Magnetoresistors for vehicle detection and identification

Phan, Trung Quy; Kwan, Bing W.; Tung, L.J.

doi:10.1109/icsmc.1997.633269

Cited by 11 publications

(14 citation statements)

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“…To detect vehicles the T-Sensor node is equipped with a HMC1041Z magneto-resistive (MR) sensor from Honeywell [35]. The reasons why we adopt such an MR sensor are as follows: firstly, an MR sensor has been used in the vehicle detection field and proven with inductance loops for many years [17,20,21,29]. Unlike laser or PIR sensors, a MR sensor measuring perturbation of the Earth's ambient magnetic field (−6∼+6 gauss for HMC1041Z) by a vehicle doesn't detect other objects such as humans, and it is not easily interfered by weather as explained in Section 2.…”

Section: System Architecture and Designmentioning

confidence: 99%

“…T-Sensor nodes, enclosed in slim and hard cases, are taped to the pavement. Each T-Sensor node equipped with a magneto-resistive sensor [17–19] detects the disturbance of the Earth magnetic field caused by a vehicle and identifies the approach or the departure of the vehicle with a detection algorithm. It sends the event packet to T-Sink node.…”

Section: Introductionmentioning

confidence: 99%

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A Wireless Sensor Network-Based Portable Vehicle Detector Evaluation System

Yoo

2013

Sensors

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In an upcoming smart transportation environment, performance evaluations of existing Vehicle Detection Systems are crucial to maintain their accuracy. The existing evaluation method for Vehicle Detection Systems is based on a wired Vehicle Detection System reference and a video recorder, which must be operated and analyzed by capable traffic experts. However, this conventional evaluation system has many disadvantages. It is inconvenient to deploy, the evaluation takes a long time, and it lacks scalability and objectivity. To improve the evaluation procedure, this paper proposes a Portable Vehicle Detector Evaluation System based on wireless sensor networks. We describe both the architecture and design of a Vehicle Detector Evaluation System and the implementation results, focusing on the wireless sensor networks and methods for traffic information measurement. With the help of wireless sensor networks and automated analysis, our Vehicle Detector Evaluation System can evaluate a Vehicle Detection System conveniently and objectively. The extensive evaluations of our Vehicle Detector Evaluation System show that it can measure the traffic information such as volume counts and speed with over 98% accuracy.

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Section: System Architecture and Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Wireless Sensor Network-Based Portable Vehicle Detector Evaluation System

Yoo

2013

Sensors

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“…In Phan [1997] and Wahlström [2010], the vehicle magnetic dipole consists of two components, one related to its reference frame and the other is oriented to the earth magnetic field. The first one representing the permanent magnetization m 0 while the second one representing the induced magnetic dipole moment.…”

Section: Sensor Modelmentioning

confidence: 99%

“…One is in the vehicle's direction and the other is in the direction of the earth magnetic field. The vehicle magnetic field can be modeled as a magnetic dipole, see Phan [1997]. The change in the magnetic field, as it is observed by a stationary sensor, is a function of the motion of the vehicle and also known as the magnetic signature of the vehicle.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Vehicle Tracking for Traffic Monitoring Based on Road Surface Mounted Magnetic Sensors

Kadhim

Birk

Gustafsson

2013

IFAC Proceedings Volumes

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The aim of this work is to evaluate a vehicle tracking scheme as a means of monitoring traffic on roads. The scheme can be used as a component in a traffic monitoring system which can provide traffic management systems and road maintainers with traffic information. Vehicle tracking is achieved by determining vehicle position, velocity and magnetic moment using a nonlinear weighted least squares method (NWLS) on readings from two 3-axes magnetic sensors. The tracking was performed both in simulation and in real life. The traffic monitoring system is composed of two adjacently glue attached wireless sensor nodes, which are placed at a distance of 1 m along the road. A potential misalignment of the sensors due to placement errors is analyzed in simulation and addressed.

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“…In addition, ITS (Intelligent Transport System) and telematics [3–9] have advantages by incorporating WSNs, since sensors can be paved into the road. In this paper, we propose a novel WSN application called School zone Safety System or S3, and report real world experiences from its development and deployment.…”

Section: Introductionmentioning

confidence: 99%

S3: School Zone Safety System Based on Wireless Sensor Network

Yoo

Chong

Kim

2009

Sensors

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School zones are areas near schools that have lower speed limits and where illegally parked vehicles pose a threat to school children by obstructing them from the view of drivers. However, these laws are regularly flouted. Thus, we propose a novel wireless sensor network application called School zone Safety System (S3) to help regulate the speed limit and to prevent illegal parking in school zones. S3 detects illegally parked vehicles, and warns the driver and records the license plate number. To reduce the traveling speed of vehicles in a school zone, S3 measures the speed of vehicles and displays the speed to the driver via an LED display, and also captures the image of the speeding vehicle with a speed camera. We developed a state machine based vehicle detection algorithm for S3. From extensive experiments in our testbeds and data from a real school zone, it is shown that the system can detect all kinds of vehicles, and has an accuracy of over 95% for speed measurement. We modeled the battery life time of a sensor node and validated the model with a downscaled measurement; we estimate the battery life time to be over 2 years. We have deployed S3 in 15 school zones in 2007, and we have demonstrated the robustness of S3 by operating them for over 1 year.

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Magnetoresistors for vehicle detection and identification

Cited by 11 publications

References 0 publications

A Wireless Sensor Network-Based Portable Vehicle Detector Evaluation System

A Wireless Sensor Network-Based Portable Vehicle Detector Evaluation System

Evaluation of Vehicle Tracking for Traffic Monitoring Based on Road Surface Mounted Magnetic Sensors

S3: School Zone Safety System Based on Wireless Sensor Network

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