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Research Themes:

Multimodal Transportation Network Analysis

Transportation Safety

Emerging Technologies and Smart Transportation

Traffic Operations

Transportation Planning and Optimization

Equitable Mobility

Infrastructure Operation and Maintenance

Civil Infrastructure Sustainability and Resilience

Artificial Intelligence

Computer Vision

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NEWS

TransAnalytics Researchers Awarded Project to Explore Use of LiDAR Data and Machine Learning to Monitor Pavement Markings

The research team will investigate innovative approaches using machine learning to leverage large datasets from LiDAR and measure retroreflectivity from pavement markings. Outcomes from this project are expected to support monitoring programs to assess roadway maintenance and meet requirements from FHWA. This project is sponsored by the Utah DOT and will be executed in Fall/23.

06/2023

TransAnalytics research awarded funding from the National Science Foundation

A new project is awarded to TransAnalytics from the NSF. The project is titled: Integrating and Learning on Spatial Data via Multi-Agent Simulation. This project will build metro-scale foundation models for studying human mobility and will allow social-technical spatial scientists to compare against and study human mobility in aggregate and at scale. Exemplar studies will address EV charging, and fair traffic policing. The project will train next-generation spatial scientists at the interface of civil engineering and data science. Details of the project can be found at: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2311954&HistoricalAwards=false

06/2023

New journal articles published by the TransAnalytics researchers

Over the past several months, the TransAnalytics researchers have published a series of journal articles in different fields, ranging from electrified mobility, transportation-energy modeling, racial segregation, to compter vision applications. See below for the list of our recent publications, and check our Publications section for details!

  • X. Liu, X. Liu, C. Xie & X. Ma (2023). Impacts of photovoltaic and energy storage system adoption on public transport: A simulation-based optimization approach. Renewable and Sustainable Energy Reviews. Vol. 181.
  • Y. Zhou, R. Wei, X. Liu, D. Wallace & T. Grubesic (2023). Delineating race-specific driving patterns for identifying racial segregation. Transportation Research Part D: Transport and Environment. Vol. 119.
  • X. Liu, X. Liu, Z. Liu, R. Shi & X. Ma (2023). A solar-powered bus charging infrastructure location problem under charging service degradation. Transportation Research Part D: Transport and Environment. Vol. 119.
  • Z. Yi, B. Chen, X. Liu, R. Wei, J. Chen & Z. Chen (2023). An agent-based modeling approach for public charging demand estimation and charging station location optimization at urban scale. Computers, Environment and Urban Systems. Vol. 101.
  • D. Wallace, E. Helderop, T. Grubesic, J. Walker, X. Liu, R. Wei, Y. Zhou & C. Stewart (2023). A two-step process to increase successful geocoding in publicly available police stop data. Police Practice and Research. 1-7.
  • Rahman, M. H., Chen, S., Sun, Y., Siddiqui, M. I. Y., Mohebbi, M., & Marković, N. (2023). Integrating dial-a-ride with transportation network companies for cost efficiency: A Maryland case study. Transportation Research Part E: Logistics and Transportation Review, 175, 103140.
  • Farhadmanesh, M., Marković, N., & Rashidi, A. (2023). Automated video-based air traffic surveillance system for counting general aviation aircraft operations at non-towered airports. Transportation research record, 2677(3), 250-273.
  • Z. Dai, X. Liu, H. Li, M. Wang & X. Ma (2022). Semi-autonomous bus platooning service optimization with surrogate modeling. Computer & Industrial Engineering.
  • X. Liu, X.C. Liu, X. Zhang, Y. Zhou, J. Chen & X. Ma (2022). Optimal Location Planning of Electric Bus Charging Stations with Integrated Photovoltaic and Energy Storage System. Computer-aided civil & infrastructure engineering.
  • Z. Ye, N. Yu, R. Wei & X.C. Liu (2022). Decarbonizing Regional Multi-modal Transportation System With Shared Electric Charging Hub. Transportation Research Part C: Emerging Technologies. Vol. 144.
  • Farhadmanesh, M., Rashidi, A., & Marković, N. (2022). General Aviation Aircraft Identification at Non-Towered Airports Using a Two-Step Computer Vision-Based Approach. IEEE Access, 10, 48778-48791.
  • Sheibani, M., Wang, Y., Ou, G., & Marković, N. (2022). Efficient Structural Reconnaissance Surveying for Regional Postseismic Damage Inference with Optimal Inspection Scheduling. Journal of Engineering Mechanics, 148(2), 04021156.
  • Chen, Y., Marković, N., Ryzhov, I. O., & Schonfeld, P. (2022). Data-driven robust resource allocation with monotonic cost functions. Operations Research, 70(1), 73-94.
  • 05/2023

    TransAnalytics received funding from the Department of Energy

    TransAnalytics researcher is part of the team led by the Utah State University to receive funding from the DOE for zero-emission medium- and heavy duty vehicle corridors. The project is titled the Wasatch Front Multimodal Corridor Electrification Plan, and plans to develop a community, state and industry action plan to improve air quality in communities most impacted by high-density traffic in the greater Salt Lake City region.

    04/2023

    TransAnalytics faculty awarded the TSL Best Paper Award

    Nikola Marković, a faculty member at TransAnalytics, was honored with the prestigious 2022 TSL Best Paper Award at the annual INFORMS conference. The award recognizes exceptional contributions to the field of transportation science and logistics. Marković's paper, titled "Robust resource allocation for monotonic cost functions," was published in Operations Research and presents a groundbreaking methodological framework for robust optimization—a rapidly evolving field.

    04/2023

    TransAnalytics student awarded competitive scholarship

    Yirong Zhou, a Ph.D. candidate working at TransAnalytics, was recently awarded a scholarship from the Utah Institute of Transportation Engineers. Winners of the $500 scholarships are selected based on outstanding scholarship, work experience, and activity within their student section of ITE. Yirong’s research focuses on data-driven transportation engineering, including operation research, optimization, machine learning, and spatiotemporal analysis and simulation. Congratulations to Yirong!

    04/2023

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    Last Updated: July 6, 2023

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