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Krishna Murthy Gurumurthy, Ph.D.

Computational Transportation Engineer

Argonne National Laboratory

About


Krishna Murthy Gurumurthy is a computational transportation engineer at the Argonne National Laboratory. He received his doctorate for his extensive work on shared autonomous vehicle forecasts under Dr Kara Kockelman, and holds two masters – in civil engineering and statistics – all from UT Austin. He earned his bachelor's in civil engineering from the National Institute of Technology Karnataka, India.

His research focuses on travel demand modeling & forecasting, especially through the utilization of largescale agent-based simulation tools. He is particularly interested in capturing the impacts of shared and automated vehicles (S/AVs) on travel patterns and congestion and measuring the resulting effects of various policies.

Murthy, as he’s often called, is an Eno Fellow from the 2019 class, actively participates in events organized by transportation organizations like ITE, ITS and WTS, and has previously served in leadership roles in their respective student chapters at UT. In addition to several scholarships, he is also the recipient of the ‘Outstanding Student’ award by Texas ITE. In his free time, he enjoys playing basketball and racquetball, and is interested in photography.

Krishna Murthy Gurumurthy

Education


Doctor of Philosophy in Civil Engineering, 2020
The University of Texas at Austin, USA

Master of Science in Statistics, 2020
The University of Texas at Austin, USA

Master of Science in Civil Engineering, 2017
The University of Texas at Austin, USA

Bachelor of Technology in Civil Engineering, 2016
National Institute of Technology Karnataka, India

Areas of Interest


  • Transportation Demand Forecasting
  • Shared & Autonomous Vehicles
  • Agent-Based Modeling
  • Dynamic Ride-Sharing
  • Simulation
  • Bayesian Modeling

  • Working Papers


  • Dean, M.D., Gurumurthy, K.M., de Souza, F., Auld, J., and Kockelman, K.M. Synergies Between Repositioning and Charging Strategies for Shared Autonomous Electric Vehicle (SAEV) Fleets.
  • Gurumurthy, K.M., Li, Z., Kockelman, K.M., and Bansal, P. Modelling Animal-Vehicle Collision Counts Across Large Networks using a Hierarchical Model with Dirichlet Process. Under review for publication in Analytic Methods in Accident Research.
    [PDF]
  • Zuniga-Garcia, N., Gurumurthy, K.M., Yahia, C.N., Kockelman, K.M. and Machemehl, R.B. Integrating Shared Mobility Services with Public Transit in Areas of Low Demand. Under review for publication in Transport Policy.
    [PDF]
  • Rahman, M., Gurumurthy, K.M., and Kockelman, K.M. Impacts of Flextime on Departure Time Choice for Home-Based Commuting Trips in Austin, Texas. Under review for publication in Transportation Research Record.
    [PDF]
  • Gurumurthy, K.M., Dean, M., and Kockelman, K.M. Strategic Charging of Shared Fully-Automated Electric Vehicle (SAEV) Fleets. Under review for publication in Growth & Change.
    [PDF]
  • Gurumurthy, K.M., and Kockelman, K.M. Dynamic Ride-Sharing Impacts of Greater Trip Demand and Aggregation at Stops. Under review for publication in Transportation Research Part A's special issue The Curb Lane.
    [PDF]
  • Gurumurthy, K.M., and Kockelman, K.M. Impacts of Shared Automated Vehicles on Airport Access & Operations, With Opportunities for Revenue Recovery: Case Study of Austin, Texas. Under review for publication in Research in Transportation Economics.
    [PDF]

