Connected and automated vehicles could provide relief from traffic lights and speeding tickets, by adjusting to driving conditions with little to no input from drivers. When the car in front of you speeds up, yours would accelerate, and when the car in front of you slows to a stop, your car would stop, too.
At the University of Delaware, researches uses control theory to develop algorithms that will enable this technology of the future. These innovations in connected and automated vehicle technology pioneered in two laboratories at the University, the UD Scaled Smart City (UDSSC) testbed and a driving simulator facility.
They developed a solution to regulate and reduce energy consumption in connected and automated vehicles crossing an urban intersection that lacked traffic signals. The researchers then they used software to simulate their results and found that their framework allowed connected and automated vehicles to conserve momentum and fuel while also improving travel time.
Simulations show that the connected vehicles use 19 to 22 percent less fuel and reach their destinations 26 to 30 percent faster than human-driven vehicles.