Yiqiao Li

Assistant Professor

Main Affiliation

Civil Engineering

Additional Departments/Affiliated Programs

University Transportation Research Center

Areas of Expertise/Research

  • Artificial Intelligence in Transportation
  • Intelligent Transportation System
  • Traffic Monitoring
  • Transportation Data Science
  • Vehicle Characterization

Building

Steinman Hall

Office

109

Phone

212-650-7898

Email

yli4@ccny.cuny.edu

Yiqiao Li

Education & Degrees

Ph.D., University of California, Irvine, 2021

M.S., University of California, Irvine, 2017

B.S., Beijing University of Technology, Beijing, 2015

Scheduled Teaching

  • Transportation System Engineering (CE 32700) 
  • Traffic Engineering (CE H2000/52000)

 

Selected Publications

  1. Liu, X., Li, Y., Sizemore, L., Xie, X., Wu, J.*, 2024, A Deep Learning Approach to Understand the Heavy-Duty Truck Distribution using Satellite Images. IEEE Transaction on Intelligent Transportation System. (Accepted)
  2. Li, Y.*, Tok, A., Ritchie, S.G., 2024, IEEE Forum for Innovative Sustainable Transportation System. 10.1109/FISTS60717.2024.10485535
  3. Li, Y.*, Tok, A., Sun, Z., Ritchie, S.G., Allu, K., 2023. LiDAR Vehicle Point Cloud Reconstruction Framework for Axle-based Classification. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2023.3235301.
  4. Li, Y.*, Tok, A., Feng, G., Ritchie, S.G., 2023, Understanding and Modeling the Impacts of COVID-19 on Freight Trucking Activity. Pandemic in the Metropolis – Transportation Impacts and Recovery, Springer Tracts on Transportation and Traffic. https://doi.org/10.1007/978-3-031-00148-2_8
  5. Li, Y.*, Allu, K., Sun, Z., Tok, A., Feng, G., Ritchie, S. G., 2021. Truck Body Type Classification using a Deep Representation Learning Ensemble on 3D Point Sets. Transportation Research Part C. https://doi.org/10.1016/j.trc.2021.103461.
  6. Li, Y.*, Tok, A., Ritchie, S.G., 2021. A Deep Ensemble Neural Network Approach for FHWA Axle-based Vehicle Classification using Advanced Single Inductive Loops. Transportation Research Record. https://doi.org/10.1177/03611981211049142.
  7. Li, Y.*, Tok, A., Ritchie, S.G., 2019. Individual Truck Speed Estimation from Advanced Single Inductive Loops. Transportation Research Record. https://doi.org/10.1177/0361198119841289. (Best Paper Award)

Projects

1. Analyzing Cross-Boarder Truck Activity to Inform California's Transition to Zero-Emission Trucks

  • Sponsor: The California Resilient and Innovative Mobility Initiative
  • Role: Institutional PI (Subcontractor)
  • Year: 2024-2025

2. A Comprehensive Region 2 Transportation Research Needs Assessment Study

  • Sponsor: US DOT - UTC Region 2: Center for Social and Economic Mobility for People and Communities through Transportation (SEMPACT)
  • Role: Co-PI
  • Year: 2024-2025