Investigation of pedestrian collision avoidance with auto brake

R, None Avinash; J, Niresh; Kumar, Vivek; Neelakrishnan, S.

doi:10.1109/rdcape.2017.8358318

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…Investigation on the avoidance of pedestrian collisions with car brakes was carried out by Avinash. The researcher analyzed the safety system to avoid collisions between vehicles and pedestrians using warning signals and automatic braking of vehicles [13]. The Internet of Things (IoT) to measure and monitor sensor data for surface water platforms was studied by Kafli [14].…”

Section: Introductionmentioning

confidence: 99%

Design Of An Automatic Bell Warning System For Prayer Times In A Net Centric Computing Lab

Juhariansyah

Ritzkal

Hendrawan

2020

jrc

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The development of science and technology has been increasing rapidly, providing convenience in everyday life. Various household appliances and office work tools use electronic devices to ease the works, including bell warning systems for prayer times. The system notifies the people when the times for prayer comes. The warning systems used presently have not operated automatically. The research aimed to design and implement a series of automatic warning bell system for prayer times, that sent a notification to the telegram. It used Arduino Mega 2560 as the data processor. The result found that the tool, equipped with an RTC, a Dfplayer, a loud-speaker, and an Ethernet Shield, worked satisfactorily by sending a notification to the Telegram.

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Section: Introductionmentioning

confidence: 99%

Design Of An Automatic Bell Warning System For Prayer Times In A Net Centric Computing Lab

Juhariansyah

Ritzkal

Hendrawan

2020

jrc

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“…The sensor was processed by a microcontroller. The data processed by the microcontroller were then released to activate the Selenoid relay moving the brake to stop the car or motorbike [5]. A pedestrian flow calculated by using image processing was examined by Madhira.…”

Section: Introductionmentioning

confidence: 99%

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

Hardiyanto¹,

Iswanto²,

Sartika³

et al. 2019

IJACSA

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Pedestrians are one of the street users who have the right to get priority on security. Highway users such as vehicle drivers sometimes violate the traffic lights that is endanger pedestrians and make pedestrians feel insecure when crossing the street. Based on this problem, a tool is designed to provide a warning for the drivers or riders violating the traffic lights and prevent traffic accident by spraying water. The system is able to detect traffic violation based on changes in the value of the vehicle position on the stop line obtained from the Ultrasonic HC-SR04 sensor. When a violation is detected, a decision tree algorithm turns on the pump to spray water to the traffic violators as a deterrent effect. The results show that the vehicle located closest to the sensor has 94% precision, 88% recall and 85% accuracy, the vehicle located in the middle has 73% precision, 100% recall, and 75% accuracy, and the vehicle located furthest to the sensor has 75% precision, 100% recall and 80% accuracy.

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