Kakan Dey

Contact Information

Address: 1460 Middlevale Rd
Room: 140A
East Lansing , MI 48823

Phone:

(517) 353-6392

Email:

kakan@msu.edu

Associate Professor

Civil and Environmental Engineering

Biography

Dr. Kakan Dey is an Associate Professor in the Department of Civil and Environmental Engineering. Dr. Dey’s research primarily focuses on emerging connected and automated mobility service modeling, intelligent transportation systems (ITS) data analytics, statistical and machine learning (ML) modeling, and traffic safety and operations. His research has been sponsored by federal, state, and regional agencies such as the National Science Foundation (NSF), US Department of Transportation (US DOT), Michigan DOT, Minnesota DOT, Ohio DOT, Tennessee DOT, Nevada DOT, South Dakota DOT, and University Transportation Centers (UTCs). He is a member of the Transportation Research Board (TRB) Vehicle Highway Automation (ACP30) Committee and the ASCE TDI Committee on Freight and Logistics and served in TRB Artificial Intelligence and Advanced Computing Applications (AED50) Committee (2017- 2023). Dr. Dey co-edited the textbook “Data Analytics for Intelligent Transportation Systems,” published by Elsevier. He is an Associate Editor of the IEEE Transactions on Intelligent Transportation Systems and the IET Intelligent Transport Systems Journals.

Education

  • Ph.D., Civil Engineering (Transportation), Clemson University 2014
  • M.S., Civil Engineering (Transportation), Wayne State University 2010
  • B.S., Civil Engineering, Bangladesh University of Engineering & Technology 2005

Research Interests

  • Emerging Connected and Automated Mobility Service Modeling
  • Intelligent Transportation Systems Data Analytics
  • Statistical and Machine Learning Modeling
  • Traffic Safety and Operations

Grants

PI - Roadside Feature Placement and Pedestrian Safety on Low and Intermediate Speed Roads
Minnesota DOT
2024-2026
PI - User Understanding of Pedestrian Hybrid Beacon Operation
Minnesota DOT
2024-2026
PI - CAREER: Transportation Network Maintenance under Climate Change, Resource Uncertainties, and Connectivity
National Science Foundation (NSF)
2023-2028
Co-PI - Identification of Simulation Calibration Parameters Using Urban Freeway Data
Tennessee DOT
2022-2024
Co-PI - Smart and Connected Atlantic City Expressway
US DOT
2024-2028
PI - Investigating Implementation Potentials of Turbo Roundabouts in Nevada
Nevada DOT
2021-2024

Selected Publications

  1. Rahman, M. T., Dey, K., & Ashraf, M. T. (2024). Perceptions of vulnerable roadway users on autonomous vehicle regulations. Journal of safety research, Elsevier
  2. Ashraf, M.T., Dey, K., & Mishra, S. (2023). Identification of High-Risk Roadway Segments for Wrong-Way Driving Crash Using Rare Event Modeling and Data Augmentation Techniques. Accident Analysis and Prevention, Elsevier
  3. Rahman, M.T., Dey, K., Pyrialakou, V.D., & Das, S. (2023). Factors Influencing Safety Perceptions of Sharing Roadways with Autonomous Vehicles among Vulnerable Roadway Users. Journal of Safety Research, Elsevier
  4. Dey, K., & Hossain, M. M. (2023). Do people act differently while using ridesharing services with children? Transportation research part A: policy and practice A, Elsevier
  5. Salek, M.S., Chowdhury, M., Rahman, M., Dey, K., & Islam, M.R. (2023). Theoretical Development and Numerical Validation of an Asymmetric Linear Bilateral Control Model- Case Study for an Automated Truck Platoon. ACM Journal on Autonomous Transportation Systems, ACM

MSU Scholar

Google Scholar

Awards

  • 2023, National Science Foundation (NSF) Early CAREER Award
  • 2017, George N. Saridis Best Transactions Paper Award, IEEE Transactions on Intelligent Transportation Systems
  • 2017, ASCE Excellence in Civil Engineering Education (ExCEEd) Fellowship
  • 2016, Clemson University Distinguished Postdoctoral Award