Articles
Yang Y., Xu N., and Yang J. (2025) Structured Prompting and Multi-Agent Knowledge Distillation for Traffic Video Interpretation and Risk Inference. http://arxiv.org/abs/2508.13439
Yang Y., Xu N., and Yang J. (2025) Multi-Agent Visual-Language Reasoning for Comprehensive Highway Scene Understanding. http://arxiv.org/abs/2508.17205
Zhen H. and Yang J. (2025) CrashSage: A Large Language Model-Centered Framework for Contextual and Interpretable Traffic Crash Analysis. Artificial Intelligence for Transportation, Volumes 3–4, November 2025, 100030. https://doi.org/10.1016/j.ait.2025.100030
Bian J. and Yang J. (2025) Smart Street Lighting Powered by Renewable Energy: A Multi-Criteria, Data-Driven Decision Framework. Sustainability, 17(13); https://doi.org/10.3390/su17135874
Zhen H. and Yang J. (2025) Tab-Text: Bridging Tabular Data and Natural Language for Enhanced Traffic Safety Analysis and Modeling. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2025.128450
Lares O., Zhen H., and Yang J. (2025) Feature group tabular transformer: a novel approach to traffic crash modeling and causality analysis. Applied Computing and Intelligence, 2025, 5(1): 29-56. https://doi.org/10.3934/aci.2025003
Xu N. and Yang J. (2025) Leveraging Scene Geometry and Depth Information for Robust Image Deraining. Computers, 14(1), 11. https://doi.org/10.3390/computers14010011
Yang Y., Zhen H., Huang Y., and Yang J. (2025) Enhancing nighttime vehicle detection with day-to-night style transfer and labeling-free augmentation. Applied Computing and Intelligence, 5(1): 14-28. https://doi.org/10.3934/aci.2025002
Seferian M. and Yang J. (2024) Enhancing autonomous vehicle safety in rain: a data centric approach for clear vision. Applied Computing and Intelligence, 4(2): 282-299. https://doi.org/10.3934/aci.2024017
Zhen H., Lares O., Fortson J. C., Yang J., Li W., and Conklin E. (2024) Unraveling the dynamics of single-vehicle versus multi-vehicle crashes: a comparative analysis through binary classification. Applied Computing and Intelligence, 4(2): 349-369. https://doi.org/10.3934/aci.2024020
Yang Y., Zhen H., and Yang J. (2024) An Information Gradient Approach to Optimizing Traffic Sensor Placement in Statewide Networks. Information 2024, 15, 654. https://doi.org/10.3390/info15100654
Huang Y., Zhen H., and Yang J. (2024) Cluster-guided denoising graph auto-encoder for enhanced traffic data imputation and fault detection, Expert Systems with Applications, Volume 261, https://doi.org/10.1016/j.eswa.2024.125531
Zhen H. and Yang J. (2024) Analyzing the Importance of Network Topology in AADT Estimation: Insights from Travel Demand Models Using Graph Neural Networks, Transportation. https://doi.org/10.1007/s11116-024-10536-y
Zhen H., Shi Y., Huang Y., Yang J., and Liu N. (2024) Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and Inference, Computers 2024, 13(9), 232. https://doi.org/10.3390/computers13090232
Deng P., Yang J., and Yee T. (2024) Deep Learning-Based Flood Detection for Bridge Monitoring Using Accelerometer Data. Infrastructures 2024, 9(9), 140. https://doi.org/10.3390/infrastructures9090140
Huang Y. and Yang J. (2024) Symmetric contrastive learning for robust fault detection in time-series traffic sensor data. International Journal of Data Science and Analytics. https://doi.org/10.1007/s41060-024-00521-0
Ma S., Yang J., Chorzepa M., Morris C., Kim S., and Durham S. (2024) Composite Deep Learning Architecture for Vehicle Classification Using Vision Transformers and Wheel Position Features, SN Computer Science. https://link.springer.com/article/10.1007/s42979-023-02569-4
