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Fileradar

Future Traffic
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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

Projects


  • AFM
    AFM

    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.

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  • Madrid TMC
    Madrid TMC

    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.

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  • ADAPT
    ADAPT

    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.

  • Rhoon TMC
    Rhoon TMC

    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.

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  • PPA-West
    PPA-West

    Fileradar's system is fed with TomTom data, video data and data from 5 radar detectors. On the platform we made all data accessible and visible. The data is used to estimate motorway queues and urban queues.

  • Goylaan
    Goylaan

    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.

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products


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Dantesoftware

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.

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Visual Traffic

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.

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Future Traffic

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.

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Off-the-Shelf Algorithms

We have a rich set of pre-configured algorithms on our analytics platform that can be used out of the box.

GIS Standardisation

Standardisation methods to fuse and interpolate heterogenous data sources

Shockwaves analytics

Motorway shockwaves detection, prediction and analysis from loop detectors

Smartmicro Radar

A module for Smartmicro's microwave radar input that determines congestion level

Traffic Predictions

The 6th generation of our hybrid prediction approach uses decision trees

Congestion Trackers

Algorithms to track, classify and enrich congestion patterns

Quick deployments

Generic data model to connect all kinds of dynamic spatial data source

Partners

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Team


Contact


Amsterdam

TQ, Fileradar
Singel 542 Amsterdam, 1017 AZ

Delft

F Matthesstraat 30-II
Delft, 2613ZZ

info@fileradar.nl
+31(0) 614 60 75 48