PAST PRESENT & FUTURE ROAD TRAFFIC ANALYTICS
Using its dynamic mapping backend Fileradar assimilates any type of geographic data and provides powerful and in depth road traffic analytics for past, present and future conditions
The Adaptive Flow Management (AFM) for the Maastunnel is designed to guarantee safe usage of the Maastunnel up to peak volumes, while maintaining seamless network flow around the tunnel.
Fileradar is responsible for monitoring 40 intersections using streaming data from ±100 Smartmicro radars. We track the waiting queues on all intersections as input to the safety system and provide a live traffic browser of the system.Learn more
Fileradar won Kapsch's Factory1 accelerator program in May 2017 to deliver traffic prediction solution for the Madrid Traffic Centre.
The traffic centre of Madrid provided level of service data for 6 months to build a prediction engine for forecasting. Fileradar deployed the new product within 3 months, reaching over 95% accuracy for short term predictions.
ADAPT is part of the CHARM project in which Highways England and RijksWaterStaat jointly develop the next generation of Traffic Management centers, first launch scheduled end 2017. Our partner Bemobile provides us with event and floating car data.
In ADAPT (advanced data patrolling) we use Engine6 predictions and Traffic 360 context with live operator support for UK and NL motorway networks and integrate ADAPT into DYNAC®, developed by Kapsch.
For the Rhoon TMC (traffic management centre) we provide engine6, traffic360 and decision support we provide traffic flow predictions. In Rhoon, traffic managers are enabled to anticipate to manage traffic when small to medium incidents occur.Explore
For the city of Utrecht a Dante setup is made using video, loop, 24 radar detectors, bluetooth, manual counts, and public transport data. For the first use case, the data is analyzed to estimate the effect on traffic flow in a before and after study.Explore
Select and download any area from OpenStreetMap, filter items before download. Enabled to transform line data to directed graph of links and nodes for further network analytics, traffic engineering or else.Explore
State of the art prediction algorithm. The power of artificial intelligence and machine learning to forecast near future geo data readings. Feed your historic data through API to receive immediate service.Explore
Visualisation platform for Dante, presenting dynamic or static datasets in real-time or with the help of a time slider, at any temporal point of the dataset range. Observe your data moving on the map.Explore
The GIS software of the future. Standardising geo data for use with any other type of data format. Dante is pre-equipped with some default analytics algorithms to empower quick project results and customisable products.Explore
We have a rich set of pre-configured algorithms on our analytics platform that can be used out of the box.
Algorithms to track, classify and enrich congestion patterns for capacity queues, urban queues and shockwaves.
Our 6th generation prediction algorithms merge machine learning with traffic flow theory and works on any type of traffic network.
A rich set of motorway algorithms to determine location, activity and influence on bottlenecks.
Standardisation methods to fuse and interpolate heterogenous datasources and a generic data model that can connect to anything.
Working with different data sources, protocols and formats has all been abstracted to quickly set up an endpoint and start handling data.
Based on Smartmicro's doppler radar, we create a detailed realtime image of urban congestion on a per lane basis to allow fine grained network control.
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