Skip to main content

TransCore and Sensys Networks partner on real time travel data

TransCore, provider of intelligent transportation system (ITS) products and services to fifty US state departments of transportation, and California-based Sensys Networks are to integrate the Sensys arterial travel time system into TransCore’s TransSuite advanced traffic management system, used by more than forty state and local governments. The Sensys Networks arterial travel time system employs signature re-identification technology to measure and report real-time travel data along a city corridor. This i
June 18, 2013 Read time: 2 mins
139 Transcore, provider of intelligent transportation system (ITS) products and services to fifty US state departments of transportation, and California-based 119 Sensys Networks are to integrate the Sensys arterial travel time system into TransCore’s TransSuite advanced traffic management system, used by more than forty state and local governments.

The Sensys Networks arterial travel time system employs signature re-identification technology to measure and report real-time travel data along a city corridor. This is the said to be the first commercially available, infrastructure-based system that provides real-time travel times. TransSuite can now deliver the entire distribution of travel times along with a whole host of other real-time performance parameters for urban arteries.

Arterial traffic accounts for more than half of all traffic today, offering a tremendous opportunity for congestion reduction through the expansion of ITS systems, yet there are limited data sources to measure arterial travel times. Measuring arterial travel time is further complicated due to traffic signal delays, cars switching lanes, and generally much shorter and more diverse travel patterns.

David Sparks, executive vice president for TransCore’s ITS Group, explained, “By incorporating these key performance parameters for arterial roadways, particularly in real-time, traffic engineers can add a level of sophistication and responsiveness to dynamic traffic conditions as they happen.”

Amine Haoui, CEO of Sensys Networks, continued, “We believe the integration of the Sensys Networks arterial travel time systems into the TransSuite family of ITS products will provide customers with key arterial performance parameters that have never been available until now. We are very pleased to be working with TransCore to bring this new capability to the market.”

For more information on companies in this article

Related Content

  • Asecap Days 2023: Data drives the best decisions
    December 22, 2023
    Almost all the data being collected by highway operators is going to waste. But if firms collect and analyse these ‘vast lakes of data’ they can investigate threats, monitor management systems and drive up revenues, delegates were told at Asecap Days 2023. Geoff Hadwick reports
  • Machine vision’s transport offerings move on apace
    June 30, 2016
    Colin Sowman considers some of the latest advances in camera technology and transport-related vision technology applications. Vision technology in the transportation sector is moving apace as technical developments on both the hardware and software sides combine to make cameras more multifunctional with a single digital camera now able to cover a multitude of tasks.
  • Big data bonus for Dublin’s buses
    August 19, 2014
    Dublin’s smart research partnership speeds buses More than 50% of people travelling into and across the Irish capital rely on public transport, and four out of 10 these use buses meaning Dublin Bus carries some 120 million passengers a year.
  • PTV sets its sights on Smart City solutions
    February 9, 2017
    Making a city smarter not only relies on understand technological opportunities but also human decision-making, as Miller Crockart explains. Cities are about people – a fact that can easily be forgotten when experts talk about roads, healthcare and education as though they are abstract and unconnected monoliths rather than things people use. Understanding how and why people use services is vital for making decisions on how they can be optimised for maximum efficiency across inter-connected networks that for