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%>.

Urban Traffic Control

Related Content

  • October 17, 2017
    City of Greenville installs red-light safety camera program
    To tackle fatalities caused by red-light running, the city of Greenville, North Carolina, has implemented a red-light safety camera program that will issue a $100 (£75) fine to offenders, which it hopes will reduce both violations and collisions. A-red light running violation occurs when a motorist enters an intersection after the traffic signal has turned red, but this does not include drivers already in the intersection when the signal changes to red (drivers waiting to turn).
    Read More
  • March 21, 2018
    Aimsun shows latest release of mobility software
    The Aimsun team is here at Intertraffic to showcase the latest release of Aimsun Next mobility modelling software, which includes options for modelling air pollutants. This new emissions model measures CO2 and NOx emissions from configurable fleets of European vehicles and will be extended to North American fleets in the future It is available in microscopic and mesoscopic simulations. The latest version of Aimsun Next incorporates the average-speed London Emissions Model (LEM), developed by Transport for
    Read More
  • June 24, 2019
    Japan to equip 5G base stations on traffic lights
    The Government of Japan is to install 5G wireless communications base stations on traffic signals nationwide by 2025. A report by The Japan News says the project is expected to reduce costs for telecommunications service providers. As part of the project, traffic signals will be equipped with devices to measure the amount of traffic. The information sent from the stations to the vehicles is expected to support autonomous driving. Japan is not the only company looking to harness the potential of 5G. In F
    Read More
  • January 23, 2018
    Zendrive: lunchtime driving in San Francisco riskier than rush hour
    Lunch-hour driving across the San Francisco Bay Area between 11.00am and 2.00pm is riskier than morning and evening rush hour commutes with more than 50% of routes presenting a greater risk to drivers during lunch hour. These latest findings come from Zendrive’s Bay Area Commute Safety Snapshot which also revealed that the San Mateo Bridge is overall more dangerous during morning commutes between 6.00am to 11.00am.
    Read More

Highlighted Content