- 专利标题: Predicting safety incidents using machine learning
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申请号: US15297050申请日: 2016-10-18
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公开(公告)号: US10720050B2公开(公告)日: 2020-07-21
- 发明人: Sangick Jeon
- 申请人: Uber Technologies, Inc.
- 申请人地址: US CA San Francisco
- 专利权人: Uber Technologies, Inc.
- 当前专利权人: Uber Technologies, Inc.
- 当前专利权人地址: US CA San Francisco
- 代理机构: Fenwick & West LLP
- 主分类号: G08G1/01
- IPC分类号: G08G1/01 ; G08G1/00 ; G06N20/00
摘要:
A safety system associated with a travel coordination system collects safety data describing safety incidents by providers and generates a plurality of safety incident prediction models using the safety data. The safety incident prediction models predict likelihoods that providers in the computerized travel coordination system will be involved in safety incidents. Two types of safety incidents predicted by the safety system include dangerous driving incidents and interpersonal conflict incidents. The safety system uses the plurality of safety incident prediction models to generate a set of predictions indicating probabilities that a given provider in the travel coordination system will be involved in a safety incident in the future. The safety system selects a safety intervention for the given provider responsive to the set of predictions and performs the selected safety intervention on the given provider.
公开/授权文献
- US20180107935A1 PREDICTING SAFETY INCIDENTS USING MACHINE LEARNING 公开/授权日:2018-04-19
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