Review Paper On Accident Detection And Traffic Regulation Using Image Processing

Registration ID: IJNRD_181388

Published ID: IJNRD2206030

DOI: Click Here to Get

Mane Rutuja Vijaykumar , Prof. Mr. P. B. Ghewari

ACCIDENT DETECTION, VEHICLE COLLISION AVOIDANCE,IMAGE PROCESSING.

In cities, where the number of vehicles continuously increases faster than the available traffic infrastructure to support them, congestion is a difficult issue to deal with and it becomes even worse in case of car accidents. This problem affects many aspects of the modern society, including economic development, traffic accidents, increase in greenhouse emissions, time spent, and health damages. In this context, modern societies can rely on traffic management system to minimize traffic congestion and its negative effects. Traffic management systems are composed of a set of application and management tools to improve the overall traffic efficiency and safety of the transportation systems. Furthermore, to overcome such issue, traffic management system gathers information from heterogeneous sources, exploits such information to identify hazards that may potentially degrade the traffic efficiency, and then provides services to control them

Published Paper   E-Certificate

Mane Rutuja Vijaykumar & Prof. Mr. P. B. Ghewari (June-2022). Review Paper On Accident Detection And Traffic Regulation Using Image Processing. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(6), 284-287. https://ijnrd.org/papers/IJNRD2206030.pdf

Volume 7 Issue 6, June-2022

Pages : 284-287

Paper Reg. ID: IJNRD_181388

Published Paper Id: IJNRD2206030

Downloads: 000121981

Research Area: Electronics & Communication Engg. 

Country: KOLHAPUR, MAHARASHTRA, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2206030.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2206030

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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Call For Paper - Volume 10 | Issue 10 | October 2025

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Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

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