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June 11, 2026ISPRS International Journal of Geo-InformationOpen Access

An Improved ACO for the Urban Logistics Delivery Problem Considering Dynamic Traffic Conditions and Customer Service Quality

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Authors

HZHan ZhangYLYuanyuan LiHMHongbo Mei

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Overview

Randomized trial demonstrates enhanced delivery performance in urban logistics, suggesting improved service quality through optimized routing algorithms.

Key Points

  • The aim is to improve routing decisions in urban logistics by accounting for dynamic traffic conditions and service quality.
  • Developed a dynamic urban logistics delivery model incorporating service quality and time-varying traffic conditions.
  • Enhanced ant colony optimization algorithm with three-dimensional pheromone representation and optimized transition probabilities.
  • Implemented dynamic delivery and adjustment strategies within a two-stage hybrid ACO.
  • The enhanced ACO outperformed baseline ACO by reducing delivery times and improving service quality under dynamic conditions.
  • Incorporating time-varying traffic led to avoiding peak congestion and better overall logistics performance.
  • Experiments showed significant optimization improvements compared to NSGA-II and SPEA-II algorithms.

Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/6a2a50e080c8f91e7f39d418https://doi.org/10.3390/ijgi15060257
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