Srinivas Peeta

Frederick R. Dickerson Chair & Professor
Office Building
Sustainable Education Building
Office Room Number
230
Biography

Dr. Srinivas Peeta is the Frederick R. Dickerson Chair and Professor in the School of Civil and Environmental Engineering and the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. He is also Principal Research Faculty at the Georgia Tech Research Institute. He is the Co-Editor-in-Chief of the journal Transportation Research Part B: Methodological. Dr. Peeta is a Distinguished Alumnus of the Indian Institute of Technology (Madras) and an American Society of Civil Engineers (ASCE) Fellow. He received his B.Tech., M.S., and Ph.D. degrees from the Indian Institute of Technology (Madras), Caltech, and The University of Texas at Austin, respectively. Prior to Georgia Tech, Dr. Peeta was the Jack and Kay Hockema Professor in Civil Engineering at Purdue University up to 2018. From 2006 to 2018, he served as the founding Director of the NEXTRANS Center, formerly the U.S. Department of Transportation’s (USDOT’s) Federal Region 5 University Transportation Center (UTC). He was also the founding Associate Director of USDOT’s Center for Connected and Automated Transportation (CCAT), the Region 5 UTC, from 2016 to 2018. Dr. Peeta was a past Chair (2007-2013) of the Transportation Network Modeling Committee of the Transportation Research Board (TRB) of the National Academies.

Dr. Peeta has authored over 515 technical publications, including over 450 in peer-reviewed journals and conference proceedings. He has over 600 talks/lectures in several countries, including 165 invited talks. He has received over $56 million in research funding. Dr. Peeta is on the Editorial Advisory Boards of the Journal of Intelligent Transportation Systems, Transportmetrica B: Transport Dynamics, Journal of Blockchain and Intelligent Computing, Frontiers in Built Environments, and Transportation in Developing Economies. He is an Advisory Board member of Korean Society of Civil Engineering’s Journal of Civil Engineering. Some of his recognitions include the INFORMS Transportation Science Best Dissertation Award (1994), U.S. NSF CAREER Award (1997), ASCE Walter Huber Research Prize (2009), TRB Blue Ribbon Committee Award (2013), and several paper awards from conferences (ASCE, IEEE, TRB, ACM) and journals. Several of his students have received best dissertation/thesis awards from professional organizations such as CUTC, IATBR and COTA. His research interests broadly span transportation and infrastructure systems, and multiple methodological areas. His work in the area of dynamic traffic assignment represents a standard for research reference, and has guided the U.S. Department of Transportation’s development of a deployable architecture for real-time route guidance in large-scale transportation systems equipped with advanced information dissemination technologies.

Research

Professor Peeta’s research interests are multidisciplinary and span several methodological domains related to transportation and infrastructure systems, and the role of emerging technologies. His research focuses on the development of advanced optimization and control methods, AI/ML techniques, econometric and behavioral approaches, driving simulator-based environments, and system-of-systems paradigms for complex transportation systems. His research also explores the roles of autonomy, automation, connectivity, electrification, shared mobility, and information and communication systems for the movement of people and freight. His work includes modeling, analysis, and management of traffic and transportation networks, with an emphasis on dynamic traffic assignment, real-time traffic control, human-machine interactions, mixed-traffic environments, vehicle-human-infrastructure interactions, and intelligent transportation systems. The research integrates concepts from operations research, systems engineering, behavior and psychological theories, and transportation analytics to improve efficiency, reliability, and sustainability of transportation infrastructure.

Education
Ph.D. in Civil Engineering The University of Texas at Austin 1994
M.S. in Civil Engineering California Institute of Technology 1989
B.Tech. in Civil Engineering Indian Institute of Technology – Madras 1988

                               

Teaching

Professor Peeta’s teaching is centered on transportation systems engineering and operations research topics at both undergraduate and graduate levels. His instruction encompasses transportation systems analysis, traffic flow theory, transportation network modeling, transportation demand modeling, optimization techniques, and intelligent transportation systems. Professor Peeta emphasizes a rigorous quantitative approach and practical problem-solving skills in his courses, aiming to prepare students for analytical and decision-making challenges in transportation engineering. In recent years, his courses have had an additional focus on the roles of emerging transformative technologies and emerging AI/ML methods in transportation systems.