Abdelmawla A., Yang J., and Kim S. (2024) Field Validation of Deep-Learning-Based Ground Penetrating Radar Image Analysis for Advancing Subsurface Distress Detection, Journal of the Transportation Research Board: Transportation Research Record, https://doi.org/10.1177/03611981241242072
Gang Su and Yang J. (2024) Enhancing the Robustness of Traffic Signal Control with StageLight: A Multiscale Learning Approach. Eng 2024, 5(1), 104-115; https://doi.org/10.3390/eng5010007
Yang Y. and Yang J. (2023) Strategic Sensor Placement in Expansive Highway Networks: A Novel Framework for Maximizing Information Gain. Systems, 11(12), 577; https://doi.org/10.3390/systems11120577
Zhen H., Shi Y., Yang J., and Vehni J. M. (2023) Co-supervised Learning Paradigm with Conditional Generative Adversarial Networks for Sample-efficient Classification, Applied Computing and Intelligence, Volume 3(1): 13-26. https://www.aimspress.com/article/doi/10.3934/aci.2023002
Ma S. and Yang J. (2023) Image-Based Vehicle Classification by Synergizing Features from Supervised and Self-Supervised Learning Paradigms, Eng 4(1), 444-456. https://doi.org/10.3390/eng4010027
Abdelmawla A., Ma S., Yang J., and Kim S. (2023) Subsurface Anomaly Detection Utilizing Synthetic GPR Images and Deep Learning Model. Geomechanics and Engineering, 33(2): 203-209 https://doi.org/10.12989/gae.2023.33.2.203
Kazemian A., Yee T., Oguzmert M., Amirgholy M., Yang J., and Goff D. (2023) A Review of Bridge Scour Monitoring Techniques and Developments in Vibration Based Scour Monitoring for Bridge Foundations. Advances in Bridge Engineering, 4(2). https://doi.org/10.1186/s43251-023-00081-6
Huang Y. and Yang J. (2022) Semi-supervised Multiscale Dual-encoding Method for Faulty Traffic Data Detection, Applied Computing and Intelligence, 2(2). https://www.aimspress.com/article/doi/10.3934/aci.2022006
Sinha A., Chorzepa, M., Yang J., Kim S., and Durham S. (2022) Enhancing Reliability Analysis with Multisource Data: Mitigating Adverse Selection Problems in Bridge Monitoring and Management, Applied Sciences, 2022, 12(20), 10359; https://doi.org/10.3390/app122010359
Sinha A., Chorzepa, M., Yang J., Kim S., and Durham S. (2022) Deep Learning-Based Temporal Prediction Approach for Mitigating Dynamic Inconsistency in Monitoring Vehicular Live Loads Imposed on Roads and Bridges, Infrastructures https://www.mdpi.com/2412-3811/7/11/150
Morris C., Yang J., Chorzepa M. G., Kim S., and Durham S. A. (2022) Self-Supervised Deep Learning Framework for Anomaly Detection in Traffic Data, Journal of Transportation Engineering – Part A, 148 (5). https://ascelibrary.org/doi/abs/10.1061/JTEPBS.0000666
Sinha A., Chorzepa M. G., Yang J., Kim S., and Durham S. A. (2022) Cognitive Approaches to Hyperbolic Discounting of High-Impact Low-Probability Bridge Overload Events and Live-Load Factors, Journal of Performance of Constructed Facilities, 36 (2). https://ascelibrary.org/doi/10.1061/%28ASCE%29CF.1943-5509.0001709
Lu W., Liu J., Fu X., Yang J., and Jones S. (2022) Integrating Machine Learning into Path Analysis for Quantifying Behavioral Pathways in Bicycle-Motor Vehicle Crashes. Accident Analysis and Prevention, Volume 168, 106622. https://doi.org/10.1016/j.aap.2022.106622
Morris C. and Yang J. (2021) A Machine Learning Model Pipeline for Detecting Wet Pavement Condition from Live Scenes of Traffic Cameras. Machine Learning with Applications, Volume 5, 100070. https://doi.org/10.1016/j.mlwa.2021.100070
