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Smart Transportation Systems for Sustainable Urban Mobility"

 

Table Of Contents


<p> </p><p>1.1 Background and Rationale 1.2 Research Objectives 1.3 Scope and Significance 1.4 Research Questions 1.5 Methodology Overview 1.6 Organization of the Thesis</p><h5>

Chapter 2

: Literature Review</h5><p>2.1 Evolution of Urban Transportation Systems 2.2 Key Components of Smart Transportation Systems 2.3 Applications of ITS and Data Analytics in Urban Mobility 2.4 Previous Studies on Smart Transportation Integration 2.5 Gaps in Existing Research 2.6 Conceptual Framework</p><h5>

Chapter 3

: Methodology</h5><p>3.1 Data Collection 3.1.1 Traffic Flow and Transportation Data 3.1.2 Application of ITS and IoT Devices 3.2 Modeling and Simulation Techniques 3.2.1 Traffic Flow Modeling and Optimization 3.2.2 GIS-Based Spatial Analysis for Transportation Planning 3.3 Assessment of Environmental Impact and Sustainability 3.4 Stakeholder Engagement and User Satisfaction 3.5 Technological Challenges and Opportunities 3.6 Limitations and Assumptions</p><h5>

Chapter 4

: Results and Discussion</h5><p>4.1 Analysis of Traffic Flow Optimization Using ITS 4.2 Evaluation of Environmental Impacts and Sustainability 4.3 User Satisfaction and Stakeholder Perspectives 4.4 Comparative Assessment of Smart Transportation Systems 4.5 Case Studies: Successful Implementation of Urban Mobility Solutions 4.6 Implications for Sustainable Urban Transportation Planning</p><h5>

Chapter 5

: Conclusion and Recommendations</h5><p>5.1 Summary of Findings 5.2 Contributions to Existing Knowledge 5.3 Practical Implications for Smart Transportation Implementation 5.4 Recommendations for Future Research 5.5 Conclusion</p> &nbsp;<p></p>

Thesis Abstract

<p> This research explores the integration of smart transportation systems to enhance sustainable urban mobility. Utilizing a multidisciplinary approach, the study examines the application of Intelligent Transportation Systems (ITS), data analytics, and emerging technologies in optimizing urban transportation networks. The findings aim to contribute to the development of efficient and environmentally friendly urban mobility solutions. <br></p>

Thesis Overview

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