The day when cars can talk to each other – and to traffic lights, stop signs, guardrails and even pavement markings – is rapidly approaching. Driven by the promise of reducing traffic congestion and avoiding crashes, these systems are already rolling out on roads around the U.S.
For instance, the Intelligent Traffic Signal System, developed with support from the U.S. Department of Transportation, has been tested on public roads in Arizona and California and is being installed more widely in New York City and Tampa, Florida. It allows vehicles to share their real-time location and speed with traffic lights, which can be used to effectively optimize the traffic timing in coordination with the real-time traffic demand to dramatically reduce vehicle waiting time in an intersection.
Our work, from the RobustNet Research Group and the Michigan Traffic Laboratory at the University of Michigan, focuses on making sure these next-generation transportation systems are secure and protected from attacks. So far we’ve found they are in fact relatively easy to trick. Just one car that’s transmitting fake data can cause enormous traffic jams, and several attack cars could work together to shut down whole areas. What’s particularly concerning is that our research has found the weakness is not in the underlying communication technology, but in the algorithms actually used to manage the traffic flow.