Demo: WiFlow

Musa, ABM; Eriksson, Jakob

doi:10.1145/2070942.2071023

Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems 2011

DOI: 10.1145/2070942.2071023

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Demo: WiFlow

ABM Musa

Jakob Eriksson

Abstract: A real-time travel time estimation system is demonstrated that uses Wi-Fi monitors deployed along surface streets to capture Wi-Fi packets from smartphones in passing vehicles. Travel time is estimated based on observations of the same vehicle by two or more monitors.

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Estimating real-time high-street footfall from Wi-Fi probe requests

Soundararaj

Cheshire

Longley

2019

International Journal of Geographical Information Science

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The accurate measurement of human activity with high spatial and temporal granularity is crucial for understanding the structure and function of the built environment. With increasing mobile ownership, the Wi-Fi 'probe requests' generated by mobile devices can act as a cheap, scalable and real-time source of data for establishing such measures. The two major challenges we face in using these probe requests for estimating human activity are: filtering the noise generated by the uncertain field of measurement, and clustering anonymised probe requests generated by the same devices together without compromising the privacy of the users. In this paper we demonstrate that we can overcome these challenges by using class intervals and a novel graph based technique for filtering and clustering the probe requests which in turn, enables us to reliably measure real-time pedestrian footfall at retail high streets.

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Estimating real-time high-street footfall from Wi-Fi probe requests

Soundararaj

Cheshire

Longley

2019

International Journal of Geographical Information Science

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Estimation of local traffic conditions using Wi-Fi sensor technology

Maiti

Chilukuri

2023

Journal of Intelligent Transportation Systems

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Demo: WiFlow

Abstract: A real-time travel time estimation system is demonstrated that uses Wi-Fi monitors deployed along surface streets to capture Wi-Fi packets from smartphones in passing vehicles. Travel time is estimated based on observations of the same vehicle by two or more monitors.

Cited by 2 publications

References 1 publication

Estimating real-time high-street footfall from Wi-Fi probe requests

Estimating real-time high-street footfall from Wi-Fi probe requests

Estimation of local traffic conditions using Wi-Fi sensor technology

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