Communications of the ACM
Connected Autonomous Vehicles Make Intersections Safer
The ability of connected autonomous vehicles to communicate with infrastructure and other vehicles could significantly decrease the number of collisions attributed to human error, while helping transportation agencies better manage traffic flow and emerge
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AScientists at Arizona State University (ASU) and Carnegie Mellon University are enhancing intersection safety with connected autonomous vehicles (CAVs) and distributed real-time systems.
An ASU algorithm manages traffic at an intersection through which CAVs employing a time-sensitive programming model are passing; the programmers can deploy their program at a macro level as one application, which their compilation algorithm automatically deconstructs into parts that must be executed on the different elements of the computing system.
ASU's Edward Andert said the team ported the project to run on TickTalk Python, a macro coding language that expresses the distributed system's functionality and particularizes timing requirements among the app's events.
Vehicles must transmit their sensor information, along with a request to enter the intersection, while a camera pointed at the intersection confirms their position and the positions of what the vehicles see.
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