Socially aware fuzzy vehicle routing problem: A topic modeling based approach for driver well-being

作者：

Highlights：

• Driver well-being is important to prevent accidents, aggression and absenteeism.

• We use topic modeling to extract central ideas on driver fatigue, stress, and burnout.

• Drivers need more breaks to improve health, control aggression and prevent accidents.

• An integrated model is created to improve driver well-being and minimize travel time.

• A hybrid genetic algorithm is used to solve the ensuing fuzzy vehicle routing problem.

摘要

•Driver well-being is important to prevent accidents, aggression and absenteeism.•We use topic modeling to extract central ideas on driver fatigue, stress, and burnout.•Drivers need more breaks to improve health, control aggression and prevent accidents.•An integrated model is created to improve driver well-being and minimize travel time.•A hybrid genetic algorithm is used to solve the ensuing fuzzy vehicle routing problem.

论文关键词：Fuzzy simulation,Genetic algorithm,Natural language processing,Text analytics,Topic modeling,Vehicle routing

论文评审过程：Received 20 December 2021, Revised 23 March 2022, Accepted 27 May 2022, Available online 31 May 2022, Version of Record 9 June 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117655