Abstract
Developing seamless smart parking solutions remain an active research area. User coordination burden remains high, and systems based on complex instrumentation are often expensive and costly to maintain. Contemporary parking lot management systems are slow to adopt new technology, particularly in cases where there is no perceived immediate return on investment. We propose the use of a low cost, low power, Bluetooth Low Energy (BLE) based outdoor localization system coupled with a Random Forest classifier and dual-mode Bluetooth mesh network to provide space occupancy detection and sensor data transfer. To balance computational demands with cost, we leverage fog computing paradigms to shift computational capability near the sensor network where it can be used without an expensive network back-haul to a data center or cloud. We provide operational experiment results and analysis, and a study on the effects on accuracy from various network complexity and radio map minimization schemes.
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\(\copyright \) 2019 The MITRE Corporation. ALL RIGHTS RESERVED. The author’s affiliation (pseymer@mitre.org) with The MITRE Corporation is provided for identification purposes only, and is not intended to convey or imply MITRE’s concurrence with, or support for, the positions, opinions, or viewpoints expressed by the author. Approved for Public Release 19-2570. Distribution Unlimited.
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Seymer, P., Wijesekera, D., Kan, CD. (2021). Smart Parking Zones Using Meshed Bluetooth Sensor Networks. In: Helfert, M., Klein, C., Donnellan, B., Gusikhin, O. (eds) Smart Cities, Green Technologies and Intelligent Transport Systems. SMARTGREENS VEHITS 2019 2019. Communications in Computer and Information Science, vol 1217. Springer, Cham. https://doi.org/10.1007/978-3-030-68028-2_12
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