A Lima Expresa is Peru’s busiest motorway; cutting through the heart of Lima the road sees over 200,000 journeys a day.

The operator is in charge of managing, maintaining and operating the road, its 1.5-mile tunnel and multiple toll facilities. The TMC (Traffic Control Center) was managed by an outdated ATMS, that received little to no support.

Detection of incidents on the motorway was done entirely by manual review of CCTV and patrol vehicles. The company was looking to improve the safety and efficiency in its asset through a combination of system upgrades and deployment of AI to improve incident detection and response.

"Now we have the certainty that, as soon as something happens, we get that information”
– Francisco Chenguayen, Control Center Manager, Lima Expresa

Lanternn by Valerann™ replaced all ATMS systems in Lima within 5 months without any loss of data or operational capability. Using LbV Lima Expresa team was able to detect and initiate a response to over 95% of all incidents within 5 minutes. This was done despite reducing operational staffing by 25% in the control center and patrol staff. The improvements in detection and response led to a 14% decrease in accidents with KSIs.

Lima Expresa together with Valerann deployed the full ATMS version of Lanternn by Valerann™ into the Lima TMC. The system monitored the entire motorway, including its 4KM tunnel. The total area covered is 30 miles.

The system integrated with 30 CCTV cameras, Waze, Inrix and Google maps, as well as weather data. The system used machine vision, data fusion and AI to sift through over 20,000 data points a day and surface only the 110 most relevant events to the control center. The alerts were coupled with contextual data and historical video footage for rapid validation. The system connected to all VMS/DMS, patrol and maintenance vehicles, allowing for automated response workflows such as message setting, patrol and emergency vehicle dispatch, and internal communications.

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Patrol vehicles were given access to the Lanternn mobile app, which assigned tasks and allowed for uploading of information about incidents the patrol was attending. This significantly decreased both detection and response times. All incidents were automatically logged within Lanternn. Lanternn also included functionality to manage shifts and breaks of operational staff.