Objective: This article discusses the results of a simulator experiment to examine the efficacy of a collision warning system for transit bus operators.
Methods: Bus operators from a major metropolitan transit agency were assigned to one of three conditions: a collision warning system with a visual-only driver-vehicle interface, a collision warning system with a visual and auditory driver-vehicle interface, or no collision warning system (baseline). Operators were exposed to a critical event at the end of the simulation, in which a vehicle suddenly stopped in front of the bus while the operator was distracted by an in-vehicle task. Upon completing the experiment, operators who used the collision warning system were asked about their experience using the system, as well as whether or not they would like such a system in real life.
Results: Experimental results revealed new information about transit bus operator performance, but indicated no statistically significant differences among the three conditions. Subjective data indicated that operators had a positive attitude toward collision warning system usage. Operators generally liked the collision warning system and felt that a system such as the one used in the experiment would help them in avoiding crashes in the real world.
Conclusions: These findings suggest that a collision warning system for transit bus operators is feasible from the perspective of user acceptance. However, several technical areas still need to be resolved.
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http://dx.doi.org/10.1080/15389580590969247 | DOI Listing |
Accid Anal Prev
January 2025
Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 211189, China; School of Transportation, Southeast University, Nanjing 211189, China. Electronic address:
Blind spot collisions are a critical and often overlooked threat to pedestrian safety, frequently resulting in severe injuries. This study investigates the impact of automated vehicles equipped with external human-machine interfaces (eHMIs) on pedestrian crossing behavior and safety, focusing on scenarios where AVs create mutual blind spots between pedestrians and adjacent traffic. A virtual reality experiment with 51 participants simulated crossing situations in front of yielding trucks with obstructed pedestrian visibility, featuring three eHMIs: 'Walk,' 'Don't Walk,' and 'Caution! Blind Spots'.
View Article and Find Full Text PDFAccid Anal Prev
March 2025
College of Metropolitan Transportation, Beijing University of Technology, Beijing, China.
Mixed platoon with a human-driven leading vehicle may be a transition mode prior to the widespread adoption of fully autonomous platoon. Enhancing the driving safety of the leading vehicle driver is crucial for improving the overall operational safety of the mixed platoon. Predictive-Forward-Collision-Warning (PFCW), an emerging technology in transportation, holds promise in mitigating collision risks for drivers by presenting traffic information beyond their immediate visual range.
View Article and Find Full Text PDFAppl Bionics Biomech
December 2024
Department of ECE, Adama Science and Technology University, Adama, Ethiopia.
The accident mortality rates are rapidly increasing due to driver inattention, and traffic accidents become a significant problem on a global scale. For this reason, advanced driver assistance systems (ADASs) are essential to enhance traffic safety measures. However, adverse environmental factors, weather, and light radiation affect the sensors' accuracy.
View Article and Find Full Text PDFJ Pharm Policy Pract
December 2024
Infection Control Program, University of Geneva Hospitals and Faculty of Medicine, WHO Collaborating Center, Geneva, Switzerland.
Background: An explosion in a Chinese factory in 2016 caused a global shortage of essential broad-spectrum antibiotic piperacillin-tazobactam. Hitherto, no detailed, policy-relevant analysis has been conducted on this major shortage event. Thus, we aimed to (1) investigate causes; (2) describe supply chain challenges; and (3) uncover policy gaps to support possible mitigation actions.
View Article and Find Full Text PDFAccid Anal Prev
February 2025
Department of Civil and Urban Engineering, C2SMARTER Center, New York University, 6 MetroTech Center, Brooklyn, NY 11201, USA.
Understanding drivers' reactions to in-vehicle forward collision warnings (FCWs) is vital for advancing FCW design and improving road safety. However, past studies often used aggregated safety measures to analyze the drivers' reactions to FCWs, thereby at the microscopic level, limiting our ability to understand drivers' reactions to FCWs at particular timestamps immediately after FCWs are issued. Additionally, there has been a notable absence of studies at the macroscopic perspective focusing on analyzing how drivers' reactions to FCWs evolve over an extended period of time.
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