├── README.md ├── “交通·未来”第1期-时空交通预测方法及应用20200627.pdf ├── “交通·未来”第25期-20220704以学生视角举例浅析小论文外审意见与回复思路.pdf ├── “交通·未来”第2期-Deep Traffic Prediction-PPT-20200704.pdf ├── “交通·未来”第3期-基于实时WiFi-蓝牙检测数据的交通目标定位及出行模式甄别技术.pdf ├── “交通·未来”第5期-面向交通数据的多情景空间选址优化及强化学习实践-0801.pdf ├── 第10期-基于深度学习模型的动态系统复杂数据建模方法.pdf ├── 第11期-基于海量轨迹数据的列车编队模式挖掘.pdf ├── 第12期-ASU_Zhou_A systems perspective on transportation data science-_10_29_2020.pdf ├── 第12期-ASU_Zhou_How to integrate Deep Learning Methods with Transportation Model Calibration.pdf ├── 第12期-ASU_Zhou_learning_transportation_network_modeling.pdf ├── 第13期-生成对抗网络在路网交通状态估计中的应用.pdf ├── 第14期-基于深度元学习的城市交通预测-Yuxuan.pdf ├── 第15期-科研经验交流与常用工具分享.pdf ├── 第16期-面向稀疏感知的城市时空数据挖掘.pdf ├── 第17期-深度出行感知-从区域需求预测到出行目的地预测.pdf ├── 第18期-基于机器学习的港口国监督检查选船和检查员排班预测优化模型.pdf ├── 第20期_交通路网的建模、评价及预测-报告版.pdf ├── 第21期-机器学习时代下的城市交通行为分析-日本广岛大学冯涛教授.pdf ├── 第28期-道路边缘计算单元选址问题优化问题研究-傅陈翼教授.pdf ├── 第29期-列车生态驾驶问题建模与求解的新方法-叶洪波博士.pdf ├── 第30期-实时更新出行模式的解析数据融合方法.pptx ├── 第31期 焦钰博 Driver State Modeling and Real-Time Estimation A Case Study of Driver Fatigue.pdf ├── 第32期 武鑫 Multilayered Railway Passenger Demand Estimation Considering Nested Choices A Computational Graph-based Learning Framework-share.pdf ├── 第6期-做有灵魂的交通研究.pdf ├── 第7期-当车联网数据共享遇上区块链：共识优化的视角.pdf ├── 第8期-考虑OD需求协方差的交通检测器位置优化.pdf └── 第9期-AI驱动的移动网络信息与资源的市场化管理.pdf /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/README.md -------------------------------------------------------------------------------- /“交通·未来”第1期-时空交通预测方法及应用20200627.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/“交通·未来”第1期-时空交通预测方法及应用20200627.pdf -------------------------------------------------------------------------------- /“交通·未来”第25期-20220704以学生视角举例浅析小论文外审意见与回复思路.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/“交通·未来”第25期-20220704以学生视角举例浅析小论文外审意见与回复思路.pdf -------------------------------------------------------------------------------- /“交通·未来”第2期-Deep Traffic Prediction-PPT-20200704.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/“交通·未来”第2期-Deep Traffic Prediction-PPT-20200704.pdf -------------------------------------------------------------------------------- /“交通·未来”第3期-基于实时WiFi-蓝牙检测数据的交通目标定位及出行模式甄别技术.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/“交通·未来”第3期-基于实时WiFi-蓝牙检测数据的交通目标定位及出行模式甄别技术.pdf -------------------------------------------------------------------------------- /“交通·未来”第5期-面向交通数据的多情景空间选址优化及强化学习实践-0801.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/“交通·未来”第5期-面向交通数据的多情景空间选址优化及强化学习实践-0801.pdf -------------------------------------------------------------------------------- /第10期-基于深度学习模型的动态系统复杂数据建模方法.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第10期-基于深度学习模型的动态系统复杂数据建模方法.pdf -------------------------------------------------------------------------------- /第11期-基于海量轨迹数据的列车编队模式挖掘.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第11期-基于海量轨迹数据的列车编队模式挖掘.pdf -------------------------------------------------------------------------------- /第12期-ASU_Zhou_A systems perspective on transportation data science-_10_29_2020.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第12期-ASU_Zhou_A systems perspective on transportation data science-_10_29_2020.pdf -------------------------------------------------------------------------------- /第12期-ASU_Zhou_How to integrate Deep Learning Methods with Transportation Model Calibration.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第12期-ASU_Zhou_How to integrate Deep Learning Methods with Transportation Model Calibration.pdf -------------------------------------------------------------------------------- /第12期-ASU_Zhou_learning_transportation_network_modeling.