Motor vehicle crashes are the leading cause of deaths for police officers. These crashes have been mainly attributed to the use of in-vehicle technologies while driving. Advanced driver-assistance systems (ADAS) have the potential to improve officer safety by removing some of driver-vehicle control responsibilities. Although current ADAS in police vehicles can adapt to emergencies and provide multi-modal alerts, there has been little research on how ADAS can reduce driving task demands in situations that officers are also engaged in secondary-tasks while driving. The objective of this project is to evaluate ADAS in police vehicles. This project will investigate how ADAS features should adapt in situations of multi-tasking and what types of ADAS are most effective for improving driver safety. This project includes two phases including (1) ADAS needs and implementation analysis in police vehicles; and (2) evaluation of police ADAS in a driving simulation study. The first phase includes ride-along observations and focus group meetings with officers to understand their ADAS needs and current systems in police vehicles. The second phase will evaluate ADAS in high-demand situations using a high-fidelity driving simulator. Fifty (50) police officers will be recruited through our collaboration with Texas A&M Engineering Extension Services (TEEX). 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. This project addresses safety in the primary area of automated vehicles and secondary application areas of vehicle technology, planning for safety, and driver factors and interfaces.
Nasr, V., Wozniak, D., Shahini, F., Zahabi, M. (under review)Application of Advanced Driver-Assistance Systems in Police Vehicles. Submitted to Transportation Research Board Conference.
Wozniak, D., Shahini, F., Nasr, V., Zahabi, M. (Under review) Analysis of Advanced Driver Assistance Systems in Police Vehicles: A Survey Study. Submitted to Transportation Research Part F: Traffic Psychology and Behavior.
Start Date: 2020-05-01
End Date: 2022-03-31
Grant Number: 69A3551747115
Total Funding: $199,970
Source Organization: Safe-D National UTC
Project Number: TTI-05-02
Driver Factors and Interfaces
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC 20590 United States
Texas A&M University
Texas A&M Transportation Institute
College Station, Texas 77843-3135