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Mobile crowdsensing with energy efficiency to control road congestion in internet cloud of vehicles: a review.

Authors :
Fatima, Zaheen
Rehman, Aqeel Ur
Hussain, Rashid
Karim, Shahid
Shakir, Muhammad
Soomro, Kashif Ahmed
Laghari, Asif Ali
Source :
Multimedia Tools & Applications; May2024, Vol. 83 Issue 18, p53949-53974, 26p
Publication Year :
2024

Abstract

Traveling demand increased rapidly on the roads of big cities. Traffic congestion is observed on a regular basis and causes serious problems for citizens. It is a vital need in larger cities to deal with the problem of overcrowded roads because Traffic congestion has negative consequences on daily routines and activities. All of the factors that cause traffic-jam affect our lives physically, mentally, and economically. It has been observed that one of the factors of the traffic jam is traffic diversion. Traffic diversion reroutes all the traffic towards alternative tracks that causes traffic jams to the diverted road. It has been observed in the past that the researchers less considered traffic congestion due to traffic diversion. There is a need for analysis to determine the risk factor related to traffic diversion that impacts the causes of traffic jams. This paper focuses on proposing an architecture based on the Internet Cloud of Vehicles for traffic congestion control through the mobile crowdsensing technique. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13807501
Volume :
83
Issue :
18
Database :
Complementary Index
Journal :
Multimedia Tools & Applications
Publication Type :
Academic Journal
Accession number :
177251058
Full Text :
https://doi.org/10.1007/s11042-023-17611-z