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An analytical process is provided, which analyzes the recent GPS traces of a vehicle and assigns to it a probability of having a crash in the next mid-term future (typically, one month ahead).  The process is based on the analysis of historical data of several vehicles in terms of mobility (

A tool for analyzing the GPS traces of a vehicle to identify the places where a user stops for significant durations, and to aggregate them into locations of interest for the user. Each location is enriched with statistical information about frequency of stops.

Ciclogreen has developed an analytics and prediction tool that, given the historical data of the traffic flow at a given point in the city, will simulate behaviors that could generate congestion or flow of traffic, public transport, and pedestrians.

The QROWD Modal Split toolkit is a disruptive solution to generate dynamic Modal Split (MS) indicators.

Traffic and Travel Information services have had an explosive growth in recent years, but still considerable progress is to be made, building on top of the 500+ million GPS devices found in all sectors of the economy and society.

Fully automatic traffic incident alert to the mobile phone. User can subscribe the alerts happening in particular city areas.

A comprehensive city traffic model based on various diferent data sources. The model can be used e.g to present traffic situation of the street network on a map user interface or to generate traffic incident data to other applications.

One of the most innovative products that the QROWD project offers is that of the Virtual City Explorer (VCE). VCE is a crowdsourced solution for mobility infrastructure maps.

Freight delivery within the city has a great impact on traffic flow and is responsible for traffic congestion to a high extent. Central areas of the city face a number of situations every day:

More and more vehicles are connected to the Cloud.