Skip to main content

StreetLight Data launches solution to combat traffic jams

Mobility analytics company StreetLight Data has released its Traffic Diagnostics tool to help transportation planners diagnose the cause of traffic jams and identify solutions. The product is available to new and existing clients in the US. Streetlight Data says the platform compares thousands of traffic jams in minutes and helps planners save money by ensuring that infrastructure is put in the right place. In addition, users can create visualisations that tell the story of traffic jams to stakeholders.
May 11, 2018 Read time: 2 mins
Mobility analytics company StreetLight Data has released its Traffic Diagnostics tool to help transportation planners diagnose the cause of traffic jams and identify solutions. The product is available to new and existing clients in the US.


Streetlight Data says the platform compares thousands of traffic jams in minutes and helps planners save money by ensuring that infrastructure is put in the right place. In addition, users can create visualisations that tell the story of traffic jams to stakeholders.  

Traffic Diagnostics also offers a breakdown of project opportunities that can provide long-term solutions to jams. The system generates project shortlists with high potential to assist public agencies in identifying initiatives for deep-dive analyses and public engagement.

The solution is an addition to StreetLight InSight, an on-demand platform aimed at turning big data from mobile devices into transportation data analytics. Traffic Diagnostics suggests the best solution for individual jam by focusing on optimal locations for new bicycle lanes and sidewalks, transit routes, employer shuttles and network improvements.

Related Content

  • Tech giants could herald loss of MaaS policy control
    March 25, 2020
    With tech giants targeting the transport sector, could local authorities lose control of their means of delivering policy?
  • Data crunching ‘can prevent cars crashing’
    March 25, 2013
    Having already cut traffic collisions resulting in injuries and deaths by nearly forty per cent in five years by analysing patterns from data it has collected, the city of Edmonton, Canada, is using predictive technologies to increase road safety even more. The city’s Office of Traffic Safety (OTS) has installed as many as 200 digital signs as just one element of an innovative traffic safety program that has dramatically reduced vehicle collisions in the Edmonton region since OTS launched in late 2006. Unde
  • Transport for London launches competition to create accessibility apps
    March 14, 2013
    Transport for London (TfL) is launching a competition to create new 'Accessibility Apps', marking the first of a series of initiatives to improve the variety of accessibility apps on offer. As part of the competition developers are being invited to apply with ideas for a new travel app which will make Transport for London (TfL) real time data more accessible to a far wider audience than mainstream Apple/Android apps. The winning entries will receive development support from TfL. Making the transport network
  • Big data analytics identifies congestion increases
    November 26, 2014
    Iteris has completed and published the Alameda County Transportation Commission (Alameda CTC) 2014 Level of Service Monitoring Report. The report was generated for speed-based congestion monitoring, utilising big data analytics in place of conventional in-field manual data collection for 205 miles of the 327 mile network. Use of big data analytics will be expanded in future monitoring cycles. Many agencies conduct congestion monitoring through manual data collection efforts. Agencies traditionally us