Paper Info
Title
A Fuzzy-Based Simulation System for Driving Risk Management in VANETs Considering Weather Condition as a New Parameter.
Abstract
In this paper, we propose an intelligent Fuzzy-based Simulation System for Driver Risk Management in Vehicular Ad hoc Networks (VANETs). The proposed system considers Vehicle’s Environment Condition (VEC), Weather Condition (WC), Vehicle Speed (VS) and Driver’s Health Condition (DHC) to assess the risk level. The input parameters’ data can come from different sources, such as on board and on road sensors, sensors in the infrastructure and communications. Based on the system’s output i.e., risk level, a smart box informs the driver and provides assistance. We show through simulations the effect of the considered parameters on the determination of the risk level and demonstrate a few actions that can be performed accordingly.
Year
DOI
Venue
2020
10.1007/978-3-030-50399-4_3
IMIS
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Kevin Bylykbashi136.44
Ermioni Qafzezi228.13
Makoto Ikeda31202207.10
Keita Matsuo421255.01
Leonard Barolli52178333.62
Makoto Takizawa63180440.50