Traffic signal optimisation and control using deep learning framework deployed over cloud for connected Traffic Management

Dilliraj Saraswathy, Jatin Nikhil (2024) Traffic signal optimisation and control using deep learning framework deployed over cloud for connected Traffic Management. Masters thesis, Dublin, National College of Ireland.

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Abstract

ITOS (Intelligent Traffic Optimization System) is a key component of effective communication and transport systems. This research presents an effective ITOS. that incorporates high technology such as deep learning and optimization methods odds to improve the traffic density, congestion, and negativity on the environment amongst the growing urban traffic. Innovation is placed on the need to give a robust weather transitioning and computationally optimized framework that implements different architectures of urban and environmental settings. ITOS enhances traffic. flow by applying real-time data analysis, predictive computer simulation tools, and real-time adaptive signal control. The mAP score of YOLOv11 has improved more. 200.7 to 1.0 for different kinds of vehicles that can be identified on the roads. The The YOLOv11 model performs better and has been used for the vehicle count along with STL-ARIMA for future vehicle prediction. This project is to create smart, when and where management technology in order to create the basis for smarter, safer, and environmentally sustainable cities.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Sahni, Vikas UNSPECIFIED
Uncontrolled Keywords:	YOLO models; ITMS; time series; congestion; traffic signal Green Light Optimization
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > HT Communities. Classes. Races > Urban Sociology > City Planning T Technology > T Technology (General) > Information Technology > Cloud computing
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Ciara O'Brien
Date Deposited:	15 Jul 2025 08:31
Last Modified:	15 Jul 2025 08:31
URI:	https://norma.ncirl.ie/id/eprint/8096

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