CASPT 2018 Yuval Hadas Department of Management, Bar-Ilan University Max ve-Anna Webb street, Ramat Gan 5290002, Israel yuval.hadas@biu.ac.il Boaz Ben Moshe Department of Computer Science Ariel University, POB 3, Ariel 40700, Israel benmo@g.ariel.ac.il Event-Based Passive Tracking of Public Transportation Passengers Yuval Hadas · Boaz Ben Moshe Abstract The quality and availability of data collection systems are essential for a high-quality planning and operations of public transportation (PT) systems. Passengers' demand (both spatial and temporal) is a key component in those phases. Acquiring accurate and complete passengers' demand is a complex and time- consuming process. Various information technologies are used to assist in the planning and operations phases. Unfortunately, those systems are not capable of completely tracking passengers' movements throughout the system, i.e., the identification of the major events: arrival at a stop, boarding/alighting (unless swipe- in/out is performed on all trip legs), in-vehicle positioning, and transferring. Global Navigation Satellite System (GNSS) technology can overcome some of the disadvantages. The main drawback of such an approach is the high-energy consumption. Other wireless options exist, such as WLAN and Bluetooth, which are more energy efficient. In this work, a Bluetooth Low Energy based system for tracking PT passengers is introduced. The advantages are: low-energy consumption, acceptable positioning accuracy, passive and anonymous data collection. A framework is introduced, along with algorithms for the automatic identification of these major events. A case study provides insights on the capabilities of the model. Keywords: Public transportation · Data collection · Tracking · Positioning · Bluetooth