Long-Haul Vehicle Routing and Scheduling with Biomathematical Fatigue Constraints

Jiawei Fu () and Liang Ma ()
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Jiawei Fu: Department of Industrial Engineering, Tsinghua University, 100084 Beijing, China
Liang Ma: Department of Industrial Engineering, Tsinghua University, 100084 Beijing, China

Transportation Science, 2022, vol. 56, issue 2, 404-435

Abstract: Hours of service (HOS) regulations are among the conventional safety constraints that are compiled by long-haul truck drivers. These regulations have been considered in models and algorithms of vehicle routing problems to assign safe schedules to drivers. However, the HOS regulations neglect a few crucial fatigue risk factors and, at times, fail to generate fatigue-reducing schedules. In this study, a set of biomathematical fatigue constraints (BFCs) derived from biomathematical models are considered for a long-haul vehicle routing and scheduling problem. A BFC scheduling algorithm and a BFC-HOS scheduling algorithm have been developed and then embedded within a tabu search heuristic to solve the combined vehicle routing and scheduling problem. All the solution methods have been tested on modified Solomon instances and a real-life instance, and the computational results confirm the advantages of employing a sophisticated and fatigue-reducing scheduling procedure when planning long-haul transportation.

Keywords: long-haul truck drivers; vehicle routing and scheduling problem; biomathematical fatigue constraints (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ortrsc:v:56:y:2022:i:2:p:404-435

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