Programs & Labs
Subhead H2
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Featured Studies
ITS Institute research is focused on developing effective, deployable applications to improve transportation safety and efficiency
Cooperative Intersection Collision Avoidance Systems (CICAS)
The ITS Institute is part of a national consortium developing new technologies to reduce intersection crashes. This research focuses on an infrastructure-based driver-assistive system to help prevent collisions at rural highway intersections without disrupting traffic flow.
Rural Intersection Decision Support
Rural through-stop highway intersections are the scenes of numerous fatalities and injuries every year. This research focuses on new technological solutions to improve safety.
Teen Drivers
Young drivers are disproportionately represented in crash statistics, due to a combination of inexperience and high-risk behavior. This research develops in-vehicle systems to encourage safe driving by teens, and support effective parental supervision of inexperienced drivers.
Ramp Metering
Ramp metering is used to improve the flow of traffic on urban freeway systems by controlling the rate at which vehicles enter the roadway. These studies focus on evaluating and optimizing the control algorithms of ramp meters, using simulation and modeling techniques.
Bus Rapid Transit (BRT) Systems
BRT combines many of the advantages of commuter rail service with the flexibility and low infrastructure cost of bus transit. This research is aimed at supporting the operation of BRT routes on road shoulders or in dedicated lanes through specialized driver-assistive systems.
Driver Assistive Technologies
Technologies such as Global Positioning System (GPS) navigation and vehicle-mounted sensors, combined with knowledge of driver behavior and cognition, enable a variety of new systems to help drivers operate more safely and efficiently. These technologies are applicable to special-purpose uses such as snowplows and emergency response vehicles, as well as to private passenger vehicles.
Transportation Security
Securing the national transportation system against crime and terrorist activity is an important component of national security. This research uses computer vision techniques to automate the monitoring of public spaces such as airports and rail terminals.