Enhanced Magnetic Wireless Sensor Network Algorithm for Traffic Flow Monitoring in Low-Speed Congested Traffic

Fimbombaya, Haji Said; Mvungi, Nerey H.; Ndyetabura, Hamisi; Iddi, Hashimu Uledi

doi:10.1155/2020/5875398

Cited by 6 publications

(4 citation statements)

References 12 publications

(10 reference statements)

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“…The authors [ 26 ] introduce a multi-functional wireless magnetic sensor and propose an alternative, efficient and accurate detection method to solve the drift named “Wake effect” caused by the weather environment and the traffic flow environment. Another paper improves the performance of SCAN and Decision Algorithm (SDA) [ 27 ].The new algorithm, based on magnetic sensors, adds a two-pass moving average filter to improve the signal to noise ratio (SNR) after analog-to-digital conversion. The improved mathematical capabilities allow us to capture additional features of vehicle orientation and classification.…”

Section: Efficiencymentioning

confidence: 99%

Efficient and Safe Strategies for Intersection Management: A Review

Wang

Guo

Yang

2021

Sensors

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Intersection management is a sophisticated event in the intelligent transportation system due to a variety of behavior for traffic participants. This paper primarily overviews recent studies on the scenes of intersection, aiming at improving the efficiency or guaranteeing the safety when vehicles pass the crossing. These studies are respectively surveyed from the perspectives of efficiency and safety. Firstly, recent contributions to efficiency-oriented, intersection management overviews from four scenes, including congestion avoidance, green light optimized speed advisory (GLOSA), trajectory planning, and emergency vehicle priority preemption control. Furthermore, the studies on intersection collision detection and abnormal information warning are surveyed in the safety category. The corresponding algorithms for velocity and route management presented in the surveyed works are discussed.

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Section: Efficiencymentioning

confidence: 99%

Efficient and Safe Strategies for Intersection Management: A Review

Wang

Guo

Yang

2021

Sensors

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“…Korišćenje akustičnih detektora u proceni drumskog saobraćaja se retko primenjuje u praksi. Međutim, postoje eksperimentalna istraživanja u ovoj oblasti [3,4]. Integrisani senzori magnetnog polja imaju prednosti u odnosu na ostale senzorske tehnologije poput neosetljivosti na klimatske i vremenske prilike i niske cene [5].…”

Section: Uvodunclassified

Predikcija Bazirana Na Mašinskom Učenju I Senzorskim Podacima

Mladenović

Uzelac

Zdravković

et al. 2020

Zbornik Radova Trideset Osmog Simpozijuma O Novim Tehnologijama U Poštanskom I Telekomunikacionom Saobraćaju – Postel 2020

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“…The use of batteries can further decrease the pavement damage and the installation cost, because there is no need to install cables to the detector. These models can form wireless sensor networks (WSNs) [ 1 , 6 , 7 ]. Magnetometer-based vehicle detection systems can also effectively work when they are mounted on the side of the roads [ 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Vehicle Classification System Using a Single Magnetometer

Šarčević

Pletl

Odry

2022

Sensors

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Vehicle count and classification data are very important inputs for intelligent transportation systems (ITS). Magnetic sensor-based technology provides a very promising solution for the measurement of different traffic parameters. In this work, a novel, real-time vehicle detection and classification system is presented using a single magnetometer. The detection, feature extraction, and classification are performed online, so there is no need for external equipment to conduct the necessary computation. Data acquisition was performed in a real environment using a unit installed into the surface of the pavement. A very large number of samples were collected containing measurements of various vehicle classes, which were applied for the training and the validation of the proposed algorithm. To explore the capabilities of magnetometers, nine defined vehicle classes were applied, which is much higher than in relevant methods. The classification is performed using three-layer feedforward artificial neural networks (ANN). Only time-domain analysis was performed on the waveforms using multiple novel feature extraction approaches. The applied time-domain features require low computation and memory resources, which enables easier implementation and real-time operation. Various combinations of used sensor axes were also examined to reduce the size of the classifier and to increase efficiency. The effect of the detection length, which is a widely used feature, but also speed-dependent, on the proposed system was also investigated to explore the suitability of the applied feature set. The results show that the highest achieved classification efficiencies on unknown samples are 74.67% with, and 73.73% without applying the detection length in the feature set.

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Enhanced Magnetic Wireless Sensor Network Algorithm for Traffic Flow Monitoring in Low-Speed Congested Traffic

Cited by 6 publications

References 12 publications

Efficient and Safe Strategies for Intersection Management: A Review

Efficient and Safe Strategies for Intersection Management: A Review

Predikcija Bazirana Na Mašinskom Učenju I Senzorskim Podacima

Real-Time Vehicle Classification System Using a Single Magnetometer

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