Brief description: 

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.

Main Features: 

The tool adopts flexible and parameter-free algorithms to detect stops and to decide how to cluster them into locations. It is ideal for analyzing large sets of users, where an interactive, user-guided definition of locations would be not feasible.

Areas of Application: 
  • Analysis of individual mobility described by GPS(-like) traces
  • Semantic annotation of mobility data
  • Analysis of urban functional areas
Market Trends and Opportunities: 

Location-based services and next-generation vehicles are making mobility data more and more common in several application domains, either in the form of GPS traces or equivalent. Having tools for processing raw data and translate them into higher-level information, as the relevant locations of the user, is fundamental to make value out of the collected information.

Customer Benefits: 

The raw GPS traces of mobile vehicles / users are translated into a more usable, easier-to-analyze and more compact form. Also, the process does not require any intervention from the end-user (e.g. to set parameters), thus not requiring specific competence on the task.

Technological novelty: 

A flexible, user-adaptive and parameter-free analysis process is provided. The tool has been validated for GPS traces of high-, moderate- and low-frequency (down to 30 points per hour), making it fit for a wide range of applications involving vehicles, mobile phones and other devices.

Workflow: 
Published
Component / Service / App

Owner

KDD Lab of ISTI-CNR
Pisa
Italy
Type: 
Project
Contact: 
BDV Reference categories: 
Data Analytics
Markets: 
Transport, storage and logistics
Urban Mobility
Readiness Level: 
Keywords: 
mobility
semantic annotation