个人资料
- 直属机构:轨道交通学院
- 联系电话:
- 性别:男
- 电子邮箱:tianyazhang@suda.edu.cn
- 专业技术职务:
- 办公地址:苏州大学阳澄湖校区交通大楼
- 毕业院校:新泽西州立罗格斯大学
- 通讯地址:
- 学位:工学博士学位
- 邮编:215131
- 学历:博士研究生毕业
- 传真:
教育经历
- 本科,2006-2010,机械与车辆学院,北京理工大学
- 硕士,2011-2014,交通管理工程学院,中国人民公安大学
- 硕士,2014-2016,土木与环境工程学院,德克萨斯A&M大学
- 博士,2016-2022,智能交通系统,罗格斯新泽西州立大学
工作经历
- 2022-2023,罗格斯大学卡姆登校区,应用数学学院,博士后研究员
- 2023-2025,田纳西大学查塔努加研究院,智慧交通测试平台,研究副教授
- 2026-至今,苏州大学轨道交通学院,智慧交通,特聘教授
个人简历
特聘教授,博导。于罗格斯大学新布朗斯维克校区取得博士学位,后在罗格斯大学 Camden 校区应用数学系开展博后研究。此外,还获宾夕法尼亚大学计算机硕士。回国前担任田纳西大学查塔努加研究院(UTCRI)研究副教授。作为研究员/联合首席研究员(Investigator/Co-PI),参与并主持了美国交通部(USDOT)旗舰项目的基金支持,总金额800万美元。
累计在国际权威期刊及顶级会议发表高水平学术论文30余篇。其中,代表作成果发表于智能交通系统(ITS)领域的顶级期刊,包括《Transportation Research Part B/C》、《IEEE Transactions on Intelligent Transportation Systems》、《IEEE Transactions on Intelligent Vehicles》以及土木建筑信息化领域顶刊《Computer-Aided Civil and Infrastructure Engineering》(CACAIE)。部分研究成果亦发表于美国土木工程师学会(ASCE)旗下的传统期刊《Journal of Transportation Engineering, Part A: Systems》及交通运输研究委员会会刊《Transportation Research Record》(TRR)。
此外,在车路云一体化系统和方法的设计上授权了4项美国专利以及中国专利2项,另外一项关于利用无人机进行三维场景重建的专利已经成功的孵化为初创企业。
研究领域
智能感知与大数据:运用计算机视觉、激光雷达和无人机遥感技术,采集高分辨率数据,以推动交通研究与创新。
道路基础设施数字化:涵盖车路协同网络、干线交通管理系统以及车联网(V2X)通信技术。
人工智能驱动决策:涉及交通流仿真与建模、网联自动驾驶车辆(CAV)控制以及智能交通优化。
开授课程
科研项目
- 1、Real-Time Traffic Signal Performance Measurement Phase Ⅰ,-2019,2017,New Jersey DOT,$298,217,2016‐14
- 2、Real-Time Traffic Signal System Performance Measurement Phase II,-2022,2019,New Jersey DOT,$458,894.37,19-60160
- 3、Data City - Middlesex County Smart Mobility Testing Ground (SMTG),-2023,2019,FHWA, NJ DOT,$1,321,100.00,21-60168
- 4、Development and Evaluation of Collaborative Ramp Metering Control for Congested Urban Freeways,-2023,2022,US DOT,$75,000,69A3551747124
- 5、The Congestion Impacts Reduction via CAV-in-the-loop Lagrangian Energy Smoothing (CIRCLES) project,-2023,2020,NSF&DOE,$4,991,896,CID DE-EE0008872
- 6、Advanced Artificial Intelligence Research for Equitable Safety of Vulnerable Road Users, Federal Highway Administration (FHWA),2023-2026,2023,EAR Program,$1,300,000,693JJ32350028
论文
- 1、Physics-Informed Graph Modeling for Traffic Shockwave Analysis Through Optimized Change-Point Detection,Transportation Research Part B: Methodological,2026,Tianya Zhang,Xiunan Wang,Pengyuan Sun,211
- 2、CalibRefine: Deep Learning-Based Online Automatic Targetless LiDAR–Camera Calibration With Iterative and Attention-Driven Post-Refinement,IEEE Transactions on Instrumentation and Measurement,2026,Lei Cheng,Lihao Guo,Tianya Zhang,75
- 3、Network Level Spatial Temporal Traffic Forecasting with Hierarchical-Attention-LSTM,Digital Transportation and Safety ,2024,Tianya Zhang,3(4)
- 4、Hash-based Gaussian Mixture Model for Roadside LiDAR Smart Infrastructure Application,IEEE Transactions on Intelligent Transportation Systems,2024,Tianya Zhang,Yi Ge,Anjiang Chen,25(10)
- 5、Car-Following Models: A Multidisciplinary Review,IEEE Transactions on Intelligent Vehicles,2025,Tianya Zhang,Peter J. Jin,S. T. McQuade,10(1)
- 6、Deep spatial-temporal embedding for vehicle trajectory validation and refinement,Computer-Aided Civil and Infrastructure Engineering,2024,Tianya Zhang,Peter J. Jin,Benedetto Piccoli,39(11)
- 7、Segmentation is Tracking: Spatial-Temporal Map Vehicle Trajectory Reconstruction and Validation,IEEE Transactions on Intelligent Transportation Systems,2023,Tianya Zhang,Peter J. Jin,24(11)
- 8、Arterial Vehicle Trajectory Reconstruction Based on Stop-Bar Video Sensor for Automated Traffic Signal Performance Measures,Journal of Transportation Engineering, Part A: Systems,2022,Tianya Zhang,Peter J. Jin,Thomas M. Brennan Jr,149(4)
