Effect of auditory in-vehicle warning information on drivers’ brake response time to red-light running vehicles during collision avoidance

Xiang, Wang; Yan, Xuedong; Weng, Jinxian; Li, Xiaomeng

doi:10.1016/j.trf.2015.12.002

Cited by 44 publications

(5 citation statements)

References 37 publications

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“…Prior studies have found that voice warnings can improve driver attention and reduce the response time of drivers [34,35]. The addition of voice warnings to the CMS plan has transformed the guidance signage from a single visual form to both visual and auditory forms.…”

Section: Discussionmentioning

confidence: 99%

Effects of Object-Oriented Advance Guidance Signage on Lane-Changing Behaviors at the Mainline Toll Stations of Expressways

Wang

Xiang

et al. 2023

Sustainability

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China has actively promoted electronic toll collection (ETC), increasing the proportion of ETC vehicles, and the number of ETC lanes at mainline toll stations has exceeded that of manual toll collection (MTC) lanes. To investigate the effects of ETC and MTC vehicles as guidance objects on the lane-changing behaviors of drivers, we designed three guidance signal plans, including the original sign plan (OR), a complete MTC sign plan (CMS), and a complete MTC sign plan with voice warnings (VW&CMS), for expressway mainline toll lanes. A driving simulator experiment with 40 participants was conducted to evaluate the efficacy of the plans. Generalized estimating equations were used to analyze the characteristics of lane-changing behaviors in different guidance plans, and an entropy weight model using the technique of ranking the order of preference by its similarity to the ideal solution (TOPSIS) was constructed to evaluate the guidance effects of different plans. The results showed that the CMS and VW&CMS plans significantly improved lane-changing behaviors. This improvement is demonstrated by a higher lane-changing ratio, shorter response time, earlier initiation of lane-changing location, higher speed, lower deceleration rate, and longer lane-changing duration distance. These findings can help expressway designers to optimize the guidance-sign system for mainline toll stations.

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Section: Discussionmentioning

confidence: 99%

Effects of Object-Oriented Advance Guidance Signage on Lane-Changing Behaviors at the Mainline Toll Stations of Expressways

Wang

Xiang

et al. 2023

Sustainability

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“…Studies conducted at the Virginia Department of Transportation (VDOT) indicated that the reduction in available visibility distance would reduce vehicles’ speed ( 22 ). The reason behind this correlation is that, under limited visibility, drivers would reduce their speed to keep sufficient stopping distance given that drivers’ perception-reaction time is similar under foggy and clear weather conditions ( 23 – 25 ). The results of crash analyses showed that the presence of fog with visibility of lower than 360 ft greatly increases the proportions of rear-end crashes and multi-vehicle crashes.…”

Section: Introductionmentioning

confidence: 99%

Driving Simulator Trajectory-Level Analysis of Truck Drivers’ Behavioral Alteration in Connected Vehicles Environment Under Fog with Complex Roadway Geometry

Bakhshi

Ahmed

2022

Transportation Research Record: Journal of the Transportation R

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Foggy weather increases crash likelihood when coinciding with roadway geometry changes inconsistent with drivers’ expectations. The situation might be exacerbated for heavy trucks having to evade critical safety events because of the vehicles’ maneuverability limitations, imposing prime safety challenges on major freight corridors like Interstate-80 (I-80) in the U.S. Aligned with the connected vehicle (CV) pilot program on I-80 in Wyoming, this study intends to unveil how CV technology alleviates safety concerns in this regard. To this aim, a with/without analysis approach was performed utilizing a high-fidelity truck driving simulator. Twenty-three professional truck drivers were recruited to drive the simulator in CV scenario with traveler information messages, including foggy weather ahead and an advisory speed of 45 mph, and in a non-CV counterpart without notifications. Longitudinal and lateral drivers’ behaviors were quantified by kinematic-based surrogate measures of safety (K-SMoS) characterized on vehicles’ trajectory, including longitudinal speed, lateral speed, steering, their corresponding spatial standard deviations, and the coefficient of variation of longitudinal speed. The central tendency and dispersion of K-SMoS distributions were compared between CVs and non-CVs throughout the simulated roadway. Results showed immediate truck drivers’ compliance to CV notifications, which was more apparent in their longitudinal driving behaviors. On a horizontal curve with poor visibility, statistically significant reductions in central tendency and dispersion of K-SMoS distributions up to 67% in CVs were observed, minimizing the crash risk in CV environments. Besides, findings revealed that exposure to the CV notifications minimized drivers’ behavior uncertainty, manifesting in their improved situational awareness and enhancing the safety performance of the traffic stream.

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“…1 RLR crashes are generally angular collisions between red-light runners and vehicles with right-of-way, which result in a great fatal and injury rate. 2 According to the Insurance Institute for Highway Safety (IIHS), 3 there were 771 people killed and an estimated 137,000 people injured in crashes in the United States during 2015 just because of RLR. Based on the statistics provided by the Ministry of Public Security, RLR led to 789 fatalities and 4227 severe injury crashes in China from January to October 2012.…”

Section: Introductionmentioning

confidence: 99%

A novel model of increasing block fine for red-light running recidivism

Xiong

Zhang

et al. 2019

Advances in Mechanical Engineering

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Red-light running is one of the major causes for traffic crashes at signalized intersection. In addition to traffic engineering and management measures, enforcement countermeasures are employed to encourage drivers to comply with traffic signal through the threat of penalty points and fine. However, the fine associated with red-light running is fixed no matter how many times one vehicle violates red signal during a given period. Such issue results in little deterrence effectiveness of fine for red-light running recidivism. Therefore, the objective of this study is to explore a novel model of increasing block fine structure based on the number of one vehicle committing red-light running in 1 year so as to prevent red-light running recidivism. First, using optimal partition method, the number of one vehicle committing red-light running in 1 year is categorized into a few groups that are regarded as the blocks for an increasing block fine structure. Second, the price elasticity is introduced and discussed to determine the changed number of red-light running and corresponding fine at each block. Third, an optimization model is proposed to determine the varying fine at each block and solved via the simulated annealing algorithm. After that, a case study is conducted to verify the validity of the developed model. The results indicate that this novel fine structure can effectively deter red-light running recidivism from running red signal. In addition, the fine structure established in this research not only offsets the defect of the present fine structure but also reduces red-light running to some extent.

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Effect of auditory in-vehicle warning information on drivers’ brake response time to red-light running vehicles during collision avoidance

Cited by 44 publications

References 37 publications

Effects of Object-Oriented Advance Guidance Signage on Lane-Changing Behaviors at the Mainline Toll Stations of Expressways

Effects of Object-Oriented Advance Guidance Signage on Lane-Changing Behaviors at the Mainline Toll Stations of Expressways

Driving Simulator Trajectory-Level Analysis of Truck Drivers’ Behavioral Alteration in Connected Vehicles Environment Under Fog with Complex Roadway Geometry

A novel model of increasing block fine for red-light running recidivism

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