Analysis of Advanced Driver-Assistance Systems in Police Vehicles
Funded by: Safety through Disruption (Safe-D) University Transportation Center (UTC)
Objective: This project investigates how advanced driver-assistance systems (ADAS) should be designed and implemented in police vehicles to improve driver safety. The outcomes will provide practical guidelines to automotive companies supplying police vehicles regarding effective ADAS features/types and can improve officer safety in police operations. We have recently completed Phase 1 of this project. The guidelines generated from the findings of this phase can be found here.
Law Enforcement In-vehicle Technology Design, Training, and Driving Distraction
The goal of this project is to design police in-vehicle technology interfaces to improve multitasking behavior and reduce driving distractions, especially in emergency situations. In addition, we are focused on assessing training procedures to improve officer cognitive performance under high workload conditions.
Modeling Emergency Responder Interactions with In-vehicle Technologies
The goal of this project is to identify the most physically and cognitively demanding human-technology interactions in emergency vehicles using state-of-the-art biomechanical and cognitive performance modeling techniques.
Highly automated police vehicle
The objective of this project is to assess the impact of levels of automation on police officer performance and safety. We are specifically interested in investigating take over performance in safety-critical situations such as police pursuit.