Review of GPS Travel Survey and GPS Data-Processing Methods

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A comparative study of machine learning classifiers for modeling travel mode choice (2017, methodology): “For52 example, machine learning models are particularly useful for classifying travel modes and inferring trip53 purposes from global position system and acceleration data (e.g. Shen and Stopher, 2014; Gong et al., 2014;54 Shafique and Hato, 2015).”
Urban traffic signal control with connected and automated vehicles: A survey (2019, background): “The delayed/missed vehicle information and the position errors (Meng et al., 2018; Shen and Stopher, 2014; Waterson and Box, 2012) may lead to failures of pre-selected signal timing plans or even result in traffic accidents.”