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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/29322
Title: Leveraging Macroscopic Fundamental Diagrams (MFDs) and Control Strategies for Sustainable Transportation Networks
Authors: Halakoo, Mohammad
Advisor: Yang, Hao
Department: Civil Engineering
Keywords: Macroscopic Fundamental Diagram;Traffic control;sustainable transportation;traffic flow theory
Publication Date: 2024
Abstract: Urban transportation networks form the backbone of modern societies, enabling essential mobility and economic activities while presenting intricate challenges associated with traffic congestion, emissions, and environmental sustainability. This thesis presents a comprehensive and integrated study framework to enhance the robustness and sustainability of urban transportation infrastructure. With a primary focus on the Macroscopic Fundamental Diagram (MFD) and its associated control strategies, the research focuses on the complex dynamics of network performance, emphasizing the critical interplay between congestion management, bottleneck identification, and the reduction of environmental impact within complex urban environments. The initial chapters provide a comprehensive overview of the challenges inherent within contemporary urban transportation systems, emphasizing the adverse impacts of traffic congestion and emissions on network efficiency and the environment. Leveraging the principles of the MFD, the study investigates the diverse dynamics of network performance, demonstrating the pivotal role of network configurations and congestion distributions in shaping traffic flow patterns and emissions. Subsequent chapters extend the research framework by introducing novel concepts such as the heterogeneity-aware emission Macroscopic Fundamental Diagram (e-MFD) and the innovative eMFD controller. The study showcases the efficacy of these novel approaches in mitigating environmental impact and optimizing network performance by leveraging the MFD, eMFD, and the Model Predictive Controller (MPC). Developing comprehensive decision tree models for bottleneck identification and management further enhances the reliability and applicability of traffic control strategies within complex urban environments. In conclusion, this thesis serves as a seminal contribution to the field of transportation engineering, offering a comprehensive and integrated framework for policymakers and transportation authorities to develop sustainable strategies for enhancing urban transportation infrastructure's performance and environmental sustainability. The findings presented within this research provide a solid foundation for future research endeavours and underscore the imperative of holistic approaches in shaping the future of sustainable urban transportation networks.
URI: http://hdl.handle.net/11375/29322
Appears in Collections:Open Access Dissertations and Theses

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