@article{MAKHILLAJIT20171666661,
    title = {Design and Simulation of an Intelligent Emergency System
Based on Routing Protocol},
    journal = {Asian Journal of Information Technology},
    volume = {16},
    number = {6},
    pages = {465-471},
    year = {2017},
    issn = {1682-3915},
    doi = {ajit.2017.465.471},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2017.465.471},
    author = {Mohammed and},
    keywords = {Self-organizing maps,Elman neural network,vehicular ad hoc networks,intelligent,emergency system,security},
    abstract = {Vehicular Ad hoc Network (VANET) is a promising technology for future smart vehicle systems and
an essential component of Intelligent Transportation Systems (ITSs). ITS includes a wide range of modern
technologies such as Global Positioning System (GPS), digital maps, video cameras, sensing devices and the
wireless communication devices. It provides necessary information about the condition of the roads in time for
drivers and traffic management systems to improve traffic efficiency, reduce traffic congestion, waiting times
and fuel consumptions. In this study, we design an Intelligent Emergency System ( IES) for the VANETs using
self-organizing maps and Elman neural network. The IES automatically controls the traffic lights according to
the priority associated with the Cooperative Awareness Messages (CAMs) exchanged between emergency
vehicles and RSUs. The CAMs sent from the emergency vehicles to RSUs be encrypted using a hash function
to distinguish them from normal messages issued from other vehicles. The IESs use the features extracted from
the trace file that describes the normal and urgent behavior in the VANETs. The type and the number of
features have an important role in increasing the classification rate and decreasing false alarms in the proposed
emergency system.}
    }