Dr.Bhargava Rama Chilukuri

Dr. Bhargava Rama Chilukuri
Assistant Professor
Phone: +91-44-22574270
Email: bhargava@iitm.ac.in

IITM Scholar profile page

  • Ph.D., Department of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
  • M.S., Department of Civil and Environmental Engineering, University of Utah, Salt Lake City, Utah, USA
  • B.Tech (Hons), Department of Civil Engineering, Indian Institute of Technology, Kharagpur, West Bengal, India
Professional Experience
  • Assistant Professor, Department of Civil Engineering,Indian Institute of Technology Madras, Chennai, India – Dec. 2016
  • Postdoctoral Fellow, Georgia Institute of Technology, Atlanta, Georgia, USA – Dec 2015 to Dec. 2016
  • Traffic Engineer, multiple companies in the USA – Oct 2002 to Feb. 2008 ( Professional Engineer License – Texas, # 100379)
Research Interests
  • Traffic Flow Theory of Homogenous and Heterogeneous Traffic
  • Optimal control of arterials, highways, and networks
  • Numerical methods and Simulation
Recent Publications
  • Anusree Anand P, Atmakuri Priyanka, Anne Viswasrirupa, Gowri Asaithambi, Karthik K Srinivasan, Sivanandan R and Bhargava Rama Chilukuri. “Calibration of Vehicle Following Model Parameters using Mixed Traffic Trajectory Data”, accepted for publication in Transportation in Developing Economies
  • Aathira Das and Bhargava Chilukuri. “An Integer Programming Formulation for Optimal Mode-specific Route Assignment”, Shortlisted for publication as a book chapter in Lecture Notes in Civil Engineering – Recent Advances in Traffic Engineering (RATE 2018), Springer, Berlin.
  • Hunter, Michael, et al. “Energy-Aware Dynamic Data-Driven Distributed Traffic Simulation for Energy and Emissions Reduction.” Handbook of Dynamic Data Driven Applications Systems. Springer, Cham, 2018. 467-487.
  • Laval, Jorge A., Guillaume Costeseque, and Bhargava Rama Chilukuri. “The impact of source terms in the variational representation of traffic flow.” Transportation Research Part B: Methodological 94 (2016): 204-216
  • Laval, Jorge A., and Bhargava Rama Chilukuri. “Symmetries in the kinematic wave model and a parameter-free representation of traffic flow.” Transportation Research Part B: Methodological 89 (2016): 168-177
  • Chilukuri, Bhargava Rama, Jorge Laval, and Angshuman Guin. “Micro-Simulation Based Framework for Freeway Travel-Time Forecasting.” Transportation Research Record: Journal of the Transportation Research Board, 2470, no 1 (2014): 34–45
  • Laval, Jorge and Chilukuri, Bhargava Rama. “The Distribution of Congestion on a Class of Stochastic Kinematic Wave Models.” Transportation Science 48, no. 2 (2013): 217-224
  • Chilukuri, Bhargava Rama and Jorge Laval. “Traffic Signal Volume Warrants: A Delay Perspective.” ITE Journal 82, no. 3 (2012)
Research and Consultancy

Details of major sponsored research projects:

  • Analytical Solutions for Optimal Control of Long Corridors under Non-Linear Merging, IIT Madras, 2017-2019 (PI)
  • Data Analysis and State Estimation using WiFi-based Traffic Sensor Technology, Robert Bosch Centre for Data Science and Artificial Intelligence – IIT Madras, 2018-2019 (PI)
  • Departure Time Planner using V2V and V2I Communication, Department of MeitY, GOI, 2019-2021 (PI)
  • Aerial Data Collection System for Mixed Traffic Conditions, Industrial Consulting & Sponsored Research – IIT Madras, 2019-2022 (PI)
  • Development of a bus priority system at signalized intersections using V2I communication, Department of MeitY, GOI, 2019-2021 (CoPI)
  • Advanced Techniques for Mobility and Congestion Analysis For Indian Cities, SPARC, GOI, 2019-2021 (CoPI)
  • Enhanced Traffic Mobility Using Signal Improvements, L&T Technology Services, 2017-2020 (Co-PI)
Student Guidance

Current Ph.D. thesis guidance (Individual and Joint guidance):

    • Aathira K. Das
    • Abirami Krishna
    • Nandan Maiti
    • Himabindu M. (Co-guidance)
    • Haritha C. (Co-guidance)
    • Sethuvinayagam (Co-guidance)
    • Abhishek Raj (Co-guidance) 

Current M.S. thesis guidance (Individual and Joint guidance):

  • Agnus Rachel (Co-guidance)
  • Traffic Flow Theory
  • Advanced Traffic Flow Theory
  • Transportation Engineering Studio
  • Traffic Engineering II
Continuing Education
AICTE Short Term Training Course “Modeling and Control of Traffic under Mixed Conditions”,  2-7 December 2019