Venu Garikapati

Venu Garikapati

Researcher IV-Decision Support Analysis


303-275-4784
Orcid ID https://orcid.org/0000-0003-1603-1883

Venu Garikapati joined NREL’s transportation research team in 2017 as a transportation data project leader. He manages the Transportation Secure Data Center and conducts innovative research on travel and the energy-related impacts of emerging transportation technologies (such as connected and automated vehicles) and transportation networking companies. An expert in the development of new analytical and computational modeling systems for forecasting travel demand under a wide variety of technological, multimodal, and policy scenarios, his research focuses on understanding the impacts of disruptive technologies on travel behavior and the role that big data analytics can play in enhancing the performance of transportation systems. Additionally, he played an instrumental role in developing the Mobility Energy Productivity Metric, Freight Mobility Energy Productivity Metric, and the toolkit for modeling and simulating automated mobility districts.

Research Interests

Activity-based travel behavior and time use analysis

Multimodal transportation planning and policy analysis

Travel demand modeling and forecasting

Econometric and statistical methods for transportation data analysis

Mobility and energy impacts of disruptive transportation technologies

Sustainable transportation and urban development

Education

Ph.D., Civil, Environmental, and Sustainable Engineering, Arizona State University

M. Tech., Civil Engineering, Indian Institute of Technology

B. Tech., Civil Engineering, Acharya Nagarjuna University

Professional Experience

Project Leader, Transportation Data Analytics, NREL (2017–Present)

Assistant Research Professor, Arizona State University (2016)

Postdoctoral Fellow, Georgia Institute of Technology (2015–2016)

Associations and Memberships

Member, Transportation Research Board’s Standing Committee on Effects of Information and Communication Technologies on Travel Choices

Member, Transportation Research Board’s Standing Committee on Statewide/National Transportation Data and Information Systems 

Member, Tau Beta Pi Engineering Honors Society

Featured Work

Use of Shared Automated Vehicles for First-Mile Last-Mile Service: Micro-Simulation of Rail-Transit Connections in Austin, Texas, Transportation Research Record, Journal of the Transportation Research Board (2021)

Reducing Ridesourcing Empty Vehicle Travel with Future Travel Demand Prediction, Transportation Research Part C: Emerging Technologies (2020)

An Optimization-Based Planning Tool for On-Demand Mobility Service Operations, International Journal of Sustainable Transportation (2020)

A Novel and Practical Method to Quantify the Quality of Mobility: The Mobility Energy Productivity Metric, Transportation Research Board Annual Conference (2020)

A Comprehensive Approach to Measure the Mobility Energy Productivity of Freight Transport, Transportation Research Board Annual Conference (2020)

Factors Influencing Willingness to Pool in Ride-Hailing Trips, Transportation Research Record, Journal of the Transportation Research Board (2020)

Decision Support Tool for Planning Neighborhood-Scale Deployment of Low-Speed Shared Automated Shuttles, Transportation Research Record, Journal of the Transportation Research Board (2020)

Mobility Data and Models Informing Smart Cities, NREL Technical Report (2019)

Airport Analyses Informing New Mobility Shifts: Opportunities to Adapt Energy-Efficient Mobility Services and Infrastructure, Intelligent Transportation Society of America Annual Meeting (2018)

Quantifying the Mobility and Energy Benefits of Automated Mobility Districts Using Microscopic Traffic Simulation, International Conference on Transportation and Development (2018)

View all NREL publications for Venu Garikapati.

Awards and Honors

Team Award for the Development of the Mobility Energy Productivity Metric, U.S. Department of Energy’s Vehicle Technologies Office (2019)

Best Poster Award for “Quantifying the Mobility and Energy Benefits of Automated Mobility Districts Using Microscopic Traffic Simulation,” American Society of Civil Engineers’ International Conference on Transportation and Development (2018)