Skip to Main Content
The automobile of the future will be programmable for network-based active safety and real-time traffic congestion probing and prediction. To realize this goal, we present three contributions toward the foundations of Automotive-CPS: (a) GrooveNet - a vehicle-to-vehicle network virtualization platform that enables communication between hundreds of virtual vehicles and real vehicles on the same street map and using the same communication protocols and network algorithms. (b) Bounded Latency Broadcast Protocols for multi-hop communication of safety alerts for active networked safety and (c) AutoMatrix - a GPU-based vehicular traffic congestion simulator that can simulate over 5 million networked vehicles for real-time traffic congestion probing and prediction. Given these building blocks, we believe that Automotive-CPS wireless networks will make driving safer, more efficient and of course, more enjoyable.