A multi-constrained takeaway navigation system based on ant colony algorithm

Hongyan Xu; Ruwei Duan; Huaqiong Liu

doi:10.1117/12.2689887

7 September 2023 A multi-constrained takeaway navigation system based on ant colony algorithm

Hongyan Xu, Ruwei Duan, Huaqiong Liu

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 1279009 (2023) https://doi.org/10.1117/12.2689887
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

At present, although the exclusive delivery navigation for delivery personnel implemented by major food delivery platforms has basic navigation functions, it is still insufficient in terms of optimizing navigation details and ensuring the safety of delivery personnel. Aiming at the problem that the food delivery route planned by the food delivery platform does not meet the actual traffic demand and the average delivery time allocated by the platform is too short, this system is based on the traditional ant colony algorithm and fully considers the traffic lights and road impassability that the food delivery personnel may encounter on the way and the platform route planning does not consider the actual traffic demand and other common problems. By adding the corresponding constraints of the ant colony algorithm, the delivery staff's takeaway navigation path can be carried out in a way that is more in line with actual safety and traffic rules. The system is equipped with real-time road condition monitoring and voice broadcast navigation functions to find the optimal route for takeaway delivery under the premise of ensuring the delivery safety of takeaway workers.

Citation Download Citation

Hongyan Xu, Ruwei Duan, and Huaqiong Liu "A multi-constrained takeaway navigation system based on ant colony algorithm", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 1279009 (7 September 2023); https://doi.org/10.1117/12.2689887

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