Morris C. and Yang J. (2021) Effectiveness of Resampling Methods in Coping with Imbalanced Crash Data: Crash Type Analysis and Predictive Modeling. Accident Analysis and Prevention, Volume 159, 106240. https://doi.org/10.1016/j.aap.2021.106240
Tahaei N., Yang J., Chorzepa M. G., Kim S., and Durham S. A. (2021) Machine learning of Truck Traffic Classification groups from Weigh-in-Motion data. Machine Learning with Applications, Volume 6, 100178. https://doi.org/10.1016/j.mlwa.2021.100178
Worthey H., Yang J., and Kim S. (2021) Tree-Based Ensemble Methods: Predicting Asphalt Mixture Dynamic Modulus for Flexible Pavement Design, KSCE Journal of Civil Engineering https://link.springer.com/article/10.1007/s12205-021-2306-9
Pahno S., Yang J., and Kim S. (2021) Use of Machine Learning Algorithms to Predict Subgrade Resilient Modulus. Infrastructures 6(6), 78; https://doi.org/10.3390/infrastructures6060078
Iman S. H.; Christian J., Kim S. S., Sutter L. A., Durham S. A., Yang J., and Vickery C. G. (2021) Use of Random Forest Model to Identify the Relationships Among Vegetative Species, Salt Marsh Soil Properties, and Interstitial Water along the Atlantic Coast of Georgia. Infrastructures 6(5), 70; https://doi.org/10.3390/infrastructures6050070 https://www.mdpi.com/2412-3811/6/5/70/htm
Iman S. H., Kim S. S., Sutter L. A., Christian J., Durham S. A., and Yang J. (2021) Machine Learning Approach to Identify the Relationship Between
Heavy Metals and Soil Parameters in Salt Marshes. International Journal of Environmental Sciences & Natural Resources. 27(5); DOI: 10.19080/IJESNR.2021.27.556224
Kwon J., Seo Y., Yang J., and Kaplan A. (2020) Field and Numerical Investigation of Full Depth Reclamation with Portland Cement in Georgia, Transportation Geotechnics, 10.1016/j.trgeo.2020.100465 https://www.sciencedirect.com/science/article/abs/pii/S2214391220303536
Morris C. and Yang J. (2020) Understanding Multi-Vehicle Collision Patterns on Freeways—A Machine Learning Approach. Infrastructures 2020, 5(8), 62; https://doi.org/10.3390/infrastructures5080062. https://www.mdpi.com/2412-3811/5/8/62/htm
Kim S., Yang J., and Etheridge A. R. (2018) Effects of Mix Design Variables on Flexibility Index of Asphalt Concrete Mixtures. International Journal of Pavement Engineering, https://doi.org/10.1080/10298436.2018.1538514.
Yang J. and Zuo B. (2018) Performance of Wireless Magnetometers for Stop Bar Detection at Signalized Intersections. Journal of the Transportation Research Board, National Research Council of the National Academies, https://doi.org/10.1177/0361198118796068.
Yang J., Pe-Tseskme L., and Kim S. (2018) Use of Conditional Inference Trees for Evaluating Effects of Reclaimed Asphalt Pavement (RAP) Content and Binder Grade on the Dynamic Modulus of Asphalt Concrete Mixtures. International Journal of Pavement Research and Technology, https://doi.org/10.1016/j.ijprt.2018.02.002.
Raessler A. and Yang J. (2017) Derivation of Decision Boundaries for Left-Turn Treatments at Signalized Intersections, Journal of the Transportation Research Board, National Research Council of the National Academies, DOI: 10.3141/2620-01.
Norouzi A, Kim R. Y., Kim S., and Yang J. (2017) Effect of Reclaimed Asphalt Pavement (RAP) Content and Binder Grade on Fatigue Resisting Performance of Asphalt Mixtures in Georgia. ASCE’s Journal of Materials in Civil Engineering, DOI: 10.1061/(ASCE)MT.1943-5533.0001960.
Yang J. and Zuo B. (2017) Performance of Smart Sensor Detectors for Stop-Bar Detection at Signalized Intersections, Journal of Transportation Engineering, Part A: Systems, 143(6), DOI: 10.1061/JTEPBS.0000045.