Distinctions & Awards
  • 2026 Co-Editor-in-Chief, Transportation Research, Part B
  • 2025 ACM SIGSPATIAL Best Paper Award; Spatial Intelligence for Smart and Connected Communities
  • 2025 TRB AEP35 Best Paper Award; Committee on Effects of Information and Communication Technologies on Travel Choices
  • 2024 Fellow, American Society of Civil Engineering
  • 2020 Matthew G. Karlaftis Best Paper Award, ASCE Journal of Infrastructure Systems
  • 2019 Distinguished Alumnus Award, Indian Institute of Technology, Madras, India
  • 2019 Editor’s Choice Paper Award, Maritime Economics & Logistics Journal
  • 2018 Special Guest and Distinguished Participant; at the ‘Move’: A Global Mobility Summit organized by the Government of India
  • 2016 Invited American Transportation Expert, U.S. Department of State. Selected for the “Building Smart Cities Through Educational Linkages” program to support smart city solutions in India
  • 2015 Jack and Kay Hockema Professor; Purdue University
  • 2015 IEEE ITSC Paper Award; IEEE Intelligent Transportation Systems Conference
  • 2015 Certificate of Appreciation, Transportation Research Board; In recognition for “Developing Research that has Significant Private Sector Applicability.”
  • 2015 TRB AT045 Intermodal Freight Best Paper Award; TRB Committee on Intermodal Freight
  • 2014 Member, Advisory Board; Korean Society of Civil Engineering, Journal of Civil Engineering
  • 2013 TRB Blue Ribbon Committee Award; Chair of Transportation Network Modeling Committee for “Contributing to TRB & the Transportation Community,” based on initiatives under Dr. Peeta’s leadership
  • 2013 Certificate of Appreciation, Transportation Research Board; Recognized for 6 years of service as the Chair of the Transportation Network Modeling Committee (ADB30) and Member of the Section on Travel Analysis Methods
  • 2013 Certificate of Appreciation, CICTP Conference; Recognized as an Honor Speaker at the 13th COTA International Conference of Transportation Professionals
  • 2012 Associate Editor, Transportmetrica B: Transport Dynamics
  • 2012 College of Engineering Mentoring Award, Purdue University; “For playing an exemplary and selfless role as he instills integrity and responsibility in team members, challenges and motivates students, and mentors by example.”
  • 2012 Certificate of Commendation, Transportation Research Board; To recognize the paper review efforts of the Transportation Network Modeling Committee members and friends; by the TRB Technical Activities Council and the TRR Publication Board
  • 2012 Certificate of Appreciation, CICTP Conference; Recognized as an Honor Speaker at the 12th COTA International Conference of Transportation Professionals
  • 2011 Executive Board Member, Transportation Research Group of India (TRGI); TRGI is a non-profit research organization which seeks to aid India’s overall growth through focused transportation research, education, and policies
  • 2010 UniSA Distinguished Researcher Award, University of South Australia (UniSA); “One of 4 awardees across all disciplines to attract distinguished international researchers with outstanding research track records in their respective fields to visit UniSA to establish or strengthen research collaborations likely to lead to high profile research outcomes.”
  • 2009 Walter Huber Research Prize, American Society of Civil Engineers; “Recognized for his outstanding research contributions to the advancement of transportation network modeling.”
  • 2009 AATT Best Paper Award; 10th International Conference on the Applications of Advanced Technologies in Transportation (AATT) in Athens, Greece, sponsored by the American Society of Civil Engineers
  • 2009 Visiting Distinguished Scholar, Taiwan