  • Publications


  • Gurumurthy, K.M., Auld, J., and Kockelman, K.M. A System of Shared Autonomous Vehicles for Chicago: Understanding the Effect of Geofencing the Service. Forthcoming in Journal of Transport and Land Use.
    [Pre-print]
  • Yan, H., Kockelman, K.M., and Gurumurthy, K.M. Shared Autonomous Vehicle Fleet Performance: Impacts of Trip Densities and Parking Limitations. Transportation Research Part D 89: 102577.
    [Paper]   |   [Pre-print]
  • Gurumurthy, K.M., Kockelman, K.M., and Zuniga-Garcia, N. 2020. First-Mile-Last-Mile Collector-Distributor System using Shared Autonomous Mobility. Transportation Research Record. 2674 (10): 638 - 647.
    [Paper]   |   [Pre-print]
  • Gurumurthy, K.M., de Souza, F., Enam, A., and Auld, J. 2020. Integrating the Supply and Demand Perspectives for a Large-Scale Simulation of Shared Autonomous Vehicles. Transportation Research Record 2674 (7): 181-192.
    [Paper]   |   [Pre-print]
  • Becker, H., Becker, F., Abe, R., Bekhor, S., Belgiawan, P.F., Compostella, J., Frazzoli, E., Fulton, L.M., Garrick, N., Bicuda, D.G., Gurumurthy, K.M., Hensher, D.A., Joubert, J.W., Kockelman, K.M., Kroger, L., Kuhnimhof, T., Vine, S.L., Malik, J., Marczuk, K., Nasution, R.A., Rich, J., Carrone, A.P., Shen, D., Shiftan, Y., Tirachini, A., Verdis, D., Wong, Y.Z., Zhang, M., Bosch, P.M. and Axhausen, K.W. 2020. Impact of Vehicle Automation and Electric Propulsion on Production Costs for Mobility Services Worldwide. Transportation Research Part A 138: 105-126.
    [Paper]   |   [Pre-print]
  • de Souza, F., Gurumurthy, K.M., Auld, J., and Kockelman, K.M. 2020. A Repositioning Method for Shared Autonomous Vehicles Operation. Procedia Computer Science 170: 791-798.
    [Paper]   |   [Pre-print]
  • Gurumurthy, K.M. and Kockelman, K. 2020. Modeling Americans’ Autonomous Vehicle Preferences: A Focus on Dynamic Ride-Sharing, Privacy & Long-Distance Mode Choices. Technological Forecasting and Social Change 150 (119792).
    [Paper]   |   [Pre-print]
  • Gurumurthy, K.M., Kockelman, K. and Simoni, M.D. 2019. Benefits & Costs of Ride-Sharing in Shared Automated Vehicles Across Austin, Texas: Opportunities For Congestion Pricing. Transportation Research Record: Journal of the Transportation Research Board 2673 (6): 548-556.
    [Paper]   |   [Pre-print]
  • Simoni, M.D., Kockelman, K., Gurumurthy, K.M. and Bischoff, J. 2019. Congestion Pricing in a World of Self-Driving Vehicles: An Analysis of Different Strategies in Alternative Future Scenarios. Transportation Research Part C: Emerging Technologies 98: 167-185.
    [Paper]   |   [Pre-print]
  • Gurumurthy, K.M. and Kockelman, K. 2018. Analyzing the Dynamic Ride-Sharing Potential for Shared Autonomous Vehicle Fleets using Cellphone Data from Orlando, Florida . Computers, Environment and Urban Systems 71: 177-185.
    [Paper]   |   [Pre-print]