Yang J., Zuo B., and Kim S. (2016) Understanding the Factors Underlying Variation in Detection Errors of Video and Thermal Imaging Cameras, Journal of the Transportation Research Board, National Research Council of the National Academies, DOI:10.3141/2557-06.
Kim S., McFall K., Kwon J., Yang J., and Jeong J. (2015) Use of Linear Viscoelastic Theory to Predict Resilient Behavior of Unbound Granular Materials, KSCE Journal of Civil Engineering, DOI: 10.1007/s12205-015-0129-2.
Kim S., Yang J., and Kwon J. (2015) Effects of Using Screening Materials in the Graded Aggregate Base Layer of Flexible Pavements, International Journal of Pavement Engineering, DOI:10.1080/10298436.2015.1036868.
Kim S., Yang J., Nam B., and Jeong J. (2015) Effect of Materials and Age on the Coefficient of Thermal Expansion of Concrete Paving Mixture, Road Materials and Pavement Design, DOI:10.1080/14680629.2015.1020844.
Gunaratne M, Lu Q, Yang J, Metz J, Jayasooriya W, Yassin M, Amarasiri S. (2015) Hydroplaning Field Study, Accident Reconstruction Journal, 25(1), 23-25.
Yang J. and Kim S. H. (2014) Investigating the Performance of As-Build and Overlaid Pavements – A Competing Risks Approach, International Journal of Pavement Engineering, DOI:10.1080/10298436.2014.937808.
Yang J. and Kim S. H. (2014) Factorial Effects of Mix Design Variables on the Coefficient of Thermal Expansion of Concrete Mixture. Road Materials and Pavement Design, DOI:10.1080/14680629.2014.920272
Kim S. H., Yang J., and Jeong J. H. (2013) Prediction of Subgrade Resilient Modulus Using Artificial Neural Networks, KSCE Journal of Civil Engineering, 18(5), 1372-1379.
Yang J., Winkle V. J., and Meyer S. (2012) Upgrading City-Wide Traffic Signal System over Broadband Wireless Mesh Networks. ITE Journal, 28(11), 29-33.
Yang J. (2011) Nested Markov Decision Framework for Coordinating Pavement Improvement with Capacity Expansion. Journal of Transportation Engineering, 138(4), 387–394.
Yang J. and Zhou H. (2011) Integrating Left-Turn Lane Geometric Design with Signal Timing. Journal of Transportation Engineering, 137(11), 767-774.
Yang J. (2011) Forecasting Pavement Remaining Service Life with Limited Causal Data. International Journal of Pavement Research and Technology, 4(5), 301-306.
Zhou H., Yang J., Hsu P., and Chen S. (2010) Factors Affecting Students’ Walking/Biking Rates: Initial Findings from a Safe Route to School Survey in Florida. Journal of Transportation Safety & Security, 2(1), 14-27.
Nasseri S., Gunaratne M., Yang J., and Nazef A. (2009) Application of an Improved Crack Prediction Methodology in Florida’s Highway Network. Journal of the Transportation Research Board 2093, 67-75.
Yang J. (2008) Risk-Based Volume Warrants for Free Right Turn Lanes on Two-lane Roadways. Journal of Transportation Engineering, 134(4), 155-162.
Yang J., Lu J., Gunaratne M., and Dietrich B. (2006) Modeling the Crack Deterioration of Flexible Pavements – Comparison of Recurrent Markov Chains and Artificial Neural Networks. Journal of the Transportation Research Board 1974, 18-25.
Yang J., Gunaratne M., Lu J., and Dietrich B. (2005) Use of Recurrent Markov Chains for Modeling the Crack Performance of Flexible Pavements. Journal of Transportation Engineering, 131(11), 861-872.
Yang J., Lu J., Gunaratne M., and Xiang Q. (2003) Forecasting Overall Pavement Condition with Neural Networks – an application to Florida highway network. Journal of the Transportation Research Board 1853, 3-12.
