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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View at Publisher Website: https://doi.org/10.1504/IJGUC.2018.10016...
 
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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 (Refereed Research - C1)
Keywords: commodity, Internet of Things, vehicle detection, sensors, smart cities, wireless sensor networks
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ISSN: 1741-8488
Funders: James Cook University (JCU)
Projects and Grants: JCU eResearch Centre
Date Deposited: 09 Oct 2018 00:24
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0805 Distributed Computing > 080503 Networking and Communications @ 10%
08 INFORMATION AND COMPUTING SCIENCES > 0805 Distributed Computing > 080504 Ubiquitous Computing @ 50%
08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080105 Expert Systems @ 40%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970110 Expanding Knowledge in Technology @ 100%
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