Study on Crash Injury Severity Prediction of Autonomous Vehicles for Different Emergency Decisions Based on Support Vector Machine Model

Study on Crash Injury Severity Prediction of Autonomous Vehicles for Different Emergency Decisions Based on Support Vector Machine Model

Motor vehicle crashes remain a leading cause of life and property loss to society. Autonomous vehicles can mitigate the losses by making appropriate emergency decision, and the crash injury severity prediction model is the basis for autonomous vehicles to make decisions in emergency situations. In t...

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Bibliographic Details
Main Authors: Yaping Liao, Junyou Zhang, Shufeng Wang, Sixian Li, Jian Han
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Electronics
Subjects:
autonomous vehicle
crash injury severity prediction
support vector machine model
emergency decisions
relative speed
total vehicle mass of the front vehicle
Online Access:https://www.mdpi.com/2079-9292/7/12/381

Internet

https://www.mdpi.com/2079-9292/7/12/381

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