王翔

发布时间：2025-09-27浏览次数：4939

  • 1、Analyzing the deviation between bus behavioral intention and actual behavior: a case study in Suzhou, China,Transportation Planning and Technology,SCIE,2024,Fanrui Meng,Soochow University,Xiang Wang,Xiang Wang,Soochow University,通讯作者
  • 2、Variable Weight Combination Model for Lane-changing Prediction of Human-Driven Vehicle,IEEE Transactions on Intelligent Vehicles,SCIE,2024,Xiang Wang,Soochow University,Yuyan Zan,Jianying Zheng,Yang Xiao,University of Alabama,一作
  • 3、Trip misreporting mining and expansion method for household travel survey,Transportation Research Part A: Policy and Practice,SCIE,2024,Xiang Wang,Soochow University,Jiaxin Tong,Xiang Wang,Soochow University,182,一作
  • 4、GT-LSTM: A spatio-temporal ensemble network for traffic flow prediction,Neural Networks,SCIE,2024,Yong Luo,Soochow University,Jianying Zheng,Xiang Wang,Jianying Zheng,Soochow University,171/251-262,三作
  • 5、基于多传感器融合感知的车辆微观轨迹自动采集方法,公路交通科技,北大核心,2023,王祎,苏州大学,王翔,王翔,苏州大学,40(04):160-169,通讯作者
  • 6、Vehicle Micro-Trajectory Automatic Acquisition Method Based on Multi-Sensor Fusion,IEEE Sensors Journal,SCIE,2023,Xiang Wang,Soochow University,Jianying Zheng,Yang Xiao,University of Alabama,一作
  • 7、COVID-19 Impact Analysis on Travel Behavior Change: A Case Study of Suzhou, China,2023 7th International Conference on Transportation Information and Safety (ICTIS),EI,2023,Kexin Wang,Soochow University,Xiang Wang,Xiang Wang,Soochow University,1950-1956,通讯作者
  • 8、Comparison of Cooperative Control Strategies for Freeway Merging Area under Mixed Traffic Flow with Differential Objectives,23rd COTA International Conference of Transportation Professionals,EI,2023,Xi Wang,Soochow University,Xiang Wang,Xiang Wang,Soochow University,985-996,通讯作者
  • 9、A Neural Network Based on Spatial Decoupling and Patterns Diverging for Urban Rail Transit Ridership Prediction,IEEE Transactions on Intelligent Transportation Systems,SCIE,2023,Yong Luo,Soochow University,Jianying Zheng,Xiang Wang,Jianying Zheng,Soochow University,三作
  • 10、多源数据融合的城市区域时变停车需求识别方法,交通运输工程与信息学报,科技核心,2022,昝雨尧,苏州大学,王翔,俄文娟,王翔,苏州大学,20(02),通讯作者
  • 11、Heterogeneous Traffic Flow Fundamental Diagram in Connected and Automated Environment,22nd COTA International Conference of Transportation Professionals,EI,2022,Wenjing Tina,Soochow University,Yuyao Zan,Xiang Wang,Xiang Wang,Soochow University,389-400,通讯作者
  • 12、Long-Tailed Traffic Sign Detection Using Attentive Fusion and Hierarchical Group Softmax,IEEE Transactions on Intelligent Transportation Systems,SCIE,2022,Erfeng Gao,Soochow University,Weiguo Huang,Juanjuan Shi,Weiguo Huang,Soochow University,23/12/24105-24115,四作
  • 13、Lane Change Intention Recognition for Human Driving Vehicles under Moving Bottleneck on Freeway,2022 IEEE 7th International Conference on Intelligent Transportation Engineering (ICITE),EI,2022,Yuyao Zan,Soochow University,Xiang Wang,Xiang Wang,Soochow University,586-591,通讯作者
  • 14、Temporary Parking Reservation for Trucks in Urban Commercial Districts Based on Improved Greedy Algorithm,2022 IEEE 7th International Conference on Intelligent Transportation Engineering (ICITE),EI,2022,Yi Wang,Soochow University,Xiang Wang,Xiang Wang,Soochow University,164-169,通讯作者
  • 15、Deep tree neural network for multiple‐time‐step prediction of short‐term speed and confidence estimation,IET Intelligent Transport Systems,SCIE,2021,Yanyun Tao,Soochow University,Xiang Wang,Jianying Zheng,Xiang Wang,Soochow University,15/3/446-462,通讯作者
