Skip to main content

Clearview launches Journey Time Monitoring System

Clearview Intelligence has launched its Journey Time Monitoring System which uses crowdsourced data to generate automatic traffic alerts for temporary and permanent routes. Paul Bates, head of product management for Clearview, says the system – which analyses anonymous GPS-determined locations transmitted by mobile phone and satellite navigation users - removes the need for installing and maintaining roadside technology. Operators can launch the application from a computer and receive data in minutes.
December 14, 2018 Read time: 2 mins

8795 Clearview Intelligence has launched its Journey Time Monitoring System which uses crowdsourced data to generate automatic traffic alerts for temporary and permanent routes.

Paul Bates, head of product management for Clearview, says the system – which analyses anonymous GPS-determined locations transmitted by mobile phone and satellite navigation users - removes the need for installing and maintaining roadside technology. Operators can launch the application from a computer and receive data in minutes.

“It means instead of employing someone to watch CCTV in case of an incident, they can be deployed elsewhere in the business,” Bates adds.

The solution monitors the time taken to travel between two points. If the time exceeds a pre-determined ‘normal’ travel time, an alert will advise the operator of slowing or stationary traffic.

The company says all the data, including the chosen routes, average travel times and alert intervals can be changed at any point. This information can then be used to inform drivers of the time it takes to travel to the end destination using variable message signs.

Data can be viewed in various ways, including as a heatmap or graph. Users can choose different colours to highlight normal or slowing traffic and export the data to Excel to analyse it offline.

“The data can be used to evidence persistent issues on the highways network and be used to analyse the impact of roadworks or when planning future developments in the area,” Bates concludes.
 
The system operates on a subscription basis, allowing users to access the system for a set number of routes.

For more information on companies in this article

Related Content

  • How WiM helps authorities identify repeat offenders
    May 31, 2023
    Company profiling – the process of identifying repeat corporate offenders when it comes to things like truck overloading – is one of many uses of WiM. And it may become more important
  • State of the art ITS technology for Doha tunnel management system
    January 31, 2012
    Husam Musharbash, Traffic Tech Group, talks about tunnel management system implementation on the new route between Doha and the soon-to-open New Doha International Airport. The new Ras Abu Aboud Tunnel in Qatar, which opened to traffic in January of this year, will serve the New Doha International Airport once the latter opens in 2011.
  • Bolt launches dockless e-scooters in Madrid
    August 16, 2019
    Bolt, the ride-share company which was formerly called Taxify, has launched electric kick scooters in central Madrid. The firm piloted the vehicles in Paris last year – making it the first to combine scooter-sharing and ride-hailing together in one mobile app, Bolt claims. “Beating the traffic is a big issue in cities like Madrid and a lot of trips are much more efficiently covered with an electric scooter rather than a car with a driver,” says Markus Villig, CEO and co-founder of Bolt. He says t
  • Machine vision’s image of road management’s future
    June 11, 2015
    Q-Free’s Marco Sinnema looks at how the commoditisation of high-quality vision-based solutions is widening their application. Machine vision technology’s entry into the ITS/traffic management sector has followed a classic top-down path. This is unsurprising given the extremely demanding performance criteria which are the standard in its market of origin, manufacturing processing. Very high image qualities combined with frame rates often in the hundreds per second range resulted in vision systems with capabi