Code probe : Continuous travel demand and link flow estimation based on GPS probe data

New emerging large-scale mobility data sources like GPS probe and mobile network data have recently gained increasing interest for traffic planning applications. These data sources are based on continuous location observations of a sample of devices that enable a completely new understanding of spatiotemporal mobility patterns both within and between cities. A large-scale mobility source of special interest for traffic planning is GPS probe data, that includes high resolution mobility data for a few percent of the vehicle fleet. The data source has potential to automate network-wide traffic statistics for both traffic forecasts and national economic analysis. Trafikverket are already procuring travel time aggregates based on these GPS probe data. Link flow estimates has been identified as a prioritized data type that is useful for traffic and infrastructure planning. However, recently, new research has also utilized GPS probe data as input to origin-destination travel demand estimation. This project aims at combining local probe-based link flow estimates with the concept of data-driven network assignment and travel demand estimation, recently developed in LiU, for continuous (24/7. estimation of travel demand and link flow. The data-driven network assignment connects the travel demand with local link flow estimates and enables consistent estimation of both travel demand and link flow over time, based on raw GPS probe data as input.

Language

  • English
  • Swedish

Media Info

  • Pagination: 65p

Subject/Index Terms

Filing Info

  • Accession Number: 01942633
  • Record Type: Publication
  • Source Agency: Swedish National Road and Transport Research Institute (VTI)
  • Files: ITRD, VTI
  • Created Date: Jan 17 2025 3:15PM