Abstract
This paper is a synthesis of the discussions and ideas that were generated during the workshop on "Data Analytics and Fusion in a World of Multiple Sensing and Information Capture Mechanisms" at the 2017 Travel Survey Methods Conference in Esterel (Canada). The workshop explored and discussed a new landscape in which data from multiple sensing and information capture mechanisms may be gainfully combined to obtain richer, more comprehensive, and more representative information regarding human mobility patterns as well as human perceptions, attitudes, and lifestyle choices. The workshop discussed the exciting possibilities, some investigative and predictive analytics pathways forward in terms of methods, and the research challenges in this emerging landscape of data science.
Original language | English (US) |
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Pages (from-to) | 416-420 |
Number of pages | 5 |
Journal | Transportation Research Procedia |
Volume | 32 |
DOIs | |
State | Published - 2018 |
Event | 2017 ISCTC 11th International Conference on Transport Survey Methods - Esterel, Canada Duration: Sep 24 2017 → Sep 29 2017 |
Keywords
- association in relationships
- causality
- heterogenous data sources
- high-dimensional data
- travel behavior data
ASJC Scopus subject areas
- Transportation