| Title | A CHAIN-BASED ANALYSIS OF HIGHWAY BUS DRIVER IN-VEHICLE DISTRACTION BEHAVIOR PATTERNS AND DANGEROUS DRIVING EVENTS |
| Author | Yi-Shih Chung, Su-Hsuan Wu, Yun-Chen Lu, Shih-Hsuan Huang, Tsu-Hung Yeh |
| Summary | Driver distraction has been regarded as one of the most important factors to road traffic accidents; however, prior studies mostly focused on small-vehicle drivers and examined the association of distraction with accidents only. The present study proposes a five-staged event-chain framework for analyzing ADAS events; in particular, the pattern of driver distractions before and after warning onsets and their association with dangerous events are examined. Based on 200 trip and 2,558 event data, the study develops binary logistic regression and sequential mining models. The analysis results show that hands leaving the steering wheel and head movements were two most commonly observed distraction behaviors. However, the behaviors that truly endangered safety were simultaneous multiple distraction behaviors, or behaviors that occurred in lane changing or when the bus was on the ramp. Behaviors that are prohibited in laws (e.g., hand holding mobile phones) or explicitly obvious dangerous behaviors (e.g., both hand leaving the steering wheel) were also clearly related to dangerous events. The analysis results could shed lights on our understanding about large passenger vehicle drivers’ distraction behaviors, and the findings could be a useful reference to operators and governments for training occupational drivers. The methodological issues related to constructing event chains are also discussed in the paper. |
| Vol. | 53 |
| No. | 4 |
| Page | 347 |
| Year | 2024 |
| Month | 12 |
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