TY - GEN
T1 - Assessing driver acceptance of Jakarta community towards FCW and LDW
AU - Zaki, Ahmad
AU - Suzianti, Amalia
AU - Ardi, Romadhani
PY - 2019/9
Y1 - 2019/9
N2 - As one of the most populous capitals in the world, Jakarta experiences rapid population growth every year which is followed by increasing number of vehicles rapidly too. The problem arise when Jakarta was named as one of the cities not comfortable to drive based on Driver Satisfaction Index 2016 released by Waze (3,37 out of 10) and around 98 thousands accidents occurred in 2017. Advanced Driver Assistance Systems (ADAS) aims to enhance driver performance and improve safety. ADAS can alert and intervene as needed when facing certain situations. Two systems were investigated in this study, Forward Collision Warning and Lane Departure Warning. Therefore, the purpose of this research was to measure driver acceptance using these systems and discovered the factors that affecting behavioral intention to adopt the systems. Through the results of the study found three latent variables with twelves measured variables that are influential factors on the driver's intention to use the systems. Recommendations for increasing driver acceptance become the final part obtained based on evaluation of variables that are not significant.
AB - As one of the most populous capitals in the world, Jakarta experiences rapid population growth every year which is followed by increasing number of vehicles rapidly too. The problem arise when Jakarta was named as one of the cities not comfortable to drive based on Driver Satisfaction Index 2016 released by Waze (3,37 out of 10) and around 98 thousands accidents occurred in 2017. Advanced Driver Assistance Systems (ADAS) aims to enhance driver performance and improve safety. ADAS can alert and intervene as needed when facing certain situations. Two systems were investigated in this study, Forward Collision Warning and Lane Departure Warning. Therefore, the purpose of this research was to measure driver acceptance using these systems and discovered the factors that affecting behavioral intention to adopt the systems. Through the results of the study found three latent variables with twelves measured variables that are influential factors on the driver's intention to use the systems. Recommendations for increasing driver acceptance become the final part obtained based on evaluation of variables that are not significant.
KW - Advanced driver assistance systems
KW - Driver support system
KW - Forward collision warning
KW - Lane departure warning
KW - Technology acceptance
UR - http://www.scopus.com/inward/record.url?scp=85074910319&partnerID=8YFLogxK
U2 - 10.1109/ICITE.2019.8880166
DO - 10.1109/ICITE.2019.8880166
M3 - Conference contribution
T3 - 4th International Conference on Intelligent Transportation Engineering, ICITE 2019
SP - 109
EP - 114
BT - 4th International Conference on Intelligent Transportation Engineering, ICITE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Intelligent Transportation Engineering, ICITE 2019
Y2 - 5 September 2019 through 7 September 2019
ER -