UAI-FI: using artificial intelligence for automatic passenger counting through Wi-Fi and GPS data

Author:

Roriz Junior Marcos PaulinoORCID,Aliaga Medrano Ronny MarceloORCID,Farias Almeida CristianoORCID

Abstract

An important piece of information for planning public transportation is the number of passengers using the system. Several initiatives have started to explore the Wi-Fi packets generated by passengers’ smartphones as means to obtain this information. A sensing device located inside the bus can intercept and collect these packets. By applying filters, e.g., verifying if the signal strength is higher than a threshold, the sensor can infer passengers' presence/absence. However, such limits are set arbitrarily, leading to errors, for example, when close to bus stops. To address this issue, this article proposes a method (UAI-FI) based on an artificial intelligence technique (Support Vector Machine) to classify the origin of packets as inside or outside the bus. To validate UAI-FI, we applied and compared our approach to other methods in a bus line in Goiânia/Brazil. The results suggest that UAI-FI outperformed existing methods. Furthermore, it successfully classified the packet’s origin, obtaining 83.3% and 88.5% of the total number of passengers boarding and alighting the line. Despite the overall similarity, we highlight that UAI-FI’s counting curve presented a delay compared to the manual count indicating that the frequency that Wi-Fi packets are sent can cause the presence/absence of passengers to be perceived at different stops.

Publisher

Programa de Pos Graduacao em Arquitetura e Urbanismo

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Smartphone-Based Wi-Fi Analysis for Bus Passenger Counting;Computers, Materials & Continua;2024

2. Bayesian Estimation of Passenger Boardings at Bus Stops Using Wi-Fi Probe Requests;Journal of Transportation Engineering, Part A: Systems;2023-06

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