Analyze the Potential of Carpooling for Urban Residents Using Trajectory Data

The number of private cars has grown rapidly in recent years, making road congestion, environmental pollution, and energy consumption increasingly serious. Carpooling is considered to be an effective way to solve the problems. Several travelers with similar travel routes can save money and reduce fuel consumption by carpooling, which improves vehicle and road utilization. Due to the widespread use of smartphones and mobile application development platforms, carpooling has broad prospects for development. In the carpooling problem, whether there is a high temporal and spatial correlation between the trajectories is the key to determine whether or not to match. This paper analyzes the potential of carpooling, using trajectory data, simplifying the trajectory through the trajectory area gridization process, and proposes several carpool models, and uses this as a basis to analyze the trajectory data from time and space. The final solution model is a maximum weight non-bipartite graph match.

Language

  • English

Media Info

  • Media Type: Web
  • Pagination: pp 221-233
  • Monograph Title: CICTP 2020: Transportation Evolution Impacting Future Mobility

Subject/Index Terms

Filing Info

  • Accession Number: 01767318
  • Record Type: Publication
  • ISBN: 9780784483053
  • Files: TRIS, ASCE
  • Created Date: Dec 9 2020 3:01PM