Publications

My citation record and latest publication updates are available on Google Scholar.

Yuan, J. is shown in bold. An asterisk denotes corresponding authorship.

Book Chapter

  1. Xu, H., Yuan, J., Zhou, A., Xu, G., Li, W., Ban, X. J., and Ye, X. (2025). Generative Artificial Intelligence-Powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models and Retrieval-Augmented Generation with Intelligent Transportation Systems. In Urban Human Mobility: Practices, Analytics, and Strategies for Smart Cities, 123-137. CRC Press.

Peer-Reviewed Journal Articles

2026

  1. Luo, X., Xu, G., Saroj, A., Yuan, J., Kadav, P., Shao, Y., and Wang, C. (2026). Agentic Traffic Intelligence: Augmented Human-In-The-Loop Scenario Generation for Microscopic Traffic Simulation. Artificial Intelligence for Transportation, 6, 100057.

2025

  1. Yuan, J.*, LaClair, T., Wang, C., Li, W., Lim, H., Kadav, P., Berres, A., Xu, H., Ekti, A., Wang, H., Sanyal, J., and Zhang, G. (2025). Integrated Traffic Signal and Vehicle Speed Control for Improving Energy Efficiency and Reducing Congestion. Nature Communications. Conditionally accepted.

  2. Goulet, N., Yuan, J., Cook, A., Beck, J., Wang, C., Chen, J., Chen, H., and Li, E. (2025). Vehicle-in-the-Loop Testing for the Safety of Advanced Driver Assistance Systems: A Review. Accident Analysis & Prevention. In press.

  3. Das, D., Han, X., Zhou, A., Hogue, D., Di Russo, M., Yuan, J., Qiao, Z., Shen, S., Johnson, D., Stutenberg, K., Cook, A., Wang, C., Ma, J., and Liu, H. (2025). Distributed Testing for Transportation Research: Real-Time Cloud-Based Co-Simulation of Heterogeneous Cooperative Driving Systems with V2X Communication. IEEE Transactions on Intelligent Transportation Systems. In press.

2024

  1. Xu, H., Yuan, J.*, Berres, A., Shao, Y., Wang, C., Li, W., LaClair, T., Sanyal, J., and Wang, H. (2024). A Mobile Edge Computing Framework for Traffic Optimization at Urban Intersections Through Cyber-Physical Integration. IEEE Transactions on Intelligent Vehicles, 9(1), 1131-1145.

2023

  1. Moore, A., Yuan, J., Ou, S., Torres, J. R., Sujan, V., and Siekmann, A. (2023). Key Considerations in Assessing the Safety and Performance of Camera-Based Mirror Systems. Safety, 9(4), 73.

  2. Shi, Y., Wang, Z., LaClair, T. J., Wang, C., Shao, Y., and Yuan, J. (2023). A Novel Deep Reinforcement Learning Approach to Traffic Signal Control with Connected Vehicles. Applied Sciences, 13(4), 2750.

  3. Wang, X., Zhang, Q., Yang, X., Pei, Y., and Yuan, J. (2023). Traffic Safety Analysis and Model Updating for Freeways Using Bayesian Method. Journal of Transportation Safety & Security, 15(7), 737-759.

2022

  1. Mahmoud, N., Abdel-Aty, M., Cai, Q., and Yuan, J. (2022). Estimating Cycle-Level Real-Time Traffic Movements at Signalized Intersections. Journal of Intelligent Transportation Systems, 26(4), 400-419.

  2. Abdel-Aty, M., Wu, Y., Zheng, O., and Yuan, J. (2022). Using Closed-Circuit Television Cameras to Analyze Traffic Safety at Intersections Based on Vehicle Key Points Detection. Accident Analysis & Prevention, 176, 106794.

  3. Cheng, Z., Yuan, J., Yu, B., Lu, J., and Zhao, Y. (2022). Crash Risks Evaluation of Urban Expressways: A Case Study in Shanghai. IEEE Transactions on Intelligent Transportation Systems, 23(9), 15329-15339.

  4. Abdelraouf, A., Abdel-Aty, M., and Yuan, J. (2022). Utilizing Attention-Based Multi-Encoder-Decoder Neural Networks for Freeway Traffic Speed Prediction. IEEE Transactions on Intelligent Transportation Systems, 23(8), 11960-11969.

