期刊论文 |
*表示通讯作者： [1] Wang Q, Bie Y*, Jing D, Li X, Zhou Q. Leader-type-conditioned memory kernels for interpretable car-following response in mixed traffic[J]. Physica A: Statistical Mechanics and its Applications, 2026: 131942. (中科院二区，SCI检索) [2] Li X., Noh H, Cottam A, Wang Q* . Leveraging connected-vehicle data to identify and analyze park service areas[J]. Cities, 2026, 170: 106665. [3] Ma K, Shi H, Ma C, Huang Z, Wang Q, Li X*. Development, Calibration, and validation of a Novel nonlinear Car-Following Model: Multivariate piecewise linear approach for adaptive cruise control vehicles [J]. Transportation Research Part E: Logistics and Transportation Review 2025, 199: 104031. (中科院一区TOP期刊，SCI检索) [4] Wang Q, Yuan Y, Zhang Q, Yang X T*. Signalized arterial origin-destination flow estimation using flawed vehicle trajectories: A self-supervised learning approach without ground truth[J]. Transportation Research Part C: Emerging Technologies, 2022, 145: 103917. (中科院一区TOP期刊，SCI检索) [5] Wang Q, Gong Y, Yang X T*. Connected automated vehicle trajectory optimization along signalized arterial: A decentralized approach under mixed traffic environment[J]. Transportation research part C: emerging technologies, 2022, 145: 103918. (中科院一区TOP期刊，SCI检索) [6] Wang Q, Yuan Y, Yang X T*, Huang Z. Adaptive and multi-path progression signal control under connected vehicle environment[J]. Transportation Research Part C: Emerging Technologies, 2021,124:102965. (中科院一区TOP期刊，SCI检索) [7] Wang Q, Yang X T*, Leonard B D, Mackey J . Field evaluation of connected vehicle-based transit signal priority control under two different signal plans[J]. Transportation research record, 2020, 2674(7): 172-180. (中科院四区，SCI检索) [8] Wang Q, Yang X T*, Huang Z, Yuan Y. Multi-vehicle trajectory design during cooperative adaptive cruise control platoon formation[J]. Transportation research record, 2020, 2674(4): 30-41. (中科院四区，SCI检索) [9] Wang Q, Yang X T*, Yuan Y. Dynamic multipath signal progression control based on connected vehicle technology[J]. Journal of Transportation Engineering, Part A: Systems, 2021, 147(10): 04021054. (中科院四区，SCI检索) [10] Yuan Y, Wang Q, Yang X T*. Traffic flow modeling with gradual physics regularized learning[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 23(9): 14649-14660. (中科院一区，SCI检索) [11] Lin Y, Yang X T*, Wang Q. New transit signal priority scheme for intersections with nearby bus rapid transit median stations[J]. IET Intelligent Transport Systems, 2020, 14(12): 1606-1614. (中科院四区，SCI检索) [12] 赵芳, 四兵锋*, 汪勤政, 等. 考虑多目标的城市停车换乘选址优化模型及算法[J]. 中国公路学报, 2022, 35(10): 268-279. (EI检索) |
会议论文 |
[1] Xiaofeng Li, Hyunsoo Noh, Adrian Cottam, Qinzheng Wang* (2025), “Leveraging Connected-Vehicle Data to Identify and Analyze Park Service Area for Driving-Only Visitors”, 104nd Transportation Research Board Annual Meeting, Washington D. C. [2] Yaobang Gong, Qinzheng Wang, Xianfeng Yang* (2024), “Signalized Arterial Origin-Destination Flow Estimation with Fairness-Aware Artificial Intelligence”, 103nd Transportation Research Board Annual Meeting, Washington D. C. [3] Qinzheng Wang, Yaobang Gong, & Xianfeng Yang* (2023), “Connected Automated Vehicle Trajectory Optimization Along Signalized Arterial: A Decentralized Approach”, 102nd Transportation Research Board Annual Meeting, Washington D. C. #23-01554. [4] Zhao Zhang, Qinzheng Wang, Hao Yang, & Xianfeng Yang*, (2023), “Freeway Traffic Flow Forecasting Using Physics-Guided LSTM with Flawed Data”, 102nd Transportation Research Board Annual Meeting, Washington D. C. #23-01575. [5] Qinzheng Wang, Xianfeng Yang*, & Yun 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. [6] Qinzheng Wang, Xianfeng Yang, (2022), “Design and Evaluate Coordinated Ramp Metering Strategies for Utah Freeways”, Mountain-Plains Consortium, US Department of Transportation University Center. [7] Yun Yuan, Qinzheng Wang, & Xianfeng Yang*, (2022), “Traffic Flow Modeling with Gradual Physics Regularized Learning”, 101st Transportation Research Board Annual Meeting, Washington D. C. #22-03807. [8] Yun Yuan, Qinzheng Wang & Xianfeng Yang*, (2022), “Physics Regularized Streaming Learning for Freeway Traffic State Estimation”, 101st Transportation Research Board Annual Meeting, Washington D. C. #22-03416. [9] Yun Yuan, Qinzheng Wang, & Xianfeng Yang*, (2022), “Freeway Vehicle Trajectory Reconstructing Using Physics Regularized Gaussian Process”, 101st Transportation Research Board Annual Meeting, Washington D. C. #22-03520. [10] Qinzheng Wang, Xianfeng Yang*, Zhitong Huang, & Yun Yuan, (2021), “Adaptive and Multipath Progression Signal Control under Connected Vehicle Environment”, 100th Transportation Research Board Annual Meeting, Washington D. C. #21-00844. [11] Qinzheng Wang, Xianfeng Yang*, Zhitong Huang, & Yun 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. [12] Qinzheng Wang, Xianfeng Yang*, (2020), “Dynamic Multi-path Signal Progression Control based on Connected Vehicle Technology”, 99th Transportation Research Board Annual Meeting, Washington D. C. #20-05011. [13] Qinzheng Wang, Xianfeng Yang*, Blaine D. Leonard, & Jamie 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. [14] Qinzheng Wang, Xianfeng Yang*, Zhitong Huang, & Yun Yuan, (2019), “Multi-vehicle Trajectories Design During Cooperative Adaptive Cruise Control (CACC) Platoon Formation”, 2019 Automated Vehicle Symposium, Orlando, FL. |
