M-TRAIL|CEE|UMD - Publications

Journals

[74]. Z. Zhang, M. Fang, D. Chen, X. Yang, & Y. Liu* (2025), Synergizing AI and Digital Twins for Next-Generation Network Optimization, Forecasting, and Security, IEEE Wireless Communication Magazine, Accepted.

[73]. S. Tarafdar, Y. Gong*, & X. Yang, (2025), Urban Electric Vehicle Charging Infrastructure Planning: Addressing the Balance Between Residential and Commercial Charging Stations, Journal of Urban Planning and Development, Accepted.

[72]. Y. Gong*, K. Yang, & X. Yang (2025), Evaluating Safety Performance of Left-Turn Phasing Treatments: A Roadway-Level Case Study in Utah, Journal of Transportation Engineering, Part A: Systems, Accepted.

[71]. Y. Lei, Y. Cheng, & X. Yang*, (2025), An optimization-free approximation Framework for Connected and Automated Vehicles Eco-Trajectory Planning Under limited computing capacity, Transportation Research Part C, Vol. 171, 104949.

[70]. Y. Lei, Y. Gong, & X. Yang*, (2024), Unraveling Stochastic Fundamental Diagrams with Empirical Knowledge: Modeling, Limitations, and Future Directions, Transportation Research Part C, Vol. 169, 104851.

[69]. Y. Zhang & X. Yang*, (2024), Discrete Macroscopic Traffic Flow Model Considering the Lane-changing Behaviors in the Mixed Traffic Environment, Transportation Research Part C, Vol. 164, 104672.

[68]. Z. Zhang*, Y. Gong, & X. Yang, (2024), Secondary Crashes Identification and Modeling along Highways in Utah, Journal of Transportation Research Board: Transportation Research Record, vol. 2678(3), 613-624.

[67]. Y. Gong, T. Isom, P. Lu, X. Yang, & A. Wang, (2024), Modeling the Impact of COVID-19 on Transportation at Later Stage of the Pandemic: A Case Study of Utah, Journal of Intelligent Transportation Systems, Vol. 28(4), pp. 544 – 554.

[66]. Z. Zhang, Y. Yuan, M. Li, P. Lu, & X. Yang*, (2023), Empirical Study of the Effects of Physics-Guided Machine Learning on Freeway Traffic Flow Modeling: Model Comparisons Using Field Data, Transportmetrica Part A, in press.

[65]. B. Azin, X. Yang*, N. Markvoic, & C. Xiong, (2023), An Incentivized Scheme for Electric Vehicle Charging Demand Management, Transportation Research Part C, vol 155, 104288.

[64]. H. Zhang, P. Li, X. Liu, & X. Yang, (2023), Iterative Semi-Supervised Approach with Pixel-wise Contrastive Loss for Road Extraction in Images, ACM Transactions on Multimedia Computing, Communications, and Applications, Vol. 20 (3), pp. 1-21.

[63]. L. An, X. Yang, D.K. Kum, J. Ju*, & G. Wang, (2023), Speed Harmonization for Partially Connected and Automated Traffic, IEEE Transactions on Intelligent Transportation Systems, Vol. 24 (10), pp. 10491 – 10500.

[62]. Z. Zhang*, H. Yang, & X. Yang, (2023), A Transfer Learning-based LSTM for Traffic Flow Prediction with Missing Data, Journal of Transportation Engineering, Vol. 149 (10), 04023095.

[61]. X. He, Y. Wu, K. Zhang, X. Zhu*, & X. Yang, (2023), Roadway Snow Estimation using Dual-Spectrum Camera Images and Computer Vision, Transportation Research Record, Vol. 2677 (10), pp. 220 – 232.

[60]. Y. Gong, P. Lu, & X. Yang*, (2023), Impact of COVID-19 on Traffic Safety from the “Lockdown” to the “New Normal”: A Case Study of Utah, Accident Analysis and Prevention, vol 184, 106995.

[59]. H. Wang, Y. Yuan*, X. Yang, T. Zhao, & Y. Liu, (2023), Deep Q learning-based Traffic Signal Control Algorithms: Model Development and Evaluation with Field Data, Journal of Intelligent Transportation Systems. Vol 27 (3), pp. 314-334.

[58]. Q. Wang, Y. Yuan, Q. Zhang, & X. Yang*, (2022), Signalized arterial origin-destination flow estimation using flawed vehicle trajectories: A self-supervised learning approach without ground truth, Transportation Research Part C, 145, 103917.

[57]. Q. Wang, Y. Gong, & X. Yang*, (2022), Connected Automated Vehicle Trajectory Optimization Along Signalized Arterial: A Decentralized Approach Under Mixed Traffic EnvironmenT, Transportation Research Part C, 145, 103918.

[56]. H. Yao, X. Li*, & X. Yang, (2022), Physics-Aware Learning-based Vehicle Trajectory Prediction of Congested Traffic in a Connected Vehicle Environment, IEEE Transactions on Vehicular Technology. Vol 72 (1), pp. 102 – 112.

[55]. J. Hu, L. Qi, Z. Zhang, X. Yang, & X. Li*, (2022), A Detection Method for Cyber-Attack on Connected Signal Phase and Timing Information, Transportmetrica B: Transport Dynamics. Vol. 10 (1), pp. 731-751.

