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Authors: Christoph Greulich 1 ; Stefan Edelkamp 1 ; Max Gath 1 ; Tobias Warden 1 ; Malte Humann 1 ; Otthein Herzog 1 and T. G. Sitharam 2

Affiliations: 1 University of Bremen, Germany ; 2 Indian Institute of Science, India

ISBN: 978-989-8565-39-6

ISSN: 2184-433X

Keyword(s): Multiagent-based Simulation.

Related Ontology Subjects/Areas/Topics: Agent Models and Architectures ; Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Technologies ; Multi-Agent Systems ; Operational Research ; Simulation ; Software Engineering ; State Space Search ; Symbolic Systems ; Task Planning and Execution

Abstract: This paper addresses improved urban mobility using multiagent simulation. We provide a description of the agent model and the routing infrastructure as a step towards a rich model of the interactions that happen in intermodal transport planning tasks. The multiagent model is generic in the sense that different public and individual transport agents and transportation agencies can be added and parameterized on-the-fly. It integrates planning with execution. We show that a sequence of calls to Dijkstra’s single-source shortest-paths algorithm is crucial for planning and provide an efficient memory-less implementation with radix heaps in order to make this application feasible with respect to scalability. As a case study, we implement a scenario for Bangalore (India), starting on a higher level of abstraction and drilling down to a running program.

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Paper citation in several formats:
Greulich, C.; Edelkamp, S.; Gath, M.; Warden, T.; Humann, M.; Herzog, O. and Sitharam, T. (2013). Enhanced Shortest Path Computation for Multiagent-based Intermodal Transport Planning in Dynamic Environments.In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-8565-39-6, pages 324-329. DOI: 10.5220/0004262103240329

@conference{icaart13,
author={Christoph Greulich. and Stefan Edelkamp. and Max Gath. and Tobias Warden. and Malte Humann. and Otthein Herzog. and T. G. Sitharam.},
title={Enhanced Shortest Path Computation for Multiagent-based Intermodal Transport Planning in Dynamic Environments},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2013},
pages={324-329},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004262103240329},
isbn={978-989-8565-39-6},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Enhanced Shortest Path Computation for Multiagent-based Intermodal Transport Planning in Dynamic Environments
SN - 978-989-8565-39-6
AU - Greulich, C.
AU - Edelkamp, S.
AU - Gath, M.
AU - Warden, T.
AU - Humann, M.
AU - Herzog, O.
AU - Sitharam, T.
PY - 2013
SP - 324
EP - 329
DO - 10.5220/0004262103240329

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