Circles of communication between connected cars

Traffic accidents may cease due to connected vehicle research in Ann Arbor MI

GM and other automakers are working with U of Michigan researchers on connected vehicle research aimed to collect data on vehicle-to-vehicle communication, which could reduce or eliminate traffic jams, traffic accidents, increase the efficiency of driving, reducing fuel use, and usher in a wave of robotically driven cars.

GM is helping to drive a critical phase of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) tests in Ann Arbor, MI, that was announced two months ago and which launched today. The company is providing eight specially equipped Buick and Cadillac vehicles for a year of real-world testing. These vehicles are part of a larger fleet of passenger cars, commercial trucks and transit vehicles in the U.S. Dept. of Transportation’s Connected Vehicle Safety Pilot Model Deployment Program.

The research program is being led by the University of Michigan's Transportation Research Institute and is looking into vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) technology to reduce collisions.

The National Highway Transportation Safety Administration (NHTSA) is scheduled to, in late 2013, look at the data to measure overall benefits of V2V and V2I technology. If successful there could be widespread deployment of V2V technology by 2020.

“Safety is our No. 1 priority, and this research could save lives and prevent injuries across America,” U.S. Transportation Secretary Ray LaHood said in a transportation department press release about the project. “With more than 30,000 people a year killed on our nation's roads, we need to keep looking for new ways to improve safety and reduce fatalities.”

What does V2V and V2I mean in practice? V2V allows vehicles to send data back and forth, directly between vehicles. This is basic information such as location, speed and direction of travel. The V2I part of the system shares information about traffic signals, road attributes and traffic conditions. In other words, with V2V vehicles have more information about the traffic around them, while with V2I vehicles gather higher level information on a larger scale.

By having information about speed and direction of surrounding cars, each car could have an automated system on-board to alert drivers of impending collisions, or to automatically modulate the car's speed to maintain a safe following distance. Some cars being sold today have a form of this capability already. For example, the 2013 Lexus RX 450h has a similar driver assist system, which gathers data using a milimeter wave radar system. What would be different between this and V2V is that cars equipped with radar are deducing the location and speed of other vehicles, whereas a V2V system would directly communicate that data.

The GM vehicles participating in the program will have production-viable integrated systems to send and receive information from other vehicles, and warning drivers when potential for a collision is detected.


Sign-up to our email newsletter for daily perspectives on car design, trends, events and news, not found elsewhere.

Share this content.


Sense airline already use some of this technology. Why not install this in passenger trains first and then any equipment running on the same track as passenger trains. This would make an easy test study lab. The trains follow a track (vs a plane that has 3 directions of travel) and there is a much more limited number of trains (vs cars and trucks). This can also work the kinks out of the traffic controlled crossings and train signal lighting in an already controlled system.