[54]. Y. Yuan, Q. Wang, & X. Yang*, (2022), Traffic Flow Modeling with Gradual Physics Regularized Learning, IEEE Transactions on Intelligent Transportation Systems, Vol. 23 (9), pp.14649 - 14660.

[53]. L. An, X. Yang, & J. Hu*, (2022), Modeling System Dynamics of Mixed Traffic with Partially Connected and Automated Vehicles, IEEE Transactions on Intelligent Transportation Systems, Vol. 23 (9), pp. 15755 – 15764.

[52]. J. Hu, Z. Zhang, Y. Feng, X. Li*, & X. Yang, (2022), Transit Signal Priority Enabling Connected and Automated Buses to Cut Through Traffic, IEEE Transactions on Intelligent Transportation Systems, Vol. 23 (7), pp. 8782 – 8792.

[51]. W. Hao*, L. Liu, & X. Yang, (2022), Reducing CACC Platoon Disturbances Caused by State Jitters by Combining Two Stages Driving State Recognition, IEEE Transactions on Intelligent Transportation Systems, Vol. 23 (3), pp. 2144 – 2154.

[50]. B. Azin, X. Yang*, N. Markovic, & M. Liu, (2021), Infrastructure Enabled and Electrified Automation: Charging Facility Planning for Cleaner Smart Mobility, Transportation Research Part D, Vol. 101, 103079.

[49]. Q. Wang & X. Yang*, (2021), Dynamic Multi-path Signal Progression Control based on Connected Vehicle Technology, Journal of Transportation Engineering, Vol. 147 (10), pp. 04021054.

[48]. Y. Yuan, Z. Zhang, X. Yang*, & S. Zhe, (2021), Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into ML Applications in Transportation, Transportation Research Part B, Vol. 146, pp. 88–110.

[47]. Q. Wang, Y. Yuan, X. Yang*, & Z. Huang, (2021), Adaptive and Multi-path Progression Signal Control under Connected Vehicle Environment, Transportation Research Part C: Emerging Technologies, Vol. 124, 102965.

[46]. C. Xiong*, X. Yang, & M. Lee, (2021), An integrated modeling framework for active traffic management and its applications in the Washington D.C. area, Journal of Intelligent Transportation Systems, Vol. 25 (6), pp. 609–625.

[45]. Z. Zhang & X. Yang, (2021), Analysis of highway performance under mixed connected and regular vehicle environment, Journal of Intelligent and Connected Vehicle, Vol. 2 (2), pp. 68–79.

[44]. X. Yang, K. Huang*, Z. Zhang, & Z. Zhang, (2021), Eco-Driving System for Connected Automated Vehicles: Multi-Objective Trajectory Optimization, IEEE Transactions on Intelligent Transportation Systems, Vol. 22 (12), pp. 7837–7849.

[43]. Z. Zhang, R. Yang, G. Blackwelder, & X. Yang*, (2020), Examining Driver Injury Severity in Left-turn Crashes using Hierarchical Ordered Probit Models, Traffic Injury Prevention, Vol. 22 (1), pp. 57–62.

[42]. Z. Zhang & X. Yang*, (2020), Freeway Traffic Speed Estimation by Regression Machine Learning Techniques Using Probe Vehicle and Traffic Sensor Data, Journal of Transportation Engineering, Vol. 146 (12).

[41]. Z. Zhang & X. Yang*, (2020), Freeway Traffic Speed Estimation in Traffic Monitoring Systems using a Hybrid Machine Learning Approach, Journal of Transportation Research Board: Transportation Research Record, Vol. 2674 (10), pp. 68–78.

[40]. Q. Wang, X. Yang*, B. D. Leonard, & J. Mackey, (2020), Field Evaluation of CV-based Transit Signal Priority System under Two Different Signal Base Plans, ransportation Research Record, Vol. 2674 (7), pp. 172–180.

[39]. Y. Lin, X. Yang*, & Q. Wang, (2020), New transit signal priority scheme for intersections with nearby bus rapid transit median stations, IET Intelligent Transport Systems, Vol. 14 (12), pp. 1606–1614.

[38]. Q. Wang, X. Yang*, Z. Huang, & Y. Yuan, (2020), Multi-vehicle Trajectory Optimization for Cooperative Adaptive Cruise Control (CACC) Platoon Formation, Transportation Research Record, Vol. 2674 (4), pp. 30–41.

[37]. L. Xu, X. Yang*, & G.-L. Chang, (2019), Two-stage model for optimizing traffic signal control plans of signalized Superstreet, Transportmetrica A: Transport Science, Vol. 15 (2), pp. 993–1018.

[36]. X. Yang*, Z. Zhang, G.-L. Chang, & P. Li, (2019), Smart Signal Control System for Accident Prevention and Arterial Speed Harmonization under Connected Vehicle Environment, Transportation Research Record, Vol. 2673 (5), pp. 61–71.

[35]. X. Yang, W. Hao*, & Y. Lu, (2019), Inventory Slack Routing Application in Emergency Logistics and Relief Distributions, PLOS ONE, Vol. 13 (6), e0198443.

