TomTom NV
9 Oct, 2013

Independent study confirms accuracy of TomTom Traffic

~ A University of Michigan study on Real-Time Traffic grants TomTom Top Ranking ~

Ann Arbor, Michigan, October 9, 2013 An independent benchmarking study, published on Monday, into the accuracy of traffic jam information provided by after-market navigation systems in the U.S. has concluded that TomTom’s iPhone Navigation App and GO 2535 Portable Navigation Device provide the most accurate real-time traffic data, when compared to a number of competing products. 

The University of Michigan Transportation Research Institute (UMTRI) undertook a ‘jam hunt analysis’, funded by TomTom, using six popular mobile apps and GPS devices to analyze the accuracy in reporting traffic congestion and incident data.  TomTom achieved the highest scores by accurately identifying the most jams and having the lowest error rate compared to the competition.

“By driving through the same traffic jams with each device simultaneously, our study identified the accuracy of each GPS system in reporting congestion, with varying results across the board,” said Bruce M. Belzowski, Assistant Research Scientist from the University of Michigan. “Overall, TomTom’s device and app reported the most accurate traffic information.”

The ‘stuck in traffic’* study concluded**:

“The findings from The University of Michigan’s study clearly show that TomTom Traffic devices provide drivers with more precise traffic information, enabling faster journeys, more accurate arrival times, and an overall smarter navigation experience,” said Charles Cautley, Managing Director of TomTom Automotive.

Full details of the study can be found at: http://umtri.umich.edu/what-were-doing/news/umtri-report-analyzes-real-time-traffic-capabilities-personal-navigation

 

*full name of the project is: “Stuck in Traffic: Analyzing Real Time Traffic Capabilities of Personal Navigation Devices and Traffic Phone Applications”

**The total number of jams identified and measured in the study was approximately 165.

 

Notes to Editors:

Methodology: the field work for the study was conducted during the months of May-July, 2013 in the Detroit metropolitan area.

UMTRI used the most recent versions of the PNDs and apps available during early May, 2013. The following devices were used:

 

The Jam Hunt Analysis

The jam hunt analysis was performed by equipping two field vehicles with all of the navigation devices and apps listed above. Each vehicle then drove through a total of approximately 165 traffic jams. The information reported on each system was recorded on video and coded into statistics on the accuracy of each real time traffic service. For the purpose of the study, traffic jams were defined as events which:

  1. delays the driver 90 seconds or more while en route to his destination and
  2. the vehicle’s speed is reduced to half or less of the posted speed limit.