Saxton Transportation Operations Laboratory TO-13004: Simulation for Research on Automated Longitudinal Vehicle Control
Cooperative adaptive cruise control (CACC) is a promising near-term application that could significantly improve the quality of the driving experience by reducing the stress and burden of driving on freeways and by improving the stability and safety of the traffic stream by reducing speed variations and consequent shock waves. The CACC application would be enabled by vehicle sensors, vehicle-vehicle communication, improved positioning, related technologies on vehicles, and, potentially, complementary technology on the roadway infrastructure as well. Near-term deployments of CACC can be expected to be evolutionary and build upon the technological foundations and consumer experience of adaptive cruise control (ACC), while retaining many of the features of ACC, including car-following rules that still allow drivers time to intervene in emergencies and hence preserve safety margins. But even early CACC systems are expected to provide significant mobility, safety, and driver comfort benefits. This project would identify and analyze alternative early CACC service concepts, including the formation and use of platoons of CACC-enabled vehicles, to assess the range of possible benefits. Alternative operational factors including percentage of CACC-equipped vehicles, the formation and maintenance of platoons, interactions with nonequipped vehicles, effects of different vehicle types, and the use of dedicated or otherwise managed lanes, and driver choices as to gaps for car following will be analyzed using traffic microsimulation models.
- Conduct a review of current practices of automated longitudinal control (ALV).
- Develop a test plan for and select ALV test scenarios.
- Execute simulation of ALV including CACC.
- Saxton Transportation Operations Laboratory