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Combining hierarchical and goal-directed speed-up techniques for dijkstra's algorithm
Abstract
In recent years, highly effective hierarchical and goal-directed speed-up techniques for routing in large road networks have been developed. This article makes a systematic study of combinations of such techniques. These combinations turn out to give the best results in many scenarios, including graphs for unit disk graphs, grid networks, and time-expanded timetables. Besides these quantitative results, we obtain general insights for successful combinations.
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“Graph-based local planners use the same techniques as graph-based global planners such as Dijkstra [254] and A* [249], which output discrete paths rather than continuous ones.This can lead to jerky trajectories [19].”
From A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2020) · cites this paper as [254]
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Research works printed but not linked: 41
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Cited by
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
Yurtsever, E., Lambert, J., Carballo, A., & Takeda, K. (2020) · IEEE Access · doi:10.1109/access.2020.2983149 · Cited by 1,889
“For example, [249] combined a separator with a bounded-hop method and created the Transit Node Routing with Arc Flags (TNR+AF) algorithm.”
MethodRoute Planning in Transportation Networks
Bast, H., Delling, D., Goldberg, A., Müller-Hannemann, M., Pajor, T., Sanders, P., Wagner, D., & Werneck, R. F. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-49487-6_2 · Cited by 610
Self-citation
Metadata
- Authors
- Bauer, R., Delling, D., Sanders, P., Schieferdecker, D., Schultes, D., & Wagner, D.
- Affiliations
- Karlsruhe Institute of Technology (DE)
- Venue
- ACM Journal of Experimental Algorithmics
- Published
- 2010-03
- Volume
- 15
- ISSN
- 1084-6654 (ISSN-L)
- OpenAlex
- W2150418461
- Cited by
- 190
- References
- 0
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 6 · 2023: 7 · 2022: 7 · 2021: 12 · 2020: 9 · 2019: 16 · 2018: 3 · 2017: 9 · 2016: 4 · 2015: 15 · 2014: 12 · 2013: 22 · 2012: 19
- FWCI
- 22.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- ACM Journal of Experimental Algorithmics (publishedVersion)
- Funders
- Deutsche Forschungsgemeinschaft (SA 933/1-3SA 933/5-1WA 654/16-1)
- Research Training Group (1194)
- Seventh Framework Programme (FP6-021235-2)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Complexity and Algorithms in Graphs
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Graph Theory and Algorithms
- Social Sciences › Transportation › Transportation Planning and Optimization
- Keywords
- Dijkstra's algorithm, shortest path algorithms, road network routing, unit disk graphs, grid networks, time-expanded network, timetable optimization
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