Banca de DEFESA: GABRIEL MARTINS DE CASTRO

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : GABRIEL MARTINS DE CASTRO
DATE: 30/01/2025
TIME: 14:00
LOCAL: Apresentação Híbrida (Sala virtual e sala A1 12/6 - Anexo SG 12)
TITLE:

CHARACTERIZATION OF HUMAN FACTORS IN THE USE OF ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS): A BEHAVIORAL STUDY

KEY WORDS:

ADAS; Driver characteristics; Driver behavior; Physiological signals

PAGES: 119
BIG AREA: Engenharias
AREA: Engenharia de Transportes
SUMMARY:

Advanced Driver Assistance Systems (ADAS) are technologies that automate, facilitate, and improve the vehicle’s systems. Indeed, these systems directly interfere with braking, acceleration, and drivability of driving operations. These technologies directly reflect the psychology behind driving a vehicle, which can have an automation level that varies from fully manual (Level 0) to fully autonomous (Level 5). Even though ADAS systems provide safer driving, it is still a challenge to understand the complexity of human factors that influence and interact with these technologies. Also, there has been limited exploration of the correlation between the physical and cognitive reactions of the drivers and the characteristics of Brazilian roads and traffic. Objective: This work aims to analyze and characterize the human factors related to driver behavior while driving a vehicle with level 2 of automation, regarding the Lane Keeping Assist System (LKAS) and Forward Collision Warning System (FCWS), on roads in the Distrito Federal (DF).
Method: The driver and vehicle instrumentation were developed to conduct the study. The driver instrumentation was designed to be related to five physiological signals: heart rate, breathing, galvanic skin response, muscle activity, and brain activity. The study used tests in real traffic situations and virtual simulations to validate the designed data acquisition circuit. The driver behavior questionnaire was applied to select a driver group among the participants and identify the individual’s characteristics and relevant behavior trends. Results: In general, the results showed that drivers tend to rate themselves quite positively, although they admit to being prone to committing traffic errors and violations.
Furthermore, it was noted that the driver and vehicle interaction varies between participants, suggesting that behavior factors could directly affect the physiological response while driving. Thus, the case study showed that the previous driver’s experience with the vehicle’s systems technologies could impact the physiological response. Notwithstanding, the results showed the complexity inherent to emotional and cognitive states related to driving, as aspects such as velocity, the capacity to maintain the velocity, and the car’s acceleration and deceleration patterns could be associated with the driver’s characteristics. Conclusions: The research proved helpful in establishing a way to identify specific patterns that characterize the driver in the vehicle-driver environment. Moreover, it presented a preliminary evaluation of physiological responses relating to safety systems activated in the Brazilian traffic scenario, playing a role in understanding human factors in using driver assistance systems.

COMMITTEE MEMBERS:
Externo ao Programa - 2772128 - EVANDRO LEONARDO SILVA TEIXEIRA - nullExterno à Instituição - MAX MAURO DIAS SANTOS - UTFPR
Interno - 1552603 - PASTOR WILLY GONZALES TACO
Presidente - 2493326 - RITA DE CASSIA SILVA