Skip to main content

Miovision touts its traffic management cloud solution at ITS America San Jose

Miovision has developed a new, low-cost way to connect intersections, leveraging the power and ubiquity of the cloud to collect and deliver traffic management data to traffic management centres (TMCs). Connecting cabinets via wired connections across a municipality tends to be a costly and disruptive process. According to Miovision's CEO Kurtis McBride, transmitting data wirelessly over cellular networks to the cloud and then giving TMCs access to those datastores is a much more effective way to arm traffic
June 15, 2016 Read time: 2 mins
Lara O'Keefe of Miovision

1931 Miovision has developed a new, low-cost way to connect intersections, leveraging the power and ubiquity of the cloud to collect and deliver traffic management data to traffic management centres (TMCs).

Connecting cabinets via wired connections across a municipality tends to be a costly and disruptive process.

According to Miovision's CEO Kurtis McBride, transmitting data wirelessly over cellular networks to the cloud and then giving TMCs access to those datastores is a much more effective way to arm traffic engineers with the information they need to monitor, control and optimise transportation systems, he said.

Launched in January, Miovion's new traffic management cabinets have been deployed to 35 authorities across North America. Traffic control engineers in these cities are able to monitor the health of devices in the field, track signal changes and predict travel times. The data is stored in the cloud and is available to be used for troubleshooting issues, diagnosis and post-event analysis.

McBride called the move to the cloud the 'appification' of traffic management.

"New features and functionality can be developed as software, delivered through cloud services and added onto the existing platform at a fraction of the cost rather than purchasing and installing additional hardware to alreadycrowded cabinets.

For more information on companies in this article

Related Content

  • Siemens brings intelligence back to equipment in the field
    June 15, 2016
    While many companies are moving toward the delivery of ITS solutions through the cloud, Siemens' RuggedCom division wants to make sure that intelligence doesn't disappear completely from hardware deployed in the field. The Siemens RuggedCom RX 1400 router has a built-in compute platform that can run applications when connectivity is lost, allowing critical ITS services to continue operating in the field even when equipment is cut off from the internet or the traffic management center.
  • Miovision plots future path to digital destination
    April 23, 2024
    Miovision is here in Phoenix to answer the question everybody in transportation management is asking: How can traffic agencies chart a path to the emerging world of ubiquitous digital infrastructure?
  • Car parking and parked cars need not be a technological black hole
    March 19, 2015
    David Crawford mines the potential of joined-up parking. Drivers conventionally see parking as an isolated, often frustrating, action; but collectively their attempts to find a space impact hugely on traffic flows. But new analyses of parking events look set to deliver real benefits to motorists and cities alike. Initiatives getting under way around the world are highlighting the advantages of connecting up parking events and – eventually - parked cars. The hoped-for results include not only enhanced urban
  • Iteris highlights local solutions in San Jose
    June 13, 2016
    Iteris is here at ITS America 2016 San Jose to highlight the company’s ITS solutions in the Bay Area. Santa Clara County leads the charge by using performance measurement systems at the arterial level with real-time Bluetooth data and turning movement count data. By aggregating the count data at intersections and utilising sophisticated algorithms for analysis, Iteris’ system provides speed, flow, and occupancy data for turning movement on the main corridors. Algorithms make short-term flow predictions t