[34]. Y. Lin*, X. Yang, & N. Zou, (2019), Passive Transit Signal Priority for High Transit Demand: Model Formulation and Strategy Selection, Transportation Letters: The International Journal of Transportation Research, Vol. 11 (3), pp. 119–129.

[33]. W. Hao, Y. Lin*, Y. Cheng, & X. Yang, (2018), Signal Progression Model for Long Arterial: Intersection Grouping and Coordination, IEEE Access, Vol. 6, pp. 30128–30136.

[32]. X. Li, L. Wu, & X. Yang*, (2018), Exploring the Impact of Social Economic Variables on Traffic Safety Performance in Hong Kong: A Time Series Analysis, Safety Science, Vol. 109, pp. 67–75.

[31]. K. Huang, X. Yang*, C. Mi, & Y. C. Lu, (2018), Ecological Driving System for Connected/Automated Vehicle using a Two-Stage Control Hierarchy, IEEE Transactions on Intelligent Transportation Systems, Vol. 19 (7), pp. 2373–2384.

[30]. X. Yang*, Y. Cheng, & G.-L. Chang, (2018), Integration of Adaptive Signal Control and Freeway Off-ramp Priority Control for Commuting Corridors, Transportation Research Part C: Emerging Technologies, Vol. 86, pp. 328–345.

[29]. Y. Cheng & X. Yang*, (2018), Signal Coordination Model for Local Arterial with Heavy Bus Flows, Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, Vol. 22 (5), pp. 422–432.

[28]. A. Nara*, X. Yang, S. Ghanipoor, & M. Tsou, (2017), Integrated Evacuation Decision Support System with Social Perception Analysis and Dynamic Population Estimation, International Journal of Disaster Risk Reduction, Vol. 25, pp. 190–201.

[27]. W. Hao*, B. Moghimi, & X. Yang, (2017), Effects of Foggy Conditions on Driver Injury Levels in U.S. Highway-rail Grade Crossing Accidents, Case Studies on Transport Policy, Vol. 5 (4), pp. 627–633.

[26]. P. Lyu, Y. Lin*, L. Wang, & X. Yang, (2017), Variable Speed Limit Control for Delay and Crash Reductions at Freeway Work Zone Area, ASCE Journal of Transportation Engineering, Part A: Systems, Vol. 143 (12), 04017062.

[25]. L. Xu, X. Yang*, & G.-L. Chang, (2017), Computing Minimal U-Turn Offset for Unsignalized Superstreet, Journal of Transportation Research Board: Transportation Research Record, Vol. 2618, pp. 48–57.

[24]. X. Yang* & G.-L. Chang, (2017), Estimation of Time-Varying Origin-Destination Patterns for Design of Multipath Progression on a Signalized Arterial, Journal of Transportation Research Board: Transportation Research Record, Vol. 2667, pp. 28–38.

[23]. X. Yang, Y. Lu, & W. Hao*, (2017), Origin Destination (O-D) Estimation using Probe Vehicle Trajectory and Link Counts, Journal of Advanced Transportation, Vol. 2017, ID 4341532.

[22]. X. Yang* & Y. Cheng, (2017), Development of Signal Optimization Models for Asymmetric Two-Leg Continuous Flow Intersections, Transportation Research Part C: Emerging Technologies, Vol. 74, pp. 306–326.

[21]. W. Hao*, C. Kamga, & X. Yang, (2016), Driver Injury Severity Study for Truck Involved Accidents at Highway-rail Grade Crossing in the United States, Transportation Research Part F, Vol. 43, pp. 379–386.

[20]. X. Yang*, Y. Cheng, & G.-L. Chang, (2016), Operational Analysis and Signal Design for Asymmetric Two-Leg Continuous-Flow Intersection, Transportation Research Record: Journal of the Transportation Research Board, Vol. 2553, pp. 72–81.

[19]. X. Yang*, Y. C. Lu, & Y. Lin, (2016), Optimal variable speed limit control system for freeway work zone operations, ASCE Journal of Computing in Civil Engineering, Vol. 31 (1), 04016044.

[18]. Z. Dong, M. Wang, & X. Yang*, (2016), The Application of Public Private Partnerships in Public Transportation: Comparative Study between China and United States, Journal of Modern Transportation, Vol. 24 (3), pp. 215–223.

[17]. X. Lu, J. Yu*, X. Yang, S. Pan, & N. Zou, (2016), Flexible Transit Route Design to Enhance System Accessibility in Urban Area, Journal of Advanced Transportation, Vol. 50 (4), pp. 507–521.

[16]. X. Yang*, Y. C. Lu, & G.-L. Chang, (2015), Dynamic Signal Priority Control Strategy to Mitigate the Off-ramp Queue Spillback to the Freeway Mainline Segment, Transportation Research Record, Vol. 2443, pp. 40–48.

[15]. Y. C. Lu*, X. Yang, & G.-L. Chang, (2015), Detector-error Screening Algorithm based on Temporal and Spatial Information, Journal of Transportation Research Board: Transportation Research Record, Vol. 2438, pp. 1–11.

[14]. X. Yang*, Y. C. Lu, & G.-L. Chang, (2015), Exploratory analysis of an optimal variable speed control system for a recurrently congested freeway bottleneck, Journal of Advanced Transportation, Vol. 49 (2), pp. 195–209.

