Srinivas Peeta

Frederick R. Dickerson Chair and
Professor

Contact

 SEB 230
 404.894.2243
 Personal website
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  • Srinivas Peeta Google Scholar

Education

  • Ph.D. Civil Engineering - Transportation Engineering (1994), The University of Texas at Austin
  • M.S. Civil Engineering (1989), California Institute of Technology
  • B.Tech. Civil Engineering (1988), Indian Institute of Technology, Madras

Expertise

  • Transportation Systems
  • Autonomous and Connected Transportation
  • Optimization
  • Control Theory
  • Network Modeling
  • Behavior Modeling

About

Srinivas Peeta is the Frederick R. Dickerson Chair and Professor, with a joint appointment in the School of Civil and Environmental Engineering and the H. Milton Stewart School of Industrial and Systems Engineering. 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.

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

Awards and Honors

  • Co-Editor-in-Chief, Transportation Research, Part B. 
  • ACM SIGSPATIAL Best Paper Award; Spatial Intelligence for Smart and Connected Communities.
  • TRB AEP35 Best Paper Award; Committee on Effects of Information and Communication Technologies on Travel Choices. 
  • Fellow, American Society of Civil Engineering. 
  • Matthew G. Karlaftis Best Paper Award, ASCE Journal of Infrastructure Systems. 
  • Distinguished Alumnus Award, Indian Institute of Technology, Madras, India.  
  • Editor’s Choice Paper Award, Maritime Economics & Logistics Journal.  
  • Special Guest and Distinguished Participant; at the ‘Move’: A Global Mobility Summit organized by the Government of India. 
  • Invited American Transportation Expert, U.S. Department of State. “Building Smart Cities Through Educational Linkages” program to support smart city solutions in India. 
  • Jack and Kay Hockema Professor; Purdue University.     
  • Certificate of Appreciation, Transportation Research Board; In recognition for “Developing Research that has Significant Private Sector Applicability.”
  • IEEE ITSC Paper Award; IEEE Intelligent Transportation Systems Conference.   
  • TRB AT045 Intermodal Freight Best Paper Award; TRB Committee on Intermodal Freight.    
  • Member, Advisory Board; Korean Society of Civil Engineering, Journal of Civil Engineering.
  • 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.
  • 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.
  • Certificate of Appreciation (Honor Speaker), CICTP Conference. 
  • Associate Editor, Transportmetrica B: Transport Dynamics.
  • College of Engineering Mentoring Award, Purdue University.  
  • Certificate of Commendation, Transportation Research Board.
  • Executive Board Member, Transportation Research Group of India (TRGI).
  • UniSA Distinguished Researcher Award, University of South Australia (UniSA). 
  • Walter Huber Research Prize, American Society of Civil Engineers; “Recognized for his outstanding research contributions to the advancement of transportation network modeling.”  
  • 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.    
  •  Visiting Distinguished Scholar, Taiwan.  
  • Invited Speaker at the NAE Frontiers of Engineering, National Academy of Engineering; “Megacities and System of Systems Modeling,” Irvine, CA.
  • Chair, Committee on Transportation Network Modeling (ADB30), TRB of the National Academies.
  • TRB AHB25 Exceptional Paper Award, TRB Traffic Signal Systems Committee.  
  • Seed for Success Award, Purdue University (2007 – 2013).
  •  Roy E. & Myrna Wansik Excellence in Research Award, Purdue University.
  • NSF CAREER Award, NSF, For the proposal titled, “Efficient and Robust On-line Control of Large-scale Dynamic Traffic Systems with Information Systems.”      
  • INFORMS Transportation Science Best Dissertation Award, the Institute for Operations Research and Management Science (INFORMS). 

Representative Publications

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.

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.

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.

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).

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.

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.

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.

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.

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.

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.