A Novel Shortest Path Query Algorithm Based on Optimized Adaptive Topology Structure
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arXiv
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| Auteurs principaux: | , , , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866914700988514304 |
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| author | Fang, Xiao Song, Xuyang Ma, Jiyuan Liu, Guanhua Pang, Shurong Zhao, Wenbo Cao, Cong Fan, Ling |
| author_facet | Fang, Xiao Song, Xuyang Ma, Jiyuan Liu, Guanhua Pang, Shurong Zhao, Wenbo Cao, Cong Fan, Ling |
| contents | Urban rail transit is a fundamental component of public transportation, however, commonly station-based path search algorithms often overlook the impact of transfer times on search results, leading to decreased accuracy. To solve this problem, this paper proposes a novel shortest path query algorithm based on adaptive topology optimization called the Adaptive Topology Extension Road Network Structure (ATEN). This algorithm categorizes transfer stations into different types and treats travel time and transfer time equivalently as weights for edges in the topological graph. The proposed algorithm introduces virtual stations to differentiate between pedestrian paths and train paths, eliminating the need for additional operations on transfer stations. The algorithm controls the extent of expansion in the urban rail transit topology, overcoming query errors caused by mishandling of transfer stations in the existing algorithm. Finally, a series of simulation experiments were conducted on Beijing's urban rail transit network to validate both correctness and efficiency of the proposed adaptive topology optimization algorithm. The results demonstrate significant advantages compared to existing similar algorithms. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_01826 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Novel Shortest Path Query Algorithm Based on Optimized Adaptive Topology Structure Fang, Xiao Song, Xuyang Ma, Jiyuan Liu, Guanhua Pang, Shurong Zhao, Wenbo Cao, Cong Fan, Ling Computational Engineering, Finance, and Science Urban rail transit is a fundamental component of public transportation, however, commonly station-based path search algorithms often overlook the impact of transfer times on search results, leading to decreased accuracy. To solve this problem, this paper proposes a novel shortest path query algorithm based on adaptive topology optimization called the Adaptive Topology Extension Road Network Structure (ATEN). This algorithm categorizes transfer stations into different types and treats travel time and transfer time equivalently as weights for edges in the topological graph. The proposed algorithm introduces virtual stations to differentiate between pedestrian paths and train paths, eliminating the need for additional operations on transfer stations. The algorithm controls the extent of expansion in the urban rail transit topology, overcoming query errors caused by mishandling of transfer stations in the existing algorithm. Finally, a series of simulation experiments were conducted on Beijing's urban rail transit network to validate both correctness and efficiency of the proposed adaptive topology optimization algorithm. The results demonstrate significant advantages compared to existing similar algorithms. |
| title | A Novel Shortest Path Query Algorithm Based on Optimized Adaptive Topology Structure |
| topic | Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2403.01826 |