International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 06 | Jun 2022
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p-ISSN: 2395-0072
Smart Traffic Monitoring System based on vehicle counts. Geethika Boddu1, Viswasri Ankamreddi 2, Narsipuram Shyamkumar 3, Yogesh Kumar 4 Student & NIELIT ‘B', NIELIT, Aurangabad (Maharashtra), INDIA ---------------------------------------------------------------------***--------------------------------------------------------------------human beings are under pressure to spend hours with site Abstract 4Scientist
1,2,3B-Tech
visitors and waste valuable time commuting. cutting-edge web page traffic mild controllers use tough, speedy timers and do not adapt to real-time site visitors on the road. to alleviate traffic congestion, we have advanced an advanced traveler management tool that could autonomously adapt to the vacationer's scenario on Traffic symptoms within the shape of a computer imaginative and prescient-primarily based traffic mild controller.
The traffic Management system is the keystone of a smart city. If the number of vehicles that are to be passed through a crowded junction can be pre-estimated in time, traffic blockage can be managed effectively. In this paper, a method is demonstrated to control the traffic signals based on the count of automobiles and pedestrians. The data from both these systems are given to the Node MCU board. The proposed method presents a framework, which will optimize the timing interval of the traffic signal purely depending on the number of vehicles on that particular roadside. The number of vehicles passing through an area well before the preferred traffic junction can be estimated using the help of image processing techniques. Further, the monitoring information can be shared to a distant controlling center situated anywhere in the city via internet usage. The decrease in waiting time for drivers to cross signal will be the major advantage of this proposed system. In this model, we are using OpenCV for image processing and vehicle detection. The input of these systems is vehicles counts on each side of the road from the crossing signal and this input will be determined by how much time is to be provided.
1.1 Existing System: In India the existing traffic system is for each red signal 60 seconds will be given, whether the traffic on that particular road is heavy or light, with this the wastage of time will be high and traffic in other lanes will be increasing. 1.2 Proposed System: The main objective of the project is to design a traffic light system based on the vehicle counts in that current traffic situation. Here the proposed system takes the live streaming from public surveillance cameras at traffic junctions and detecting the vehicles at the signal sets the green signal time.
Key Words: Traffic Management System (TMS), Open CV,
Here vehicles will be classified such as cars, bikes, buses/trucks, and rickshaws to obtain a more accurate estimate of the green signal time.
Node MCU, Image Processing, Vehicle Detection.
1. INTRODUCTION
Our proposed system will pass the live streaming from public surveillance cameras from the traffic junctions. In the cloud, the algorithm will process the live cam feed and every frame from the live is processed and will go through the Open CV filters and detects the contours and movements of objects on the lane (road) in the feed and considers and distinguishes it as vehicles, animals and human beings which are taken into account and density of the traffic is defined and the magnitude of the instantaneous density and increment in density is sent to the on-board vehicle manager and vehicles traffic management algorithm will decide which lane traffic light will glow first and for how much of the time will be needed to that particular lane and update the red signal times of the other signals.
Traffic Congestion is an excessive and conspicuous hassle, properly controlled via the use of website online traffic alerts, and a dependable way to perform intersections inside the everyday website visitors worldwide. numerous breathing troubles such as bronchial asthma and bronchitis due to exposure to avenue dust and automobile emissions. in addition, traffic police and pedestrians are at multiplied risk of lung maximum cancers because of publicity to air pollutants that WHO has classified as carcinogenic. Many troubles arise due to the normal individual timer. They repeat the identical segment series and no longer use the shopping for and promoting duration. similarly, the longprepared time of the car in the usage of mode ends in inefficient gas consumption and multiplied environmental pollution. India is many of the 10 countries with the maximum web page traffic congestion. Mumbai, Bangalore, New Delhi.
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