Traffic monitoring

With the density of traffic continuously increasing, keeping the roads safe and the traffic flow smooth is essential. Carmenta’s geospatial products provide advanced functionality and are used in different places in complex and critical traffic management and monitoring solutions.

For the desktop application, Carmenta Engine integrates with a client application to provide the centrepiece for a map-centric aggregated overview of the current situation on the road network. Carmenta Engine allows full interaction with maps and map entities in multiple maps, providing different views of roads, sensors and equipment, etc. Further integration includes the handling of alarms, events and planning from the application directly in the map. With the rich support for different geospatial analysis functions, complex tools and decision-support functions can easily be built in the client application.

Besides local map data, the client application will also benefit from accessing published map services from Carmenta Server (on Windows Server), Carmenta Server Core, deployed in Docker containers on servers or cloud platforms for microservice architectures, or from any other server publishing standardised services. The published map services allow the centralised distribution and handling of geodata, and they support a large variety of raster, vector and other formats on major OGC formats including WMS, WMTS, WFS and vector tiles.

For the web application, Carmenta Server and Carmenta Server Core further allow the client applications to access published geospatial analysis functions, in addition to map data. For a 3D web client based on the Cesium open source library, Carmenta Server and Carmenta Server Core will supply the Terrain service and detailed 3D Tiles services.

Connected and Automated Vehicles (CAVs) are more and more integrated in today’s traffic system and the Carmenta Automotive business area specialise in solutions for the management and control of CAV fleets including self-driving vehicles.

CUSTOMER CASE

NTS – Swedish National Traffic Management System

The NTS is a powerful decision support system used by traffic managers at the four traffic management centres in Stockholm, Gothenburg, Malmö and Gävle to monitor and control traffic across the country. The system has over 2,000 predefined action plans that help traffic managers handle all possible situations quickly and safely.

Carmenta Engine is an integrated map component for the visualisation and analysis of geospatialdata in the large, complex NTS.

LAIV – The new and modernised version of NTS
LAIV is the new, modernised version of NTS that is currently being developed. Carmenta experts are part of the project, led by the Swedish Transport Administration, and are developing the map solution which is a central part of the application. The solution merges sensor information, map and road data from different sources and services into one common operational picture for the operators of the traffic monitoring system, giving them the best support needed for an instant decision.

The operators have the ability to use several map windows in parallel, allowing them to track different active incidents, for example. The map can be shown both as a standard geographical map where roads and equipment are displayed in their real positions and as a schematic map, using CAD drawings. All map layers are published by Carmenta Server as OGC standardised services and automatically loaded by the client when updates are available. The map functionality is based on a microservices architecture; settings in the map as well as equipment and events are controlled by services.

The schematic map is designed to give the operators instant situational awareness over a specific tunnel or road network, where the large amount of available equipment is laid out in an easily comprehensible way. This provides the operator with an overview of the traffic and equipment, where both the roads and equipment positions have been adjusted from their real geographic positions to an easy-to-follow, logical flow.

The large amount of equipment and incidents necessary to track the current traffic situation is displayed and updated in the map when their status is changed. To prevent cluttering of the map, the cluster functionality highlights the most important events. This allows the operator to rapidly grasp what requires instant attention, taking into account the current zoom level of the map. Read more about  the Swedish Transport Administration here.