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A Low Cost IoT Cyber-Physical System for Vehicle and Pedestrian Tracking in a Smart Campus

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References

2011The use of Bluetooth for analysing spatiotemporal dynamics of human movement at mass events: A case study of the Ghent Festivities221 cited
2014Pattern mining in tourist attraction visits through association rule learning on Bluetooth tracking data: A case study of Ghent, Belgium141 cited
2016Bluetooth tracking of humans in an indoor environment: An application to shopping mall visits89 cited
2015Assessment of antenna characteristic effects on pedestrian and cyclists travel-time estimation based on Bluetooth and WiFi MAC addresses84 cited
2014A Bayesian approach to detect pedestrian destination-sequences from WiFi signatures81 cited
2014Tracking spatio-temporal movement of human in terms of space utilization using Media-Access-Control address data50 cited
2020Using Smart City Tools to Evaluate the Effectiveness of a Low Emissions Zone in Spain: Madrid Central39 cited

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2024Multimodal urban mobility solutions for a smart campus using artificial neural networks for route determination and an algorithm for arrival time prediction6 cited

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