TY - JOUR
T1 - ITSS
T2 - An Intelligent Traffic Signaling System Based on an IoT Infrastructure
AU - Rai, Satyananda Champati
AU - Nayak, Samaleswari Pr
AU - Acharya, Biswaranjan
AU - Gerogiannis, Vassilis C.
AU - Kanavos, Andreas
AU - Panagiotakopoulos, Theodor
N1 - Funding Information:
This research work is supported by the All India Council for Technical Education under Research Promotion Scheme reference no: 8-123/RIFD/RPS/POLICY-3/2013-14. The paper also received funding from the research project CRISIS, “Competences for Resilient Smart Cities’ Staff” (Project No.: 2021-1-EL01-KA220-HED-000032257, Erasmus+ KA2).
Publisher Copyright:
© 2023 by the authors.
PY - 2023/3
Y1 - 2023/3
N2 - Recently, there has been a huge spike in the number of automobiles in the urban areas of many countries, particularly in India. The number of vehicles are increasing rapidly and with the existing infrastructure, the traffic systems stand still during peak hours. Some of the main challenges for traffic management are the movement of overloaded vehicles beyond their restricted zone and time, reckless driving, and overlooking road safety rules. This paper proposes an Internet of Things (IoT)-based real-time Intelligent Traffic Signal System (ITSS), which consists of inductive loops and a programmable micro-controller to determine traffic density. Inter-communication in the centralized control unit sets the timer of the traffic light and synchronizes with the traffic density in real-time for smooth mobility of vehicles with less delay. Additionally, to prioritize emergency vehicles over other vehicles in the same lane, a pre-emption mechanism has been integrated through infrared sensors. The result of traffic density determines the timer of the light post in real-time, which in result enhances the smooth flow of vehicles with reduced delay for travelers. Using its automatic on-demand traffic signaling system, the presented solution has advantages over fixed systems.
AB - Recently, there has been a huge spike in the number of automobiles in the urban areas of many countries, particularly in India. The number of vehicles are increasing rapidly and with the existing infrastructure, the traffic systems stand still during peak hours. Some of the main challenges for traffic management are the movement of overloaded vehicles beyond their restricted zone and time, reckless driving, and overlooking road safety rules. This paper proposes an Internet of Things (IoT)-based real-time Intelligent Traffic Signal System (ITSS), which consists of inductive loops and a programmable micro-controller to determine traffic density. Inter-communication in the centralized control unit sets the timer of the traffic light and synchronizes with the traffic density in real-time for smooth mobility of vehicles with less delay. Additionally, to prioritize emergency vehicles over other vehicles in the same lane, a pre-emption mechanism has been integrated through infrared sensors. The result of traffic density determines the timer of the light post in real-time, which in result enhances the smooth flow of vehicles with reduced delay for travelers. Using its automatic on-demand traffic signaling system, the presented solution has advantages over fixed systems.
KW - inductive loop
KW - intelligent traffic
KW - intelligent traffic signaling system (ITSS)
KW - Internet of Things
KW - Netconvert
KW - simulation of urban mobility (SUMO)
UR - http://www.scopus.com/inward/record.url?scp=85149952134&partnerID=8YFLogxK
U2 - 10.3390/electronics12051177
DO - 10.3390/electronics12051177
M3 - Article
AN - SCOPUS:85149952134
SN - 2079-9292
VL - 12
JO - Electronics (Switzerland)
JF - Electronics (Switzerland)
IS - 5
M1 - 1177
ER -