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

Fatima, Zaheen; Rehman, Aqeel Ur; Hussain, Rashid; Karim, Shahid; Shakir, Muhammad; Soomro, Kashif Ahmed; Laghari, Asif Ali

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.

TRAFFIC congestion; CROWDSENSING; ENERGY consumption; TRAFFIC engineering; INTERNET; CITIES & towns; WIRELESS Internet

Multimedia Tools & Applications, 2024, Vol 83, Issue 18, p53949

1380-7501

Academic Journal

10.1007/s11042-023-17611-z