Congestion to cost US drivers billions of dollars over the next decade

Traffic hotspots in 25 of the most congested cities in the US cost drivers billions of dollars over the next ten years, according to a new report by Inrix’s cloud-based analysis tool. Inrix’s Roadway analytics (IRA) tool ranked over 100, 000 traffic hotspots with economic cost calculated on wasted time, lost fuel and carbon emissions over the next ten years.
October 2, 2017 Read time: 2 mins

Traffic hotspots in 25 of the most congested cities in the US will cost drivers billions of dollars over the next ten years, according to a new report by Inrix’s cloud-based analysis tool.

Inrix’s Roadway analytics (IRA) tool ranked over 100, 000 traffic hotspots with economic cost calculated on wasted time, lost fuel and carbon emissions over the next ten years.

New York had the most traffic hotspots, costing drivers $64 billion by 2026, Los Angeles has 10 to 25 of the worst traffic hotspots in America costing drivers $91 billion. Meanwhile, the I-95 in Washington DC was the worst overall traffic hotspot, causing 1,384 traffic jams over the study period, stretching 6.47 miles and lasting an average of 33 minutes.  

IRA ranked the cities depending on an impact factor, based on duration, length and frequency of traffic jams which allowed Inrix to calculate economic costs at road level and provided metric to analyse the health of transportation network within the cities and metro area.

 A full breakdown of the cities by region can be found on the %$Linker: 2 External <?xml version="1.0" encoding="utf-16"?><dictionary /> 0 0 0 link-external website Inrix Website link false http://inrix.com/press-releases/us-hotspots/ false false%>.

UTC

Related Content

  • September 28, 2017
    Inrix identifies the worst traffic hotspots in the 25 most congested US cities
    Inrix has published its latest research on the worst traffic hotspots in America. Using Inrix Roadway Analytics, a cloud-based traffic analysis tool, Inrix analysed and ranked more than 100,000 traffic hotspots in the 25 most congested US cities. The economic cost of hotspots was also calculated in terms of wasted time, lost fuel and carbon emissions over the next decade. The research identified and ranked 108,000 traffic hotspots in the 25 most congested cities in the US identified by the INRIX Global T
    Read More
  • February 7, 2018
    Inrix ranks U.S. most congested developed country in the world
    The U.S. is the most congested developed country in the world, with drivers spending an average of 41 hours a year in traffic during peak hours, costing them nearly $305bn (£220bn) in 2017, an average of $1,445 (£1,042) per driver. The findings come from Inrix’s annual Global Traffic Scorecard, which analysed 1,360 cities across 38 countries. Additionally, the study revealed that the U.S. had three of the top five most congested cities globally, costing an economic drain upwards of $2.5bn (£1.8bn). Los
    Read More
  • February 12, 2018
    Inrix: Congestion cost UK motorists over £37bn in 2017
    The UK is the third most congested country in Europe and the tenth most congested country in the world where costs amounted to more than £37.7bn ($52.2bn) for all drivers in 2017, an average of £1,168 ($2,233) per person. These findings come from Inrix’s annual Global Traffic Scorecard which analysed and ranked the impact of traffic congestion in 1,360 cities across 38 countries. London remained the UK’s most congested major city for the tenth consecutive year as drivers spent an average of 74 hours in
    Read More
  • January 3, 2018
    Inrix integrates parking solution with ultrasonic sensors
    Inrix has introduced new technology that uses ultrasonic sensors (USS) to scan, collect, and transmit real-time parking occupancy information to help guide drivers to available parking spaces. It will also help to enhance the quality of Inrix Parking. As the car is moving down the road, USS transmit sound waves and collects data on parked cars and empty spaces. It is then sent anonymously to the Parking Cloud to be analysed and combined with the parking availability prediction engine which determines block
    Read More

Highlighted Content