2021

  1. Li, Y., Li, M., Yuan, J., Lu, J., and Abdel-Aty, M. (2021). Analysis and Prediction of Intersection Traffic Violations Using Automated Enforcement System Data. Accident Analysis & Prevention, 162, 106422.

  2. Abdelrahman, A., Abdel-Aty, M., Yuan, J.*, and Al-Omari, M. E. M. (2021). Systematic Safety Evaluation of Diverging Diamond Interchanges Based on Nationwide Implementation Data. Transportation Research Record, 2675(9), 961-971.

  3. Wang, X., Pei, X., Yang, M., and Yuan, J. (2021). Meso-Level Hotspot Identification for Suburban Arterials. Accident Analysis & Prevention, 156, 106148.

  4. Yuan, J.*, Abdel-Aty, M., Fu, J., Wu, Y., Yue, L., and Eluru, N. (2021). Developing Safety Performance Functions for Freeways at Different Aggregation Levels Using Multi-State Microscopic Traffic Detector Data. Accident Analysis & Prevention, 151, 105984.

  5. Mahmoud, N., Abdel-Aty, M., Cai, Q., and Yuan, J. (2021). Predicting Cycle-Level Traffic Movements at Signalized Intersections Using Machine Learning Models. Transportation Research Part C: Emerging Technologies, 124, 102930.

  6. Islam, Z., Abdel-Aty, M., Cai, Q., and Yuan, J. (2021). Crash Data Augmentation Using Variational Autoencoder. Accident Analysis & Prevention, 151, 105950.

2020

  1. Li, P., Abdel-Aty, M., and Yuan, J. (2020). Using Bus Critical Driving Events as Surrogate Safety Measures for Pedestrian and Bicycle Crashes Based on GPS Trajectory Data. Accident Analysis & Prevention, 150, 105924.

  2. Gong, Y., Abdel-Aty, M., Yuan, J., and Cai, Q. (2020). Multi-Objective Reinforcement Learning Approach for Improving Safety at Intersections with Adaptive Traffic Signal Control. Accident Analysis & Prevention, 144, 105655.

  3. Yue, L., Abdel-Aty, M., Wu, Y., Yuan, J., and Morris, M. (2020). Influence of Pedestrian-to-Vehicle Technology on Drivers’ Response and Safety Benefits Considering Pre-Crash Conditions. Transportation Research Part F: Traffic Psychology and Behaviour, 73, 50-65.

  4. Yue, L., Abdel-Aty, M., Wu, Y., and Yuan, J. (2020). An Augmentation Function for Active Pedestrian Safety System Based on Crash Risk Evaluation. IEEE Transactions on Vehicular Technology, 69(11), 12459-12469.

  5. Cai, Q., Abdel-Aty, M., Yuan, J., Lee, J., and Wu, Y. (2020). Real-Time Crash Prediction on Expressways Using Deep Generative Models. Transportation Research Part C: Emerging Technologies, 117, 102697.

  6. Yuan, J.*, Abdel-Aty, M., Yue, L., and Cai, Q. (2020). Modeling Real-Time Cycle-Level Crash Risk at Signalized Intersections Based on High-Resolution Event-Based Data. IEEE Transactions on Intelligent Transportation Systems, 22(11), 6700-6715.

  7. Xing, L., He, J., Abdel-Aty, M., Wu, Y., and Yuan, J. (2020). Time-Varying Analysis of Traffic Conflicts at the Upstream Approach of Toll Plaza. Accident Analysis & Prevention, 141, 105539.

  8. Zhang, S., Abdel-Aty, M., Yuan, J., and Li, P. (2020). Prediction of Pedestrian Crossing Intentions at Intersections Based on Long Short-Term Memory Recurrent Neural Network. Transportation Research Record: Journal of the Transportation Research Board, 2674(4), 57-65. Selected for the journal’s 2024 promotional issue as one of its top-cited papers.

  9. Yue, L., Abdel-Aty, M., Wu, Y., Zheng, O., and Yuan, J.* (2020). In-Depth Approach for Identifying Crash Causation Patterns and Its Implications for Pedestrian Crash Prevention. Journal of Safety Research, 73, 119-132. Recognized as one of the journal’s most-cited articles published since 2021.

