[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-125203-en":3,"doc-seo-125203-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},125203,1099514067415,"Rowan","https://ap-avatar.wpscdn.com/avatar/100002539d78ffe74a7?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779092875211072502",8,"Research & Report","Optimization and Machine Learning Methods toward Improved Traffic Network Performance in Disrupted Environments","Optimization and machine learning approaches are developed to enhance traffic network performance when disruptions degrade normal operations. The work examines how to identify the impact area of a traffic event using k-means clustering, and how to quantify roadway improvement action impacts during execution. It also derives optimal toll prices and compensation levels to guide incentive-based decisions, and studies information dissemination strategies to support a stable and resilient traffic network under disruption. The dissertation integrates these components into a coherent decision-making perspective for disrupted transportation settings.","OPTIMIZATION AND MACHINE LEARNING METHODS TOWARD IMPROVED TRAFFIC NETWORK PERFORMANCE IN DISRUPTED ENVIRONMENTS  \nby  \nSohrab Mamdoohi  \nA Dissertation  \nSubmitted to the  \nGraduate Faculty  \nof  \nGeorge Mason University  \nin Partial Fulfillment of  \nThe Requirements for the Degree  \nof  \nDoctor of Philosophy  \nCivil and Infrastructure Engineering  \nCommittee:  \n  Dr. Elise Miller-Hooks, Dissertation  \nDirector  \n  Dr. Jonathan Gifford, Committee Member   Dr. Lance Sherry, Committee Member   Dr. David Lattanzi, Committee Member   Dr. Elise Miller-Hooks, Department Chair  \nDate:  Spring Semester 2023  \nGeorge Mason University  \nFairfax, VA  \nOptimization and Machine Learning Methods toward Improved Traffic Network Performance in Disrupted Environments  \nA Dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy at George Mason University  \nby  \nSohrab Mamdoohi  \nMaster of Science  \nGeorge Mason University, 2021  \nMaster of Science  \nSharif University of Technology, 2016  \nDirector: Elise Miller-Hooks, Professor  \nDepartment of Civil, Environmental, and Infrastructure Engineering  \nSpring Semester 2023  \nGeorge Mason University  \nFairfax, VA  \nCopyright 2023 Sohrab Mamdoohi All Rights Reserved  \nDEDICATION  \nI am thrilled to dedicate this work to some of the coolest and most supportive people in my life. Without your love, encouragement, and humor, I would not have made it this far. So, here is to you:  \nTo my dear parents, who have always believed in me, even when I doubted myself, and who have instilled in me the values of hard work, perseverance, and compassion. Thankyou for your sacrifices, your wisdom, and your unconditional love. I would not be here without you, and I am grateful for everything you have done for me. And thank you for always pushing me to graduate early, even though I managed not to listen to you. You were always right, as usual.  \nTo my lovely sister, who is always challenging me to be my best self, who knows how to push my buttons, and who loves me deeply, even when we ’re arguing. Thank you for being my sister, my friend, and my partner in crime.  \nTo my amazing wife, who has been my rock, my confidante, and my other partner in crime. Thank you for putting up with my quirks and for being my source of inspiration. This dissertation is dedicated to you and to your wonderful family, who have welcomed me with open arms and made me feel like a part of the family.  \nTo my brilliant advisor, Elise, who is the reason why I am here today, who has taught me the ropes of research, and who has challenged me to be my best self. Thank you for your guidance, your patience, and your occasional dance moves. You are a superstar, and I am honored to have you as my mentor.  \nAnd finally, to the one and only Mamdoohi from Jolgeh-Rokh, who got his Ph.D. and who is funny enough to dedicate his own dissertation to himself. Congratulations, buddy, you did it! You have proven to the world that a Mamdoohi from Jolgeh-Rokh can accomplish anything he sets his mind to, and that humor is the best medicine for the soul. Keep rocking, keep laughing, and keep being you.  \nTo all of you, I dedicate this dissertation with all my heart and humor. You have been my pillars of strength, my sources of joy, and my reasons to celebrate. Let’s toast to this milestone and to the many more to come.  \nACKNOWLEDGEMENTS  \nFirst and foremost, I am deeply grateful to my advisor, Dr. Elise Miller-Hooks, for her exceptional guidance, unwavering support, and valuable feedback throughout this journey. Her insightful suggestions and encouragement have been instrumental in shaping my research.  \nI would also like to express my sincere appreciation to the members of my dissertation committee: Dr. Jonathan Gifford, Dr. Lance Sherry, and Dr. David Lattanzi. Their invaluable input, constructive criticisms, and infinite patience have been crucial to the completion of this work. I am honored to have had the privilege t","cbCaiuTrs3uFaO6N","https://ap.wps.com/l/cbCaiuTrs3uFaO6N","pdf",5515910,1,202,"English","en",105,"# Chapter One: Introduction\n## Identifying the Impact Area of a Traffic Event through k‑Means Clustering\n## Understanding Roadway Improvement Action Impacts during Execution\n## Discovery of Optimal Toll Prices and Compensation Levels\n## Information Dissemination toward a Stable and Resilient Traffic Network under Disruption","[{\"question\":\"How does the dissertation determine the impact area of a traffic disruption?\",\"answer\":\"It uses k-means clustering to identify the impact area of a traffic event from the available information.\"},{\"question\":\"What role do roadway improvement actions play in the proposed framework?\",\"answer\":\"It evaluates the impacts of roadway improvement actions during execution, connecting decisions to network performance outcomes.\"},{\"question\":\"How are toll prices and compensation levels optimized in disrupted environments?\",\"answer\":\"The research formulates and discovers optimal toll prices and compensation levels to support better decision-making under disruption.\"}]","Optimization and Machine Learning Methods toward Improved Traffic Network Performance in Disrupted Environments | 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