Conference
Zhen H., Mosharafian S., Yang J., and Velni J. M. Eco-driving Trajectory Planning of a Heterogenous Platoon in Urban Environments, International Federation of Automatic Control (IFAC) Symposium on Advances in Automotive Control. https://arxiv.org/abs/2205.09618
Kim Y., Yang J., Diong B., and Yee T. Feasibility Study of a Novel Transit Vehicle Concept – Slim Modular Flexible Electric Bus Rapid Transit, ASCE International Conference on Transportation & Development (ICTD), Seattle, Washington (May 2020) https://ascelibrary.org/doi/10.1061/9780784483176.005
Giraldo P. and Yang J. A Comparative Study of Insertion Loss of Traffic Noise Barriers in Georgia, ASCE International Conference on Transportation & Development (ICTD), Seattle, Washington (May 2020) https://ascelibrary.org/doi/10.1061/9780784483138.012
Ginn M., Amuna F., Colmenares J.E. Stewart, A, Diong B., Wang Y., and Yang J. Conceptual Design and Prototyping of a Slim Semi-autonomous Bus Rapid Transit Vehicle, IEEE SoutheastCon Conference 2017, Charlotte NC.
Norouzi A, Kim R. Y., Kim S., Yang J., and Durham S. Effect of Reclaimed Asphalt Pavement Content and Binder Grade on Fatigue-Resisting Performance of Asphalt Mixtures in Georgia, Transportation Research Board 96th Annual Meeting, Paper No. 17-1733, National Research Council of the National Academies, Washington, D.C. (January 2017)
Yang J., Kim S., and Zuo B. Exploring Variation in Detection Errors of Wireless Magnetometers and Span Wire Cameras Using Conditional Inference Trees, Transportation Research Board 95th Annual Meeting, Paper No. 16-4690, National Research Council of the National Academies, Washington, D.C. (January 2016)
Choi, Y. T., Kim S., Rogers W.R., Little D.N., and Yang J. Effect of half-grade difference in Asphalt Binder on Dynamic Modulus and Performance of Asphalt Mixtures. Transportation Research Board 94th Annual Meeting, Paper No. 15-3048, National Research Council, Washington, D.C. (January 2015)
Kim S., Yang J., and Beadles S. Estimation of Graded Aggregate Base Resilient Modulus using Artificial Neural Networks”, ASCE T&DI Congress. (June 2014)
Yang J., Winkle V. J., and Meyer S. Operating City-wide Traffic Signal Systems over Broadband Wireless Mesh Network. 2012 Institute of Transportation Engineers South District and Great Lakes District Joint Annual Meeting, Lexington, Kentucky. (April 2012)
Yang J. A Heuristic Based Solution to the Roadway Maintenance and Rehabilitation Planning Problem. Transportation Research Board 91st Annual Meeting Compendium of Papers CD-ROM, Paper No. 12-2869, National Research Council, Washington, D.C. (January 2012)
Yang J. An Analytical Framework for Coordinating Infrastructure Management Decisions with Expansion Decisions. Transportation Research Board 88th Annual Meeting Compendium of Papers CD-ROM, Paper No. 09-0956, National Research Council, Washington, D.C. (January 2009)
Yang J. Development of Effective Remaining-Life Prediction Models for Pavement Management at the Network Level. Transportation Research Board 88th Annual Meeting Compendium of Papers CD-ROM, Paper No. 09-0960, National Research Council, Washington, D.C. (January 2009)
Yang J. Estimating Failure Probabilities of Flexible Pavements under Competing Risks. Transportation Research Board 87th Annual Meeting Compendium of Papers CD-ROM, Paper No. 08-0174, National Research Council, Washington, D.C. (January 2008)
Yang J., Oliver W., and Miller D. An Integrated Computational System for Roadway Crash Management. 2007 Institute of Transportation Engineers Annual Meeting and Exhibit – Compendium of Papers CD-ROM, Pittsburgh, Pennsylvania. (August 2007)
Yang J. Estimation of Pavement Lifespan Using Stochastic Duration Models. Transportation Research Board 86th Annual Meeting Compendium of Papers CD-ROM, Paper No. 07-1276, National Research Council, Washington, D.C. (January 2007)