  10. Li, Y., Abdel-Aty, M., Yuan, J., Cheng, Z., and Lu, J. (2020). Analyzing Traffic Violation Behavior at Urban Intersections: A Spatial-Temporal Kernel Density Estimation Approach Using Automated Enforcement System Data. Accident Analysis & Prevention, 141, 105509.

  11. Formosa, N., Quddus, M., Ison, S., Abdel-Aty, M., and Yuan, J. (2020). Predicting Real-Time Traffic Conflicts Using Deep Learning. Accident Analysis & Prevention, 136, 105429. Ranked eighth among the journal’s most-cited articles published since 2021.

  12. Li, P., Abdel-Aty, M., and Yuan, J. (2020). Real-Time Crash Risk Prediction on Arterials Based on LSTM-CNN. Accident Analysis & Prevention, 135, 105371. Ranked second among the journal’s most-cited articles published since 2021.

  13. Xing, L., He, J., Li, Y., Wu, Y., Yuan, J., and Gu, X. (2020). Comparison of Different Models for Evaluating Vehicle Collision Risks at Upstream Diverging Area of Toll Plaza. Accident Analysis & Prevention, 135, 105343.

2019

  1. Cai, Q., Abdel-Aty, M., Sun, Y., Lee, J., and Yuan, J. (2019). Applying a Deep Learning Approach for Transportation Safety Planning by Using High-Resolution Transportation and Land Use Data. Transportation Research Part A: Policy and Practice, 127, 71-85.

  2. Yuan, J.*, Abdel-Aty, M., Gong, Y., and Cai, Q. (2019). Real-Time Crash Risk Prediction Using Long Short-Term Memory Recurrent Neural Network. Transportation Research Record: Journal of the Transportation Research Board, 2673(4), 314-326. Third-most-cited article in the journal in 2020.

  3. Yuan, J.*, Abdel-Aty, M., Cai, Q., and Lee, J. (2019). Investigating Drivers’ Mandatory Lane Change Behavior on the Weaving Section of Freeway with Managed Lane: A Driving Simulator Study. Transportation Research Part F: Traffic Psychology and Behavior, 62, 11-32.

  4. Gu, X., Abdel-Aty, M., Xiang, Q., Cai, Q., and Yuan, J. (2019). Utilizing UAV Video Data for In-Depth Analysis of Drivers’ Crash Risk at Interchange Merging Areas. Accident Analysis & Prevention, 123, 159-169.

2018

  1. Yuan, J.*, Abdel-Aty, M., Wang, L., Lee, J., Yu, R., and Wang, X. (2018). Utilizing Bluetooth and Adaptive Signal Control Data for Real-Time Safety Analysis on Urban Arterials. Transportation Research Part C: Emerging Technologies, 97, 114-127.

  2. Yuan, J.* and Abdel-Aty, M. (2018). Approach-Level Real-Time Crash Risk Analysis for Signalized Intersections. Accident Analysis & Prevention, 119, 274-289.

  3. Cai, Q., Saad, M., Abdel-Aty, M., Yuan, J., and Lee, J. (2018). Safety Impact of Weaving Distance on Freeway Facilities with Managed Lanes Using Both Microscopic Traffic and Driving Simulations. Transportation Research Record: Journal of the Transportation Research Board, 2672(39), 130-141.

  4. Wang, X., Yuan, J., Schultz, G., and Fang, S. (2018). Investigating the Safety Impact of Roadway Network Features of Suburban Arterials in Shanghai. Accident Analysis & Prevention, 113, 137-148.

2017

  1. Wang, X. and Yuan, J. (2017). Safety Impacts Study of Roadway Network Features on Suburban Highways. China Journal of Highway and Transport, 30(4), 106-114. In Chinese; 2019 Best Paper Award (Second Place), China Journal of Highway and Transport.

2016

  1. Wang, X., Yuan, J., and Yang, X. (2016). Modeling Research of Crash Types at Signalized Intersections Base on the Random Effect Model. Journal of Tongji University (Natural Science), 44(1), 81-86. In Chinese; FRONTRUNNER 5000 Top Articles in Outstanding S&T Journals of China.