image

Fileradar

Future Traffic
Image

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.

    Learn more
    image
  • 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.

    Learn more
    image
  • 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.

    Learn more
    Explore
  • 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.

    Explore
  • 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.

    Explore

products

background
OSM-Traffic

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
background
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.

Explore
background
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.

Explore
background
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 and customisable products.

Explore

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.

Congestion Trackers

Algorithms to track, classify and enrich congestion patterns for capacity queues, urban queues and shockwaves.

Traffic Prediction

Our 6th generation prediction algorithms merge machine learning with traffic flow theory and works on any type of traffic network.

Network Analytics

A rich set of motorway algorithms to determine location, activity and influence on bottlenecks.

GIS Standardisation

Standardisation methods to fuse and interpolate heterogenous datasources and a generic data model that can connect to anything.

Quick Setup

Working with different data sources, protocols and formats has all been abstracted to quickly set up an endpoint and start handling data.

Smartmicro Radars

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.

Partners

  • Image
  • Image
  • Image
  • Image
  • Image
  • Image
  • Image
  • Image
  • Image
  • Image
  • Image
  • Image

Team

  • avatar Dr. Frank Zuurbier
    Co-Founder & Developer

    Dr. Frank Zuurbier received the bi-annual Cuperus prize for best Master theses in Traffic and Transport for his MSc-thesis at Delft University of Technology in 2005. His PhD research focused on intelligent route guidance that provided the foundations to establishing Fileradar. Frank manages the IT backend, data management software development and algorithms.

  • avatar Dr. Chris van Hinsbergen
    Co-Founder & Developer

    Dr. Chris van Hinsbergen graduated in 2006 with honours at Delft University of Technology. In 2010 he received his PhD on the topic of calibration and validation of traffic prediction models. Since then he is owner and director of Fileradar. Within the company, Chris is mainly responsible for algorithm development, system integrations and project management.

  • avatar Marije van den Berg
    Project Management & Relations

    I make sure that Fileradar's operations flow smoothly and lean. It's my responsibility that the relations with our network are well maintained. I have a good antenna for business opportunities as well as personal details. I listen to the customers and the challenges that they face. I see myself as a translator between the customer and the technical world.

  • avatar Dr. Adam Pel
    Predictions

    Dr. Adam Pel graduated with honors in 2007 at Delft University of Technology. In 2011 he received is PhD-degree with a thesis on the topic of traffic flows at evacuations. Since 2014 Adam combines his job of Assistant Professor at Delft University with a part-time job at Fileradar. Within the company he is mainly responsible for Research and Development of the prediction engine.

  • avatar Machiel Molenaar
    Back-end developer

    Machiel joined Fileradar in late 2017 to support our expansion with his technical expertise. Machiel is responsible for code quality, server management and further migration toward the cloud. Machiel has worked several years at Atlassian where he got a unique perspective on these matters and is excited to get working on Future-Traffic.

  • avatar Peter Biczók
    Business Development

    Peter Biczók, MSc. graduated in 2013 as City and Transport Planner from the Bartlett School of Planning, UCL, London. Before his studies he led IT projects for blue chip financial firms in London and Vienna. Peter has been working since early 2016 part-time for Fileradar beside his job as a Transport Planner at Bicyclize.

  • avatar Jeroen van der Gun
    Multimodal transport modelling

    Jeroen van der Gun, MSc. graduated with honors in 2013 at Delft University of Technology and is currently working there on his PhD thesis on simulation modeling of multimodal transportation networks during emergency conditions. Since 2017 he has been supporting Fileradar on multimodal modelling.

  • intern Current vacancy
    Marketing intern

    Marketing intern

    The role

    Fileradar is going through a rapid development with new products aimed to new markets. The aim of the role is to gain insights into these markets and support our activities with marketing and research. You will be responsible for building an audience and leads for our B2B, B2G products.

    Requirements

    The ideal candidate will have academic or professional experience in market research and a good understanding of marketing practises. Interest in road traffic analytics, modelling and/or digital mapping solutions is expected from shortlisted candidates.

    What to expect

    An early stage startup in the heart of Amsterdam sharing offices with Google, Uber and the likes. We don't care wheather you are a night owl or 9-2-5 machine as long as you finish what you take on your plate by the time you say you would finish. Clear communication is a must!

    Contact

    Please send your CV with cover letter to peter [at] fileradar [dot] nl

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