Pedestrian Crossing Safety System at Traffic Lights based on Decision Tree Algorithm

Hardiyanto, Denny; Iswanto, Iswanto; Sartika, Dyah Anggun; Rojali, Muamar

doi:10.14569/ijacsa.2019.0100850

Cited by 9 publications

(4 citation statements)

References 23 publications

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“…Considering the time and quantity of pedestrians crossing the road, an appropriate signal will be displayed, focusing on various parameters of well-being. Hardiyanto et al [17] proposed a system that detects the violation of the traffic lights to prevent accidents by spraying water. The author has utilized a decision tree-based method to detect the violation that triggers the water spray depending on the decision made through ultrasonic sensors.…”

Section: Methodsmentioning

confidence: 99%

A Novel Architecture for the Smart Pedestrian Crossing in Cities Using IoT‐Based Approach

Bhardwaj,

Singh,

Tyagi

et al. 2023

Mathematical Problems in Engineering

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Pedestrian crossings have also been highlighted as one of the most dangerous locations in the transportation field. Because people and vehicles share the road, a crosswalk improves the road’s efficiency in a densely populated region. However, as the population grows, more accidents and serious injuries occur, and as a result, nationalities are attempting to reduce these incidents through marketing and legal fines. Various architectures and developmental models have been proposed by authors focusing on the safeguarding of pedestrians crossing the intersections and vehicles passing by. Few proposed machine learning and deep learning-based solutions to the pedestrian lanes; others provided an Internet of Things- (IoT-) based solution to the situation. Various challenges are left unresolved, such as evidence recording, image capturing, and recognition in case of an emergency. In the proposed scenario, an IoT-based technology is utilized to assist the vehicles passing by to act over the signals depicted as a red light focusing on a real-time architecture. The proposed system will be mounted along the roadside at the traffic light pole. The system comprises various refined quality components, such as a gesture control module, High Definition camera module, etc. Based on the decision drawn from the gesture module, a specific signal will be displayed with the help of a traffic light to assist the vehicles passing by to safeguard the people crossing the proposed smart pedestrian crossing.

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Section: Methodsmentioning

confidence: 99%

A Novel Architecture for the Smart Pedestrian Crossing in Cities Using IoT‐Based Approach

Bhardwaj,

Singh,

Tyagi

et al. 2023

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…The hardware installed in the field consists of a PCB assembled for the gas sensors, weather station shield, DC/DC step down converter, and the Nodemcu ESP32 development kit C as microcontroller board [29]- [34]. several researchers have also developed various automation systems using various microcontroller boards [35]- [42]. Figure 2 shows the connections between the components used in this field system.…”

Section: Hardware Designmentioning

confidence: 99%

Real-time monitoring system for weather and air pollutant measurement with HTML-based UI application

et al. 2021

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This article discusses devising an IoT system to monitor weather parameters and gas pollutants in the air along with anHTML web-based application. Weather parameters measured include; speed and direction of the wind, rainfall, air temperature and humidity, barometric pressure, and UV index. On the other side, the gases measured are; ammonia, hydrogen, methane, ozone, carbon monoxide, and carbon dioxide. This article is introducing a technique to send all parameter data. All parameters read by each sensor are converted into a string then joined into a string dataset, where this dataset is sent to the server periodically. On the UI side, the dataset that has been downloaded from the server-parsed for processing and then displayed. This system uses Google Firebase as a real-time database server for sensor data. Also, using the GitHub platform as a web hosting. The web application uses the HTML programming platform. The results of this study indicate that the device operates successfully to provide information about the weather and gases condition as real-time data.

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“…Raspberry Pi functions as a System on Chip (SoC), which in this device functions to process the signal processing from ADS1115. Raspberry Pi also functions as a GUI so that the temperature readings from the calibrator can be displayed on monitor [24].…”

Section: Fig 1 Device Block Diagrammentioning

confidence: 99%

Calibrator for Temperature Measurement Device with Raspberry Pi-Based Interface

Iswanto¹,

Megantoro²,

Senzas³

2019

IJITEE

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Abstract The article discuss about designing a Raspberry Pi 3-Based OHP Temperature Calibrator. This device used to callibrate temperature measurement device with GUI-based (Graphic User Interface). The device has been programmed on Raspberry Pi 3 with Python programming language. sensors are 11.68 mV /Â°C, 12.34 mV /Â°C, 11.24 mV /Â° C, and 11.50 mV /Â° C. The correlations and linearity of all sensors are more than 97% also. And the response of time of the four sensors to the heat source are 1.61 Â°C/s, 1.13Â°C/s, 1.17 Â° C / s, 1.00 Â°C/s. the uncertainties for sensor 1 are (132 Â± 0.7)Â°C, sensor 2 (132 Â± 0.6)Â°C, sensor 3 (132 Â± 0.7)Â°C, and sensor 4 (132 Â± 0.7)Â°C. Based on the research, it can be concluded that Raspberry Pi based temperature calibrator instrument has a good accuracy level, and the effective temperature for calibration is at maximum temperature, that is 132Â°C. This research was done by and recycled over head projector (OHP), designing and conducting sensory characterization analysis and uncertainty analysis on temperature calibrator. The method used in this research is heuristic method, where this method is used in sensor characterization analysis. After the characterization done, obtaining the specifications of each sensor, temperature calibrator instrument then tested to determine the amount of uncertainty of the instrument that has been designed. The result of the homogeneity for fifth test points are 6 Â°C, 5 Â°C, 5 Â°C, 8 Â°C, and 16 Â°C. The results of the sensor characterization test show that the accuracy and precision of all sensors are more than 99%. The sensitivity values for the four

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Pedestrian Crossing Safety System at Traffic Lights based on Decision Tree Algorithm

Cited by 9 publications

References 23 publications

A Novel Architecture for the Smart Pedestrian Crossing in Cities Using IoT‐Based Approach

A Novel Architecture for the Smart Pedestrian Crossing in Cities Using IoT‐Based Approach

Real-time monitoring system for weather and air pollutant measurement with HTML-based UI application

Calibrator for Temperature Measurement Device with Raspberry Pi-Based Interface

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