Model development using parallel driving data collected from multiple computing systems
Model development using parallel driving data collected from multiple computing systems
- New search for: GRIFFIN JOHN F
- New search for: HAUGAARD THOMAS
- New search for: RIDEOUT TIMOTHY
- New search for: SLATTERY MICHAEL P
- New search for: GRIFFIN JOHN F
- New search for: HAUGAARD THOMAS
- New search for: RIDEOUT TIMOTHY
- New search for: SLATTERY MICHAEL P
The invention relates to model development using parallel driving data collected from multiple computing systems. Embodiments include systems, vehicles, and computer-implemented methods for developing models from parallel driving datasets to identify risk levels for events in one of the driving datasets. In an illustrative embodiment, a system includes a vehicle data system operably coupled with at least one sensor on a vehicle to collect vehicle driving data representative of driving behavior. A portable data collection module is configured to cause a portable computing system capable of transmission onboard the vehicle to collect portable driving data representative of the driving behavior. An evaluation system is configured to receive the portable driving data and the vehicle driving data, assign a risk level to at least one event included in the vehicle driving data, and correlate the vehicle driving data with the portable driving data to identify a pattern in the portable driving data that may be associated with the risk level.
本公开涉及使用从多个计算系统收集的并行驾驶数据进行的模型开发。实施方案包括用于由并行驾驶数据集开发模型以识别该驾驶数据集中的一个驾驶数据集中的事件的风险等级的系统、车辆和计算机实现的方法。在例示性实施方案中，一种系统包括与车辆上的至少一个传感器可操作地耦合以收集表示驾驶行为的车辆驾驶数据的车辆数据系统。便携式数据收集模块被配置为导致能够在车辆上输送的便携式计算系统收集表示该驾驶行为的便携式驾驶数据。评估系统被配置为接收该便携式驾驶数据和该车辆驾驶数据，为该车辆驾驶数据中包括的至少一个事件分配风险等级，以及将该车辆驾驶数据与该便携式驾驶数据相关以识别该便携式驾驶数据中可与该风险等级相关联的模式。
Document information
Model development using parallel driving data collected from multiple computing systems
使用从多个计算系统收集的并行驾驶数据进行的模型开发
2022-04-12
Patent
Electronic Resource
Chinese
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