Enhancing Vulnerable Road User Safety at Signalized Intersections Through Cooperative Perception and Driving Automation: Final Report
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2024-10-01
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Abstract:Walking and biking are increasingly popular modes of travel and exercise in urban and suburban areas and are promoted by initiatives from the U.S. Department of Transportation and other U.S. Government agencies, such as Complete Streets, to reduce congestion and emissions and foster a healthy lifestyle. However, despite a decline in overall transportation-related fatalities due to various safety strategies, the fatality rate for vulnerable road users (VRUs) continues to rise, highlighting the critical need to enhance VRU safety at urban signalized intersections. Emerging technologies in transportation, such as cooperative driving automation and cooperative perception (CP), present promising opportunities to improve VRU safety at intersections. This project capitalizes on these technologies by developing a CP VRU safety application to be applied at signalized intersections where information about the infrastructure detected VRUs is sent out to vehicles within communication range to increase their situational awareness and to ensure safety. This system focuses on data fusion (DF) and communication capabilities for both infrastructure and vehicles. By leveraging CP and DF from infrastructure and cooperative automated driving systems-equipped vehicles, the safety of all road users within the communication range is enhanced. This CP VRU safety application, evaluated in a simulation environment, demonstrated significant safety improvements for VRUs at signalized intersections. For the selected test scenarios, the application could prevent 98 percent of VRU crashes compared to the base scenario where no CP VRU safety application was used.
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