Versatile real-time traffic monitoring system using wireless smart sensors networks

Balid, Walid; Tafish, Hasan; Refai, Hazem H.

doi:10.1109/wcnc.2016.7564922

Cited by 21 publications

(11 citation statements)

References 23 publications

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“…In another work along these lines [ 34 ] a sensor network was proposed, which enables counting and classification of vehicles. A sensor node was designed, which includes a magnetometer, accelerometer, temperature sensors, GPS module and an IEEE 802.15.4 wireless communication interface.…”

Section: Sensing Technologiesmentioning

confidence: 99%

A Survey and Comparison of Low-Cost Sensing Technologies for Road Traffic Monitoring

Bernaś

Płaczek

Korski

et al. 2018

Sensors

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This paper reviews low-cost vehicle and pedestrian detection methods and compares their accuracy. The main goal of this survey is to summarize the progress achieved to date and to help identify the sensing technologies that provide high detection accuracy and meet requirements related to cost and ease of installation. Special attention is paid to wireless battery-powered detectors of small dimensions that can be quickly and effortlessly installed alongside traffic lanes (on the side of a road or on a curb) without any additional supporting structures. The comparison of detection methods presented in this paper is based on results of experiments that were conducted with a variety of sensors in a wide range of configurations. During experiments various sensor sets were analyzed. It was shown that the detection accuracy can be significantly improved by fusing data from appropriately selected set of sensors. The experimental results reveal that accurate vehicle detection can be achieved by using sets of passive sensors. Application of active sensors was necessary to obtain satisfactory results in case of pedestrian detection.

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Section: Sensing Technologiesmentioning

confidence: 99%

A Survey and Comparison of Low-Cost Sensing Technologies for Road Traffic Monitoring

Bernaś

Płaczek

Korski

et al. 2018

Sensors

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“…Using Wireless Smart Sensors Networks shows how easy it is to track data using wireless sensors on the road [10]. But the main problem with that system is the main sensors that we will use on Work from Joint Optimal Placement, Routing, and Flow assignment in wireless sensor Networks for Structural Health Monitoring shows how wireless sensors can be used to check joint placement but the main drawback of these sensors are that they are not fully optimal [11] and wired sensors are fully optimal, we know that wireless is more convenient but we need our sensors to be fully optimal until wireless sensors don"t reach that point it"s better to use the wired sensors.…”

Section: Work From Versatile Real-time Traffic Monitoring Systemsmentioning

confidence: 99%

Wired Sensor Systems for Water Quality Monitoring

M.S*.,

kumari,

singh

et al. 2019

IJRTE

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Water is an essential need and elixir of life. People all the world are fighting for their drinking water in order to keep it clean. No matter in what form it is rivers, lakes etc people have taken extreme measures to keep their water drinkable and useable for both humans and animals. Water is a significant characteristic asset without which no life can be envisioned. In any case, individuals misuse this real asset and cause wastage of water. We provide energy saving solution for monitoring the water quality. The proposed idea will build an IOT based sensor which monitors the pH, temperature, conductivity, dissolved oxygen, turbidity, bacteria, etc. present in the water collected. The sensors collect data and send it through a network. Then server will upload the data to the cloud. The remote water station will read the collected data and determine the quality of water. Henceforth, this application can be used on bigger scales, saves time and man-power.

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“…Unlike IDLs, MAG are passive sensors that rely on the disturbance of the Earth's magnetic field relative to the presence of a metallic object (i.e., vehicle). Therefore, the amount of preamble ferrous material in a vehicle structure plays a major role in a sensor's detection range (11)(12)(13). A vehicle with a large amount of steel can be detected from quite a distance away.…”

Section: Length-based Vehicle Classification Schemesmentioning

confidence: 99%

Real-Time Magnetic Length-Based Vehicle Classification: Case Study for Inductive Loops and Wireless Magnetometer Sensors in Oklahoma State

Balid

Refai

2018

Transportation Research Record: Journal of the Transportation R

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Providing reliable, real-time vehicle volume and classification information is vital for 21st century intelligent transportation systems (ITS). Large vehicles have a major impact on traffic flow, as well as road maintenance. Information about passenger car versus truck volume is crucial for all transportation agencies. The work presented here provides a comprehensive method to develop length-based vehicle classification (LBVC) techniques that could be implemented using inductive loops (IDL) or magnetometer sensors (MAG). Distinctive LBVC schemes were developed to bin vehicles into groups based on structural similarity and statistical characteristics. Data collection, including vehicle magnetic length (VML) estimates using IDL and MAG, was performed at different sites located on Oklahoma highways and rural roadways to capture various traffic characteristics. Video images were utilized as ground-truth for accurate data labeling. Extensive data analyses, including machine learning methods and probabilistic modeling, were conducted to define decision boundaries for developed LBVC schemes. Three scenarios were developed for determining optimal thresholding methods: total classification accuracy maximization, per-group classification error minimization, and equal classification error optimization. Evaluation revealed consistent and accurate performance for all developed schemes. Classification accuracies of 97.70% and 99.00% were reported using MAG and IDL, respectively. The developed classification models are computationally efficient and can provide real-time LBVC data. The models are intended to supplement or replace axle-based data collection methods used throughout Oklahoma. The methodology developed in this work will also benefit other states and territories interested in developing LBVC schemes.

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Versatile real-time traffic monitoring system using wireless smart sensors networks

Cited by 21 publications

References 23 publications

A Survey and Comparison of Low-Cost Sensing Technologies for Road Traffic Monitoring

A Survey and Comparison of Low-Cost Sensing Technologies for Road Traffic Monitoring

Wired Sensor Systems for Water Quality Monitoring

Real-Time Magnetic Length-Based Vehicle Classification: Case Study for Inductive Loops and Wireless Magnetometer Sensors in Oklahoma State

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