Author(s):
R.J. Lee, I.N. Sener, J.A. Mullins
Publication Date
October 2014
Abstract
This report provides a review of the literature gathering information on the collection, processing, and use of passively collected data in travel demand modeling. Traditional methods of travel data collection are often limited by high costs, infrequent updates, or small sample sizes. Several emerging technologies now allow the ability to quickly and easily acquire large trip data sets over long periods of time. In this technical memorandum, five of the most promising new technologies (mobile phone positioning, GPS tracking, Bluetooth re-identification, social networking data, and smart card data) are reviewed in the context of travel demand modeling. These technologies are growing in use but come with their own set of considerations, particularly when it comes to sampling bias and data pre-processing. When possible, it appears that integrating new technologies with traditionally collected data can lead to enhanced accuracy. It remains to be seen whether these methods of data collection will be able to fully supplant traditional travel diaries or sensor data.
Report Number:
161407-2
Keywords:
Travel Survey; Mobile Phone; GPS; Bluetooth Re-identification; Social Networking; Smart Card
Link(s):
Document/Product
http://tti.tamu.edu/documents/161407-2.pdf
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