Paper Info
Title
Dynamic traffic congestion pricing and electric vehicle charging management system for the internet of vehicles in smart cities
Abstract
The integration of the Internet of Vehicles (IoV) in future smart cities could help solve many traffic-related challenges, such as reducing traffic congestion and traffic accidents. Various congestion pricing and electric vehicle charging policies have been introduced in recent years. Nonetheless, the majority of these schemes emphasize penalizing the vehicles that opt to take the congested roads or charge in the crowded charging station and do not reward the vehicles that cooperate with the traffic management system. In this paper, we propose a novel dynamic traffic congestion pricing and electric vehicle charging management system for the internet of vehicles in an urban smart city environment. The proposed system rewards the drivers that opt to take alternative congested-free ways and congested-free charging stations. We propose a token management system that serves as a virtual currency, where the vehicles earn these tokens if they take alternative non-congested ways and charging stations and use the tokens to pay for the charging fees. The proposed system is designed for Vehicular Ad-hoc Networks (VANETs) in the context of a smart city environment without the need to set up any expensive toll collection stations. Through large-scale traffic simulation in different smart city scenarios, it is proved that the system can reduce the traffic congestion and the total charging time a the charging stations.
Year
DOI
Venue
2021
10.1016/j.dcan.2021.01.002
DIGITAL COMMUNICATIONS AND NETWORKS
Keywords
DocType
Volume
IoV, EV, VANET, Smart city, Congestion pricing, Congestion avoidance, EV charging, Traffic optimization
Journal
7
Issue
ISSN
Citations 
4
2468-5925
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Nyothiri Aung1243.10
Weidong Zhang273.64
Kashif Sultan300.34
Sahraoui Dhelim4627.20
Yibo Ai594.29