Vehicle Detection and Classification Using Passive Infrared Sensing

Oudat, Enas; Mousa, Mustafa; Claudel, Christian

doi:10.1109/mass.2015.62

Cited by 7 publications

(2 citation statements)

References 5 publications

(4 reference statements)

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“…For instance, these sensors were used in early studies [15][16][17] to control vehicular traffic. These tools have recently been used to develop new devices for real-time vehicle detection, classification, and speed estimation in wireless sensor networks [18][19][20][21].…”

Section: Advanced Speed Displaymentioning

confidence: 99%

Evaluating Driver Response to an Advanced Speed Display near Uncontrolled Median Openings

Sheykhfard

Haghighi²,

Kavianpour³

et al. 2022

Sustainability

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Uncontrolled median openings contribute to more road crashes because drivers do not obey traffic laws such as driving between lanes and following speed limits. This study examined the effectiveness of the different types of signs near an uncontrolled median opening in Mahmoud Abad, Iran. There were Signs 1 and 2 with a single message, while Signs 3 and 4 contained multi-messages. An Internet of Things (IoT) test system was developed to collect and record vehicle speed data before and after each sign installation. Results showed that speeding behavior decreased almost immediately after the road signs were installed and remained almost constant until the beginning of uncontrolled median openings. Moreover, multi-message traffic signs reduce vehicle speeds twice as much as single-message signs. Additionally, only multi-message signs are effective at reducing speed limit violations.

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Section: Advanced Speed Displaymentioning

confidence: 99%

Evaluating Driver Response to an Advanced Speed Display near Uncontrolled Median Openings

Sheykhfard

Haghighi²,

Kavianpour³

et al. 2022

Sustainability

View full text Add to dashboard Cite

show abstract

“…This interruption phenomenon and change of amplitude was used for vehicle counting. In[30], vehicle detection and classification was done using passive infrared sensors. In the proposed work, a combination of ultrasonic and infrared sensors were used for vehicle detection with the help of Gaussian mixture model.…”

mentioning

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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Fully self-powered instantaneous wireless traffic monitoring system based on triboelectric nanogenerator and magnetic resonance coupling

et al. 2021

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Vehicle Detection and Classification Using Passive Infrared Sensing

Cited by 7 publications

References 5 publications

Evaluating Driver Response to an Advanced Speed Display near Uncontrolled Median Openings

Evaluating Driver Response to an Advanced Speed Display near Uncontrolled Median Openings

Sensing technologies for traffic flow characterization: From heterogeneous traffic perspective

Fully self-powered instantaneous wireless traffic monitoring system based on triboelectric nanogenerator and magnetic resonance coupling

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