  • 16、基于数据驱动的城市快速路段拥堵状态辨识及诱导对象选择方法,交通信息与安全,北大核心,2021,赵坡,苏州大学,吴戈,王翔,王翔,苏州大学,39/06/82-90,通讯作者
  • 17、快速路高峰期激励诱导出行——以苏州为例,世界交通运输工程技术论坛（WTC2021）,国际会议,2021,赵坡,苏州大学,施庆华,王翔,王翔,苏州大学,通讯作者
  • 18、Time-Dependent O-D Estimation of Urban Expressway with Multi-Source Data Fusion: A Case Study of Suzhou,21st COTA International Conference of Transportation Professionals,EI,2021,Sihan Wang,Soochow University,Xiang Wang,Po Zhao,Xiang Wang,Soochow University,通讯作者
  • 19、Background Noise Filtering and Clustering With 3D LiDAR Deployed in Roadside of Urban Environments,IEEE Sensors Journal,SCIE,2021,Jianying Zheng,Soochow University,Siyuan Yang,Xiang Wang,Jianying Zheng,Soochow University,21/15/20629-20639,三作
  • 20、Dual-attention network with multitask learning for multistep short-term speed prediction on expressways,Neural Computing and Applications,SCIE,2020,Yanyun Tao,Soochow University,Guoqi Yue,Xiang Wang,Xiang Wang,Soochow University,通讯作者
  • 21、Short-term Traffic Speed Prediction on Expressway Congested Segments Using Convolutional Neural Network：A Case Study of Shanghai Expressway in China,98th Annual MeetingTransportation Research Board,国际会议,2019,Xiang Wang,Soochow University,Yanyun Tao,Jinghong Xie,Yanyun Tao,Soochow University,一作
  • 22、Vehicle detection and tracking in complex traffic circumstances with roadside LiDAR,Transportation Research Record ,SCIE,2019,Zhenyao Zhang,Soochow University,Jianying Zheng,Hao Xu,Jianying Zheng; Xiang Wang,Soochow University,2673/9/62-71,共同通讯作者
  • 23、A Multitask Learning Neural Network for Short-Term Traffic Speed Prediction and Confidence Estimation,International Conference on Artificial Neural Networks(ICANN),EI；CCF C,2019,Yanyun Tao,Soochow University,Xiang Wang,Yuzhen Zhang,Xiang Wang,Soochow University,434-449,通讯作者
  • 24、Simulation-Based Dynamic Traffic Assignment Modeling for Urban Expressway Network: A Case Study of Suzhou Expressway in China,19th COTA International Conference of Transportation Professionals,EI,2019,Po Zhao,Soochow University,Xiang Wang,Ge Wu,Xiang Wang,Soochow University,通讯作者
  • 25、Cooperative Driving Control Algorithm at Non-Signalized Crossings under Condition of Internet-Connected Vehicles,18th COTA International Conference of Transportation Professionals,EI,2018,Wenjuan E,Soochow University,Xiang Wang,Yanchao Ding,Xiang Wang,Soochow University,通讯作者
  • 26、Online Prediction of Freeway Time-Dependent OD Flow: A Case Study of Jiangsu Province in China,17th COTA International Conference of Transportation Professionals,EI,2017,Xiang Wang,Soochow University,Feixiang Zhong,Lei Yang,Xiang Wang,Soochow University,一作
  • 27、Application of simulation-based dynamic traffic model on freeway network: A case study of Jiangsu province in China,95th Annual MeetingTransportation Research Board,国际会议,2016,Xiang Wang,Tongji University,Xiaohong Chen,Xiang Wang,Tongji University,一作
  • 28、基于K最近邻算法的高速公路短时行程时间预测,中国公路学报,EI,2015,王翔,同济大学,陈小鸿,杨祥妹,王翔,同济大学,28/1/102-111,一作
  • 29、Short term prediction of freeway exiting volume based on SVM and KNN,International Journal of Transportation Science and Technology,国际期刊,2015,Xiang Wang,Tongji University,Kang An,Xiaohong Chen,Kang An,Tongji University,4/3/227-352,一作
  • 30、城市轨道交通客流增长滞后性与预测方法研究,城市轨道交通研究,北大核心,2014,陈小鸿,同济大学,王翔,李佳,王翔,同济大学,11/22-27,通讯作者
  • 31、城市大型活动车队行驶特征与交通影响分析,同济大学学报（自然科学版）,EI,2013,陈小鸿,同济大学,王翔,钱昕午,王翔,同济大学,3/415-421,通讯作者