Skip to main content

SensTraffic stars for Sensys in San Jose

Today at ITS America 2016 San Jose is highlighting Sensys Networks announces SensTraffic, a traffic data and analytical Smart City software platform for managing corridors and intersections. According to the company, this new service improves upon the highly manual and inefficient methods to collect traffic data and incorporate it into actionable insights. Traffic engineers can generate a wide variety of detailed reports including congestion mapping, travel times, origin/destination, high-resolution perform
June 13, 2016 Read time: 2 mins
Mark Biestman of Sensys Networks
Today at ITS America 2016 San Jose is highlighting 119 Sensys Networks announces SensTraffic, a traffic data and analytical Smart City software platform for managing corridors and intersections. According to the company, this new service improves upon the highly manual and inefficient methods to collect traffic data and incorporate it into actionable insights. Traffic engineers can generate a wide variety of detailed reports including congestion mapping, travel times, origin/destination, high-resolution performance measures, on-demand signal retiming data, bicycle and vehicle counts, safety metrics, complete system diagnostics and more. The continually collected statistics can be viewed in near real-time and user-defined alerts enable monitoring capabilities for rapid response to changing conditions. In addition, all of the data is archived for trend analysis and customisable reports in graphical, table and spreadsheet formats.

The robust server architecture of SensTraffic is compatible with existing traffic management systems. Real-time poll or push data feeds enable automatic interfacing with third party applications so users have access to critical data wherever they need it.

“Today's Smart Cities need accurate, actionable data to improve the way people travel through cities,” says Amine Haoui, CEO for Sensys Networks. “SensTraffic puts that data right at the fingertips of traffic engineers, helping them to reduce congestion and emissions. All of these features empower traffic visionaries to make data-driven decisions for managing roadways, increasing safety and even optimising traffic signals.”

When put to use, SensTraffic generates measurable benefits including up to 40% reduction in traffic delays, 25% less travel time and 31% fewer accidents. The data platform is already being used by several agencies across the country, such as the Golden Gate Bridge Highway & Transportation District in nearby San Francisco, where they are collecting accurate realtime traffic counts on a per-lane basis to trigger traffic alarms and provide monthly reports for planning.

For more information on companies in this article

Related Content

  • Inrix aids authorities in dealing with data
    August 18, 2015
    New traffic data products and services have been launched to aid transport and urban planners and business with detailed intelligence on journey patterns, reports Jon Masters. Manual travel surveys ought soon to become a thing of the past for transport planners and the business community. The technology now exists for getting sophisticated levels of traffic and trip data from connected vehicles. Cars and commercial fleets carrying a GPS device, or a mobile phone or smartphone are the sources of the informat
  • Otonomo and Rekor link up
    August 12, 2022
    Connected vehicle data agreement will provide increased visibility of traffic situations   
  • Cubic: predictive analytics is putting fortune tellers out of business
    November 23, 2018
    The rise of machine learning and artificial intelligence means that fortune tellers will soon be out of business. Ed Chavis takes a behind the scenes look at the world of predictive analytics ver since organisations started taking advantage of insights derived from Big Data, data scientists concentrated their efforts on the ability to make correct assumptions about the future. A few years later, with the help of automation, developments in machine learning (ML) and advancements in the application of a
  • Data goldmines offer rich pickings
    May 31, 2013
    Astronomical is not too grand a term to describe the current rate of growth in transportation-related data. Massive amounts of traffic related information, such as speed, volume, incidents and weather are being generated every second by road operators and users alike. Big data’ derives its name from the sheer amount and complexity of available raw data. Its potential value is starting to emerge among the intelligent transportation systems community. A gold rush is taking place to capture this value, with da