Evaluation of driver performance with a prototype cyber physical mid-block crossing advanced warning system

• Published in: Journal of safety research Vol. 79; pp. 237 - 245
• Main Authors: Angulo, Austin Valentine, Smith, Brian L.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.12.2021; Elsevier Science Ltd
• Subjects: Acceptance; Accidents, Traffic - prevention & control; Automobile Driving; Cellular; Cellular communication; Cities; Communications systems; Connected vehicle; Crashes; Cyber physical system; Driver behavior; Electronic devices; Eye movements; Geofences; Humans; In vehicle; Message; Messages; Pedestrian; Pedestrian crossings; Pedestrian safety; Pedestrians; Regression analysis; Safety; Technology; Warning systems; Cities; Pedestrian; Connected vehicle; Cellular; Safety; Message; Cyber physical system
• ISSN: 0022-4375; 1879-1247; 1879-1247
• DOI: 10.1016/j.jsr.2021.09.004

•Drivers found the advanced warning increased their awareness of the pedestrian.•Drivers were 1.79-2.44 and times more likely to stop for the pedestrian when warned.•Age, time of day, and warning message all had significant impacts on behavior. Introduction: Using connected vehicle technologies, pedestrian to vehicle (P2V) communication applications can be installed on smart devices allowing pedestrians to communicate with drivers by broadcasting discrete safety messages, received by drivers in-vehicle, as an alternative to expensive fixed-location physical safety infrastructure. Method: This study consists of designing, developing, and deploying an entirely cyber-physical P2V communication system within the cellular vehicle to everything (C-V2X) environment at a mid-block crosswalk to analyze drivers’ reactions to in-vehicle advanced warning messages, the impacts of the advanced warning messages on driver awareness, and drivers’ acceptance of this technology. Results: In testing human subjects with, and without, advanced warning messages upon approaching a mid-block crosswalk, driver reaction, acceptance, speed, eye tracking data, and demographic data were collected. Through an odds ratio comparison, it was found that drivers were at least 2.44 times more likely to stop for the pedestrian with the warning than without during the day, and at least 1.79 times more likely during the night. Furthermore, through binary logistic regression analysis, it was found that driver age, time of the day, and the presence of the advanced warning message all had strong, significant impacts with a confidence value of at least 98% (p < 0.02) on the rate at which drivers stopped for the pedestrian. Conclusions: The results from this study indicate that the advanced warning message sent within the C-V2X had a strong, positive impact on driver behavior and understanding of pedestrian intent. Practical Applications: Pedestrian crashes and fatality rates at mid-block crossings continue to increase over the years. Connected vehicle technology utilizing smart devices can be used as a means for communications between pedestrians and drivers to deliver safety messages. State and local city planners should consider geofencing designated mid-block crossings at which this technology operates to increase pedestrian safety and driver awareness.