Cost and risk aggregation in multi-objective route planning for hazardous materials transportation—A neuro-fuzzy and artificial bee colony approach

作者：

Highlights：

• A model to solve the urban hazmat vehicle routing problem is proposed.

• The routes selection criteria are operating costs and different aspects of risk.

• Route selection is carried out by combining Dijkstra's Algorithm with an ANFIS.

• The model is tested in a case study of Belgrade, Serbia.

• The model is adaptable to each specific case.

摘要

•A model to solve the urban hazmat vehicle routing problem is proposed.•The routes selection criteria are operating costs and different aspects of risk.•Route selection is carried out by combining Dijkstra's Algorithm with an ANFIS.•The model is tested in a case study of Belgrade, Serbia.•The model is adaptable to each specific case.

论文关键词：Hazardous materials routing,Adaptive neuro fuzzy inference system,Artificial bee colony algorithm,Dijkstra's algorithm

论文评审过程：Received 11 February 2016, Revised 11 June 2016, Accepted 3 August 2016, Available online 9 August 2016, Version of Record 11 August 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.08.024