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艾会网学术会议报告库
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Improving Actuated Traffic Signal Control using License Plate Recognition Data
The 20th and 21st joint COTA International Conference of Transportation Professionals
Nie Chunting
Beijing University of Technology
暂无会场信息
仅限参会人
张贴报告
Construction Method of AEB Pedestrian Scenario based on Accident Data
The 20th and 21st joint COTA International Conference of Transportation Professionals
Wang Xingchang
CATARC
暂无会场信息
仅限参会人
张贴报告
Industrial internet identifier resolution secondary node of international intermodal container for identity recognition
The 20th and 21st joint COTA International Conference of Transportation Professionals
Lyu Jieyin
Chang’an University
暂无会场信息
仅限参会人
张贴报告
Research on Automatic Distribution Method of Road Traffic Incidents Classification Based on Big Data Analysis
The 20th and 21st joint COTA International Conference of Transportation Professionals
zhilin li
Traffic Management Research Institute of the Ministry of Public Security
T1
仅限参会人
张贴报告
Signal Offset Optimization Using Vehicle Trajectory Data with Different Sampling Frequencies
The 20th and 21st joint COTA International Conference of Transportation Professionals
Chen Peng
Beihang University
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张贴报告
Highway accident risk identification method based on Arcgis
The 20th and 21st joint COTA International Conference of Transportation Professionals
Gu Wenchen
Chang'an Unverisity
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Intersections Control Task Scheduling based on Criticality and Timeliness for Edge Computing
The 20th and 21st joint COTA International Conference of Transportation Professionals
wang fei
Beihang University
T1
仅限参会人
张贴报告
Personalized Travel Time Estimation Based on Collaborative Block Term Decomposition
The 20th and 21st joint COTA International Conference of Transportation Professionals
Liu Shuai
Beihang university
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Quality of Service Prediction Model for Signalized Intersections Based on Deep Learning
The 20th and 21st joint COTA International Conference of Transportation Professionals
Yu Xinqi
Southeast University
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张贴报告
Macroscopic Traveling Speed Prediction of Urban Streets with Consideration of Weather Factors Based on Multilayer Time-sequence Deep Learning Models
The 20th and 21st joint COTA International Conference of Transportation Professionals
Yu Xinqi
Southeast University
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张贴报告
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