- 9、Roadside LiDAR Vehicle Detection and Tracking Using Range and Intensity Background Subtraction,Journal of Advanced Transportation,2022,Tianya Zhang,Peter J. Jin,2022/
- 10、A Longitudinal Scanline based Vehicle Trajectory Reconstruction Method for High-Angle Traffic Video,Transportation Research: Part C,2019,Tianya Zhang,Peter J. Jin,103
- 11、Traffic Control via Connected and Automated Vehicles (CAVs): An Open-Road Field Experiment with 100 CAVs,IEEE Control Systems,SCI,2025,J. W. Lee,Vanderbilt University,H. Wang,K. Jang,45(1), 28-60
- 12、Roadside CCTV Traffic Sensor Coverage and Spatial Accuracy Analysis with Line-of-Sight Simulation over 3D Digital Surface Model,Transportation Research Record,SCI,2025,Yi Ge,Rutgers University,Peter J. Jin,Tianya Zhang,Peter J. Jin,Rutgers University,2025,3
- 13、LiDAR Vehicle Trajectory Reconstruction with Arterial Shockwave Detection and Space-Time Analysis,Transportation Research Record,SCI,2025,Anjiang Chen,Rutgers University,Peter J. Jin,Tianya Zhang,Peter J. Jin,Rutgers University,2025,3
- 14、Roadside LiDAR Sensor Configuration Assessment and Optimization Methods for Vehicle Detection and Tracking in Connected and Automated Vehicle Applications,Transportation Research Record,SCI,2023,Yi Ge,Rutgers University,Peter J. Jin,Tianya Zhang,Peter J. Jin,Rutgers University,2023,3
- 15、Roadside LiDAR Vehicle Detection and Tracking Using Range and Intensity Background Subtraction,Journal of Advanced Transportation,SCI,2022,Tianya Zhang,Rutgers University,Peter J. Jin,Tianya Zhang,Rutgers University,2022, 2771085, 14 pages,1
- 16、Arterial Vehicle Trajectory Reconstruction Based on Stop-Bar Video Sensor for Automated Traffic Signal Performance Measures (ATSPMs),Journal of Transportation Engineering, Part A: Systems,SCI,2022,Tianya Zhang,Rutgers University,Peter J. Jin,T. Brennan,Tianya Zhang,Rutgers University,DOI: 10.1061/JTEPBS.0000749,1
- 17、Vehicle Detection for 511 Traffic Cameras with U-Shaped Dual Attention Inception Neural Networks and Spatial-Temporal Map,Transportation Research Record,SCI,2022,Tianya Zhang,Rutgers University,Peter J. Jin,Yi Ge,Tianya Zhang,Rutgers University,2022,1
- 18、Cloud versus Server-based Virtual Sensor Network based on 511 Traffic Video Streams: An Experiment with an Enhanced Spatial-Temporal-Map based Platform,Transportation Research Record,SCI,2021-08,Yi Ge,Rutgers University,Peter J. Jin,Tianya Zhang,Peter J. Jin,Rutgers University,2021,3
- 19、Longitudinal-Scanline-Based Arterial Traffic Video Analytics with Coordinate Transformation Assisted by 3D Infrastructure Data,Transportation Research Record,SCI,2020-12,Tianya Zhang,Rutgers University,M. Guo,Peter J. Jin,Tianya Zhang,Rutgers University,2020,1
- 20、Roadside Sensor Systems for Vulnerable Road User Protection: Calibration, Fusion, Prediction and Safety Analysis,IEEE Access,SCI,2025,Tianya Zhang,University of Tennessee at Chattanooga,Lei Cheng,Lihao Guo,Tianya Zhang,University of Tennessee at Chattanooga,13, 62717-62738,1
- 21、Network Level Spatial Temporal Traffic Forecasting with Hierarchical-Attention-LSTM (HierAttnLSTM),Digital Transportation and Safety,SCI,2024,Tianya Zhang,University of Tennessee at Chattanooga,Tianya Zhang,University of Tennessee at Chattanooga,3(4), 233-245,1
- 22、Real-Time Edge-based Multi-Sensor Fusion for Vulnerable Road User Safety at Urban Intersection,TRB 105th Annual Meeting,会议论文,2026-01,Tam Bang,University of Tennessee at Chattanooga,Hoang Nguyen,Deponker Depto,Washington, D.C.
