Skip to main content

Trafficware redefines wireless detection technology

US traffic management solutions supplier Trafficware has developed the Valence Pod, a wireless vehicle detection system that the company says provides the reliability of loops without the need for cabling or wireless repeaters for the intersection and advanced detection. The Pod uses road sensors to detect the presence of vehicles, and can be used individually for a smaller zone or grouped with other Pods to create a larger, smarter detection zone. The omni-directional antenna will detect sensors from hundr
April 19, 2013 Read time: 2 mins
US traffic management solutions supplier 5642 Trafficware has developed the Valence Pod, a wireless vehicle detection system that the company says provides the reliability of loops without the need for cabling or wireless repeaters for the intersection and advanced detection.

The Pod uses road sensors to detect the presence of vehicles, and can be used individually for a smaller zone or grouped with other Pods to create a larger, smarter detection zone. The omni-directional antenna will detect sensors from hundreds of feet away, allowing access to all Pods at an intersection with one antenna. Advanced detection sensors can be reached without needing a repeater by using long range directional antennas. The system is easily installed, requiring only three main components, the base station located in the controller, the wireless access point, and the sensor.

Trafficware’s chief engineer, Clyde Neel, explains that “the magnetometer technology is robust and well suited for vehicle detection. Applying our industry depth of experience in other forms of detection played a critical role in overcoming some of the technical challenges to making this an effective and reliable solution.”

For more information on companies in this article

Related Content

  • Detection analysis technology successfully predicts traffic flows
    February 3, 2012
    David Crawford investigates new detection analysis technology from IBM. Locations on both the East and West Coasts of the US are scheduled for early deployments of IBM's new Traffic Prediction Tool (TPT) statistical analysis model for the fine-time resolution and near-term prediction of road flow conditions. Developed by IBM's Watson Research Laboratories, TPT is designed to analyse data from the the key detection indicators - average vehicle volumes and speeds passing a location in a given time interval -
  • Mobinet counters weighty cross border concerns
    November 9, 2017
    A Mobinet pilot is combining onboard weighing with V2X comms to streamline vehicle weight enforcement. David Crawford reports. Pan-European, cross-border weigh-in-motion (WIM) for trucks is now a practical possibility, following successful Scandinavian trials within the EU-co-funded Mobinet (Internet of Mobility) programme. New technology is using strain sensors, located on load-bearing components and routinely installed in truck fleet management systems.
  • Flexible, demand-based parking charges ease parking problems
    April 10, 2012
    Innovative parking initiatives on the US Pacific Coast. David Crawford reviews. Californian cities are leading the way in trialling new solutions to their endemic parking problems. According to Donald Shoup, a professor of urban planning at the University of California in Los Angeles, drivers looking for available spots can cause up to 74% of traffic congestion in downtown areas. One solution is variable, demand-responsive pricing of parking.
  • Flexible, demand-based parking charges ease parking problems
    April 10, 2012
    Innovative parking initiatives on the US Pacific Coast. David Crawford reviews. Californian cities are leading the way in trialling new solutions to their endemic parking problems. According to Donald Shoup, a professor of urban planning at the University of California in Los Angeles, drivers looking for available spots can cause up to 74% of traffic congestion in downtown areas. One solution is variable, demand-responsive pricing of parking.