An Approach to Planning Scenic Routes by Integrating Dynamic Traffic Models with A* Algorithm
During the entry and exit of attraction viewing, the rapid generation of travel demand and converging traffic flows in a short period can easily pose safety hazards to people due to its complex terrain. This study aims to propose a path planning method that integrates a dynamic traffic model with the A* algorithm for the planning of scenic routes. The study first combines the cellular transport model (CTM) model with the Greenshield model as its dynamic traffic model and then improves the A* algorithm with the Morphin search tree algorithm (Morphin) as its scenic route planning. The results of the study show that the improved A* algorithm reaches the expected error of 10-4 after 21 ms using Matlab tests, and simulation tests are conducted in regular and complex sections of the scenic area. The results show that the improved A* algorithm has a significant improvement over the A* algorithm in node selection, and its performance indexes such as the number of inflection points and smoothness also have a significant improvement effect, the improved A* algorithm has a significant decrease in the search area, and the search efficiency of the A* algorithm has also improved greatly.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/2640642X
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Supplemental Notes:
- Abstract reprinted with permission of SAE International.
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Authors:
- Xiaoling, Ma
- Publication Date: 2023-4-27
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 15-24
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Serial:
- SAE International Journal of Sustainable Transportation,Energy, Environment, & Policy
- Volume: 5
- Issue Number: 1
- ISSN: 2640-642X
- EISSN: 2640-6438
- Serial URL: https://saemobilus.sae.org/content/V129-13EJ/
Subject/Index Terms
- TRT Terms: Mathematical models; Navigation systems; Simulation; Trajectory control
- Subject Areas: Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01888627
- Record Type: Publication
- Source Agency: SAE International
- Report/Paper Numbers: 13-05-01-0002
- Files: TRIS, SAE
- Created Date: Jul 24 2023 4:54PM