- 专利标题: SYSTEMS AND METHODS FOR ESTIMATING A TRAFFIC PATTERN FROM SPARSE DATA
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申请号: US18506352申请日: 2023-11-10
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公开(公告)号: US20240274000A1公开(公告)日: 2024-08-15
- 发明人: Rajesh Malhan , Mahdi Bandegi , Patrick Bodun , Oscar Crowley
- 申请人: Denso International America, Inc.
- 申请人地址: US MI Southfield
- 专利权人: Denso International America, Inc.
- 当前专利权人: Denso International America, Inc.
- 当前专利权人地址: US MI Southfield
- 主分类号: G08G1/01
- IPC分类号: G08G1/01 ; G06N3/0464
摘要:
Systems, methods, and other embodiments described relate to estimating a traffic pattern using learning models that process data from road sensors that are sparse. In one embodiment, a method includes forming multi-channel data from partial data and timing data about traffic on a road, the partial data acquired from road sensors. The method also includes generating an adjacency matrix from the partial data and geometry about the road. The method also includes training a graph model using temporal patterns for graph nodes from the multi-channel data and the adjacency matrix to complete the partial data and output a traffic pattern estimate.
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