Research on vehicle speed detection technology based on micro-magnetoresistive sensing equipment

Zhang, Wei; Wang, Li; Li, Chunli; Mi, Chen; Sheng, Tao

doi:10.1051/matecconf/201713900208

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…At low speed, the amount of charge on the strip is unstable, hence, the response time is poor. A methodology to measure vehicle speed using magneto resistive vehicle detection equipment buried in road is introduced in [18].…”

Section: Related Workmentioning

confidence: 99%

Novel Structure of a Solid Rotary Inverter Sensor for Speed Measurement of Vehicles

Javed,

Ullah,

Kamal

2024

IEEE Access

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Accurate speed measurement and running records are integral to ensure safety and periodic maintenance of vehicles. This paper presents a novel structure of a solid rotary inverter (DAC) sensor for linear speed measurement of vehicles by eliminating reliance on magnets, coils, armatures, and toothed rings. The electromechanical sensor is exited through the vehicle's DC power from the battery and utilizes a specially designed solid rotary part that is rotated mechanically by the wheel, enabling conversion of the DC into three-phase AC. The frequency of the produced AC voltage is proportional to the rotation speed. The three-phase alternating voltage is then used to run an analog speedometer gauge (a three-phase AC motor) to display the linear speed. The study determines stability analysis and response assessment by modeling a novel electromechanical rotational system and then evaluating its optimal design parameters. Real-time output voltage data from the sensor is acquired using a Rohde & Schwarz RTM 2034 oscilloscope and processed in MATLAB R2022b for frequency analysis. Experimental tests are conducted in a laboratory setting, varying the rotational speed sweep of the sensor from 150 to 450 RPM and translating the results into linear speed. A machine learning regression technique is applied to features such as shaft rotational speed, angular velocity, frequency, and period with linear speed. The obtained results reveal a total harmonic distortion (THD) value of -28.9778 dB (3.557%), meeting the criteria outlined in the IEEE 519-2014 "Recommended Practice and Requirements for Harmonic Control in Electric Power Systems."INDEX TERMS Solid shaft, speedometer sensor, inverter, system modeling, total harmonic distortion I. INTRODUCTION

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Section: Related Workmentioning

confidence: 99%

Novel Structure of a Solid Rotary Inverter Sensor for Speed Measurement of Vehicles

Javed,

Ullah,

Kamal

2024

IEEE Access

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“…The vehicle equipment necessary in road safety has seen a significant evolution with the introduction of active safety systems such as the anti-lock braking system, the traction control system, the stability control system, etc. Vehicle active safety systems are those that aim to prevent collisions or lower the likelihood of having one in the automobile industry [56].…”

Section: Incident Detectors Through In-vehicle Equipmentmentioning

confidence: 99%

A Review of Artificial Intelligence and Machine Learning for Incident Detectors in Road Transport Systems

Olugbade

Ojo²,

Imoize

et al. 2022

MCA

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Road transport is the most prone to accidents, resulting in significant fatalities and injuries. It also faces a plethora of never-ending problems, such as the frequent loss of lives and valuables during an accident. Appropriate actions need to be taken to address these problems, such as the establishment of an automatic incident detection system using artificial intelligence and machine learning. This article explores the overview of artificial intelligence and machine learning in facilitating automatic incident detector systems to decrease road accidents. The study examines the critical problems and potential remedies for reducing road traffic accidents and the application of artificial intelligence and machine learning in road transportation systems. More, new, and emerging trends that reduce frequent accidents in the transportation sector are discussed extensively. Specifically, the study organized the following sub-topics: an incident detector with machine learning and artificial intelligence and road management with machine learning and artificial intelligence. Additionally, safety is the primary concern of road transport; the internet of vehicles and vehicle ad hoc networks, including the use of wireless communication technologies such as 5G wireless networks and the use of machine learning and artificial intelligence for road transportation systems planning, are elaborated. Key findings from the review indicate that route optimization, cargo volume forecasting, predictive fleet maintenance, real-time vehicle tracking, and traffic management are critical to safeguarding road transportation systems. Finally, the paper summarizes the challenges facing the application of artificial intelligence in road transport systems, highlights the research trends, identifies the unresolved questions, and highlights the essential research takeaways. The work can serve as reference material for road transport system planning and management.

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Speed Detection using Haar-Cascade Classifier and Pixel per Meter

Vadhadiya,

Jayavarapu,

Mudigonda

et al. 2023

2023 2nd International Conference on Edge Computing and Applications (ICECAA)

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Research on vehicle speed detection technology based on micro-magnetoresistive sensing equipment

Cited by 3 publications

References 2 publications

Novel Structure of a Solid Rotary Inverter Sensor for Speed Measurement of Vehicles

Novel Structure of a Solid Rotary Inverter Sensor for Speed Measurement of Vehicles

A Review of Artificial Intelligence and Machine Learning for Incident Detectors in Road Transport Systems

Speed Detection using Haar-Cascade Classifier and Pixel per Meter

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