Anuj Pradhan
Assistant Professor
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Articles (11)
A third of large truck crashes are associated with driver-related factors, especially speeding. This study aimed to examine the impact of behavior-based safety (BBS) programs on speeding. Speeding data were examined from a trucking fleet that had incorporated a BBS program using in-vehicle data recorders (IVDR) and post hoc feedback. Speeding events were examined over 37 weeks in two stages—an initial 4-week period (Stage 1), and the final 30 weeks (Stage 2). In Stage 1, data were collected without any feedback. In Stage 2, a subset of the drivers received feedback. A cluster analysis was performed based on the speeding event rate from Stage 1. The analysis yielded two clusters per group based on risk. The higher-risk cluster contained fewer drivers and showed a greater reduction in speeding with the BBS program, compared to the lower-risk cluster. Both clusters showed significant decreases in speeding across Stage 2. The BBS program was associated with reduced speeding, with a more pronounced reduction for the higher-risk drivers, highlighting the role of BBS programs in trucking and underscoring the importance of driver sub-groups. Targeted safety approaches may be more efficient and yield higher safety benefits than a one-size fits all approach.
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2024
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2024
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2023
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2023
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2023
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2023
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2022
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2022
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2021
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2020
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2020
Collaborators (6)
Franziska Babel
Linköping University
Brian Lin
University of Michigan
Shan Bao
Associate Professor
University of Michigan-Dearborn
Lionel P. Robert
University of Michigan
X. Jessie Yang
University of Michigan
Heejin Jeong
Arizona State University
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