ed’s note: This week, we’re featuring a short series of articles from our board member Juan Matute on what he’s thinking about technology and transportation.
I have the opportunity to be involved in a lot of interesting research as the Associate Director of the UCLA Institute of Transportation Studies. Over the past year, I’ve been involved with our study of policy, behavioral, and market research to better understand opportunities and challenges for connected vehicles implementation.
The study’s formal title is NeTS:Large: Collaborative Research: Closing the loop between traffic/pollution sensing and vehicle route control using traffic lights and navigators, so we call it Green City Transportation Architecture. It’s funded by the National Science Foundation and is more exploratory than applied. Don’t expect to see the research project’s results become commercialized in the near term.
We’ve supported a team of computer scientists looking to optimize vehicle traffic flow within cities and regions through the use of connected “smart” traffic signals, a central navigation server (think Waze Plus), and a dynamic congestion charge. Implementing such a system requires vehicle-to-vehicle and vehicle-to-infrastructure connectivity, which is the focus of this article.
Vehicles must be aware of their environment in order to respond to it. Automated but unconnected vehicles are limited to one-way line-of-sight scanning to assess their environment. Connected vehicles use data connectivity to communicate with infrastructure and other vehicles, including those outside the line-of-sight, either around curves or more than one vehicle ahead. Connectivity enables data communication for an activity that’s largely dependent on visual communication (presence of vehicles, stop signs, lane paint, etc.), aural communication (honking), and a set of rules of the road. We’ve already seen the possibilities of data communication between vehicles (or their occupants’ smartphones) and central servers, but there are much greater possibilities from vehicle-to-vehicle and vehicle-to-infrastructure connectivity.
Many of the benefits that people associate with vehicle automation actually come from vehicle connectivity. Adaptive cruise control, where a trailing vehicle automatically speeds up or slows down to maintain separation from the vehicle in front of it, is a vehicle automation feature. However, the biggest increase in vehicle throughput only comes from adaptive cruise control with multi-car platoons, which requires vehicle connectivity Read more…