| dc.description.abstract | Traffic Congestion and traffic monitoring is one of the important problems all over the
world. A significant amount of research work carried out on traffic management systems,
but intelligent traffic monitoring is still an active research topic due to the emerging
technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI). The
integration of these technologies will facilitate the techniques for better decision making
and achieve urban growth. However, the existing traffic prediction methods mostly
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dedicated to highway and urban traffic management, and limited studies focused on
collector roads and closed campuses. Besides, reaching out to the public, and establishing
active connections to assist them in decision-making is challenging when the users are not
equipped with any smart devices. This research proposes an IoT based system model to
collect, process, and store real-time traffic data for such a scenario. The objective is to
provide real-time traffic updates on traffic congestion and unusual traffic incidents through
roadside message units and thereby improve mobility. These early-warning messages will
help citizens to save their time, especially during peak hours. The Arduino platform is the
microcontroller preference for this idea. Also, to make this idea more effective and
productive, a Light Emitting Diode (LED) advertising displays has been incorporated into
its implementation to take advantage of the red light wait time to disseminate useful
information or facts. This proposed system is cost-effective, very simple to install and easy
to maintain. | en_US |
