Urban hazmat transportation with multi-factor

Jiaoman Du, Xiang Li, Changjing Shang, Lei Li

Research output: Contribution to journalArticlepeer-review

4 Citations (SciVal)
149 Downloads (Pure)


In this paper, an urban hazmat transportation problem considering multiple factors that tangle with real-world applications (i.e., weather conditions, traffic conditions, population density, time window, link closure and half link closure) is investigated. Based on multiple depot capacitated vehicle routing problem, we provide a multi-level programming formulation for urban hazmat transportation. To obtain the Pareto optimal solution, an improved biogeography-based optimization (improved BBO) algorithm is designed, comparing with the original BBO and genetic algorithm, with both simulated numerical examples and a real-world case study, demonstrating the effectiveness of the proposed approach
Original languageEnglish
JournalSoft Computing
Early online date01 Apr 2019
Publication statusE-pub ahead of print - 01 Apr 2019


  • urban hazmat transportation
  • multiple factors
  • multi-level programming
  • biogeography-based optimization
  • pareto optimization


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