Literature Review: Analisis Pengaruh Teknologi Advanced Driver Assistance System (ADAS) dalam Keselamatan Berkendara

Prakosa, Dzaki Putra; Hasyim, Iqbal Nur; Putri, Anisa; Nugraha, Viky Dwi; Fahrezi, Zufar Ahmad; Fitriani, Nurul · 2025 · Crossref

DOI: 10.34010/jati.v15i2.16718

archive: archived pipeline: cataloged verified

Get this paper ↗ (DOI — opens at the source; we link to it, we don't host it)

Summary

This literature review analyzes the impact of Advanced Driver Assistance Systems (ADAS) on driving safety, specifically addressing the tension between their potential to reduce human error and the challenges of implementation in developing countries like Indonesia. Motivated by the fact that human error causes approximately 90% of traffic accidents, resulting in over 1.35 million deaths globally annually, the study investigates whether ADAS technologies—such as Forward Collision Warning (FCW), Automatic Emergency Braking (AEB), Blind-Spot Detection (BSD), Adaptive Cruise Control (ACC), and Lane Departure Warning (LDW)—can effectively mitigate these risks in diverse traffic environments. The authors employed a qualitative systematic literature review methodology, analyzing scientific publications from 2010 to 2025 sourced from databases including Google Scholar, ScienceDirect, and IEEE Xplore. The selection process focused on empirical data and conceptual reviews regarding ADAS efficacy, driver behavior, and infrastructure readiness. The analysis followed a six-stage process: problem identification, literature collection, screening, data extraction, interpretive analysis, and conclusion formulation. The review synthesized findings on technological features, psychological factors influencing adoption, and infrastructural constraints. The findings indicate that ADAS significantly reduces frontal collisions, enhances driver awareness, and lowers crash fatality rates in controlled or regulated environments. However, the influence of ADAS is described as ambivalent. In dense, irregular traffic conditions dominated by two-wheelers, such as those in Indonesia, ADAS may introduce new risks. Features like AEB can trigger frequent sudden braking or rear-end collisions due to unpredictable driver behaviors and poor road infrastructure, including inconsistent signage and road defects. Furthermore, the review highlights that successful implementation depends on synergistic factors: technological adaptation, regulatory readiness, and driver education. Psychological variables, including performance expectancy, trust, and effort expectancy, significantly moderate user acceptance, while demographic factors like gender and experience also play roles. The study concludes that while ADAS is effective in mitigating specific crash types, its benefits in non-toll, high-density traffic scenarios are limited without complementary measures. The authors emphasize that maximizing safety requires more than technological deployment; it necessitates robust supporting infrastructure, clear regulations regarding vehicle age and compatibility, and comprehensive driver education. The review underscores the need for adaptive system designs that account for local traffic characteristics and the critical importance of aligning technological development with policy and cultural readiness to prevent secondary accidents and ensure optimal safety outcomes.

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed.

StageOutcomeToolModelPromptAttemptsCompleted
discover success Crossref 1 2026-08-09
archive success unpaywall 2 2026-08-09
extract success pdftotext 4 2026-08-10
clean success clean 2 2026-08-10
chunk success chunk 2 2026-08-10
embed success embed Qwen/Qwen3-Embedding-8B 2 2026-08-10
promote success 1 2026-08-09
summarize success llm qwen3.6-27b-nvidia summ-v5 2 2026-08-10
tag success vector_similarity 17 2026-08-11
verify success 2 2026-08-10

Summary generated by qwen3.6-27b-nvidia on 2026-08-10; verification: verified.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.