[13]. Y. Lin, X. Yang, N. Zou*, & M. Franz, (2015), Transit Signal Priority Control at Signalized Intersections: A Comprehensive Review, Transportation Research Record: Journal of the Transportation Research Board, Vol. 2487, pp. 112–121.

[12]. X. Yang*, Y. Cheng, & G.-L. Chang, (2015), Integrating Off-Ramp Spillback Control with a Decomposed Arterial Signal Optimization Model, Transportation Letters, Vol. 7 (3), pp. 168–180.

[11]. X. Yang*, Y. Cheng, & G.-L. Chang, (2014), Multi-path Progression Model for Synchronization of Arterial Traffic Signals, Transportation Research Part C: Emerging Technologies, Vol. 53, pp. 93–111.

[10]. Y. Lu & X. Yang*, (2014), Estimating Dynamic Queue Distribution in a Signalized Network through a Probability Generating Model, IEEE Transactions on Intelligent Transportation Systems, Vol. 15 (1), pp. 334–344.

[9]. X. Yang*, G.-L. Chang, & S. Rahwanji, (2014), Development of a Signal Optimization Model for Diverging Diamond Interchange, ASCE Journal of Transportation Engineering, Vol. 140 (5), 04014010.

[8]. X. Yang* & S. Zhu, (2014), Solution to the Multidepot Inventory Slack-Routing Problem at the Planning Stage, ASCE Journal of Computing in Civil Engineering, Vol. 30 (1), 04014115.

[7]. S. Pan, J. Yu*, X. Yang, & N. Zou, (2014), Designing a flexible feeder transit system serving irregularly shaped and gated communities, ASCE Journal of Urban Planning and Development, Vol. 141 (3), 04014028.

[6]. X. Yang* & L. Feng, (2013), Inventory routing problem: Routing and scheduling approach with the objective of slack maximization, Transportation Research Record: Journal of the Transportation Research Board, Vol. 2378, pp. 32–42.

[5]. X. Yang*, G.-L. Chang, S. Rahwanji, & Y. Lu, (2013), Development of Planning-Stage Models for Analyzing Continuous Flow Intersections, ASCE Journal of Transportation Engineering, Vol. 139 (11), pp. 1124–1132.

[4]. Y. Lin*, X. Yang, N. Zou, & L. Jia, (2013), A Passive Transit Signal Priority Control at Urban Arterials, Journal of Northeastern University: Natural Science, Vol. 34 (9), pp. 1227–1231.

[3]. Y. Lin*, X. Yang, N. Zou, & L. Jia, (2013), Real-Time Bus Arrival Time Prediction: A Case Study for Jinan, China, ASCE Journal of Transportation Engineering, Vol. 139 (11), pp. 1133–1140.

[2]. Y. Lin*, X. Yang, G.-L. Chang, & N. Zou, (2013), Transit Priority Strategies for Multiple Routes under Headway-Based Operations, Journal of Transportation Research Board: Transportation Research Record, Vol. 2356 (1), pp. 34–43.

[1]. X. Yang*, Y. Lu, & Y. Lin, (2013), Interval optimization for signal timings with time-dependent uncertain arrivals, Journal of Computing in Civil Engineering, Vol. 29 (5), 04014057.

Conference Papers

[88]. T. Shen, D. Yang*, K. Xie, H. Yang, X. Yang, M. Jeihani, (2025), Development of a Functional Conflict-based Safety Performance Function for Signalized Intersections Using the pNEUMA Data, 104th Transportation Research Board Annual Meeting, Washington D. C. #25-04602.

[87]. S. Tarafdar, Y. Zhang, Y. Gong, X. Yang*, (2025), Bi-Level Optimization for Strategic Commercial Electric Vehicle Charging Station (EVCS) Placement, 104th Transportation Research Board Annual Meeting, Washington D. C. #25-02735.

[86]. Y. Gong, Y. Zhang, K. Yang, S. Tarafdar, X. Yang*, (2025), Unveil Short-Term Traffic Change in Baltimore After Francis Scott Key Bridge Collapse, 104th Transportation Research Board Annual Meeting, Washington D. C. #25-03646.

[85]. D. Yang*, T. Shen, M. Jeihani, X. Yang, S. Zhu, B. Baylor, (2025), Bridge the Distance: Surveying a Path Forward Post the Francis Scott Key Bridge Collapse, 104th Transportation Research Board Annual Meeting, Washington D. C. #25-03584.

[84]. Y. Gong, K. Yang, Y. Zhang, X. Yang*, D. Yang, (2025), How Much will the Detour Cost? Impacts on Road Freight Transportation by the Francis Scott Key Bridge Collapse, 104th Transportation Research Board Annual Meeting, Washington D. C. #25-03904.

[83]. K. Yang, Y. Lei, Y. Zhang, X. Yang*, (2025), A Conservative Car Following Model Based on Adverse Weather Conditions, 104th Transportation Research Board Annual Meeting, Washington D. C. #25-04255.

[82]. Y. Gong, S. Tarafdar, X. Yang*, (2025), Improving Highway Safety and Efficiency: Field Evaluation of New Debris Removal System, 104th Transportation Research Board Annual Meeting, Washington D. C. #25-02734.

