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A scalable heuristic for evacuation planning in large road network

Published: 03 November 2009 Publication History

Abstract

Evacuation planning is of critical importance for civil authorities to prepare for natural disasters, but efficient evacuation planning in large city is computationally challenging due to the large number of evacuees and the huge size of transportation networks. One recently proposed algorithm Capacity Constrained Route Planner (CCRP) can give sub-optimal solution with good accuracy in less time and use less memory compared to previous approaches. However, it still can not scale to large networks. In this paper, we analyze the overhead of CCRP and come to a new heuristic CCRP++ that scalable to large network. Our algorithm can reuse search results in previous iterations and avoid the repetitive global shortest path expansion in CCRP. We conducted extensive experiments with real world road networks and different evacuation parameter settings. The result shows it can gives great speed-up without loosing the optimality.

References

[1]
Q. Lu, B. George, and S. Shekhar. Capacity Constrained Routing Algorithms for Evacuation Planning: A Summary of Results. Proceedings of 9th International Symposium on Spatial and Temporal Databases (SSTD'05), 291--307, 2005.
[2]
K., Sangho, B. George, and S. Shekhar. Evacuation Route Planning: Scalable Heuristics, (ACMGIS '07), Seattle, WA, 2007
[3]
B. George, K. Sangho and S. Shekhar. Spatio-temporal Network Databases and Routing Algorithms: A Summary of Results, (SSTD'07), Boston, July, 2007.
[4]
H. Hamacher and S. Tjandra, Mathematical Modeling of Evacuation Problems: A State of the art. Pedestrian and Evacuation Dynamics, 227--266, 2002.
[5]
E. M. Hooks, and S. S. Patterson, On Solving Quickest Time Problems in Time-Dependent and Dynamic Networks, Journal of Mathematical Modeling and Algorithms, Vol. 3 No. 1. 39--71, 2005.
[6]
Spatial Dataset contribute by Dr. Li Feifei (http://www.cs.fsu.edu/~lifeifei/SpatialDataset.htm)
[7]
E. Dijkstra, A note on two problems in connexion with graphs, Numerische Mathematik (1959) 1, pp. 269--271.
[8]
S. Koenig, M. Likhachev and D. Furcy. Lifelong Planning A*. Artificial Intelligence Journal, 155, (1--2), 93--146, 2004.

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  • (2024)Uncertain Commuters Assignment Through Genetic Programming Hyper-HeuristicIEEE Transactions on Computational Social Systems10.1109/TCSS.2023.326572711:2(2606-2619)Online publication date: Apr-2024
  • (2021)Simulation-based Evacuation Planning for Urban AreasProceedings of the 29th International Conference on Advances in Geographic Information Systems10.1145/3474717.3483963(297-300)Online publication date: 2-Nov-2021
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    cover image ACM Conferences
    IWCTS '09: Proceedings of the Second International Workshop on Computational Transportation Science
    November 2009
    53 pages
    ISBN:9781605588612
    DOI:10.1145/1645373
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 03 November 2009

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    Author Tags

    1. CCRP
    2. evacuation planning
    3. shortest path

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    • (2024)Towards Scalable Dynamic Traffic Assignment With Streaming Agents: A Decentralized Control Approach Using Genetic ProgrammingIEEE Transactions on Emerging Topics in Computational Intelligence10.1109/TETCI.2023.32966718:1(942-955)Online publication date: Feb-2024
    • (2024)Uncertain Commuters Assignment Through Genetic Programming Hyper-HeuristicIEEE Transactions on Computational Social Systems10.1109/TCSS.2023.326572711:2(2606-2619)Online publication date: Apr-2024
    • (2021)Simulation-based Evacuation Planning for Urban AreasProceedings of the 29th International Conference on Advances in Geographic Information Systems10.1145/3474717.3483963(297-300)Online publication date: 2-Nov-2021
    • (2021)Ant Colony Evacuation Planner: An Ant Colony System With Incremental Flow Assignment for Multipath Crowd EvacuationIEEE Transactions on Cybernetics10.1109/TCYB.2020.301327151:11(5559-5572)Online publication date: Nov-2021
    • (2020)Congestion-minimal and Traffic-adaptive Platooning Evacuation2020 IEEE International Systems Conference (SysCon)10.1109/SysCon47679.2020.9275830(1-7)Online publication date: 24-Aug-2020
    • (2018)Evacuation Assisting Strategies in Vehicular Ad Hoc Networks2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)10.1109/UEMCON.2018.8796657(836-841)Online publication date: Nov-2018
    • (2018)Improved algorithms for the evacuation route planning problemJournal of Combinatorial Optimization10.1007/s10878-016-0082-036:1(280-306)Online publication date: 1-Jul-2018
    • (2018)Indoor Evacuation PlanningGeospatial Infrastructure, Applications and Technologies: India Case Studies10.1007/978-981-13-2330-0_9(107-119)Online publication date: 5-Nov-2018
    • (2017)Segmented arrival graph based evacuation plan assessment algorithm using linear programming2017 Annual IEEE International Systems Conference (SysCon)10.1109/SYSCON.2017.7934702(1-8)Online publication date: Apr-2017
    • (2016)Accurate evacuation route planning using forward-backward shortest paths2016 Annual IEEE Systems Conference (SysCon)10.1109/SYSCON.2016.7490571(1-6)Online publication date: Apr-2016
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