交通感知与大数据
时间（Time）：2025-06-13 08:50 - 10:30
地点（Room）：墙报互动区6
方向：交通工程
报告安排/Program
Scene Adaptation in Adverse Conditions: a Multi-sensor Fusion Framework for Roadside Traffic Perception
报告人
戴喆 长安大学
DAI Zhe, Chang'an University
DAI Zhe, Chang'an University
成渝城市群旅客联程出行选择行为研究
Passenger Choice Behavior in Coordinated Transportation: A Case Study of the Chengdu-Chongqing Urban Agglomeration
报告人
杜伟鹏 重庆交通大学交通运输学院
WEIPENG Du, College of Traffic and Transportation, Chongqing Jiaotong University
WEIPENG Du, College of Traffic and Transportation, Chongqing Jiaotong University
Is Automated Vehicle the Solution to Impaired Driving? Insights from a Statewide Survey Study
报告人
谯抒佳 重庆交通大学
SHUJIA Qiao, Chongqing Jiaotong University
SHUJIA Qiao, Chongqing Jiaotong University
考虑信号约束的空中交通流量管理综述
A Review of Air Traffic Flow Management Considering Commnication Constraints
报告人
石嘉俊 东南大学
JIAJUN Shi, Southeast University
JIAJUN Shi, Southeast University
基于YOLOv8的夜间小目标车辆航姿检测
Attitude Detection of Small Target Vehicles at Night Based on YOLOv8
报告人
廖方正 重庆交通大学
LIAO Fangzheng, Chongqing Jiaotong University
LIAO Fangzheng, Chongqing Jiaotong University
基于SF-LSTM的交通信息变异熵预测模型研究
Characterization of Traffic Flow Disorder via Variational Entropy and Spatial-Fusioned LSTM Prediction
报告人
王者浩 东南大学交通学院
WANG Zhehao, School of Transportation, Southeast University
WANG Zhehao, School of Transportation, Southeast University
Risky Driving Behavior Prediction Based on Spatiotemporal Features of Trajectories and Driver Emotions
报告人
刘晓龙 山东理工大学
LIU Xiaolong, Shandong University of Technology
LIU Xiaolong, Shandong University of Technology
Driver Anger Emotion Recognition Based on Feature Extraction Method
报告人
王明宇 山东理工大学
WANG Mingyu, Shandong University of Technology
WANG Mingyu, Shandong University of Technology
Influencing Factors and Intervention Methods of Motor Vehicle Yielding Behavior at Unsignalized Pedestrian Crosswalks on Arterial Road Segments
报告人
王智芳 山东理工大学
WANG Zhifang, Shandong University of Technology
WANG Zhifang, Shandong University of Technology
基于深度学习与路网分区的城市短时交通状态预测：以徐州市为例
Urban short-term traffic state prediction based on Deep Learning and road network partition: A Case study of Xuzhou
报告人
徐政 淮阴工学院
XU Zheng, Huaiyin Institute of Technology
XU Zheng, Huaiyin Institute of Technology