[81]. K. Yang, Y. Lei, X. Yang*, (2025), Analyzing Car-Following Behavior Using an Empirical Prior Statistical Learning Framework, 104th Transportation Research Board Annual Meeting, Washington D. C. #25-4257.

[80]. Y. Gong, K. Yang, X. Yang*, (2024), Evaluating safety performance of left-turn signal phasing treatments at the roadway level: a case study in Utah, 103rd Transportation Research Board Annual Meeting, Washington D. C. #24-03858.

[79]. Y. Zhang, X. Yang*, (2024), Discrete macroscopic traffic flow model considering lane-changing behaviors in the mixed traffic environment, 103rd Transportation Research Board Annual Meeting, Washington D. C. #24-04713.

[78]. S. Tarafdar, Y. Gong, X. Yang*, (2024), Effect of Electric Vehicle Home Charging on Commercial Charging Infrastructure Planning under Different Market Penetration Rates, 103rd Transportation Research Board Annual Meeting, Washington D. C. #24-02857.

[77]. Y. Lei, Y. Cheng, Y. Zhang, X. Yang*, (2024), Eco-trajectory planning for connected and autonomous vehicles with the heuristic explicit model predictive control, 103rd Transportation Research Board Annual Meeting, Washington D. C. #24-03640.

[76]. Y. Gong, Q. Wang, X. Yang*, (2024), An equitable signalized arterial origin-destination flow estimation by a fairness-aware artificial intelligence, 103rd Transportation Research Board Annual Meeting, Washington D. C. #24-04112.

[75]. Z. Zhang, Y. Gong, X. Yang*, (2023), Secondary Crashes Identification and Modeling along Highways in Utah, 102nd Transportation Research Board Annual Meeting, Washington D. C. #23-01595.

[74]. Y. Gong, P. Lu, X. Yang*, (2023), Investigating the Impact of COVID-19 on Traffic Safety: From Lockdown to the New Normal, 102nd Transportation Research Board Annual Meeting, Washington D. C. #23-02610.

[73]. Q. Wang, Y. Gong, X. Yang*, (2023), Connected Automated Vehicle Trajectory Optimization Along Signalized Arterial: A Decentralized Approach, 102nd Transportation Research Board Annual Meeting, Washington D. C. #23-01554.

[72]. Y. Yuan*, X. Yang, (2023), Physics Constrained Gaussian Process for Traffic State Estimation, 102nd Transportation Research Board Annual Meeting, Washington D. C. #23-01100.

[71]. Z. Zhang, Q. Wang, H. Yang, X. Yang*, (2023), Freeway Traffic Flow Forecasting Using Physics-Guided LSTM with Flawed Data, 102nd Transportation Research Board Annual Meeting, Washington D. C. #23-01575.

[70]. Z. Zhang, X. Yang*, (2023), A Transfer Learning-based LSTM for Traffic Flow Prediction with Missing Data, 102nd Transportation Research Board Annual Meeting, Washington D. C. #23-01583.

[69]. X. He, Y. Wu, K. Zhang, X. Zhu*, X. Yang, (2023), Roadway Snow Estimation using Dual-Spectrum Camera Images and Computer Vision, 102nd Transportation Research Board Annual Meeting, Washington D. C. #23-01324.

[68]. B. Kuang, J. Chen*, S. Tarafdar, X. Yang, (2023), Pavement Marking Conditions Assessment using Mobile Phone Based on YOLO and Similarity Detection, 102nd Transportation Research Board Annual Meeting, Washington D. C. #23-02100.

[67]. C. Xiong, Z. Ma, J. Mahoudi, Y. Cheng, X. Yang, (2023), Assessing the Risk of Pedestrian-Involved Crashes at the Link Level Using High-Resolution Location-Based Data, 102nd Transportation Research Board Annual Meeting, Washington D. C. #23-05259.

[66]. H. Yao*, X. Li, X. Yang, (2022), Vehicle Trajectory Prediction with a Physics-Aware Learning-based Model Considering Shockwaves in a Connected Vehicle Environment, INFORMS Computing Society (ICS) Conference, Tampa, FL.

[65]. Y. Gong, T. Isom, X. Yang*, P. Lu, A. Wang, (2022), Modeling the Impact of COVID-19 on Transportation at Later Stage of the Pandemic: A Case Study of Utah, 101st Transportation Research Board Annual Meeting, Washington D. C. #22-01838.

[64]. B. Azin, Y. Gong, X. Yang*, (2022), Impact of Connected Vehicle Technology on Traffic Safety in Different Highway Geometric Scenarios, 101st Transportation Research Board Annual Meeting, Washington D. C. #22-03282.

[63]. L. An, J. Hu*, X. Yang, (2022), Speed Harmonization for Partially Connected and Automated Traffic, 101st Transportation Research Board Annual Meeting, Washington D. C. #22-02943.

[62]. B. Arzin, X. Yang*, N. Markovic, M. Liu, (2022), Electric Vehicle Charging Station Planning over Coupled Power Grid and Transportation Network, 101st Transportation Research Board Annual Meeting, Washington D. C. #22-03325.

[61]. Y. Yuan, Q. Wang, X. Yang*, (2022), Traffic Flow Modeling with Gradual Physics Regularized Learning, 101st Transportation Research Board Annual Meeting, Washington D. C. #22-03807.

