Birmingham, AL, USA

In this work, we introduce our approach to build a digital twin of the transportation in the medium-sized city of Birmingham, Alabama, USA. This digital twin is a transportation simulation model that incorporates transportation modes such as public transits and ride-hailing services, in addition to private vehicles that constitute the majority of Birmingham’s traffic. With this digital twin, transportation engineers can flexibly analyze the impact of ride-hailing services under different scenarios, such as “if the number of Uber drivers doubles” which could happen in the near future.

  • Realistic Urban Traffic Simulation with Ride-Hailing Services: A Revisit to Network Kernel Density Estimation (Systems Paper) Jalal Khalil, Da Yan, Lyuheng Yuan, Saugat Adhikari, Mostafa Jafarzadehfadaki, Virginia Sisiopiku and Zhe Jiang. International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2022)
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  • Traffic Study of Shared Micromobility Services by Transportation Simulation Jalal Khalil, Da YAN, Guimu Guo, Mirza Tanzim Sami, Joy Bhadhan Roy, Virginia P. Sisiopiku. IEEE BigData 2021
    DOI | YouTube

  • Realistic Transport Simulation: Tackling the Small Data Challenge with Open Data Guimu Guo, Jalal Khalil, Da Yan, and Virginia Sisiopiku. 2019 IEEE International Conference on Big Data (BTSD @ IEEE BigData 2019)