Road speed calculation method based on deep learning anomaly correction

• Main Authors: HUANG ZIJING, YANG SENBIN, CHEN HUAN, YU LIAN, LUO JIANPING, DU XINKE
• Format: Patent
• Language: Chinese; English
• Published: 28.05.2024
• Subjects: ANALOGOUS ARRANGEMENTS USING OTHER WAVES; CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES; MEASURING; PHYSICS; RADIO DIRECTION-FINDING; RADIO NAVIGATION; SIGNALLING; TESTING; TRAFFIC CONTROL SYSTEMS

The invention relates to a road speed calculation method based on deep learning anomaly correction, and mainly solves two kinds of calculation bottleneck problems of low-speed, static and abnormal data caused by satellite positioning data drift and low-speed non-characterization real road conditions such as boarding and alighting. The method comprises the following steps of: 1, acquiring vehicle data of a corresponding road, judging the state of a vehicle according to the acquired data, preprocessing the acquired data, and removing the corresponding data; secondly, after corresponding data are removed, the vehicle running speed of the corresponding road is calculated, and initial speed data of the corresponding road are obtained; 3, correcting the initial speed data of the corresponding road; and 4, comprehensive speed calculation: calculating the comprehensive speed based on the weighted bagging thought and obtaining the comprehensive speed of the corresponding road section. 本发明涉及一种基于深度学习异常矫正的道路速度计算方法，本发明重点解