Portable Roadside Sensors for Vehicle Counting, Classification, and Speed Measurement

Taghvaeeyan, Saber; Rajamani, Rajesh

doi:10.1109/tits.2013.2273876

Cited by 146 publications

(84 citation statements)

References 14 publications

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“…Its working principle is mainly divided into: detecting the mechanical force that can make a certain switch contact closed; detecting the changes of some physical quantities caused by the movement or presence of the vehicle; detecting the image changes within the camera image range [2][3]. The type of vehicle detector includes pressure detector, magnetic induction detector, ultrasonic detector, optical detector, radar detector and loop detector.…”

Section: Vehicle Detection Principle and Vehicle Detector Selectionmentioning

confidence: 99%

Design of Low Power Vehicle Sensing Device Based on Smart City

Xu¹,

Ruan²

2018

dteees

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Abstract. At present in China, the occurrence frequency of haze increases every year. The air quality reached severe pollution situation in more than 20 provinces and 100 cities. The pollutants from motor vehicles in cities are the main contributor to haze, while the speed and flow of motor vehicles are the main factors affecting the pollutants in small range. In this paper, the author presents a design method for low power and low data vehicle detection system used in intelligent city monitoring, which replaces the existing intelligent measurement and detection device. The innovation point is to reduce the amount of information and reduce the energy consumption of information collection on the basis of providing the same amount of information. The low power consumption vehicle detection system presented in this paper is 2 orders of magnitude lower in power consumption compared with the traditional detection system; compared with the video detection system, the amount of data is 3 orders of magnitude lower.

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Section: Vehicle Detection Principle and Vehicle Detector Selectionmentioning

confidence: 99%

Design of Low Power Vehicle Sensing Device Based on Smart City

Xu¹,

Ruan²

2018

dteees

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“…It is possible to include other types of sensors for monitoring traffic within WSN, as proposed by [12] and [13], in which magnetic sensors are used.…”

Section: B Implementationmentioning

confidence: 99%

A rapid deployment wireless sensor network for sustainable urban mobility

Martín-Guzmán

Marton-Avila

Lozano

et al. 2015

2015 23rd Mediterranean Conference on Control and Automation (MED)

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Mobility in urban environments is constrained by a steadily growing traffic, while infrastructures usually cannot be expanded. Therefore, improving mobility and sustainability must go hand in hand with a better management of available resources, incorporating traffic control strategies that can be adapted to real conditions at any given time. One of the main obstacles is obtaining the necessary information to implement such schemes, because of either the information these systems provide, or the cost and time they require to be deployed. A feasible alternative is wireless sensor networks, which can provide information about conditions in an area of interest in order to allow more efficient planning and deployment of more sophisticated algorithms control. At the same time, such a sensor network can be deployed quickly and at a limited cost.

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“…This method directly takes movement part oneself as static reference datum, converting two objects relative movement to the rotation of wheel [11]. The Hall components detect the rotation angle and the direction of roll wheel, and then the displacement is calculated.…”

Section: Introductionmentioning

confidence: 99%