5 research outputs found
An Edge Assisted Robust Smart Traffic Management and Signalling System for Guiding Emergency Vehicles During Peak Hours
Congestion in traffic is an unavoidable circumstance in many cities in India
and other countries. It is an issue of major concern. The steep rise in the
number of automobiles on the roads followed by old infrastructure, accidents,
pedestrian traffic, and traffic rule violations all add to challenging traffic
conditions. Given these poor conditions of traffic, there is a critical need
for automatically detecting and signaling systems. There are already various
technologies that are used for traffic management and signaling systems like
video analysis, infrared sensors, and wireless sensors. The main issue with
these methods is they are very costly and high maintenance is required. In this
paper, we have proposed a three-phase system that can guide emergency vehicles
and manage traffic based on the degree of congestion. In the first phase, the
system processes the captured images and calculates the Index value which is
used to discover the degree of congestion. The Index value of a particular road
depends on its width and the length up to which the camera captures images of
that road. We have to take input for the parameters (length and width) while
setting up the system. In the second phase, the system checks whether there are
any emergency vehicles present or not in any lane. In the third phase, the
whole processing and decision-making part is performed at the edge server. The
proposed model is robust and it takes into consideration adverse weather
conditions such as hazy, foggy, and windy. It works very efficiently in low
light conditions also. The edge server is a strategically placed server that
provides us with low latency and better connectivity. Using Edge technology in
this traffic management system reduces the strain on cloud servers and the
system becomes more reliable in real-time because the latency and bandwidth get
reduced due to processing at the intermediate edge server.Comment: Accepted at the Doctoral Symposium on Human Centered Computing
(Human-2023), February 25, 2023. To be published in "Springer Tracts in
Human-Centered Computing
The Need of Multidisciplinary Approaches and Engineering Tools for the Development and Implementation of the Smart City Paradigm
This paper is motivated by the concept that the successful, effective, and sustainable implementation of the smart city paradigm requires a close cooperation among researchers with different, complementary interests and, in most cases, a multidisciplinary approach. It first briefly discusses how such a multidisciplinary methodology, transversal to various disciplines such as architecture, computer science, civil engineering, electrical, electronic and telecommunication engineering, social science and behavioral science, etc., can be successfully employed for the development of suitable modeling tools and real solutions of such sociotechnical systems. Then, the paper presents some pilot projects accomplished by the authors within the framework of some major European Union (EU) and national research programs, also involving the Bologna municipality and some of the key players of the smart city industry. Each project, characterized by different and complementary approaches/modeling tools, is illustrated along with the relevant contextualization and the advancements with respect to the state of the art