A controlled trial of a commodity sensors for a streetlight-mounted traffic detection system

Mohring, Karl, Myers, Trina, and Atkinson, Ian (2018) A controlled trial of a commodity sensors for a streetlight-mounted traffic detection system. In: Proceedings of the Australasian Computer Science Week Multiconference. 10. From: ACSW'18: Australasian Computer Science Week Multiconference, 29 January - 2 February 2018, Brisbane, QLD, Australia.

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Abstract

A smart city is one that embraces technology and information to improve the lives of its citizens. Public services and infrastructure, such as a city's traffic and public lighting networks, could be more efficient by observing and adapting to changes in the urban environment. More efficient management of such services can enhance citizens' quality of life and decrease the cost of living. However, the hardware and data collection costs required to gather the information for a smart city potentially negates the expected benefits. This paper investigates low-cost and scalable technologies to provide economically important data for civil defense and traffic management using a streetlight-mounted sensor platform. The platform consists of three sensor technologies for pedestrian and vehicle detection: 1) Passive Infrared detection (PIR); 2) thermal imaging; and 3) lidar detection. These technologies were evaluated in a series of controlled road tests to determine their accuracy in detecting traffic volume. Results show that a lidar and an infrared array sensor each counted traffic with over 98% accuracy and with a combined total cost of less than $250 USD in a series of controlled trials involving over 300 vehicle events. The low-cost, lightweight, minimal size, and the ability to detect traffic at a distance make the sensor platform an ideal candidate for rapid and widespread integration with road lighting systems.

Item ID: 52987
Item Type: Conference Item (Research - E1)
ISBN: 978-1-4503-5436-3
Keywords: commodity, Internet of Things, vehicle detection, sensors, Smart cities, wireless sensor networks
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Date Deposited: 11 Jul 2018 00:01
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0805 Distributed Computing > 080503 Networking and Communications @ 50%
08 INFORMATION AND COMPUTING SCIENCES > 0805 Distributed Computing > 080504 Ubiquitous Computing @ 50%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970108 Expanding Knowledge in the Information and Computing Sciences @ 100%
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