A Route Optimization Algorithm for Reducing Delivery Time and Transportation Costs in Nigerian Cities

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@article{1709618,
      author = {Opeyemi Morenike Filani, John Oluwaseun Olajide, Grace Omotunde Osho, Patience Okpeke Paul},
      title = {A Route Optimization Algorithm for Reducing Delivery Time and Transportation Costs in Nigerian Cities},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {3},
      number = {10},
      pages = {434-453},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1709618.pdf},
      abstract = {This paper presents a comprehensive review of existing route optimization algorithms and their application potential in reducing delivery time and transportation costs within the complex urban logistics networks of Nigerian cities. Given the unique infrastructural, socio-economic, and environmental challenges faced by Nigerian urban centers, traditional routing methods often fall short in addressing congestion, poor road conditions, and inefficient delivery systems. Through a synthesis of state-of-the-art optimization techniques, including metaheuristic algorithms, exact methods, and hybrid models, this review proposes a conceptual framework adaptable to Nigerian urban settings. The study highlights how leveraging adaptive, dynamic route optimization algorithms can significantly improve last-mile delivery efficiency, reduce operational costs, and enhance service levels. Recommendations for integrating these algorithms with real-time traffic data and geographic information systems (GIS) to address local challenges are also discussed. This paper aims to serve as a foundational guide for researchers and logistics practitioners seeking to implement data-driven solutions for urban delivery optimization in Nigeria.},
      keywords = {Route Optimization, Delivery Time Reduction, Transportation Costs, Nigerian Cities, Urban Logistics, Metaheuristic Algorithms},
      month = {April},
  }