Iteris enhances travel time system

Iteris has upgraded its Vantage detection solutions with Vantage Velocity 2.0, which includes several enhancements to its Bluetooth-based travel time system. Vantage Velocity, Iteris’ Bluetooth-based travel time system, employs sensors installed at defined segments along the road to capture the identity of passing Bluetooth-enabled devices. Utilising advanced algorithms, the host software analyses the matches between sensors to create accurate real-time speed and travel time data on freeways and arterial ro
August 9, 2013 Read time: 2 mins
73 Iteris has upgraded its Vantage detection solutions with Vantage Velocity 2.0, which includes several enhancements to its Bluetooth-based travel time system.
 
Vantage Velocity, Iteris’ Bluetooth-based travel time system, employs sensors installed at defined segments along the road to capture the identity of passing Bluetooth-enabled devices. Utilising advanced algorithms, the host software analyses the matches between sensors to create accurate real-time speed and travel time data on freeways and arterial roadways.

The enhancements in Vantage Velocity 2.0 provide public agencies with the flexibility to meet their traffic management needs by enabling them to create their own user-definable congestion maps. Improved reporting allows operators to obtain a complete view of real-time traffic and origin-destination data while understanding demand trends over periods of several days. The new field unit data viewer allows users to begin monitoring incoming Bluetooth matches directly from the installation site, which provides instant validation of the installation performance.

“These enhancements to our Vantage Velocity product are a result of the market’s growing demand for real-time traffic information,” said Todd Kreter, senior vice president of development and operations for Iteris’ Roadway Sensors segment. “The upgrade will provide our customers with the ability to monitor road conditions and respond faster to various traffic situations.”
Parking & Access Control Classification & Data Collection Networking & Communication Systems

For more information on companies in this article

Related Content

  • Travel data critical to traffic management, traveller information
    January 31, 2012
    The ability to bundle together travel data from several discrete sources and fuse it to give a more comprehensive overview of events to stakeholders is the key aim of Viajeo, which is conducting trials in several cities around the world. Here, Ertico's Yanying Li writes about the project in more detail
    Read More
  • Michigan improves real time traffic information
    June 24, 2013
    Michigan’s Road Commission for Oakland County (RCOC) has revamped its online real-time traffic map, making the congestion-monitoring tool simpler, easier and faster to use. The changes allow users to see congestion levels on county roads across Oakland County, thanks to data provided by RCOC’s Faster and Safer Travel through Traffic Routing and Advanced Controls (Fast-Trac) adaptive traffic-signal system. Fast-Trac detects the volume of traffic moving in each direction at equipped intersections and uses th
    Read More
  • First-of-a-kind collaboration to analyse real-time traffic patterns and individual commuter travel history
    February 3, 2012
    IBM has announced a new collaboration with the California Department of Transportation (Caltrans) and California Center for Innovative Transportation (CCIT), a research institute at the University of California, Berkeley, to develop an intelligent transportation solution that will help commuters avoid congestion and enable transportation agencies to better understand, predict and manage traffic flow.
    Read More
  • Machine vision - cameras for intelligent traffic management
    January 25, 2012
    For some, machine vision is the coming technology. For others, it’s already here. Although it remains a relative newcomer to the ITS sector, its effects look set to be profound and far-reaching. Encapsulating in just a few short words the distinguishing features of complex technologies and their operating concepts can sometimes be difficult. Often, it is the most subtle of nuances which are both the most important and yet also the most easily lost. Happily, in the case of machine vision this isn’t the case:
    Read More

Highlighted Content