TITLE:
Vehicles, Advanced Features, Driver Behavior, and Safety: A Systematic Review of the Literature
AUTHORS:
Raghuveer Prasad Gouribhatla, Srinivas Subrahmanyam Pulugurtha
KEYWORDS:
Vehicle, Advanced Driver Assistance System, Automated, Driver, Behavior, Safety
JOURNAL NAME:
Journal of Transportation Technologies,
Vol.12 No.3,
July
21,
2022
ABSTRACT: Driver errors contribute to more than 94% of traffic crashes. Automotive companies are striving to enhance their vehicles to eliminate driver
errors and reduce the number of crashes. Various advanced features like lane departure warning (LDW), blind spot warning (BSW),
over speed warning (OSW), forward collision warning (FCW), lane keep
assist (LKA), adaptive cruise control (ACC), cooperative ACC (CACC), and
automated emergency braking (AEB) are designed to assist with, or in some cases
take over, certain driving maneuvers. They can be broadly categorized into
advanced driver assistance system (ADAS) and
automated features. Each of these advanced features focuses on addressing a
particular task of driving, thereby, aiding the driver, influencing their
behavior, and enhancing safety. Many vehicles with these advanced features are
penetrating into the market, yet the total reported number of crashes has
increased in recent years. This paper presents a systematic review of these advanced features on driver behavior and safety.
The review is categorized into 1) survey and mathematical methods to assess
driver behavior, 2) field test methods to assess driver behavior, 3) microsimulation methods to assess driver
behavior, 4) driving simulator methods to assess driver behavior, and 5) driver
understanding and the effectiveness of advanced features. It is followed
by conclusions, knowledge gaps, and need for further research.