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Developing a two-stage auditory warning system for safe driving and eco-driving at signalized intersections: A driving simulation study.
Zhang, Yuting; Li, Xiaomeng; Yu, Qian; Yan, Xuedong.
Afiliación
  • Zhang Y; College of Transportation Engineering, Chang'an University, Xi'an 710064, PR China.
  • Li X; Queensland University of Technology (QUT), Centre for Accident Research and Road Safety-Queensland (CARRS-Q), Kelvin Grove, Queensland 4059, Australia. Electronic address: xiaomeng.li@qut.edu.au.
  • Yu Q; College of Transportation Engineering, Chang'an University, Xi'an 710064, PR China.
  • Yan X; MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, PR China.
Accid Anal Prev ; 175: 106777, 2022 Sep.
Article en En | MEDLINE | ID: mdl-35901607
ABSTRACT
In-vehicle intersection warning systems represent a promising approach for informing drivers of potential danger to reduce crashes and improve intersection safety. However, there is limited research on drivers' eco-driving performances, such as fuel consumption and emission, when drivers adapt their behaviors to the systems. In this study, an innovative two-stage in-vehicle intersection warning system was proposed to reduce red-light running (RLR) violations. Forty-five drivers participated in a simulated driving experiment and their driving performances at the intersections were evaluated to examine the effectiveness of the warning system. The measures included stop/go decision, RLR rate, average speed and deceleration, brake transition time, brake level, fuel consumption, and emission of CO and NOx. The results indicated that the warning system had a positive effect on drivers' safe driving and eco-driving performances, such as reducing the RLR rate, advancing and smoothing the deceleration and reducing fuel consumption and emission. Moreover, the impact of warning on drivers' performances varied with the time to the onset of yellow light. The research has practical implications for the automobile industry to use vehicle-to-infrastructure technology in the design of in-vehicle warning systems to improve driver behaviors at intersections.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Conducción de Automóvil / Accidentes de Tránsito Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Accid Anal Prev Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Conducción de Automóvil / Accidentes de Tránsito Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Accid Anal Prev Año: 2022 Tipo del documento: Article