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第12期-ASU_Zhou_learning_transportation_network_modeling.pdf -------------------------------------------------------------------------------- /第13期-生成对抗网络在路网交通状态估计中的应用.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第13期-生成对抗网络在路网交通状态估计中的应用.pdf -------------------------------------------------------------------------------- /第14期-基于深度元学习的城市交通预测-Yuxuan.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第14期-基于深度元学习的城市交通预测-Yuxuan.pdf -------------------------------------------------------------------------------- /第15期-科研经验交流与常用工具分享.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第15期-科研经验交流与常用工具分享.pdf -------------------------------------------------------------------------------- /第16期-面向稀疏感知的城市时空数据挖掘.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第16期-面向稀疏感知的城市时空数据挖掘.pdf -------------------------------------------------------------------------------- /第17期-深度出行感知-从区域需求预测到出行目的地预测.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第17期-深度出行感知-从区域需求预测到出行目的地预测.pdf -------------------------------------------------------------------------------- /第18期-基于机器学习的港口国监督检查选船和检查员排班预测优化模型.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第18期-基于机器学习的港口国监督检查选船和检查员排班预测优化模型.pdf -------------------------------------------------------------------------------- /第20期_交通路网的建模、评价及预测-报告版.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第20期_交通路网的建模、评价及预测-报告版.pdf -------------------------------------------------------------------------------- /第21期-机器学习时代下的城市交通行为分析-日本广岛大学冯涛教授.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第21期-机器学习时代下的城市交通行为分析-日本广岛大学冯涛教授.pdf -------------------------------------------------------------------------------- /第28期-道路边缘计算单元选址问题优化问题研究-傅陈翼教授.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第28期-道路边缘计算单元选址问题优化问题研究-傅陈翼教授.pdf -------------------------------------------------------------------------------- /第29期-列车生态驾驶问题建模与求解的新方法-叶洪波博士.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第29期-列车生态驾驶问题建模与求解的新方法-叶洪波博士.pdf -------------------------------------------------------------------------------- /第30期-实时更新出行模式的解析数据融合方法.pptx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第30期-实时更新出行模式的解析数据融合方法.pptx -------------------------------------------------------------------------------- /第31期 焦钰博 Driver State Modeling and Real-Time Estimation A Case Study of Driver Fatigue.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第31期 焦钰博 Driver State Modeling and Real-Time Estimation A Case Study of Driver Fatigue.pdf -------------------------------------------------------------------------------- /第32期 武鑫 Multilayered Railway Passenger Demand Estimation Considering Nested Choices A Computational Graph-based Learning Framework-share.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第32期 武鑫 Multilayered Railway Passenger Demand Estimation Considering Nested Choices A Computational Graph-based Learning Framework-share.pdf -------------------------------------------------------------------------------- /第6期-做有灵魂的交通研究.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第6期-做有灵魂的交通研究.pdf -------------------------------------------------------------------------------- /第7期-当车联网数据共享遇上区块链：共识优化的视角.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第7期-当车联网数据共享遇上区块链：共识优化的视角.pdf -------------------------------------------------------------------------------- /第8期-考虑OD需求协方差的交通检测器位置优化.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第8期-考虑OD需求协方差的交通检测器位置优化.pdf -------------------------------------------------------------------------------- /第9期-AI驱动的移动网络信息与资源的市场化管理.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JinleiZhangBJTU/Transportation_with_Machine_Learning/HEAD/第9期-AI驱动的移动网络信息与资源的市场化管理.pdf --------------------------------------------------------------------------------