Invention Grant
US07948400B2 Predictive models of road reliability for traffic sensor configuration and routing
有权
交通传感器配置和路由的道路可靠性预测模型
- Patent Title: Predictive models of road reliability for traffic sensor configuration and routing
- Patent Title (中): 交通传感器配置和路由的道路可靠性预测模型
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Application No.: US11771205Application Date: 2007-06-29
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Publication No.: US07948400B2Publication Date: 2011-05-24
- Inventor: Eric J. Horvitz , Sridhar Srinivasan
- Applicant: Eric J. Horvitz , Sridhar Srinivasan
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Wolf, Greenfield & Sacks, P.C.
- Main IPC: G08G1/065
- IPC: G08G1/065

Abstract:
Methods for decision making about sensor location/configuration for traffic sensing and routing are described. Construction of predictive models via machine learning that infer variance of road speeds, in general or for specific contexts (e.g., rush hours for a traffic system) occurs. The predictive models for road reliability are built from libraries of data about sensed variances and road segments. The datasets include information for road segments monitored by fixed sensors/moving probes, road segment properties, geometric relationships among road segments, and proximal resources. Road segments are labeled by the sensed variance seen in traffic speeds over similar contexts. A model is created that can apply estimates of the variance of the traffic speed for a segment, including non-sensed segments via generalization to non-sensed road segments. Methods are described for employing the predictive models of variance, along with demand and propagation models, to make decisions about configuration of sensors.
Public/Granted literature
- US20090002195A1 SENSING AND PREDICTING FLOW VARIANCE IN A TRAFFIC SYSTEM FOR TRAFFIC ROUTING AND SENSING Public/Granted day:2009-01-01
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