Michigan State Police Tests 1999 Patrol Vehicles
Date Published
October 1998
Agencies
NIJ-Sponsored
Publication Type
Test/Measurement
Vehicles
In the Best Light
Date Published
October 2007
Agencies
NIJ-Sponsored
Publication Type
Issue Overview
Police Vehicle Evaluation Model Year 2006
Date Published
October 2005
Agencies
NIJ-Sponsored
Publication Type
Best Practice/State-of-the-Art Review
Michigan State Police Tests 2004 Patrol Vehicles
Date Published
January 2004
Agencies
NIJ-Sponsored
Publication Type
Best Practice/State-of-the-Art Review
Vehicle Tracking Devices - NIJ Standard-0223.00
Date Published
May 1986
Agencies
NIJ
Publication Type
Test/Measurement,
Standard
Michigan State Police Tests 2005 Patrol Vehicles
Date Published
December 2004
Agencies
NIJ-Sponsored
Publication Type
Best Practice/State-of-the-Art Review
1998 Model Year Patrol Vehicle Testing
Date Published
October 1997
Agencies
NIJ-Sponsored
Publication Type
Test/Measurement,
Best Practice/State-of-the-Art Review,
Program/Project Evaluation
Michigan State Police Tests 2004 Patrol Vehicles, Bulletin
Date Published
January 2004
Agencies
NIJ-Sponsored
Publication Type
Program/Project Evaluation
Michigan State Police Tests 2002 Patrol Vehicles
Date Published
November 2001
Agencies
NIJ-Sponsored
Publication Type
Best Practice/State-of-the-Art Review
Equipment Performance Report: 1997 Patrol Vehicle Tires
Date Published
August 1997
Agencies
NIJ-Sponsored
Publication Type
Program/Project Description
Model Year Police Vehicle Evaluation 2019
Date Published
November 2018
Agencies
NIJ-Sponsored
Publication Type
Program/Project Evaluation,
Report (Annual/Periodic),
Program/Project Description
Law Enforcement Vehicle Lighting and Reflectivity Studies: An Overview
Date Published
2019
Agencies
NIJ-Sponsored
Publication Type
Research (Applied/Empirical),
Issue Overview
Cybersecurity and Safety Challenges in Autonomous Vehicles: Threats Identification and Countermeasures Development
2017-R2-CX-0001
Closed
Funding First Awarded
2019
$47,131
Preventing Officer Fatalities by Better Understanding Specific Incidents
Date Published
July 2017
Agencies
NIJ
Publication Type
Research (Applied/Empirical)
Improving Officer Safety on the Roadways
Journal
NIJ Journal
Date Published
November 2018
Agencies
NIJ
Publication Type
Research (Applied/Empirical),
Program/Project Evaluation
Second Progress Report: NIJ's Response to "Strengthening the National Institute of Justice"
Message from NIJ Director John H. Laub in response to the report Strengthening the National Institute of Justice by the Committee on Assessing the Research Program of the National Institute of Justice at the National Research Council.
This page provides updates on our response to the results of an evaluation by The National Academy of Sciences that examined NIJ capacity for meeting the needs of...
Equipment Performance Report: 2011 Patrol Vehicle Tires, July 2011
Date Published
July 2011
Agencies
NIJ-Sponsored
Publication Type
Test/Measurement,
Best Practice/State-of-the-Art Review
Model Year Police Vehicle Evaluation 2018
Date Published
November 2017
Agencies
NIJ-Sponsored
Publication Type
Program/Project Evaluation,
Program/Project Description
Improving Officer Safety on the Roadways
Date Published
November 11, 2018
NIJ and the National Institute for Occupational Safety and Health have teamed up to help prevent officer fatalities from motor vehicle crashes and roadside incidents.
Reducing Traffic Related Officer Fatalities and Injuries through Technology Enhancement and Policy
2018-R2-CX-0024
Closed
Funding First Awarded
2018
$496,184
Harnessing Existing Technologies to Mitigate Driving Distraction Among Law Enforcement Officers
2018-R2-CX-0025
Closed
Funding First Awarded
2018
$464,621
Cybersecurity and Safety Challenges in Autonomous Vehicles: Threats Identification and Countermeasures Development
2017-R2-CX-0001
Closed
Funding First Awarded
2018
$50,000
Unmanned Aircraft Systems Can Support Law Enforcement in Crash Scene Reconstruction
Date Published
April 9, 2018
NIJ-funded study shows Unmanned Aircraft Systems (UAS) can help law enforcement investigate traffic accidents more quickly and efficiently.