Information fusion of smart card data with travel survey

in comparison to traditional travel surveys, smart card transaction data with extensive spatio-temporal richness offers a great opportunity. However the smart card dataset may lack some basic information such as trip destinations and socio-demographic attributes of the traveler. Our goal is to enrich smart card data with this missing information. We propose an information fusion approach of census, travel survey, and smart card data. Our methodology involves solving a maximum weighted bipartite graph consisting of a collection of smart card owners and a collection of smart cards. The links between the nodes are weighted using a trip chain choice model. This methodology is applied on Gatineau's public transit service (Canada). Results are analyzed at macroscopic and mesoscopic level by comparing estimated public transit riders' population with the observed population in the travel survey. Our method produces results that fit the expectation as high as 93%.

• Record URL:
  http://www.cirrelt.ca/DocumentsTravail/CIRRELT-2016-59.pdf
• 
• Corporate Authors:

  Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT)

  Montreal, Quebec   
• Authors:
  • Grapperon, A
  • Farooq, B
  • Trepanier, M
• Publication Date: 2016-10

Language

• English

Media Info

• Pagination: 32p

Subject/Index Terms

• TRT Terms: Data analysis; Data collection; Public transit; Smart cards; Travel behavior; Trip chaining
• Geographic Terms: Canada
• ATRI Terms: Data analysis; Data collection; Public transport; Smart card; Travel behaviour; Trip chaining
• Subject Areas: Data and Information Technology; Public Transportation;

Filing Info

• Accession Number: 01627355
• Record Type: Publication
• Source Agency: ARRB
• Report/Paper Numbers: CIRRELT-2016-49
• Files: ATRI
• Created Date: Feb 27 2017 9:46AM