- 23、Vulnerable Road User Detection and Classification for LiDAR-Camera Fusion with Deep Embedding,TRB 104th Annual Meeting,会议论文,2025-01,Tianya Zhang,University of Tennessee at Chattanooga,Tianya Zhang,University of Tennessee at Chattanooga,Washington, D.C.,1
- 24、Big Data Application for Network Level Travel Time Prediction with Hierarchical LSTM,TRB 103rd Annual Meeting,会议论文,2024-01,Tianya Zhang,University of Tennessee at Chattanooga,Tianya Zhang,University of Tennessee at Chattanooga,Washington, D.C.,1
- 25、Multimodal Background Modeling for Roadside LiDAR Mobility and Safety Applications,TRB 102nd Annual Meeting,会议论文,2023-01,Tianya Terry Zhang,Rutgers University,Deep Patel,Yi Ge,Tianya Terry Zhang,Rutgers University,Washington, D.C.,1
- 26、Automating the Traffic Signal Performance Measures for Adaptive Traffic Signal Control System,TRB 100th Annual Meeting,会议论文,2021-01,Tianya Zhang,Rutgers University,Peter J. Jin,K. McVeigh,Tianya Zhang,Rutgers University,Washington, D.C.,1
- 27、Empirical Study of the Variation of Value of Travel Time and Reliability,TRB 96th Annual Meeting,会议论文,2017-01,Tianya Zhang,Rutgers University,M. Burris,Peter J. Jin,Tianya Zhang,Rutgers University,Washington, D.C.,1
- 28、Position Encoding in Detection-Based LiDAR–Camera Matching: A Diagnostic Study At Infrastructure Sites,IEEE Sensors Letters,2026,Lihao Guo,University of Arizona,10/8/6007404-6007404
科研成果
- 1、 公路巡逻民警队警务工作实务指南,2013,中国人名公安大学出版社
- 1、Cloud-based technology for connected and automated vehicle highway systems,US 16/454,268,Rutgers University,Granted
- 2、Fixed-route service system for CAVH systems,US 16/506,470,Rutgers University,Granted
- 3、Cloud-based model deployment and control system (cmdcs) for providing automated driving services,18/779,372,Rutgers University,Granted
- 4、Incident Site Investigation and Management System based on Unmanned Aerial Vehicles,62/544,461,Rutgers University,Granted
荣誉及奖励
- 1、Institutional Lead Award,2024,IEEE ITS Society
- 2、Sweet 16 High Value Research Award,2020,AASHTO
- 3、Sweet 16 High Value Research Award,2023,AASHTO
- 4、Future of ITS,2022,New Jersey ITS Society
- 5、Outstanding Graduate Student,2019,New Jersey ITS Society
- 6、Research Implementation Award,2024,New Jersey DOT
招生信息
本团队现招收硕士研究生、博士研究生及优秀本科科研实习生,同时诚邀相关领域内的海内外优秀青年学者加入。
申请者的专业背景包括但不限于:人工智能、计算机科学、自动化、数学、数据科学、交通工程等。
特别说明:
非常欢迎具有跨学科背景的同学联系报考。课题组高度重视交叉学科的研究价值,鼓励将人工智能、数据科学等技术与其他专业领域相结合,期待具有复合型知识结构的同学参与到前沿的基础研究与产业应用中。
有意向者请附上个人简历(及相关代表性成果)联系我们,期待您的加入。
