Modeling the effects of drive error and impairment on crash injury severity
Under the safe system approach, drivers will inevitably make mistakes and errors that can contribute to crashes. Driver errors are widely cited as one of the critical reasons for crash occurrence in safety literature. Despite universal acceptance, the discussion of their effects on crash injury out...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Technology and Society, Faculty of Engineering, LTH, Lund University
2025-01-01
|
| Series: | Traffic Safety Research |
| Subjects: | |
| Online Access: | https://tsr.international/TSR/article/view/27024 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850082425573474304 |
|---|---|
| author | Mohammad Razaur Rahman Shaon Xiao Qin Eric Jackson |
| author_facet | Mohammad Razaur Rahman Shaon Xiao Qin Eric Jackson |
| author_sort | Mohammad Razaur Rahman Shaon |
| collection | DOAJ |
| description |
Under the safe system approach, drivers will inevitably make mistakes and errors that can contribute to crashes. Driver errors are widely cited as one of the critical reasons for crash occurrence in safety literature. Despite universal acceptance, the discussion of their effects on crash injury outcomes is limited. The primary objective of this study is to quantify the effects of driver errors in the crash injury severity model at urban intersections. To obtain research objectives, driver errors were categorized as sequential events in a driving task. Combinations of driver error categories were created and ranked based on their odds-ratios with injury severity levels. Furthermore, driver impairment was considered in combination with the driver error categories to explore the compounding effects on crash consequences. Multiple ordered logit models were estimated to quantify the effect of driver errors and their interactions with driver impairment on the crash injury levels at uncontrolled, sign-controlled, and signal-controlled intersections. Improved model performance was observed when driver error combinations were modeled along with traditional crash variables. The exploration of multiple model formulations indicated that including driver impairment as an error category can yield informative inferences from both theoretical and modeling perspectives. Appropriate countermeasures were recommended for major contributing factors to improve intersection safety based on modeling results. It is expected that this study can offer specific insights into explanatory variables and help safety professionals to develop effective countermeasures.
|
| format | Article |
| id | doaj-art-c130c7dadb3345b683ceca4b304e5c8c |
| institution | DOAJ |
| issn | 2004-3082 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Technology and Society, Faculty of Engineering, LTH, Lund University |
| record_format | Article |
| series | Traffic Safety Research |
| spelling | doaj-art-c130c7dadb3345b683ceca4b304e5c8c2025-08-20T02:44:32ZengTechnology and Society, Faculty of Engineering, LTH, Lund UniversityTraffic Safety Research2004-30822025-01-01910.55329/obon4340Modeling the effects of drive error and impairment on crash injury severityMohammad Razaur Rahman Shaon0Xiao Qin1https://orcid.org/0000-0003-0073-3485Eric Jackson2https://orcid.org/0000-0001-6134-0314University of Connecticut, the United States of AmericaUniversity of Wisconsin–Milwaukee, the United States of America University of Connecticut, the United States of America Under the safe system approach, drivers will inevitably make mistakes and errors that can contribute to crashes. Driver errors are widely cited as one of the critical reasons for crash occurrence in safety literature. Despite universal acceptance, the discussion of their effects on crash injury outcomes is limited. The primary objective of this study is to quantify the effects of driver errors in the crash injury severity model at urban intersections. To obtain research objectives, driver errors were categorized as sequential events in a driving task. Combinations of driver error categories were created and ranked based on their odds-ratios with injury severity levels. Furthermore, driver impairment was considered in combination with the driver error categories to explore the compounding effects on crash consequences. Multiple ordered logit models were estimated to quantify the effect of driver errors and their interactions with driver impairment on the crash injury levels at uncontrolled, sign-controlled, and signal-controlled intersections. Improved model performance was observed when driver error combinations were modeled along with traditional crash variables. The exploration of multiple model formulations indicated that including driver impairment as an error category can yield informative inferences from both theoretical and modeling perspectives. Appropriate countermeasures were recommended for major contributing factors to improve intersection safety based on modeling results. It is expected that this study can offer specific insights into explanatory variables and help safety professionals to develop effective countermeasures. https://tsr.international/TSR/article/view/27024compounding effectdriver errorserror categorizationimpairmentinjury severity model |
| spellingShingle | Mohammad Razaur Rahman Shaon Xiao Qin Eric Jackson Modeling the effects of drive error and impairment on crash injury severity Traffic Safety Research compounding effect driver errors error categorization impairment injury severity model |
| title | Modeling the effects of drive error and impairment on crash injury severity |
| title_full | Modeling the effects of drive error and impairment on crash injury severity |
| title_fullStr | Modeling the effects of drive error and impairment on crash injury severity |
| title_full_unstemmed | Modeling the effects of drive error and impairment on crash injury severity |
| title_short | Modeling the effects of drive error and impairment on crash injury severity |
| title_sort | modeling the effects of drive error and impairment on crash injury severity |
| topic | compounding effect driver errors error categorization impairment injury severity model |
| url | https://tsr.international/TSR/article/view/27024 |
| work_keys_str_mv | AT mohammadrazaurrahmanshaon modelingtheeffectsofdriveerrorandimpairmentoncrashinjuryseverity AT xiaoqin modelingtheeffectsofdriveerrorandimpairmentoncrashinjuryseverity AT ericjackson modelingtheeffectsofdriveerrorandimpairmentoncrashinjuryseverity |