Traffic situation prediction method and system based on panoramic segmentation
Traffic situation prediction method and system based on panoramic segmentation
- Neue Suche nach: YAN JUN
- Neue Suche nach: XIANG YANPING
- Neue Suche nach: YAN JUN
- Neue Suche nach: XIANG YANPING
The invention provides a traffic situation prediction method and system based on panoramic segmentation, and relates to the technical field of traffic prediction, and the method comprises the steps: carrying out the continuous panoramic image collection of a first road, building a time window, obtaining a first panoramic image sequence, carrying out the panoramic segmentation of the first panoramic image sequence, and calculating the average vehicle speed; and then counting the number of vehicle pixels in a road area, obtaining traffic flow, and obtaining traffic situation information. The technical problems that the data processing amount is large, the data support is insufficient, the prediction method is not advanced enough, the prediction range is too limited, and the dynamic adaptability is lacked are mainly solved. Panoramic segmentation is carried out on the image, average vehicle speed is calculated, and vehicle speed statistics is carried out to obtain traffic flow. And the prediction accuracy and reliability are improved, so that the method can better serve urban planning and traffic management.
本申请提供了基于全景分割的交通态势预测方法及系统，涉及交通预测技术领域，所述方法包括：先对第一道路进行连续全景图像采集，然后建立时间窗口，获得第一全景图像序列，对此进行全景分割，计算平均车速，然后统计道路区域的车辆像素数量，获取车流量，获得交通态势信息。本申请主要解决了数据处理量较大、数据支撑不足、预测方法不够先进、预测范围过于局限、缺乏动态适应性的技术问题。通过对图像进行全景分割，计算平均车速，统计车速获取车流量。提高了预测的精准度和可靠性，以更好地服务于城市规划和交通管理。
Dokumentinformationen
Traffic situation prediction method and system based on panoramic segmentation
基于全景分割的交通态势预测方法及系统
2024-02-06
Patent
Elektronische Ressource
Chinesisch
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