New driver workload prediction using clustering-aided approaches

Awareness of driver workload plays a paramount role in enhancing driving safety and convenience for intelligent vehicles. The Driver Workload Prediction Systems (DWPSs) proposed so far learn either from individual driver’s data (termed personalized system) or existing drivers’ data indiscriminately...

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Bibliographic Details
Main Authors: Dewei Yi, Jinya Su, Cunjia Liu, Wen-Hua Chen
Format: Default Article
Published: 2018
Subjects:
Other engineering not elsewhere classified
Clustering
Classification and regression tree
Multiple model
Workload inference
Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/35036
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https://hdl.handle.net/2134/35036

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