Publications

Selected Publications.

2024

  1. A Deep Learning Approach for Drayage Truck Identification Using Inductive Loops
    Yiqiao Li, Andre Tok, and Stephen G. Ritchie
    In 2024 Forum for Innovative Sustainable Transportation Systems, FISTS 2024, 2024
    DOI
  2. A Deep-Learning Approach to Detect and Classify Heavy-Duty Trucks in Satellite Images
    Xingwei Liu, Yiqiao Li, Langting Sizemore, and 2 more authors
    IEEE Transactions on Intelligent Transportation Systems, 2024
    DOI
  3. Real-time truck characterization system: A pilot implementation of the Freight Mobility Living Laboratory (FML2)
    Yiqiao Li, Andre Y.C. Tok, Guoliang Feng, and 1 more author
    Transportation Research Interdisciplinary Perspectives, Sep 2024
    DOI

2023

  1. LiDAR Vehicle Point Cloud Reconstruction Framework for Axle-Based Classification
    Yiqiao Li, Andre Y.C. Tok, Zhe Sun, and 2 more authors
    IEEE Sensors Journal, Jun 2023
    DOI
  2. Understanding and Modeling the Impacts of COVID-19 on Freight Trucking Activity
    Yiqiao Li, Andre Tok, Guoliang Feng, and 1 more author
    Jun 2023
    DOI

2022

  1. Deep Ensemble Neural Network Approach for Federal Highway Administration Axle-Based Vehicle Classification Using Advanced Single Inductive Loops
    Yiqiao Li, Andre Tok, and Stephen G. Ritchie
    Transportation Research Record, Jun 2022
    DOI

2021

  1. Truck body type classification using a deep representation learning ensemble on 3D point sets
    Yiqiao Li, Koti Reddy Allu, Zhe Sun, and 3 more authors
    Transportation Research Part C: Emerging Technologies, Jun 2021
    DOI

2019

  1. Individual Truck Speed Estimation from Advanced Single Inductive Loops
    Yiqiao Li, Andre Y.C. Tok, and Stephen G. Ritchie
    Transportation Research Record, Jun 2019
    DOI