The truck driver scheduling problem with fatigue monitoring

作者：

Highlights：

• A fatigue-aware mathematical model for driver scheduling is proposed.

• Minimum and average driver alertness levels increase as a result of scheduling with fatigue measures in the model.

• Failure to account for start-of-schedule alertness may result in dangerous levels of fatigue and compromised safety.

• Start-of-schedule alertness should be considered in legislation related to hours-of-service regulations.

摘要

In the United States, approximately 4000 fatalities due to truck and bus crashes occur each year. Of these, up to 20% are estimated to involve fatigued drivers [48]. However, no model currently exists that incorporates a measure of drowsiness or fatigue into the Truck Driver Scheduling Problem (TDSP). We introduce a fatigue-aware model for determining the optimal schedule for a driver while maintaining an acceptable level of alertness as well as abiding by time windows and hours of service (HOS) regulations. Additionally, we examine a shortcoming in existing regulations, specifically related to assumptions made about the rest and alertness of a driver at the start of the workweek.

论文关键词：Vehicle scheduling,Scheduling policies,Scheduling systems,Alertness,Fatigue management

论文评审过程：Received 22 May 2017, Revised 9 March 2018, Accepted 9 March 2018, Available online 11 March 2018, Version of Record 5 May 2018.

论文官网地址：https://doi.org/10.1016/j.dss.2018.03.002