  • 2008 Invited Speaker at the NAE Frontiers of Engineering, National Academy of Engineering; “Megacities and System of Systems Modeling,” Irvine, CA
  • 2007 Chair, Committee on Transportation Network Modeling (ADB30), TRB of the National Academies
  • 2007 TRB AHB25 Exceptional Paper Award, TRB Traffic Signal Systems Committee
  • 2007 Seed for Success Award, Purdue University (2007 – 2013); Given each year in recognition of the accomplishments of single investigators and teams of investigators for their efforts in obtaining a $1 million dollar or more research grant
  • 2004 Roy E. & Myrna Wansik Excellence in Research Award, Purdue University; “Awarded to a faculty member of the School of Civil Engineering for research contributions and/or the most meritorious technical paper in a refereed journal.”
  • 1997 NSF CAREER Award, NSF, For the proposal titled, “Efficient and Robust On-line Control of Large-scale Dynamic Traffic Systems with Information Systems.”
  • 1994 INFORMS Transportation Science Best Dissertation Award, the Institute for Operations Research and Management Science (INFORMS); “This award is the oldest and most prestigious honor for doctoral dissertations in the transportation science area.”
Publications
  1. Chen, Z., Xu, Y. and Peeta, S. (2025). “Deep Learning-Based Travel Choice Prediction with Provable and Adaptable Fairness Guarantees,” Transportation Research, Part B: Methodological, Vol. 200, ID 103318.
  2. Liu, Y. and Peeta, S. (2025). “Human-Like Lane-Change Control Strategy for Connected and Autonomous Vehicles to Improve Interactions with Human-Driven Vehicles,” Transportation Research, Part C: Emerging Technologies, Vol. 177, ID 105211.
  3. Souders, D., Agrawal, S., Benedyk, I., Guo, Y., Li, Y. and Peeta, S. (2025). “Inflating System Expectations Prior to SAE Level 3 Automated Vehicle Use: Effects on Monitoring Behavior, Resumption of Control, and Attitudes toward Driving Automation,” Transportation Research Interdisciplinary Perspectives, Vol. 34, ID 101725.
  4. Liu, Y., Zhou, A., Wang, Y. and Peeta, S. (2025). “Proactive Longitudinal Control to Assist Lane Changes of Human-Driven Vehicles in Mixed Traffic: Human-Emulation Approach,” Automotive Innovation; DOI: 10.1007/s42154-025-00357-9 (Open Access).
  5. Zhou, A., Zhou, H., Laval, J. and Peeta, S. (2025). “String Instability Mitigation of Adaptive Cruise Control Without Modifying Control Laws: Trajectory Shaper and Parameter Estimation,” Transportmetrica B: Transport Dynamics; Vol. 13, No. 1, ID 2473885.
  6. Zhu, Y., Li, Y., Zhou, H., Huang, X., Ou, Y. and Peeta, S. (2024). “The Effects of Communication Topology on Mixed Traffic Flow: Modelling and Analysis,” Transportmetrica B: Transport Dynamics, Vol. 12, No. 1, ID 2422373.
  7. Li, X., Zhang, X., Qian, X., Zhao, C., Guo, Y. and Peeta, S. (2024). “Beyond Centralization: Non-cooperative Perimeter Control with Extended Mean-field Reinforcement Learning in Urban Road Networks,” Transportation Research, Part B: Methodological, Vol. 186, ID 103016.
  8. Wang, J., Liu, Z., Zhou, A. and Peeta, S. (2024). “Robust Cooperative Control Strategy for a Platoon of Connected and Autonomous Vehicles Against Sensor Errors and Control Errors Simultaneously in a Real-World Driving Environment,” Transportation Research, Part B: Methodological, Vol. 184, ID 102946.
  9. Zhou, A., Peeta, S., Zhou, H., Laval, J., Wang, Z. and Cook, A. (2024). “Implications of Stop-and-Go Traffic on Training Learning-Based Car-Following Control,” Transportation Research, Part C: Emerging Technologies, Vol. 168, ID 104578.
  10. Wang, C. and Peeta, S. (2024). “Incentive Mechanism for Privacy-Preserving Collaborative Routing using Secure Multi-party Computation and Blockchain,” Sensors, Vol. 24, No. 2, ID 542.

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