A Low Cost Vehicle Counting System Based On The Internet of Things

Sitanayah, Lanny; Angdresey, Apriandy; Utama, Jeri Wahyu

doi:10.25042/epi-ije.022021.03

Cited by 8 publications

(4 citation statements)

References 10 publications

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“…Applications of the Internet of Things and data mining techniques have been implemented [9], [10] to detect incoming and outgoing vehicles and count how many vehicles are entering and leaving a parking space. In this application, moving objects are classified as cars, motorcycles, or people.…”

Section: Methodsmentioning

confidence: 99%

A Real-Time Application for Road Conditions Detection based on the Internet of Things

Sitanayah

Angdresey

Kristalino

2022

JOIV : Int. J. Inform. Visualization

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Bad road conditions may lead to road accidents, especially when drivers are unaware of potholes. The presence of potholes can increase from time to time and may get worse due to road age and bad weather. With the Internet of Things technology, vehicles on the road can be a means of collecting road condition data, such as vibration. The raw vibration data are useful only after they are processed into meaningful information. Information about the condition of roads can help other road users be aware of potholes. This paper proposes an Internet of Things application for road conditions detection. We design and implement a device comprising one NodeMCU ESP8266, one accelerometer gyroscope sensor to detect the existence of potholes based on the amount of detected vibration, and a GPS module to get the information about potholes' locations. For the web service, we use REST API so that users can get real-time potholes' information in the Android application. To cluster potholes based on detected vibration, i.e., deep, medium, and shallow, we implement the k-means clustering algorithm with k = 3. The Android application utilizes a Google map to visualize potholes' locations and the result of clustering on a road map. We use colored pins to indicate the depth of potholes. Deep potholes are shown on the map using red pins, medium potholes using orange pins, and shallow potholes using green pins.

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Section: Methodsmentioning

confidence: 99%

A Real-Time Application for Road Conditions Detection based on the Internet of Things

Sitanayah

Angdresey

Kristalino

2022

JOIV : Int. J. Inform. Visualization

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“…[101] This approach scans the environment to find vehicles. [50] Not found publication articles on using this sensor as a solution to this problem at this moment.…”

Section: Ultrasonic Sensormentioning

confidence: 99%

“…It measures the time difference between transmitted and received sound waves to calculate the distance of the obstacle. Ultrasonic sensors are widely used for measuring vehicle flow or free parking slot management [50,51]. The main disadvantage of ultrasonic sensors are their high sensitivity to environmental noises [52].…”

Section: Ultrasonic Sensormentioning

confidence: 99%

Review of IoT Sensor Systems Used for Monitoring the Road Infrastructure

Micko

Papcun

Zolotová

2023

Sensors

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An intelligent transportation system is one of the fundamental goals of the smart city concept. The Internet of Things (IoT) concept is a basic instrument to digitalize and automatize the process in the intelligent transportation system. Digitalization via the IoT concept enables the automatic collection of data usable for management in the transportation system. The IoT concept includes a system of sensors, actuators, control units and computational distribution among the edge, fog and cloud layers. The study proposes a taxonomy of sensors used for monitoring tasks based on motion detection and object tracking in intelligent transportation system tasks. The sensor’s taxonomy helps to categorize the sensors based on working principles, installation or maintenance methods and other categories. The sensor’s categorization enables us to compare the effectiveness of each sensor’s system. Monitoring tasks are analyzed, categorized, and solved in intelligent transportation systems based on a literature review and focusing on motion detection and object tracking methods. A literature survey of sensor systems used for monitoring tasks in the intelligent transportation system was performed according to sensor and monitoring task categorization. In this review, we analyzed the achieved results to measure, sense, or classify events in intelligent transportation system monitoring tasks. The review conclusions were used to propose an architecture of the universal sensor system for common monitoring tasks based on motion detection and object tracking methods in intelligent transportation tasks. The proposed architecture was built and tested for the first experimental results in the case study scenario. Finally, we propose methods that could significantly improve the results in the following research.

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“…Priohutomo et al [12] discussed the design of maneuver controls using a microcontroller to avoid the ship from the collision. Sitanayah et al [13] designed and implemented a low-cost wireless system to count the number of cars and motorcycles in a parking lot using the microcontroller. In addition, Putra et al [14] showed the design and development of a simulator that can represent the earthquakes using a microcontroller, the hydraulic actuator and the three-axis accelerometer.…”

Section: Introductionmentioning

confidence: 99%

Development of Vibration Measurement System using a Microcontroller

Sekine,

Hayakawa

2022

EPI-IJE

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It is important to interpret resonance in the design to reduce the vibration of mechanical structures, and to verify this resonance phenomenon by experiments and theoretical approach. When the vibration of a continuous system is observed using a vibration system, the experience and skill of the observer affect the measurement accuracy of the natural frequency and vibration modes. Therefore, in this study, a vibration measurement system is developed to stably and quantitatively verify the natural vibration of the beams using a microcontroller and an ultrasonic sensor. The vibration measurement system consists of a microcontroller, a vibration motor and an ultrasonic sensor. The accuracy and validity of the natural frequencies of the beams measured by the system are discussed, and the performance of present system is evaluated on the basis of the measurement results of the natural frequencies and the natural vibration waveforms.

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A Low Cost Vehicle Counting System Based On The Internet of Things

Cited by 8 publications

References 10 publications

A Real-Time Application for Road Conditions Detection based on the Internet of Things

A Real-Time Application for Road Conditions Detection based on the Internet of Things

Review of IoT Sensor Systems Used for Monitoring the Road Infrastructure

Development of Vibration Measurement System using a Microcontroller

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