ITS Publications - The Institute of Transportation Studies at UC Irvine

published journal article | December 31, 2025

published journal article | July 2025

Guoliang Feng, Yiqiao Li, Andre Y.C. Tok and Stephen G. Ritchie (2025) “Infrastructure-based sensor fusion for acquiring gross vehicle weight rating classifications”, Transportation Research Interdisciplinary Perspectives, 32, p. 101535.

published journal article | December 31, 2025

published journal article | January 2025

Yiqiao Li, Andre Y. C. Tok and Stephen G. Ritchie (2025) “Adaptive Self-Learning Framework for Resilient Vehicle Classification Through the Integration of Inductive Loops and LiDAR Sensors”, IEEE Open Journal of Intelligent Transportation Systems, 6, pp. 768–780.

conference paper | May 24, 2026

conference paper | January 2025

Guoliang Feng, Yiqiao Li, Andre Tok and Stephen G. Ritchie (2025) “Advancing Gross Vehicle Weight Rating Classification Through the Integration of Inductive Loop and Side Fire Camera System”, in Proceedings, 104th Annual Meeting of the Transportation Research Board. Washington, D.C..

published journal article | December 31, 2025

published journal article | September 2024

Yiqiao Li, Andre Y. C. Tok, Guoliang Feng and Stephen G. Ritchie (2024) “Real-time truck characterization system: A pilot implementation of the Freight Mobility Living Laboratory (FML2)”, Transportation Research Interdisciplinary Perspectives, 27, p. 101212.

conference paper | November 13, 2025

conference paper | February 2024

Yiqiao Li, Andre Tok and Stephen G. Ritchie (2024) “A Deep Learning Approach for Drayage Truck Identification Using Inductive Loops”, in 2024 Forum for Innovative Sustainable Transportation Systems (FISTS). 2024 Forum for Innovative Sustainable Transportation Systems (FISTS), pp. 1–6.

conference paper | November 26, 2025

conference paper | January 2024

Xingwei Liu, Yiqiao Li, Langting Sizemore, Xiaohui Xie and Jun Wu (2024) “A Deep-Learning Approach to Detect and Classify Heavy-Duty Trucks in Satellite Images”. Transportation Research Board 103rd Annual Meeting.

published journal article | October 21, 2025

published journal article | January 2024

Xingwei Liu, Yiqiao Li, Langting Sizemore, Xiaohui Xie and Jun Wu (2024) “A Deep-Learning Approach to Detect and Classify Heavy-Duty Trucks in Satellite Images”, IEEE Transactions on Intelligent Transportation Systems, pp. 1–16.

research report | October 21, 2025

research report | August 2023

Stephen Ritchie, Andre Tok and Yiqiao Li (2023) Improved California Truck Traffic Census Reporting and Spatial Activity Measurement.

published journal article | January 01, 2026

published journal article | June 2023

Yiqiao Li, Andre Y. C. Tok, Zhe Sun, Stephen G. Ritchie and Koti Reddy Allu (2023) “LiDAR Vehicle Point Cloud Reconstruction Framework for Axle-Based Classification”, IEEE Sensors Journal, 23(11), pp. 11168–11180.

research report | December 31, 2025

research report | January 2023

Stephen G. Ritchie, Andre Tok, Yiqiao Li, Zhe Sun and Koti Reddy Allu (2023) Investigation of LiDAR Sensing Technology to Improve Freeway Traffic Monitoring. Research Report. ITS-Irvine.

book/book chapter | December 31, 2025

book/book chapter | January 2023

Yiqiao Li, Andre Tok, Guoliang Feng and Stephen G. Ritchie (2023) “Understanding and Modeling the Impacts of COVID-19 on Freight Trucking Activity”, in A. Loukaitou-Sideris, A.M. Bayen, G. Circellaand R. Jayakrishnan (eds.) Pandemic in the Metropolis: Transportation Impacts and Recovery. Cham: Springer International Publishing (Springer Tracts on Transportation and Traffic), pp. 113–128.

conference paper | December 13, 2025

conference paper | January 2023

Guoliang Feng, Yiqiao Li, Andre Tok and Stephen G. Ritchie (2023) “An Investigation of Classification by Gross Vehicle Weight Rating Categories using Advanced Single Inductive Loops”, in 102nd Annual Meeting of the Transportation Research Board, Washington, D.C..

conference paper | December 31, 2025

conference paper | January 2023

Yiqiao Li, Andre Tok, Guoliang Feng and Stephen G. Ritchie (2023) “Real-time Truck Characterization System: A Pilot Implementation of the Freight Mobility Living Laboratory (FML2)”. 102nd Transportation Research Board Annual Meeting 2023.

published journal article | October 21, 2025

published journal article | March 2022

Yiqiao Li, Andre Tok and Stephen G. Ritchie (2022) “Deep Ensemble Neural Network Approach for Federal Highway Administration Axle-Based Vehicle Classification Using Advanced Single Inductive Loops”, Transportation Research Record, 2676(3), pp. 1–16.

conference paper | December 31, 2025

conference paper | January 2022

Yiqiao Li, Andre Tok and Stephen Ritchie (2022) “A Self-Learning Framework for Vehicle Classification System through the Integration of Advanced Inductive Loops and Multi-array LiDAR Sensors”. 101st Annual Meeting of the Transportation Research Board.

conference paper | October 21, 2025

conference paper | January 2022

Yiqiao Li, Andre Tok, Zhe Sun, Stephen G. Ritchie and Koti Reddy Allu (2022) “LiDAR Vehicle Point Cloud Reconstruction Framework for Axle-Based Classification”. 101st Annual Meeting of the Transportation Research Board.

published journal article | May 10, 2026

published journal article | December 2021

Yiqiao Li, Koti Reddy Allu, Zhe Sun, Andre Y. C. Tok, Guoliang Feng and Stephen G. Ritchie (2021) “Truck body type classification using a deep representation learning ensemble on 3D point sets”, Transportation Research Part C: Emerging Technologies, 133, p. 103461.

research report | October 21, 2025

research report | September 2021

Stephen G. Ritchie, Andre Tok, Yiqiao Li, Jared Sun and Koti R Allu (2021) Investigation of Truck Data Collection using LiDAR Sensing Technology Along Rural Highways. PSR-19-51.

working paper | March 19, 2026

working paper | August 2021

Yiqiao Li, Andre Tok, Zhe Sun, Stephen G. Ritchie and Koti Reddy Allu (2021) Vehicle Point Cloud Reconstruction Framework for FHWA axle-based Classification using Roadside LiDAR Sensor. Working Paper. Institute of Transportation Studies, Irvine.

conference paper | May 13, 2026

conference paper | January 2021

Yiqiao Li, Koti R Allu, Zhe Sun, Andre Tok, Guoliang Feng and Stephen G. Ritchie (2021) “An Ensemble Approach to Truck Body Type Classification using Deep Representation Learning on 3D Point Sets”. 100th Transportation Research Board (TRB) Annual Meeting, Washington, DC.