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Driver Behavior Prediction and Driver-Oriented Control of Electric Vehicles

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter introduces the concept of driving behavior modeling and its integral role in vehicle supervisory control (VSC). A comprehensive overview of driving behavior is presented, encompassing its definition, significance, research trajectory, and experimental apparatus. The significance of driver behavior within both industrial and academic realms is explicated, particularly within the context of VSC. Additionally, a theoretical framework outlining the driving behavior interaction mechanism in VSC or vehicle internal combustion engines is explored. Furthermore, several drivers’ physiological signals, such as electroencephalography, electromyography, electrodermal activity, and eye tracking are scrutinized. Based on these collected data, the mainstream driving modeling methods are discussed. Finally, integration applications on driving behavior-based VSC are analyzed.

Original languageEnglish
Title of host publicationBig Data and Electric Mobility
EditorsHaoran Zhang, Quan Zhou
PublisherCRC Press
Chapter9
Pages171-189
Number of pages19
Edition1st
ISBN (Electronic)9781003302827, 9781040298596
ISBN (Print)9781032299396, 9781032299402
DOIs
Publication statusPublished - 31 Mar 2025

Bibliographical note

Publisher Copyright:
© 2025 selection and editorial matter, Quan Zhou and Haoran Zhang.

ASJC Scopus subject areas

  • General Computer Science
  • General Engineering
  • General Energy

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