{"id":9778,"date":"2023-06-08T17:28:22","date_gmt":"2023-06-08T21:28:22","guid":{"rendered":"https:\/\/blogarchive.utc.edu\/campus-weekly\/?p=9778"},"modified":"2023-06-08T17:28:23","modified_gmt":"2023-06-08T21:28:23","slug":"notice-of-final-defense-faiza-khan-to-present-dissertation-research","status":"publish","type":"post","link":"https:\/\/blogarchive.utc.edu\/campus-weekly\/2023\/06\/notice-of-final-defense-faiza-khan-to-present-dissertation-research\/","title":{"rendered":"Notice of Final Defense – Faiza Khan to Present Dissertation Research"},"content":{"rendered":"\n

The UTC Graduate School is pleased to announce that\u00a0Faiza Khan will present Master’s research titled,\u00a0INTEGRATING HUMAN PSYCHOLOGY INTO CAR-FOLLOWING MODELS FOR ACCURATE RESPONSE PREDICTION: A REALISTIC APPROACH on\u00a006\/16\/2023 at\u00a04pm in\u00a0EMCS 4th<\/sup> floor Maytag Room\/zoom https:\/\/tennessee.zoom.us\/j\/92348764167<\/strong><\/a>. Everyone is invited to attend.\u00a0

Engineering

Chair:\u00a0Mbakisya Onyango

Co-Chair:\u00a0Dr. Mina Sartipi

Abstract:

Car-following models traditionally focus on vehicle kinematics or dynamics parameters without considering human psychology. However, recent research has attempted to incorporate psychology into car-following models. Despite these efforts, there are limitations in understanding the psychological triggers that influence specific drivers’ responses. To address this gap, we propose a new car-following model based on the Theory of Planned Behavior (TPB), which incorporates the human element by utilizing psychological theories. In this research, a new car-following model of traffic flow is proposed by utilizing the theory of Planned Behavior (TPB). We collected data through a survey utilizing the TPB and analyzed it based on demographic values. The data was used to measure the value of behavior and cluster it into defensive, neutral, and offensive profiles. The measured behavior was then utilized in the new car-following model, which outperformed the baseline model in performance indexes. Therefore, our research presents a new mathematical model that incorporates both kinematics and psychological factors, based on real-world data, and yields better more accurate responses compared to the baseline models.<\/p>\n","protected":false},"excerpt":{"rendered":"

The UTC Graduate School is pleased to announce that\u00a0Faiza Khan will present Master’s research titled,\u00a0INTEGRATING HUMAN PSYCHOLOGY INTO CAR-FOLLOWING MODELS FOR ACCURATE RESPONSE PREDICTION: A REALISTIC APPROACH on\u00a006\/16\/2023 at\u00a04pm in\u00a0EMCS 4th floor Maytag Room\/zoom https:\/\/tennessee.zoom.us\/j\/92348764167. Everyone is invited to attend.\u00a0 Engineering Chair:\u00a0Mbakisya Onyango Co-Chair:\u00a0Dr. Mina Sartipi Abstract: Car-following models traditionally focus on vehicle kinematics or… <\/p>\n

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