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原文传递 Bayesian Estimation of Passenger Boardings at Bus Stops Using Wi-Fi Probe Requests

题名：	Bayesian Estimation of Passenger Boardings at Bus Stops Using Wi-Fi Probe Requests
正文语种：	eng
作者：	Diego Benites Paradeda;Werner Kraus Jr.;Rodrigo Castelan Carlson;Laio Oriel Seman
作者单位：	Dept. of Automation and Systems Engineering Federal Univ. of Santa Catarina Florianopolis CEP 88040-900 Brazil;Dept. of Automation and Systems Engineering Federal Univ. of Santa Catarina Florianopolis CEP 88040-900 Brazil;Dept. of Automation and Systems Engineering Federal Univ. of Santa Catarina Florianopolis CEP 88040-900 Brazil;Graduate Program in Applied Computer Science Univ. of Vale do Itajai Itajai CEP 88302-901 Brazil Industrial and Systems Engineering Graduate Program Pontifical Catholic Univ. of Parana Curitiba Brazil
摘要：	The estimation of the number of passenger boardings at every bus stop along an itinerary was solved using a Bayesian method. The method employs probability distributions of Wi-Fi probe requests. Any available technique capable of uniquely identifying probe requests made by onboard Wi-Fi devices can be used for obtaining the samples needed for the estimation. Probability distributions of time intervals between consecutive probe requests provide the information needed for generating the probability density function of boarding amounts at each stop. A case study of synthetic probe requests randomly generated for a bus line comprised of 17 stops indicated the adequacy of the method. Its efficacy increases with the grouping of nearby stops in boarding zones. It is straightforward to modify the method for the estimation of alightings, origin-destination matrixes, and bus loads.
出版年：	2023
期刊名称：	Journal of Transportation Engineering
卷：	149
期：	6
页码：	04023045.1-04023045.12