Statistical Modelling for Estimation of OD Matrices for Public Transport Using Wi-Fi and APC Data

Jan Erik Håkegård · Tor André Myrvoll · Tor Rune Skoglund

18 citations0/0 files storedIEEE International Conference on Intelligent Transportation Systems (ITSC)

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Human Mobility and Location-Based Analysis Transportation Planning and Optimization Urban Transport and Accessibility

Abstract

In this paper, statistical models are proposed to estimate trip level origin-destination (OD) matrices for public transport based on Wi-Fi data traffic. Wi-Fi monitoring equipment installed in 32 buses in Stavanger, Norway, collected Wi-Fi data during several months. The median received signal level of frames transmitted by a device and the time interval between the first and last frame are modelled as statistical distributions, conditional on whether the Wi-Fi device is on the bus or not. Based on these models and using passenger load data from Automatic Passenger Counting (APC) systems installed in the buses, the probability for each detected device being on or off the bus is estimated. When tested on large data sets, the proposed statistical method is more accurate than when hard thresholds for median received signal level and time interval of observation are applied.

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2011Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems 2006Bus passenger Origin-Destination Matrix estimation using Automated Data Collection systems 2016Estimation of Origin and Destination Information from Bluetooth and Wi-Fi Sensing for Transit 2017Counting public transport passenger using WiFi signatures of mobile devices 2017Estimating Bus Loads and OD Flows Using Location-Stamped Farebox and Wi-Fi Signal Data 2016Use of Mobile Device Wireless Signals to Determine Transit Route-Level Passenger Origin–Destination Flows: Methodology and Empirical Evaluation

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2023Online Public Transit Ridership Monitoring Through Passive WiFi Sensing 2019Bus passenger counts using Wi-Fi signals: some cautionary findings 2021Bus OD matrix reconstruction based on clustering Wi-Fi probe data 2024Origin–destination matrices from smartphone apps for bus networks 2022Overview of Wi-Fi-Based Automatic Passenger Counting Solutions in Public Urban Transport 2024Estimation of dynamic Origin–Destination matrices in a railway transportation network integrating ticket sales and passenger count data

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