Assessing driver acceptance of Jakarta community towards FCW and LDW

Ahmad Zaki, Amalia Suzianti, Romadhani Ardi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication4th International Conference on Intelligent Transportation Engineering, ICITE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages109-114
Number of pages6
ISBN (Electronic)9781728145532
DOIs
Publication statusPublished - Sep 2019
Event4th International Conference on Intelligent Transportation Engineering, ICITE 2019 - Singapore, Singapore
Duration: 5 Sep 20197 Sep 2019

Publication series

Name4th International Conference on Intelligent Transportation Engineering, ICITE 2019

Conference

Conference4th International Conference on Intelligent Transportation Engineering, ICITE 2019
CountrySingapore
CitySingapore
Period5/09/197/09/19

Keywords

  • Advanced driver assistance systems
  • Driver support system
  • Forward collision warning
  • Lane departure warning
  • Technology acceptance

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