ITSS: An Intelligent Traffic Signaling System Based on an IoT Infrastructure

Author:

Rai Satyananda Champati1,Nayak Samaleswari Pr1,Acharya Biswaranjan2ORCID,Gerogiannis Vassilis C.3ORCID,Kanavos Andreas45ORCID,Panagiotakopoulos Theodor56ORCID

Affiliation:

1. Department of Computer Science and Engineering, Silicon Institute of Technology, Bhubaneswar 751024, Odisha, India

2. Department of Computer Engineering-AI, Marwadi University, Rajkot 360003, Gujarat, India

3. Department of Digital Systems, University of Thessaly, 41500 Larissa, Greece

4. Department of Informatics, Ionian University, 49100 Corfu, Greece

5. School of Science and Technology, Hellenic Open University, 26335 Patras, Greece

6. School of Business, University of Nicosia, 2417 Nicosia, Cyprus

Abstract

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.

Funder

All India Council for Technical Education

CRISIS

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference35 articles.

1. The Times of India (2022, November 11). 53,700 Vehicles Registered Across Country Every Day. Available online: https://timesofindia.indiatimes.com/auto/miscellaneous/53700-vehicles-registered-across-country-every-day/articleshow/53747821.cms.

2. Traffic Congestion and its Urban Scale Factors: Empirical Evidence from American Urban Areas;Rahman;Int. J. Sustain. Transp.,2022

3. Afrin, T., and Yodo, N. (2020). A Survey of Road Traffic Congestion Measures towards a Sustainable and Resilient Transportation System. Sustainability, 12.

4. Confronting Congestion in Urban Areas: Developing Sustainable Mobility Plans for Public and Private Organizations in Bogotá;Guzman;Transp. Res. Part A Policy Pract.,2020

5. IoT based Smart Traffic Signal Monitoring System using Vehicles Counts;Janahan;Int. J. Eng. Technol.,2018

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