Intelligent traffic attrition

Intelligent traffic attrition

Registration ID: IJNRD_207733

Published ID: IJNRD2311009

DOI: Click Here to Get

J stanes jenson , Sibin S , S Guruaravind , M Sanjaay Thomas

Ardunio, IR, sensor, PIR sensor, Node MCU ESP8622,Embedded C, Blynk Appilcation, traffic attrition

Shrewd activity administration frameworks play a urgent part in tending to the ever-growing challenges of urban clog and street security. This unique investigates the concept of keen activity fascination, a novel approach pointed at optimizing activity stream and upgrading by and large transportation effectiveness. Leveraging progressed innovations such as fake insights, Web of Things (IoT), and information analytics, savvy activity fascination centers on powerfully overseeing activity in real-time to play down delays, diminish outflows, and move forward the generally quality of urban life. By joining information from different sources, counting sensors inserted in street framework, GPS enabled vehicles, and climate estimates, these frameworks can anticipate activity designs, distinguish bottlenecks, and proactively occupy vehicles through elective courses. In addition, through the usage of versatile activity signals and energetic estimating components, shrewd activity fascination can incentivize commuters to select off-peak travel times or elective transportation modes, subsequently decreasing the strain on street systems amid top hours. Moreover, it empowers effective open transportation frameworks, pedestrian-friendly framework, and improved street security measures, coming about in a more economical and bearable urban environment. As cities proceed to develop, the selection of savvy activity fascination guarantees to revolutionize urban versatility, cultivating a consistent, proficient, and eco-friendly transportation environment that meets the advancing needs of cutting edge society.

Published Paper   E-Certificate

"Intelligent traffic attrition", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 11, page no.a76-a80, November-2023, Available :https://ijnrd.org/papers/IJNRD2311009.pdf

Volume 8 Issue 11, November-2023

Pages : a76-a80

Paper Reg. ID: IJNRD_207733

Published Paper Id: IJNRD2311009

Downloads: 000121131

Research Area: Computer Science & Technology 

Country: coimbatore, tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2311009.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311009

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

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

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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

Call For Paper - Volume 10 | Issue 8 | August 2025

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