Reduce waiting time of vehicles based on number count of vehicles in traffic

Reduce waiting time of vehicles based on number count of vehicles in traffic

Registration ID: IJNRD_198009

Published ID: IJNRD2306074

DOI: Click Here to Get

Trapti singh , Vaibhav Jaiswal , Prateek Jaiswal

Machine learning,AI,Camera,Sensors, Traffic lights

The control of traffic signals is one of the most difficult issues right now. In such circumstances, every light is given 60 seconds of road time at regular intervals, even when there is considerable traffic on the particular road. The TMS (Traffic Monitoring Signal) timing was created using a range of IOT hardware features in accordance with the previously recommended methodology. Utilising the IOT platform, different lengths of time are efficiently allotted to each traffic light depending on the quantity of vehicles on the route. A new problem that prohibits TMS from accomplishing its objective surfaced during TMS installation. The possibility that the signal with the fewest vehicles will open and repeat frequently increases when the signal. The signal with the most vehicles will probably wait for more than 60 seconds before opening and repeating while the signal with the fewest vehicles does so. To solve this issue, we employ IOT-based methodologies and technology. The technology's main benefit is that it can reduce the amount of time that cars have to wait before passing a signal. To evaluate the efficacy of the new proposed model, traffic networks and real-time traffic sub-networks are organised as case studies for this system

Published Paper   E-Certificate

"Reduce waiting time of vehicles based on number count of vehicles in traffic", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 6, page no.a624-a630, June-2023, Available :https://ijnrd.org/papers/IJNRD2306074.pdf

Volume 8 Issue 6, June-2023

Pages : a624-a630

Paper Reg. ID: IJNRD_198009

Published Paper Id: IJNRD2306074

Downloads: 000121170

Research Area: Master of Computer Application 

Country: Greater Noida , Uttar Pradesh , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2306074.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2306074

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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