International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 05 | May 2023
p-ISSN: 2395-0072
www.irjet.net
SMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOT P. Arul Mozhi1, M. Curie2, S.Jeevitha3, J.Gerija Shree4, S.Devaki5 1 Assistant Professor, Dept. of Electronics and communication Engineering, Vivekanandha college of Technology
For women, Tamil Nadu, India
2Dept. of Electronics and communication Engineering, Vivekanandha college of Technology For women, Tamil
Nadu, India
3 Dept. of Electronics and communication Engineering, Vivekanandha college of Technology For women, Tamil
Nadu, India 4 Dept. of Electronics and communication Engineering, Vivekanandha college of Technology For women, Tamil
Nadu, India
5 Dept. of Electronics and communication Engineering, Vivekanandha college of Technology For women, Tamil
Nadu, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The issue of heavy traffic jams in urban areas is
algorithms to determine the traffic density. The information is then displayed on an LCD screen located at the roadside. The system is also connected to the cloud to store and analyze data for future use. IoT is employed in practically every industry, and it will be crucial in traffic control. Sensors and cloud services are used in IOT deployment. However, using all of the sensors will be more expensive financially. Due to the fact that camera sensors will serve as the equivalent of all other sensors, we have chosen not to use all of the available sensors in this project. Installed in traffic zones and on highways are camera sensors that use image processing to detect any changes in the state of the road and transfer that information to the cloud, where it is used to send warning signals to LCD screens located at specific distances.
becoming increasingly prevalent as more vehicles hit the roads. Smart solutions using IoT have been proposed to alleviate the problem. This research proposes a smart solution using camera sensors, Raspberry Pi, an LCD display, and cloud technology to reduce heavy traffic jams. The system uses camera sensors to detect traffic density and transmits data to a Raspberry Pi. The Raspberry Pi processes the data and displays the information on an LCD screen. The system is also connected to the cloud to store and analyze data for future use. The results show that the proposed system can accurately detect traffic density and provide real-time traffic updates, which can help to reduce traffic congestion. Key Words: IoT, traffic jam, camera sensors, Raspberry Pi, LCD display, cloud technology.
1.2 System needed
1. INTRODUCTION
Camera sensors are used to capture images of the road, and the images are processed to detect the number of vehicles on the road. The camera sensors can be installed at strategic locations such as intersections, highways, and toll booths. The camera sensors capture images of the road and send the data to the Raspberry Pi for processing. The Raspberry Pi processes the data using image processing algorithms to determine the number of vehicles on the road. The information is then displayed on an LCD screen located at the roadside.
Traffic congestion is a serious problem that affects many urban areas around the world. The increase in the number of vehicles on the road has led to a significant increase in traffic congestion. Heavy traffic jams cause inconvenience to road users and result in economic losses due to delays in transportation. Therefore, finding a smart solution that can alleviate traffic congestion is of paramount importance. In recent years, Internet of Things (IoT) technology has been proposed as a way to reduce traffic congestion. This research proposes a smart solution using camera sensors, Raspberry Pi, an LCD display, and cloud technology to reduce heavy traffic jams.
1.1 Methodology The proposed system uses camera sensors placed at strategic locations to detect traffic density. The sensors capture images of the road and transmit data to a Raspberry Pi. The Raspberry Pi is a single-board computer that is capable of processing data and executing programs. The Raspberry Pi processes the data using image processing
© 2023, IRJET
|
Impact Factor value: 8.226
Fig -1: Raspberry Pi with 8 GB Ram
|
ISO 9001:2008 Certified Journal
|
Page 203