City Research Online

Abstract

Thousands of people die on roads every day. Despite advances in technology, controlling vehicular traffic remains a challenge. Modern technologies can be very
helpful in controlling and managing traffic. In particular, the Internet of Things (IoT) and Machine Learning (ML) have created a new level of automation of services and applications, which have given rise to smart cities, smart health, smart business, and smart transportation. In this thesis, we shall provide a framework for better and comprehensive control and management of road traffic with the help of modern
technology. The proposed system has four layers, namely Application Service Layer, Cloud Computing Layer, Fog Computing Layer, and Sensing and Objects Layer. We shall provide details of these layers and associated levels.

The First level of the proposed solution addresses the issue of traffic congestion at intersections, with a proposal of a dynamic smart traffic light with the help of Image processing algorithms. The second level will deal with the surveillance of selected streets to provide information about possible hazards. The third level deals with data mining and machine learning algorithms to add information to the knowledgebase to enable better planning. The fourth level proposes several applications to assist general services like school buses, ambulance, parking, places of interest, pollution, emergency cases, etc.

Congestion often occurs during peak hours. One of the causes of increased volume of traffic in town centres and business districts is a lack of suitable carparks. In this thesis, we also provide a framework for smart parking which can be extremely helpful in preventing frantic searches for parking, which are a cause of congestion. Road users often use various services like toll tax, parking-fee services, etc. These often require users to furnish their data to the service provider, who could potentially breach their privacy. We shall discuss ways to preserve the location and ID of the users. We shall also provide a framework for assisting with emergencies like accidents. Several measures proposed in this thesis may also be used in other situations.

Publication Type:	Thesis (Doctoral)
Subjects:	T Technology > TE Highway engineering. Roads and pavements T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TL Motor vehicles. Aeronautics. Astronautics
Departments:	Doctoral Theses School of Science & Technology > School of Science & Technology Doctoral Theses School of Science & Technology > Engineering > Electrical & Electronic Engineering

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