Fileradar

Past, Present & Future Road Traffic Analytics.

Traffic Prediction

Big Data & Floating Car Data based predictions

Fileradar,
Past Present & Future Road Traffic Analytics

Using our dynamic mapping backend Dante we can assimilate any type of data and provide powerful and indepth road traffic analytics.

Chrome iPad
Flexible & Customizable Input.

Any kind of data source

Any type of data source can be assimilated. So far the following sources have been made accessible: open streetmap, openLR, loop detectors, bluetooth, floating car data, radar detector, video, weather imagery, structured feeds e.g. RSS, Datex2, unstructured data from twitter or websites. In general connecting to an API, accessing a known database or assimilating data directly from a collection of sensors is a routine task. And more is on the way.

Past Present & Future Analytics

Trackers & Algorithms

We use trackers to record and predict all types of congestion. A tracker is our construct to record any type of geo/spatial phenomena and we have applied it to congestion. We use trackers for regular (bottleneck) congestion, urban queues, shockwaves and incidents. We use databases of historically observed congestion for our past analytics or as input to our prediction engine and always have trackers follow the current state of traffic on our networks.

Disseminate via HTML5 or API

Desktop, Mobile & API

All information is made accessible via internet on our traffic browser Dante, just like Google maps but with a dynamic map that changes when you change the time slider. It is accessible on all html5 capable device, secure, build on standards such as leaflet, meteor and nodeJS. In the past 7 years we have learned how to visualize data in such a way it is kept understandable.

Off-the-shelf modules

Network Analytics

We provide network statistics and algorithms to determine congestion probabilities and identify areas for improvement and management.

Automated Network Balancing (GNV)

We provide input for network balancing concepts that delay the onset of congestion and keep traffic flowing.

Congestion Tracker

For any networks we have out of the box trackers to record all types of congestion and use it as input in our other modules.

Video Analytics

Deep learning algoriths to tranform any video feed of traffic into usable anonyous traffic statistics such as the number of cars, cyclists or pedestrians.

Smartmicro Radar

A module to use these types of radars as input for urban congestion tracking.

Any Data Endpoint

A module to assimilate any type of datasource, index, store, monitor and retrieve it and never worry about it anymore.

Adapt Traffic Operator Support

Our suite of decision support tools to aid Traffic Operators in their complex task by effective tools and provision of a situtaional awarenss overview or in depth traffic 360.

Traffic 360

Our module that provides a comprehensive 360 view of a tracked congestion instance for manual or automated use.

Engine 6 Predictions

The 6th generation of our hybrid prediction approach using decision trees and shockwave theory.

Travel Times API

An API for past, present or future travel times on AB routes or complex hypergraphs.

mb/sec
Raw data influx
Active websessions
No. of Data source types
Number of trackers