Overhead infrared sensor for monitoring vehicular traffic

Hussain, T M; Saadawi, Tarek; Ahmed, Sam

doi:10.1109/25.260764

Cited by 29 publications

(8 citation statements)

References 1 publication

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“…These frequency perturbations are counted toward vehicle counting. These detectors are relatively expensive to install and maintain because they often break down by passing vehicles [12,13]. Because of their small detection zones, multiple inductive loop detectors have to be employed for multilane roads, vehicle direction, classification and speed calculations [13,14].…”

Section: Sensing Technologies For Traffic Flow Monitoringmentioning

confidence: 99%

Sensing technologies for traffic flow characterization: From heterogeneous traffic perspective

Khattak¹,

Minallah²,

Khan³

et al. 2022

J Appl Eng Science

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Importance of detailed traffic flow characterization is immense for achieving intelligent transportation system. As such, great efforts in existing literature have gone into proposing different solutions for traffic flow characterization. Among these, first generation intrusive sensors such as pneumatic tube, inductive loop, piezoelectric and magnetic sensors were both labor intensive and expensive to install and maintain. These sensors were able to provide only vehicle count and classification under homogenous traffic conditions. Second generation non-intrusive sensors based solutions, though a marked improvement over intrusive sensors have the capability to only measure vehicle count, speed and classifications. Furthermore, both intrusive and non-intrusive sensors based solutions have limitations when employed under congested and heterogeneous traffic conditions. To overcome these limitations, a compute vision methodology has been employed for traffic characterization under heterogeneous traffic conditions. The proposed solution was field tested on a complex road configuration, comprising of a two-way multilane road with three U-turns. Unlike both intrusive and non-intrusive sensors, the proposed solution can detect pedestrians, two/three wheelers and animal/human driven carts. Furthermore, detailed flow parameters such as vehicle count, speed, spatial/temporal densities, trajectories and heat maps were measured.

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Section: Sensing Technologies For Traffic Flow Monitoringmentioning

confidence: 99%

Sensing technologies for traffic flow characterization: From heterogeneous traffic perspective

Khattak¹,

Minallah²,

Khan³

et al. 2022

J Appl Eng Science

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show abstract

“…This method has the advantage of being able to detect vehicles accurately, but it has the disadvantage that a sensor must be installed on each lane. There is also a risk of damage to the sensors, depending on the heights of the vehicles [ 5 – 7 ].…”

Section: Overview Of Ultrasonic Detection Systemsmentioning

confidence: 99%

Traffic Measurement on Multiple Drive Lanes with Wireless Ultrasonic Sensors

Jeon

Kwon

Jung

2014

Sensors

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An automated traffic measuring system for use on multiple drive lanes is proposed in this paper. This system, which uses ultrasonic sensors and a lateral scanning method, is suitable for use on real traffic roads. The proposed system can be easily established and maintained in various roadway environments. In addition, the system can be adjusted to measure traffic volumes according to the size and number of drive lanes. This paper describes the results of an experiment that the lateral scanning method can be easily applied to real traffic roads and provide a low error rate and real-time responses. This system can play an important role in accurately measuring traffic volumes as part of an intelligent transportation system.

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“…On the other hand, the literature demonstrates that PIR sensors are able to extract kinds of features and accordingly to distinguish people's behavior, gait, position, distance and etc. However, PIR sensors are not patent for human detection but also other targets such as vehicles [3,4]. Therefore it is natural to use PIR sensors to detect multitarget and classify them.…”

Section: Related Workmentioning

confidence: 99%

“…Beyond these characteristics, it provides accurate information for target presence and even the number of targets. Nowadays, many security systems have made PIR sensors to be a good alarm of intrusion [1] and a precise counter for targets who are not only people [2] but also vehicles [3,4] and so on. However, previous works mostly concentrate on detecting while we use PIR sensors to classify targets after detecting.…”

Section: Introductionmentioning

confidence: 99%