This chapter describes a smartphone-based prompted recall travel survey that aims to collect more accurate data for transportation modeling. It details the design and implementation of the survey, including the smartphone app for the Android platform, the mobile phone-based prompted recall method, and the management, manipulation, and analysis of GPS data for trip characteristics imputation. The survey commenced in October 2013 and was a person-based pilot study designed to be collected over a week. Although it did not provide a statistically representative sample, the overall experience helps establish the various parameters and procedures for the development of surveys with similar initiatives. The chapter concludes with findings and lessons learned from this smartphone-based travel survey and suggestions for how future smartphone-based surveys might be prepared and conducted.
LED frame inspection system design and implementation