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Ph.D. Work (Ongoing)

Ph.D. Dissertation: Assessing the Safety and Mobility Benefits of Connected and Autonomous Vehicle: Platooning, Managed Lane Connected Vehicle Platoons, Level of Automation 
•    Building the VISSIM simulation model using real-time traffic data
•    SAS, Python, and ArcGIS have been exercised for data preparation
•    Calibration and the validation of the baseline VISSIM model
•    Applying connected and autonomous vehicle using C++ programming language in VISSIM
•    Analyzing the safety and operational benefits of connected and autonomous vehicle
•    Analyzing managed-lane connected vehicle platooning application in freeway
•    Different level of automations were applied under connected vehicle technology

•    Evaluating proactive traffic management strategies under connected and automated vehicle technologies

M.S. Work 

M.S. Thesis: Applying Machine Learning Techniques to Analyze the Pedestrian and Bicycle Crashes at the Macroscopic Level
• Developed crash prediction models at the macroscopic level considering both spatial and aspatial variables 
• Developed data mining approaches (i.e., decision tree regression (DTR) models) for both pedestrian and bicycle crash counts
• Applied three ensemble techniques (Bagging, Random Forest, and Boosting) in order to improve the prediction accuracy of weak learner (DTR models) for macro-level crash counts. 

Research Project Work

Integrated Freeway/Arterial Active Traffic Management (Funded by FDOT)

  • As a lead team member of this project, I developed a data intensive framework for deployment, calibration, and validation of a hybrid Dynamic Traffic Assignment (DTA) model for Orlando metropolitan area using multiresolution modelling framework in AIMSUN

  • The large subarea network counting 18350 links, 8942 nodes, and 2417 signalized intersections were calibrated and validated as mesoscopic DTA.

  • Analyzing integrated active traffic management strategies for the critical roadway in Orlando area

  • Developing various response plan and decision support system for emergency traffic situation

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Evaluation of Managed Lane Facilities in a Connected Vehicle Environment (Funded by SaferSim)

  • Analyzing the safety performance of managed lanes and general-purpose lanes

  • Evaluating the optimal weaving lengths for the managed lane facility considering the safety benefits

  • Examining the impact of connected vehicle market penetration rates for managed-lane facility

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Prepared deliverables (report, presentation etc.) for the sponsoring agency of the projects

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