To support transportation planning and mobility modeling across Québec, the ministère des Transports et de la Mobilité durable (MTMD) mandated the development of large-scale origin-destination (O-D) matrices using anonymized floating car data (FCD) .
Through a collaboration between Orange Traffic’s Innovation Mi8 division and SMATS Traffic Solutions, the project leveraged a cloud-based analytics platforms and advanced processing methodologies to produce detailed vehicular movement patterns across four major Québec regions using FCD:
The initiative demonstrated how FCD can complement and modernize conventional transportation modeling approaches while providing broader network visibility, improved scalability and enhanced operational intelligence.
Traditional origin-destination surveys remain essential for transportation modeling, but they present several limitations:
The MTMD sought a more comprehensive and data-driven approach capable of capturing:
In addition, the solution needed to support transportation modeling efforts for future infrastructure and mobility planning initiatives.
The solution combined:
Across the four territories, hundreds of internal zones and peripheral gateways were analyzed to reconstruct large-scale mobility patterns. The solution enabled the production of detailed O-D matrices by:
The solution relied on anonymized mobility datasets collected from:
SMATS’ iNode platform processed passenger vehicle mobility data while Geotab Altitude supported truck movement analytics.
Key analytical processes included:
The methodology enabled the creation of:
The project provided a macro-level understanding of vehicular flows across four major Québec regions.
The generated O-D matrices complemented conventional household surveys and improved transportation simulation capabilities.
Unlike traditional surveys, the methodology incorporated truck movement analytics using commercial fleet data.
The use of FCD reduced the need for extensive physical field data collection infrastructure.
The platform-based approach enables repeatable and scalable mobility analysis for future transportation initiatives.
The project successfully delivered:
The initiative also demonstrated the operational viability of mobility big data as a complementary tool for transportation modeling and infrastructure planning.
This project highlights how intelligent mobility analytics can support transportation agencies in:
Through its collaboration with SMATS, Orange Traffic continues to expand its expertise in intelligent transportation systems, mobility analytics and real-time transportation intelligence solutions.
Turnkey intelligent transportation and mobility analytics solutions provider specializing in real-time traffic intelligence, monitoring and transportation innovation.
Advanced mobility analytics provider specializing in probe vehicle data processing, transportation intelligence and cloud-based traffic analytics platforms.