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 language | English |
|---|---|
| Title of host publication | Big Data and Electric Mobility |
| Editors | Haoran Zhang, Quan Zhou |
| Publisher | CRC Press |
| Chapter | 9 |
| Pages | 171-189 |
| Number of pages | 19 |
| Edition | 1st |
| ISBN (Electronic) | 9781003302827, 9781040298596 |
| ISBN (Print) | 9781032299396, 9781032299402 |
| DOIs | |
| Publication status | Published - 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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