  • Conference Papers


  • Gurumurthy, K.M., Auld, J., and Kockelman, K.M. A System of Shared Autonomous Vehicles for Chicago: Understanding the Effect of Geofencing the Service. Presented online at the 100th Annual Meeting of the Transportation Research Board to be held virtually in January, 2021.
  • Gurumurthy, K.M., Dean, M., and Kockelman, K.M. Strategic Charging of Shared Fully-Automated Electric Vehicle (SAEV) Fleets. Presented online at the 100th Annual Meeting of the Transportation Research Board to be held virtually in January, 2021.
  • Rahman, M., Gurumurthy, K.M., and Kockelman, K.M. Impacts of Flextime on Departure Time Choice for Home-Based Commuting Trips in Austin, Texas. Presented online at the 100th Annual Meeting of the Transportation Research Board to be held virtually in January, 2021.
  • Gurumurthy, K.M., and Kockelman, K.M. Dynamic Ride-Sharing Impacts of Greater Trip Demand and Aggregation at Stops. Presented at the 2nd Bridging Transportation Researchers Online Conference.
  • Yan, H., Kockelman, K.M., and Gurumurthy, K.M. Shared Autonomous Vehicle Fleet Performance: Impacts of Parking Limitations and Trip Densities. Presented online at the 2020 Automated Vehicles Symposium’s Energy and Environment Implications breakout session and to be presented at the 100th Annual Meeting of the Transportation Research Board to be held virtually in January,2021.
  • de Souza, F., Gurumurthy, K.M., Auld, J., and Kockelman, K.M. An Optimization-Based Strategy for Shared Autonomous Vehicle Fleet Repositioning. Presented online at the 6th International Conference on Vehicle Technology and Intelligent Transport Systems.
    [Pre-print]
  • de Souza, F., Gurumurthy, K.M., Auld, J., and Kockelman, K.M. 2020. A Repositioning Method for Shared Autonomous Vehicles Operation. Presented online at the 9th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTRANS).
  • Gurumurthy, K.M., de Souza, F., Enam, A., and Auld, J. 2020. Large-Scale Simulation of Shared Autonomous Vehicles: Integrating the Supply and Demand Perspectives. Presented at the 99th Annual Meeting of the Transportation Research Board, Washington, D.C.
  • Gurumurthy, K.M., and Kockelman, K.M. 2020. Impacts of Shared Automated Vehicles on Airport Access & Operations, With Opportunities for Revenue Recovery: Case Study of Austin, Texas. Presented at the 99th Annual Meeting of the Transportation Research Board, Washington, D.C.
  • Gurumurthy, K.M., Kockelman, K.M., and Zuniga-Garcia, N. 2020. First-Mile-Last-Mile Collector-Distributor System using Shared Autonomous Mobility. Presented at the 99th Annual Meeting of the Transportation Research Board, Washington, D.C.
  • Becker, H., Becker, F., Abe, R., Bekhor, S., Belgiawan, P.F., Compostella, J., Frazzoli, E., Fulton, L.M., Garrick, N., Bicuda, D.G., Gurumurthy, K.M., Hensher, D.A., Joubert, J.W., Kockelman, K.M., Kroger, L., Kuhnimhof, T., Vine, S.L., Malik, J., Marczuk, K., Nasution, R.A., Rich, J., Carrone, A.P., Shen, D., Shiftan, Y., Tirachini, A., Verdis, D., Wong, Y.Z., Zhang, M., Bosch, P.M. and Axhausen, K.W. 2020. Impact of Vehicle Automation and Electric Propulsion on Production Costs for Mobility Services Worldwide. Presented at the 99th Annual Meeting of the Transportation Research Board, Washington, D.C.
  • Gurumurthy, K.M. and Kockelman, K. 2019. Modeling Americans’ Autonomous Vehicle Preferences: A Focus on Dynamic Ride-Sharing, Privacy & Long-Distance Mode Choices. Presented at the 98th Annual Meeting of the Transportation Research Board, Washington, D.C.
  • Gurumurthy, K.M., Kockelman, K. and Simoni, M.D. 2019. Benefits & Costs of Ride-Sharing in Shared Automated Vehicles across Austin, Texas: Opportunities for Congestion Pricing. Presented at the 98th Annual Meeting of the Transportation Research Board, Washington, D.C.
  • Simoni, Michele D., Kockelman, K., Gurumurthy, K.M. and Bischoff, J. 2019. Congestion Pricing in a World of Self-Driving Vehicles: An Analysis of Different Strategies in Alternative Future Scenarios. Presented at the 98th Annual Meeting of the Transportation Research Board, Washington, D.C.
  • Mahmoud, J., Auld, J., and Gurumurthy, K.M. 2019. Intra-Household Fully Automated Vehicles Assignment Problem: Model Development and Case Study. Presented at the 98th Annual Meeting of the Transportation Research Board.
  • Gurumurthy, K.M. and Kockelman, K. 2018. Analyzing the Dynamic Ride-Sharing Potential for Shared Autonomous Vehicle Fleets using Cellphone Data from Orlando, Florida. Presented at the 97th Annual Meeting of the Transportation Research Board, Washington, D.C.
  • Kotagi, P., Asaithambi, G. and Gurumurthy, K.M. 2018. Development of Microscopic Simulation Model for Bidirectional Mixed Traffic on Urban Roads. Presented at the 97th Annual Meeting of the Transportation Research Board in January, 2018.
  • Gurumurthy, K.M., Munigety, C.R., Peeta, S., Mathew, T.V. and Asaithambi, G. 2017. An Integrated Pedestrian Crossing Behavioural Model Using Spring-mass-damper Dynamics. Presented at the 96th Annual Meeting of the Transportation Research Board, Washington, D.C.
  • Gurumurthy, K.M., Singh, V. and Asaithambi, G. 2016. Microscopic Analysis of Lateral and Longitudinal Gaps in Mixed Traffic Conditions with Weak Lane Discipline. Presented at the 12th International Conference on Transportation Planning and Implementation Methodologies for Developing Countries (No. 46).
  • Munigety, C.R., Gupta, P.A., Gurumurthy, K.M., Peeta, S. and Mathew, T.V. 2016. Vehicle-type Dependent Car following Model Using Spring-mass-damper Dynamics for Heterogeneous Traffic. Presented at the 95th Annual Meeting of the Transportation Research Board, Washington, D.C.

