Smart Transportation Systems for Sustainable Urban Mobility" | Blazingprojects Postgraduate Thesis
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Smart Transportation Systems for Sustainable Urban Mobility"

 

Table Of Contents


  • 1.1Background and Rationale
  • 1.2Research Objectives
  • 1.3Scope and Significance
  • 1.4Research Questions
  • 1.5Methodology Overview
  • 1.6Organization of the ThesisChapter 2: Literature Review2.1 Evolution of Urban Transportation Systems
  • 2.2Key Components of Smart Transportation Systems
  • 2.3Applications of ITS and Data Analytics in Urban Mobility
  • 2.4Previous Studies on Smart Transportation Integration
  • 2.5Gaps in Existing Research
  • 2.6Conceptual FrameworkChapter 3: Methodology3.1 Data Collection 3.
  • 1.1Traffic Flow and Transportation Data 3.
  • 1.2Application of ITS and IoT Devices
  • 3.2Modeling and Simulation Techniques 3.
  • 2.1Traffic Flow Modeling and Optimization 3.
  • 2.2GIS-Based Spatial Analysis for Transportation Planning
  • 3.3Assessment of Environmental Impact and Sustainability
  • 3.4Stakeholder Engagement and User Satisfaction
  • 3.5Technological Challenges and Opportunities
  • 3.6Limitations and AssumptionsChapter 4: Results and Discussion4.1 Analysis of Traffic Flow Optimization Using ITS
  • 4.2Evaluation of Environmental Impacts and Sustainability
  • 4.3User Satisfaction and Stakeholder Perspectives
  • 4.4Comparative Assessment of Smart Transportation Systems
  • 4.5Case Studies: Successful Implementation of Urban Mobility Solutions
  • 4.6Implications for Sustainable Urban Transportation PlanningChapter 5: Conclusion and Recommendations5.1 Summary of Findings
  • 5.2Contributions to Existing Knowledge
  • 5.3Practical Implications for Smart Transportation Implementation
  • 5.4Recommendations for Future Research
  • 5.5Conclusion  

Thesis Abstract

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.

Thesis Overview

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