ROVR | Real-Time Operational Vehicle Reporting

In most industries, driving is the most dangerous part of the job. The core function of ROVR is to monitor and report useful insights about the performance of your drivers and prevent accidents and deaths. ROVR integrates with Scorecard to provide drivers and managers with a better understanding of driving behavior patterns. ROVR is so effective at showing areas for improvement that companies using ROVR see as much as a 90% reduction in crash rates in the first year of use, leading to lower overall operating costs.

How ROVR works

ROVR installs into a vehicle’s Onboard Diagnostic Port (OBD) in 30 seconds or less, then collects and analyzes real-time data whenever the engine is running. The three primary metrics ROVR measures are speed versus speed limit, hard braking, and rapid acceleration. ROVR collects the data generated by its internal accelerometer and the vehicle’s Engine Control Module in real time, transmits that data via cell networks, and analyzes and compiles driving behavior trends each week in a Scorecard. With the optional worldVIEW add-on, ROVR can provide real-time, map-based visibility, reporting, and analysis of entire fleets.

30 second installation

ROVR features

Predictive driving analytics

With ROVR, we created a way to measure only the most relevant driving safety and efficiency information that matters to you. ROVR measures how drivers are performing based on the three leading indicators of accident risk: Speeding, Hard Braking, and Rapid Acceleration. 

  • Reduce the likelihood of costly motor vehicle incidents.
  • Get the insight you need to optimize productivity and driver safety.
  • Track and analyze the leading indicators of risk.
  • Provide direct driver feedback.

Streamline safety

  • Get your drivers home safely every night.
  • Reduce motor vehicle accidents on the job by 50-90%.
  • Reduce frequency of accidents.
  • Reduce maintenance cost.

Optimize operations

  • Track your vehicles in real-time.
  • Reduce idling time and fuel cost (save up to $900 per driver annually).
  • Reduce frequency of accidents.
  • Reduce maintenance cost.
  • Improve fuel efficiency by 25%.

Hear from our customers


What makes ROVR different?

There are a myriad of other In-Vehicle Monitoring Systems, so what makes ROVR different? ROVR is unique in two areas. The system has been carefully tuned to detect subtle nuances of behavior that have been shown to be leading indicators of crash risk. As numerous studies have shown, detection and prevention of leading indicators is critical to reducing incidents, injuries and fatalities. Many other In-Vehicle Monitoring systems can detect a hard braking event when a driver screeches to a halt to avoid hitting an animal, but that incident is not diagnostic of a pattern of behavior, so it has no predictive use or capacity to inform and influence more careful driving behavior patterns. ROVR’s sensors have been carefully tuned to accurately report leading indicators of driving behavior risk to deliver useful and actionable insight about your drivers patterns of driving behavior. The ROVR driver engagement model is also unique. Rather than simply informing a supervisor of negative performance, the weekly ROVR scorecard ‘gamifies’ safe driving by creating an environment of constructive competition between drivers. Companies that have deployed ROVR to their fleet typically acknowledge their best drivers in a periodic safety meeting. Admonishments for drivers that get low scores and exhibit patterns of high risk behavior tend to be rare and very private. Because of this, the stigma of ‘big brother’ so often associated with telematics systems simply does not exist with fleets using ROVR. 

The history of ROVR

ROVR was first implemented for testing in 2008 in the DrivingChange program. DrivingChange was one of the world’s first research projects to use real-time sensors to gather, assess, and ultimately attempt to influence subtle patterns of driver behavior. The objective of the program was to investigate the relationship between driver performance, crash risk, environmental impact, and fleet operating costs. DrivingChange collected vast quantities of data from a large municipal fleet in Denver, Colorado. The analysis of that data resulted in the development of algorithms which correlated individual performance against a large population of drivers. Numerous parameters were analyzed, resulting in a comparative performance model, which led to the driver insight scorecard we provide today. 

Cartasite® ROVR® © 2018 Cartasite LLC. All Rights Reserved. U.S. Patent Nos. 8,604,920, 9,315,195. Other Patents Pending.


ROVR works with Scorecard and WorldView.