Research on the application of ant colony algorithm in optimal path planning according to the concept of intelligent transportation

Meixia Song; Fengnan Xiao; Han Liu; Shidi Wu; Xiaoyu Zhao; Guozhu Sui

doi:10.1117/12.3039951

28 August 2024 Research on the application of ant colony algorithm in optimal path planning according to the concept of intelligent transportation

Meixia Song, Fengnan Xiao, Han Liu, Shidi Wu, Xiaoyu Zhao, Guozhu Sui

Author Affiliations +

Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132513W (2024) https://doi.org/10.1117/12.3039951
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China

Abstract

Along with the continuous improvement of the road transportation network, the number of private cars is also increasing, and the urban traffic problem is becoming more and more serious. The most indispensable part of people's transportation is the use of urban intelligent transportation system, which can help drivers plan the optimal route and solve the driving path planning problem. At present, many path optimization algorithms have been proposed to solve the driving path planning, but there are still some deficiencies. Based on this, this paper proposes an ant colony algorithm, which is applied to optimal path planning to solve the driving path planning problem. Experimental results confirm that the algorithm can effectively avoid falling into the local optimal solution, improve the efficiency and accuracy of the calculation, and has good optimization and convergence, which can meet the needs of optimal path planning.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Meixia Song, Fengnan Xiao, Han Liu, Shidi Wu, Xiaoyu Zhao, and Guozhu Sui "Research on the application of ant colony algorithm in optimal path planning according to the concept of intelligent transportation", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132513W (28 August 2024); https://doi.org/10.1117/12.3039951

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