Assensing the Impact of Advanced Driver Assistance Systems (ADAS) on Road Safety an Empirical Study Using Factor Analysis

Authors

  • Anang Pramono Universitas 17 Agustus 1945 Surabaya
  • Eko Abdul Goffar Astra Polytechnic

DOI:

https://doi.org/10.26877/asset.v7i4.2371

Keywords:

ADAS, factor analysis, industry 4.0, road safety, sensor integration

Abstract

Road traffic accidents remain a critical global concern, especially in low- and middle-income countries. Advanced Driver Assistance Systems (ADAS) are introduced as proactive safety technologies in the industry 4.0 era. This study aims to assess the impact of ADAS on road safety through an empirical approach. A quantitative survey involving 260 licensed drivers was conducted, followed by qualitative interviews to provide contextual insights. The dataset was confirmed reliable (KMO = 0.82; Cronbach’s α = 0.87), and factor analysis identified four latent constructs: Collision Avoidance, Driver Behavior and Acceptance, System Reliability, and Road Safety Impact, explaining 68.5% of variance. Results indicate that collision avoidance and system reliability are the strongest predictors of user trust, while road safety impact emerges as an independent factor emphasizing societal benefits. The findings highlight that ADAS adoption should be framed not only as technological acceptance but also as a contribution to sustainable mobility and SDG 3.

Author Biographies

  • Anang Pramono, Universitas 17 Agustus 1945 Surabaya

    Departement of Informatics Engineering, Faculty of Engineering, Univeristas 17 Agustus 1945, Surabaya, 60118, Indonesia

  • Eko Abdul Goffar, Astra Polytechnic

    Departement of Informatics Management, Astra Polytechnic, Jakarta, 14330, Indonesia

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Published

2025-10-31

Issue

Vol. 7 No. 4 (2025): August-October

Section

Articles