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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM52788

Traffic Management-A Review Paper

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM52788

Volume:

9 |

9 |

Sep 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

RS

Rohan S.Shende

PS

Purvesh S.Shingane

GS

Ganashri S.Hingankar

PPG

Parth P Gaikwad

HB

Harshvardhan Bawane

PC

Prof C.A.Chitkeshwar

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Abstract

In recent decades the number of vehicles on the world’s roads has continued to increase. However, road capacity does not develop at the same rate, which generates a considerably increased congestion rate. To minimize this difficult problem, the researchers opted for intelligent and efficient use of existing infrastructure through adaptive traffic management. The various recent proposed approaches have been based on new technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and Big Data. In this paper a global vision on various road traffic management solutions proposed in the literature is introduced, a classification and an evaluation of these road traffic management solutions are proposed. In particular, we start by presenting routing mechanisms, then solutions that are based on the use of traffic lights, then approaches that aim to manage network traffic. We discuss these solutions thereafter. Finally, we present new directions for future research on urban road traffic management.

KEYWORDS

Smart cities Traffic management Intelligent Transportation Systems Artificial intelligence Internet of Things

Cite This Article

Rohan S.Shende, Purvesh S.Shingane, Ganashri S.Hingankar, Parth P Gaikwad, Harshvardhan Bawane, Prof C.A.Chitkeshwar, "Traffic Management-A Review Paper," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 9, Sep 2025.

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Publication Date

9/27/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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The authors declare no conflict of interest related to this research work.

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