A European national operator managed 7,000 miles of motorway in Western Europe

This motorway network covers about 70% of the nation’s motorway and is monitored by a central operating centers, 1,4000 edge devices and 200 patrol vehicles. These represent an annual investment of > $50M / year in monitoring and management of its network. The operator has specific KPIs that means that it must detect all risks within 4 hours.

Due to the limited ITS coverage, this means it is forced to patrol its entire network every 4 hours; resulting in significant operational costs, while providing a suboptimal service. The operator tried many types of hazard perception technologies, but found that the complexity, size, and ITS coverage variety on its network meant that a single type of hazard perception was not sufficient. The operator was looking to see if a fused detection service could be relied upon instead of patrol.

"After seeing Valerann in action, we hope to put it across our entire network to ensure timely detection of all incidents”
– Head of Technology, European operator

Valerann’s system was able to decrease detection time of incidents by 17 minutes, while increasing actionable detection vs. both manual camera review and patrol vehicles. Following a year of successful operational use, the operator is signing a network-wide deployment agreement with Valerann.

The operator together with Valerann deployed Lanternn by Valerann™ one of its busiest motorways, serving the country’s capital.

The system monitored the motorway, including multiple tunnels and integrated with 30 CCTV cameras, Waze, HERE, INRIX, TomTom and Google maps, as well as weather data.

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The system used machine vision, data fusion and AI to sift through over 22,000 data points a day and surface only the 30 most relevant events to the control center.

The system integrated directly to the operator’s ATMS, serving alerts and contextual data into the ATMS for easier incident management. The alerts included a link where the operator could find incident contextual data and historical video footage for rapid validation.