This article was originally published in Catalyst, August 2021.
With the arrival of its fully outfitted autonomous vehicle in July, the University’s MnCAV Ecosystem is ready to facilitate research and testing of sensing technologies, vehicle control, platooning, traffic patterns, and other topics related to connected and autonomous vehicles (CAVs).
Continue reading State-Of-The-Art Vehicle to Drive CAV Research
While commercially available self-driving vehicles may still be decades away, an increasing number of vehicles on the market offer advance driver assistance systems (ADAS). For example, ADAS features include adaptive cruise control, steering automation, and hands-free steering.
Continue reading New Project: Tool to Estimate the Safety Impact of Vehicle Levels of Automation on Minnesota Roads
As autonomous vehicles (AVs) become increasingly more numerous on roadways, they have the potential to substantially alter traffic flow. New vehicles today have many driver-assisting (or SAE Level 1) features—such as adaptive cruise control, parking assistance, collision avoidance, emergency braking and lane-keeping assistance—which still require a hands-on driver. However, as technology advances toward eventual SAE Level 4 automation, vehicles will be able to function without drivers, which will likely change the shape of traffic flow.
Continue reading New Project: Influence of Autonomous and Partially Autonomous Vehicles on Minnesota Roads