Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data

TL;DR

This study compares literature review and consumer complaint data to analyze ADAS limitations, revealing complementary insights into causes and effects, and highlighting areas for future improvements.

Contribution

It uniquely combines literature review with natural language processing of complaints to identify ADAS issues and compare academic and consumer perspectives.

Findings

Similar cause categories identified in literature and complaints

Academic focus on human factors, complaints on vehicle factors

Complementary insights for ADAS improvement

Abstract

Advanced driver assistance systems (ADAS) are designed to improve vehicle safety. However, it is difficult to achieve such benefits without understanding the causes and limitations of the current ADAS and their possible solutions. This study 1) investigated the limitations and solutions of ADAS through a literature review, 2) identified the causes and effects of ADAS through consumer complaints using natural language processing models, and 3) compared the major differences between the two. These two lines of research identified similar categories of ADAS causes, including human factors, environmental factors, and vehicle factors. However, academic research focused more on human factors of ADAS issues and proposed advanced algorithms to mitigate such issues while drivers complained more of vehicle factors of ADAS failures, which led to associated top consequences. The findings from these two sources tend to complement each other and provide important implications for the improvement of ADAS in the future.