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UID:pretalx-qgis-uc2026-V7XCK7@talks.osgeo.org
DTSTART;TZID=CET:20261006T120000
DTEND;TZID=CET:20261006T123000
DESCRIPTION:Large operational organisations increasingly rely on GPS data c
 ollected by vehicles on the field\, but transforming raw GPS tracks into r
 eliable and statistically meaningful operational parameters remains a comp
 lex and time-consuming task.\n\nThis talk presents a real-world use case d
 eveloped within Iren SpA\, one of the largest multi-utility companies in I
 taly\, focusing on waste collection services. We introduce GPS Analyzer\, 
 a custom QGIS 3 plugin developed entirely by internal IT developers and cu
 rrently used in production to support service monitoring\, planning\, and 
 optimisation activities.\n\nThe plugin provides a semi-automatic workflow 
 to analyse GPS tracks enriched with geospatial information and operational
  signals (engine status\, power take-off activation\, container lifting\, 
 emptying events\, vehicle speed\, etc.) coming directly from the vehicles.
  Starting from raw GPS data\, the tool supports the identification of vali
 d service tracks\, the classification of service phases\, and the calculat
 ion of key operational and productivity parameters. Each phase of the anal
 ysis workflow is encapsulated in a dedicated tool\, allowing GIS operators
  to execute complex processing steps with minimal manual intervention. The
  parameters obtained are then used both for performance monitoring and for
  the design or optimisation of waste collection routes.\n\nBefore the intr
 oduction of GPS Analyzer\, the analysis of a single GPS track required app
 roximately 30 minutes of manual work by a GIS operator. Thanks to the semi
 -automated workflow implemented in QGIS\, the same analysis can now be com
 pleted in about 5 minutes\, resulting in a time reduction of more than 80%
 . This improvement makes it possible to analyse a significantly larger num
 ber of tracks\, increasing the statistical robustness of the derived param
 eters and enabling data-driven decision-making at scale. The plugin has al
 ready been used to analyse hundreds of real-world GPS tracks.\n\nAlthough 
 the plugin is currently designed for internal use and tailored to the wast
 e management domain\, the overall approach is highly transferable. Any con
 text where GPS tracks include both spatial information and operational sig
 nals can benefit from similar workflows implemented in QGIS.\n\nThe presen
 tation will focus on the problem addressed\, the geospatial data available
 \, the QGIS-based workflow\, the benefits achieved and the lessons learned
  from deploying and maintaining a custom QGIS plugin in a large operationa
 l organisation.
DTSTAMP:20260724T192754Z
LOCATION:Bridge Cinema
SUMMARY:Turning Raw GPS Data into Actionable KPIs: a QGIS Plugin for Operat
 ional Efficiency in Waste Management - Paolo Molini
URL:https://talks.osgeo.org/qgis-uc2026/talk/V7XCK7/
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