车端交通流预测方法、装置、存储介质和车辆
By selecting target and reference vehicles from on-vehicle sensors and determining their following status, and using a non-free-roaming state analysis method, the problem of inaccurate lane-level traffic flow prediction is solved, thereby improving the decision-making accuracy of the assisted driving system and the user experience.
CN114005279BActive Publication Date: 2026-07-17NIO TECH ANHUI CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NIO TECH ANHUI CO LTD
- Filing Date
- 2021-11-11
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing technologies struggle to accurately predict lane-level traffic flow information using onboard sensors, leading to inaccurate decisions by driver assistance systems.
Method used
By selecting target vehicles and reference vehicles, obtaining their vehicle information and determining whether they are in a following state, and using the non-free driving state analysis method, the non-free driving state discrimination indicator is calculated to determine whether the target vehicle represents the average speed of the lane.
Benefits of technology
It achieves more accurate lane-level traffic flow prediction, improves the decision-making accuracy of the driver assistance system, and enhances the user experience.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN114005279B_ABST
Abstract
本发明属于智能驾驶领域，具体提供一种车端交通流预测方法、装置、存储介质和车辆，旨在解决如何通过车端的传感器获取目标车道的车辆信息，并准确预测车道级交通流的问题。为此目的，本发明的方法包括：选取目标车辆和参考车辆，并获取相应的车辆信息；根据车辆信息，以及目标车辆相对于参考车辆的非自由行驶状态，判断目标车辆是否处于跟随状态，并预测目标车道的交通流。应用本发明的方法，根据跟驰理论，判断目标车辆的运动速度是否可以代表该车道的平均车速，从而得到更加准确的车道级交通流信息，为智能驾驶提供更为准确的数据支持。
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