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Laboratory Scale Slow Cook-Off Testing of Rocket Propellants: The Combustion Rate Analysis of a Slowly Heated Propellant CRASH-P Test
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Reducing intercity bus crashes through driver rescheduling.

Shuo-Yen Wang1, Kun-Feng Wu1

  • 1Department of Transportation and Logistics Management, National Chiao Tung University, Taiwan, ROC.

Accident; Analysis and Prevention
|October 10, 2018
PubMed
Summary
This summary is machine-generated.

Intercity bus driver scheduling significantly impacts crash risk due to fatigue. Rescheduling based on identified high-risk patterns can reduce crashes by about 30%, enhancing safety.

Keywords:
Case-study approachDriver schedulingIntercity bus safety

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Area of Science:

  • Transportation Safety
  • Occupational Health
  • Logistics Management

Background:

  • Driver fatigue is a major factor in intercity bus crashes, often linked to scheduling, sleep deprivation, and circadian rhythm disruption.
  • Identifying specific high-risk driver schedules is crucial for developing effective safety interventions in the transportation industry.

Purpose of the Study:

  • To develop a paradigm for minimizing intercity bus fleet crash risk through optimized driver rescheduling.
  • To identify specific driver schedules associated with increased crash likelihood and propose a rescheduling scheme to mitigate these risks.

Main Methods:

  • A case-study approach was used to pinpoint driver schedules linked to higher crash risks.
  • A mathematical program was formulated to minimize overall fleet crash risk by analyzing identified high-risk scheduling patterns.

Main Results:

  • Specific driver schedules were identified as increasing crash risk, including consecutive afternoon/early morning shifts and shifts after extended off-duty periods.
  • The developed rescheduling algorithm demonstrated a potential to reduce intercity bus crash incidence by approximately 30%.

Conclusions:

  • Driver scheduling is a critical, modifiable factor in intercity bus safety.
  • Mathematical programming offers a viable method for optimizing schedules to reduce fatigue-related crashes and maintain service continuity.