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

Authors: Karl A. Mohring; Trina S. Myers; Ian M. Atkinson

Addresses: Discipline of Information Technology, Division of Tropical Environments and Environments, James Cook University, Queensland, Australia ' Discipline of Information Technology, Division of Tropical Environments and Environments, James Cook University, Queensland, Australia ' Discipline of Information Technology, Division of Tropical Environments and Environments, James Cook University, Queensland, Australia

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. Owing to the prohibitive cost of specialised 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.

Keywords: commodity; Internet of Things; vehicle detection; sensors; smart cities; wireless sensor networks.

DOI: 10.1504/IJGUC.2018.095436

International Journal of Grid and Utility Computing, 2018 Vol.9 No.4, pp.333 - 344

Received: 04 Nov 2016
Accepted: 24 Jun 2017
Published online: 04 Oct 2018 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article