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Journal Articles

1. 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. Available at: 10.1016/j.trip.2025.101535. [ITS-Irvine record]
2. 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. Available at: 10.1109/OJITS.2025.3575808. [ITS-Irvine record]
3. 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. Available at: 10.1016/j.trip.2024.101212. [ITS-Irvine record]
4. 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. Available at: 10.1109/TITS.2024.3431452. [ITS-Irvine record]
5. 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. Available at: 10.1109/JSEN.2023.3235301. [ITS-Irvine record]
6. 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. Available at: 10.1177/03611981211049142. [ITS-Irvine record]
7. 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. Available at: 10.1016/j.trc.2021.103461. [ITS-Irvine record]
8. Yiqiao Li, Andre Y.C. Tok and Stephen G. Ritchie (2019) “Individual truck speed estimation from advanced single inductive loops”, Transportation Research Record, 2673(5), pp. 272–284. Available at: 10.1177/0361198119841289. [ITS-Irvine record]

Conference Papers

1. 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.. [ITS-Irvine record]
2. 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. Available at: 10.1109/FISTS60717.2024.10485535. [ITS-Irvine record]
3. 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. [ITS-Irvine record]
4. 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. [ITS-Irvine record]
5. 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.. [ITS-Irvine record]
6. 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. [ITS-Irvine record]
7. Yiqiao Li, Andre Tok and Stephen Ritchie (2021) “A Deep Ensemble Neural Network Approach for FHWA Axle-based Vehicle Classification using Advanced Single Inductive Loops”. 100th Annual Meeting of the Transportation Research Board (TRB). Available at: https://escholarship.org/uc/item/4sf4v88g (Accessed: October 11, 2023). [ITS-Irvine record]
8. 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. [ITS-Irvine record]
9. Yiqiao Li (2020) “Lightning talk: Enhancing truck activity monitoring through the integration of bluetooth and inductive loop signature data”, in Proceedings of the 99th annual meeting of the transportation research board. [ITS-Irvine record]

Theses and Dissertations

1. Yiqiao Li (2021) Resilient Spatiotemporal Truck Monitoring Framework using Inductive Signature and 3D Point Cloud-based Technologies. Ph.D.. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991035329559604701 (Accessed: October 12, 2023). [ITS-Irvine record]

Books and Book Chapters

1. 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. Available at: https://doi.org/10.1007/978-3-031-00148-2_8 (Accessed: October 5, 2023). [ITS-Irvine record]

Technical Reports

1. Stephen Ritchie, Andre Tok and Yiqiao Li (2023) Improved California Truck Traffic Census Reporting and Spatial Activity Measurement. Available at: http://escholarship.org/uc/item/0hg3x790. [ITS-Irvine record]
2. 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. Available at: https://metrans.org/assets/research/psr%2021-34_ritchie_final%20report.pdf. [ITS-Irvine record]
3. 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. Available at: https://metrans.org/assets/research/uci-19-51-ritchie_final-report.pdf (Accessed: October 11, 2023). [ITS-Irvine record]

Working Papers

1. 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. Available at: https://escholarship.org/uc/item/2jf86859. [ITS-Irvine record]