Playing in traffic: an investigation of low-cost, non-invasive traffic sensors for street light luminaire deployments

Mohring, Karl, Myers, Trina, and Atkinson, Ian (2018) Playing in traffic: an investigation of low-cost, non-invasive traffic sensors for street light luminaire deployments. International Journal of Grid and Utility Computing, 9 (4). pp. 333-344.

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Abstract

Real-time traffic monitoring is essential to the development of smart cities as well as its potential for energy savings. However, real-time traffic monitoring is a task that requires sophisticated and expensive hardware. Due to the prohibitive cost of specialized sensors, accurate traffic counts are typically limited to intersections where traffic information is used for signalling purposes. The sparse arrangement of traffic detection points does not provide adequate information for intelligent lighting applications, such as adaptive dimming. This paper investigates the low-cost and off-the-shelf sensors to be installed inside street lighting luminaires for traffic sensing. A luminaire-mounted sensor test-bed installed on a moderately-busy road trialled three non-invasive presence-detection sensors: Passive Infrared (PIR), Sonar (UVD) and lidar. The proof-of-concept study revealed that a HC-SR501 PIR motion detector could count traffic with 73% accuracy at a low cost and may be suitable for intelligent lighting applications if accuracy can be further improved.

Item ID: 51700
Item Type: Article (Research - C1)
ISSN: 1741-8488
Keywords: commodity, Internet of Things, vehicle detection, sensors, smart cities, wireless sensor networks
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Funders: James Cook University (JCU)
Projects and Grants: JCU eResearch Centre
Date Deposited: 09 Oct 2018 00:24
FoR Codes: 46 INFORMATION AND COMPUTING SCIENCES > 4606 Distributed computing and systems software > 460609 Networking and communications @ 10%
46 INFORMATION AND COMPUTING SCIENCES > 4605 Data management and data science > 460511 Stream and sensor data @ 50%
46 INFORMATION AND COMPUTING SCIENCES > 4699 Other information and computing sciences > 469999 Other information and computing sciences not elsewhere classified @ 40%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970110 Expanding Knowledge in Technology @ 100%
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