  • Book Chapters & Technical Reports


  • Gurumurthy, K.M., Kockelman, K.M., and Loeb, B.J. 2019. Sharing Vehicles & Sharing Rides in Real Time: Opportunities for Self-Driving Fleets. Chapter Four in Advances in Transport Policy and Planning: The Sharing Economy and the Relevance for Transport 4: 59-85 (Ed. Elliot Fishman).
    [Book Chapter]   |   [Pre-print]
  • Levin, M., Bansal, P., Patel, R., Boyles, S., Kockelman, K.M., Singh, A., Fritz, H., Clements, L., Gurumurthy, K.M., and Quarles, N. 2018. Other Findings and Related Work. Chapter 18 in Smart Transport for Cities & Nations: The Rise of Self-Driving & Connected Vehicles (Eds. Kara Kockelman and Stephen Boyles). ISBN-10:0692121501, ISBN-13: 978-0692121504.
    [Pre-print]
  • Kockleman, K., Boyles, S., Sturgeon, P., Claudel, C., ... Gurumurthy, K.M., He, D., ... and Yarmohammadisatri, S. Phase 2 - Bringing Smart Transport to Texans: Ensuring the Benefits of a Connected and Autonomous Transport System in Texas - Final Report. Technical Report FHWA/TX-18/0-6838-3, TxDOT, CTR, UT Austin, TX, July 2018.
    [Report]
  • Kockelman, K., Loftus-Otway, L., Stewart, D., Nichols, A., Wagner, W., Boyles, S., Levin, M., Liu, J., Perrine, K., Kilgore, S., and Gurumurthy, K.M. Best Practices for Modifying Transportation Design, Planning, and Project Evaluation in Texas. Technical Report 0-6847-P1, TxDOT, CTR, UT Austin, TX, March 2017.
    [Report]

  • Presentations


  • Invited Speaker, at the SESYNC Pursuit: People, Land, Water and Fish - Integrating Social and Environmental Models in the Chesapeake Watershed held in Annapolis, Maryland, presentation titled "Modeling Emerging Modes and Advanced Policies in MATSim", 21-22 February, 2019.
  • Selected Speaker, at the TRB Workshop on Doctoral Research in Transportation Modeling and Travel Behavior held in Washington, D.C., presentation titled "A System of Shared Autonomous Vehicles for Chicago: Anticipating Impacts at Multiple Stages of Adoption", 13 January, 2019.
  • Invited Speaker, at the Machine Intelligence in Autonomous Vehicles Summit held in San Francisco, presentation titled “Anticipating a World of Shared Fully-Automated Vehicles” on behalf of Dr. Kara Kockelman, 23-24 March, 2017.