IoT-Based Traffic Congestion Analysis: Smart Solutions for Real-Time Monitoring and Management

Shashant Ramteke

Title:
IoT-Based Traffic Congestion Analysis: Smart Solutions for Real-Time Monitoring and Management

Authors:
Shashant Ramteke

Cite This Article :

Shashant Ramteke "IoT-Based Traffic Congestion Analysis: Smart Solutions for Real-Time Monitoring and Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025, pp.243-246, URL: https://www.ijtsrd.com/papers/ijtsrd78445.pdf

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Abstract :
Traffic congestion is now a serious issue in cities, which causes longer travel times, higher fuel consumption, and emissions. The urbanization and vehicle concentration have increased the traffic bottlenecks, and conventional traffic control methods are ineffective. This work intends to identify the root causes of traffic congestion through advanced data analytics and intelligent transportation systems (ITS) in order to put forward an end-to-end congestion mitigation framework. The suggested research framework incorporates real-time data, prediction analytics, and dynamic traffic management schemes. Performance is analyzed considering crucial metrics including travel time average, flow rate of traffic, and congestion. According to the results, smart traffic control systems hugely optimize the use of roads and eliminate bottlenecks through dynamically altering the timing of traffic lights and managing the flow of vehicles in a better manner.

Keywords :
Traffic Congestion, Intelligent Transportation Systems (ITS), Data Analytics, Predictive Analysis, AI-driven Traffic Management, Urban Mobility, Real-time Traffic Control.

Publication Details:

Unique Identification Number : IJTSRD78445

Published In : Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025

Page Number(s) : 243-246

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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