[60]. Z. Zhang, X. Yang*, Y. Gong, (2022), Freeway Traffic Flow Modeling with Physics-guided Machine Learning Technique, 101st Transportation Research Board Annual Meeting, Washington D. C. #22-03462.

[59]. Q. Wang, X. Yang*, Y. Yuan, (2022), Signalized Arterial Origin-destination (OD) Flow Estimation Using Connected Vehicle (CV) Trajectories: A Deep Learning without Ground-Truth Approach, 101st Transportation Research Board Annual Meeting, Washington D. C. #22-01828.

[58]. Z. Zhang, X. Yang*, Y. Gong, (2022), A New Framework of Machine Learning Techniques for Macroscopic Traffic State Estimation, 101st Transportation Research Board Annual Meeting, Washington D. C. #22-03305.

[57]. Y. Yuan, Q. Wang, X. Yang*, (2022), Physics Regularized Streaming Learning for Freeway Traffic State Estimation, 101st Transportation Research Board Annual Meeting, Washington D. C. #22-03416.

[56]. Y. Yuan, Q. Wang, X. Yang*, (2022), Freeway Vehicle Trajectory Reconstructing Using Physics Regularized Gaussian Process, 101st Transportation Research Board Annual Meeting, Washington D. C. #22-03520.

[55]. J. Hu*, L. An, X. Yang, (2021), Modeling Maximum Throughput of Freeway Merging Area with Partially Connected Automated Traffic, 24th IEEE Intelligent Transportation Systems Conference.

[54]. Q. Wang, X. Yang*, Z. Huang, Y. Yuan, (2021), Adaptive and Multi-path Progression Signal Control under Connected Vehicle Environment, 100th Transportation Research Board Annual Meeting, Washington D. C. #21-00844.

[53]. Y. Yuan, X. Wang, X. Li, X. Yang*, (2021), A Deep Q-learning Method for Optimal Dynamic Privileged Parking Permit Policy, 100th Transportation Research Board Annual Meeting, Washington D. C. #21-01648.

[52]. Y. Yuan, Z. Zhang, X. Yang*, (2021), Modeling Macroscopic Traffic Flow Using a New Physics Regularized Machine Learning Approach, 100th Transportation Research Board Annual Meeting, Washington D. C. #21-00836.

[51]. Y. Yuan, Z. Zhang, X. Yang*, (2021), Traffic State Estimation with Physics Regularized Gaussian Process: Discretized Formulation, 100th Transportation Research Board Annual Meeting, Washington D. C. #21-00840.

[50]. Z. Zhang, X. Yang*, (2021), Freeway Traffic State Prediction using Constructed Traffic Information from Hybrid Machine Learning, 100th Transportation Research Board Annual Meeting, Washington D. C. #21-03439.

[49]. Z. Zhang, Y. Yuan, & X. Yang*, (2021), “Freeway Traffic State Estimation Using Physics-guided Machine Learning Technique”, 100th Transportation Research Board Annual Meeting, Washington D. C. #21-03216.

[48]. X. Zhang, X. Yang, & M. Ji*, (2020), “A New Design Framework on D2D Coded Caching with Optimal Rate and Less Subpacketizations”, IEEE International Symposium on Information Theory, Los Angeles, California, USA. Paper #: 1712.

[47]. Q. Wang, X. Yang*, Z. Huang, & Y. Yuan, (2020), “Multi-vehicle Trajectory Optimization for Cooperative Adaptive Cruise Control (CACC) Platoon Formation”, 99th Transportation Research Board Annual Meeting, Washington D. C. #20-04227.

[46]. Q. Wang, X. Yang*, (2020), “Dynamic Multi-path Signal Progression Control based on Connected Vehicle Technology”, 99th Transportation Research Board Annual Meeting, Washington D. C. #20-05011.

[45]. Q. Wang, X. Yang*, B. D. Leonard, & J. Mackey, (2020), “Field Evaluation of Connected Vehicle-based Transit Signal Priority System under Two Different Signal Base Plans”, 99th Transportation Research Board Annual Meeting, Washington D. C. #02-04044.

[44]. B. Azin, X. Yang*, & K. Njord, (2020), “Multi-stage Algorithm for Detection-Error Identification based on the Detector Station Type”, 99th Transportation Research Board Annual Meeting, Washington D. C. #20-05342.

[43]. Y. Yuan, X. Yang*, H. Wang, T. Zhao, & Y. Liu, (2020), “A Model-based Deep Q-Learning Algorithm for Traffic Signal Timing Control at Isolated Intersections”, 99th Transportation Research Board Annual Meeting, Washington D. C. #20-01867.

[42]. Z. Zhang, R. Yang, G. Blackwelder, & X. Yang*, (2020), “Examining Driver Injury Severity in Left-turn Crashes using Hierarchical Ordered Probit Models”, 99th Transportation Research Board Annual Meeting, Washington D. C. #20-04782.

[41]. Z. Zhang, & X. Yang*, (2020), “Freeway Traffic Speed Estimation in Traffic Monitoring Systems using a Hybrid Machine Learning Approach”, 99th Transportation Research Board Annual Meeting, Washington D.C. #20-04421.

