期刊名称：International Journal of Computer Information Systems and Industrial Management Applications
印刷版ISSN：2150-7988
电子版ISSN：2150-7988
出版年度：2019
卷号：11
页码：101-114
出版社：Machine Intelligence Research Labs (MIR Labs)
摘要：Road hazards can cause dangerous accidents which
lead to serious effects on human safety, destruction of vehicles
and traffic flow disorder. Therefore, numerous systems based on
Vehicular Ad hoc Networks (VANET) have been proposed to
prevent this kind of accidents and enhance road users’ safety.
Nevertheless, these systems suffer from some problems, which
can reduce their performance. For example, some of the
proposed systems are autonomous; they do not exploit VANET to
cooperate. In addition, as these systems offer more and more
features, they treat a large amount of data, but without storage in
a database. This can lead to the problems of congestion or loss of
data. Therefore, we propose in this paper a new system, entitled
Cooperative Road Hazard Detection Persistent System
(CopRoadHazDPS). This system is based on the use of (i)
Vehicle-To-Vehicle (V2V) and Vehicle-To-Infrastructure (V2I)
communications to promote cooperation between vehicles,
infrastructures and the Control Center, and (ii) Real-Time
DataBases (RTDB) to manage data in real-time, effectively and
accurately. It ensures the road safety in the case of unpredictable
and predictable road hazards. Once a vehicle or the Control
Center identifies a road hazard, its Road Manager cooperates
with the other components to analyze the situation and decides
about the convenient actions to avoid accidents. Simulations of
several driving scenarios in varied type of roads, within the
Vehicles In Network Simulation (VEINS) framework, confirm
that CopRoadHazDPS ensures safety and reduces data freshness
transactions thanks to the concept of the Quality of Data.
