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Zhang R, Shuai B, Huang W, Zhang S. Identification and screening of key traffic violations: based on the perspective of expressing driver's accident risk. Int J Inj Contr Saf Promot 2024; 31:12-29. [PMID: 37585709 DOI: 10.1080/17457300.2023.2245804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 07/28/2023] [Accepted: 08/03/2023] [Indexed: 08/18/2023]
Abstract
Drawing on the core idea of Propensity Score Matching, this study proposes a new concept named Historical Traffic Violation Propensity to describe the driver's historical traffic violations, and combines the new concept with an improved mutual information-based feature selection algorithm to construct a method for screening key traffic violations from the perspective of expressing driver's accident risk. The validation analysis based on the real data collected in Shenzhen demonstrated that drivers' state of Historical Traffic Violation Propensity on 19 key traffic violations screened have a stronger predictive ability of their subsequent accidents compared to the level in existing research. The positive state of Historical Traffic Violation Propensity on 'Drinking', 'Parking in dangerous areas', 'Wrong use of turn lights', 'Violating prohibited and restricted traffic regulations', and 'Disobeying prohibition sign' will increase the probability of a driver's subsequent accident by more than 1.7 times. The research provides directions to more efficiently and accurately capture the driver's accident risk through historical traffic violations, which is valuable for identifying high-risk drivers as well as the key psychological or physical risk factors that manifest in daily driving activities and lead to subsequent accidents.
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Affiliation(s)
- Rui Zhang
- School of Transportation and Logistics, Southwest Jiaotong University, Chengdu Sichuan, China
- Institute of System Science and Engineering, Southwest Jiaotong University, Chengdu Sichuan, China
- National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu Sichuan, China
- School of Economics and Management, Chang'an University, Xi'an Shanxi, China
| | - Bin Shuai
- School of Transportation and Logistics, Southwest Jiaotong University, Chengdu Sichuan, China
- Institute of System Science and Engineering, Southwest Jiaotong University, Chengdu Sichuan, China
- National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu Sichuan, China
- School of Economics and Management, Chang'an University, Xi'an Shanxi, China
| | - Wencheng Huang
- School of Transportation and Logistics, Southwest Jiaotong University, Chengdu Sichuan, China
- Institute of System Science and Engineering, Southwest Jiaotong University, Chengdu Sichuan, China
- National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu Sichuan, China
- School of Economics and Management, Chang'an University, Xi'an Shanxi, China
| | - Shihang Zhang
- School of Transportation and Logistics, Southwest Jiaotong University, Chengdu Sichuan, China
- School of Economics and Management, Chang'an University, Xi'an Shanxi, China
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Classen S, Wandenkolk IC, Mason J, Stetten NE, Yarney A, Winter S. Simulated Driving Errors: Indicators of Real-World Driving Events in Returning Combat Veterans. OTJR-OCCUPATION PARTICIPATION AND HEALTH 2023; 43:616-625. [PMID: 36408831 DOI: 10.1177/15394492221136072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Abstract
Motor vehicle crashes is a leading cause of death for Veterans. We quantified the efficacy of an Occupational Therapy Driving Intervention (OT-DI) and a Traffic Safety Education (TSE) intervention on real-world driving in combat Veterans. Via a randomized trial, we assessed 42 Veterans' fitness-to-drive abilities using a CDS-250 driving simulator and driving records, to determine differences in simulated driving and real-world events pre- and post-interventions. The OT-DI group (vs. TSE) had fewer over-speeding errors (p < .001) and total number of driving errors (p = .002) post-intervention. At Post-Test 2, the OT-DI (vs. TSE) had a reduction in real-world speeding (p = .05). While statistically not significant, both interventions showed reductions in real-world speeding, number of violations (OT-DI: 23% and TSE: 46% decrease) and crashes (OT-DI: 25% and TSE: 50% decrease). Veterans showed early evidence of efficacy in improving their real-world fitness-to-drive abilities via an OT-DI and TSE intervention.
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