[40]. X. Yang*, Z. Zhang, Y. Yuan, & X. Li, (2020), “Freeway Traffic State Estimation with Mixed Connected Automated Vehicles and Human-Driven Vehicles”, 99th Transportation Research Board Annual Meeting, Washington D.C. #20-01806.

[39]. Y. Liang, N. Ma, J. Hu*, X. Li, & X. Yang, (2020), “Data-Driven Road Side Unit Location Optimization for Information Propagation under Stochastic Traffic Condition”, 99th Transportation Research Board Annual Meeting, Washington D.C. #20-01608.

[38]. L. An, J. Hu*, & X. Yang, (2020), “Modeling System Dynamics for Mixed Traffic with Partially Connected and Automated Vehicles”, 99th Transportation Research Board Annual Meeting, Washington D.C. #20-01778.

[37]. X. Yang, W. Hao, C. Liu, (2020), “Probabilistic Stationary Queuing Model at Signalized Intersections Experiencing Potential Downstream Queue Spillover”, 99th Transportation Research Board Annual Meeting, Washington D.C. #20-02475.

[36]. Z. Zhang, X. Yang*, C. Liu, K. Burns, & G. Blackwelder, (2019), “Data Screening Algorithm for Detecting Freeway Wrong Way Driving”, 98th Transportation Research Board Annual Meeting, Washington D.C., #19-05930.

[35]. X. Yang*, Z. Zhang, G. Chang, & P. Li, (2019), “Smart Signal Control System for Accident Prevention and Arterial Speed Harmonization under Connected Vehicle Environment”, 98th Transportation Research Board Annual Meeting, Washington D.C., #19-05811.

[34]. Y. Lin & X. Yang*, (2019), “Real-time Signal Control for Bus Rapid Transit with Connected Vehicle Technology”, 98th Transportation Research Board Annual Meeting, Washington D.C., #19-04639.

[33]. J. Dozier, K. McFarland, S. G. Machiani, A. Nara, X. Yang, & M.-H. Tsou, (2019), “Improve Disaster Communication in Hyperlocal Online and Offline Communities using Social Media: A Case Study of the 2015 Nepal Earthquake”, 98th Transportation Research Board Annual Meeting, Washington D.C., #19-02557.

[32]. F. Chowdhury, P. (S.) Wang, P. Li*, L. Zhang, & X. Yang, (2019), “Resilient Mixed Integer Linear Programming Formulation for Heterogeneous Traffic Signal Priority Scheduling Problem”, 98th Transportation Research Board Annual Meeting, Washington D.C., #19-06026.

[31]. X. Yang*, Z. Zhang, M. Tsou, S. Ghanipoor, & A. Nara, (2018), Development of Integrated Wildfire Evacuation Decision Support System (IWEDSS) with Population Density Distribution and Robust Optimization Framework, 97th Transportation Research Board Annual Meeting, Washington D.C. Conference Paper, #18-05562.

[30]. X. Yang*, K. Huang, W. Hao, & Y. C. Lu, (2018), Development of Two-stage Based Eco-Driving System for Connected Automated Vehicles, 97th Transportation Research Board Annual Meeting, Washington D.C. Conference Paper, #18-00772.

[29]. X. Liu, X. Yang*, G.-L. Chang, & S. Rahwanji, (2017), “Computing the of Minimal U-turn Offset for an Un-Signalized Superstreet”, 96th Transportation Research Board Annual Meeting, Washington D. C. #17-2645.

[28]. X. Yang* & G.-L. Chang, (2017), “Estimation of time-varying origin-destination patterns for design of multi-path progression on a signalized arterial”, 96th Transportation Research Board Annual Meeting, Washington D. C. #17-2643.

[27]. X. Yang*, Y. Cheng, & J. Sanchez, (2017), “Arterial Corridor Decomposition Model for Improving Signal Progression Efficiency”, 96th Transportation Research Board Annual Meeting, Washington D. C. #17-3522.

[26]. X. Yang* & G.-L. Chang, (2017), “Integrating of Adaptive Signal Control and Freeway Off-ramp Priority Control for Commuting Corridors”, 96th Transportation Research Board Annual Meeting, Washington D. C. #17-2566.

[25]. X. Yang* & Y. C. Lu, (2017), “A Two-Stage Solution Algorithm for a Meanderable Urban Logistic Problem, 96th Transportation Research Board Annual Meeting, Washington D. C. #17-3651.

[24]. X. Liu, X. Yang*, & G.-L. Chang, (2017), “Two-stage Signal Optimization Model for Signalized Superstreet”, 96th Transportation Research Board Annual Meeting, Washington D. C. #17-2544.

[23]. W. Qiao*, T. Zhu, X. Yang, & J. Liu, (2016), “Transit Signal Priority Control Algorithm with Gaming Theory: An Application in Beijing, China”, 95th Transportation Research Board Annual Meeting, Washington D. C. #16-5498.

[22]. Y. Liu, X. Yang*, & Z. Dong, (2016), “Passive Transit Signal Priority on Local Arterials: Model Formulation and Strategy Selection”, 95th Transportation Research Board Annual Meeting, Washington D. C. #16-4671.

[21]. X. Liu, X. Yang*, G.-L. Chang, & S. Rahwanji, (2016), “Development of Interval-based Planning Models for Evaluating the Geometric Features of Signalized Superstreet”, 95th Transportation Research Board Annual Meeting, Washington D. C. #16-4287.

