Wireless Sensor Network: Application to Vehicular Traffic

Chinrungrueng, Jatuporn; Kaewkamnerd, Saowaluck; Pongthornseri, Ronachai; Dumnin, Songphon; Sunantachaikul, Udomporn; Kittipiyakul, Somphong; Samphanyuth, Supat; Intarapanich, Apichart; Charoenkul, Sarot; Boonyanant, Phakphoom

doi:10.1007/978-3-642-12707-6_9

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…Magnetic sensor therefore detects vehicle presence by monitoring the Earth's magnetic filed as vehicle body and engine, made of ferromagnetic materials, movement cause fluctuation of Earth's magnetic field. The details of our detection and classification algorithms can be found in [6]. Figure 3 shows an example of magnetic signal obtained with the two HMC1021 sensors.…”

Section: Detection Algorithm and Information Processingmentioning

confidence: 99%

iParking: A parking management framework

Chinrungrueng

Dumnin

Pongthornseri

2011

2011 11th International Conference on ITS Telecommunications

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In this work we have proposed a parking management framework that monitors vehicles driving in and out, calculates the number of available parking spaces, and finally disseminates the information to the parking's customers. For monitoring vehicles, we show our implementation of magnetic sensor network. The magnetic sensor is capable of collecting number of vehicle passing over the sensor, estimating vehicle's speed and length. The data is communicated over wired or wireless links to the server and is stored in the database for analysis and the number of available parking spaces can be displayed for customers before entering the parking garage. The dissemination of the information collected is through social network such as Twitter and Facebook. The test results show that the system yields a very accurate vehicle counting. The data obtained are consistent with the characteristics of drivers who access the parking facility. Analysis of data collected with our system is shown to provide useful information on which our future prediction of parking spaces will be based.

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Section: Detection Algorithm and Information Processingmentioning

confidence: 99%

iParking: A parking management framework

Chinrungrueng

Dumnin

Pongthornseri

2011

2011 11th International Conference on ITS Telecommunications

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“…The magnetometer is preferably part of a wireless sensor network (WSN), where sensor data from several magnetometers are transmitted to nearby nodes for a centralized or decentralized implementation of detection and classification algorithms [4], [5], [6]. However, such sensor nodes also bring certain challenges.…”

Section: Introductionmentioning

confidence: 99%

Classification of Driving Direction in Traffic Surveillance Using Magnetometers

Wahlström

Hostettler

Gustafsson

et al. 2014

IEEE Trans. Intell. Transport. Syst.

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Abstract-Traffic monitoring using low-cost 2-axis magnetometers is considered. Though detection of metallic vehicles is rather easy, detecting the driving direction is more challenging. We propose a simple algorithm based on a nonlinear transformation of the measurements, which is simple to implement in embedded hardware. A theoretical justification is provided, and the statistical properties of the test statistic are presented in closed form. The method is compared to the standard likelihood ratio test on both simulated data and real data from field tests, where very high detection rates are reported, despite the presence of sensor saturation, measurement noise and near-field effects of the magnetic field.

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