx.doi.org/10.14279/depositonce-7749
Issue Date: 2016
Date Available: 27-Nov-2018
DDC Class: 380 Handel, Kommunikation, Verkehr
Subject(s): large-scale simulation
agent-based modeling
choice modeling
transport modeling
transport planning
License: https://creativecommons.org/licenses/by/4.0/
Book Title: The Multi-Agent Transport Simulation MATSim
Editor: Horni, Andreas
Nagel, Kai
Axhausen, Kay
Publisher: Ubiquity Press
Publisher Place: London
Publisher DOI: 10.5334/baw.27
Page Start: 165
Page End: 174
ISBN: 978-1-909188-77-8
978-1-909188-75-4
978-1-909188-78-5
978-1-909188-76-1
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

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