[20]. Y. Cheng, X. Yang*, & G.-L. Chang, (2016), “DUALBAND: A Signal Progression Model to Synchronize both Through and Turning Traffic on Local Arterials”, 95th Transportation Research Board Annual Meeting, Washington D. C. #16-4255.

[19]. X. Yang*, Y. Cheng, & G.-L. Chang, (2016), “Operational Analysis and Signal Design for Asymmetric Two-Leg Continuous Flow Intersections”, 95th Transportation Research Board Annual Meeting, Washington D. C. #16-4155.

[18]. Y. Cheng, X. Yang*, & G.-L. Chang, (2015), “A bus-based progression system for arterials with heavy transit flows”, 94th Transportation Research Board Annual Meeting, Washington D. C. # 15-0097.

[17]. X.Yang, Yao Cheng*, & G.-L. Chang, (2015), “Integrating off-ramp spillback control with the decomposed arterial signal optimization model”, 94th Transportation Research Board Annual Meeting, Washington D. C. # 15-3565, also published in TRR.

[16]. X. Yang*, Yao Cheng, & G.-L. Chang, (2014) “Real-Time Traffic Queue Length Estimation at the Freeway Off-ramp Using Dual-Zone Detectors”, ITS World Congress, Detroit, Michigan.

[15]. Y.C. Lu*, X. Yang, & G.-L. Chang, (2014), “A Detector-Error Screening Algorithm Based on Temporal and Spatial Information”, 93rd Transportation Research Board Annual Meeting, Washington D. C. #14-2214, also published in TRR.

[14]. S. Pan, Jie Yu*, X. Yang, & Nan Zou, (2014), “Flexible Feeder Transit System for Chinese Cities: Service Area Determination and Feeder Route Planning”, 93rd Trans- portation Research Board Annual Meeting, Washington D. C. #14-3043.

[13]. X. Yang*, Y.C. Lu, & G.-L. Chang, (2014), “Dynamic Signal Priority Control Strategy to Mitigate Off-ramp Queue Spillback to Freeway Mainline Segment”, 93rd Transportation Research Board Annual Meeting, Washington D. C. #14-0419.

[12]. X. Yang* & Y.C. Lu, (2014), “Development of Optimal Variable Speed Limit Control System for Freeway Work Zone Operations”, 93rd Transportation Research Board Annual Meeting, Washington D. C. #14-3591.

[11]. S. Pan, X. Yang, N. Zou*, & M. Franz, (2014), “Flexible Transit Designs to Enhance the Transport Accessibility of Disabled and Senior Passengers”, 93rd Transportation Research Board Annual Meeting, Washington D. C. #14-3031.

[10]. Y. Lin*, X. Yang,. Nan Zou, (2014), “Dynamic Controls for Bus Rapid Transit System at the Station-Neared Intersections”, 93rd Transportation Research Board Annual Meeting, Washington D. C. #14-3557.

[9]. X. Yang, Y. Lin*, Y.C. Lu, & N. Zou, (2013) “Optimal Variable Speed Limit Control for Real-time Freeway Congestions”. 13th COTA International Conference of Transportation Professionals (CICTP), Shenzhen, China.

[8]. Y. Lin*, X. Yang, N. Zou,. Lei Jia, (2013), “Development of model-based transit signal priority control for local arterials”, 13th COTA International Conference of Transportation Professionals (CICTP), Shenzhen, China.

[7]. Y. Lin*, X.Yang, S. Pan, & Nan Zou, (2013), “Transit Signal Priority Control for Multi-conflicted Routes under Headway-based Service”. The 2nd International Conference on Transportation Information and Safety (ICTIS 2013), Wuhan, China.

[6]. Y. Lin*, X. Yang, N. Zou, & L. Jia, (2013), “Real-Time Bus Arrival Time Prediction: Application to the Case of Chinese Cities”. 92nd Transportation Research Board Annual Meeting, Washington D. C. #13-3355.

[5]. Y. Lin*, X. Yang, G.L. Chang, & N. Zou, (2013), “Transit Priority Strategies for Multiple Routes Under Headway-Based Operations”. 92nd Transportation Research Board Annual Meeting, Washington D. C. #13-3190, also published in TRR.

[4]. X. Yang* & L. Feng, (2013), “Routing and Scheduling Approach for Urgent Material Distribution Problem”. 92nd Transportation Research Board Annual Meeting, Washington D. C. #13-4343, also published in TRR.

[3]. X. Yang*, G.L., Y. Lu, & S. Rahwanji, (2013), “Development of Planning Framework for Geometric Design of Continuous-Flow Intersections”. 92nd Transportation Research Board Annual Meeting, Washington D. C. #13-3809.

[2]. X. Yang*, G.L. Chang, & S. Rahwanji, (2013), “Multistage System for Planning Analysis and Signal Design of Diverging Diamond Interchange”. 92nd Transportation Research Board Annual Meeting, Washington D. C. #13-3245.

[1]. X. Yang*, Y.C. Lu, & G.L. Chang, (2013), “Proactive Optimal Variable Speed Limit Control for Recurrently Congested Freeway Bottlenecks”. 92nd Transportation Research Board Annual Meeting, Washington D. C. #13-3139.

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