Improving the Scalability of Automated Planning-based Vehicle Routing via Smart Routes Identification-Reference-Cited by-同舟云学术

Improving the Scalability of Automated Planning-based Vehicle Routing via Smart Routes Identification

Published:2023-06-14 Issue: Volume: Page:
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Container-title:2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
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Author:

Švadlenka Matyáš¹,Chrpa Lukáš²,Vallati Mauro³

Affiliation:

1. Czech Technical University in Prague,Faculty of Electrical Engineering & Czech Institute of Informatics, Robotics and Cybernetics,Prague,Czech Republic

2. Czech Technical University in Prague,Czech Institute of Informatics, Robotics and Cybernetics,Prague,Czech Republic

3. University of Huddersfield,School of Computing and Engineering,Huddersfield,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10241360/10241369/10241639.pdf?arnumber=10241639

Reference16 articles.

1. An algorithm for finding shortest routes from all source nodes to a given destination in general networks

2. A density-based algorithm for discovering clusters in large spatial databases with noise;ester;The Second International Conference on Knowledge Discovery and Data Mining,1996

3. Microscopic Traffic Simulation using SUMO

4. K⁎: A heuristic search algorithm for finding the k shortest paths

5. A Formal Basis for the Heuristic Determination of Minimum Cost Paths

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