Evaluating effectiveness and acceptance of advanced driving assistance systems using field operational test

Badweeti, Kasi Nayana; Malaghan, Vinayak Devendra; Pawar, Digvijay Sampatrao; Easa, Said · 2023 · Crossref

DOI: 10.26599/jicv.2023.9210005

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Summary

This study investigates the effectiveness and user acceptance of Advanced Driving Assistance Systems (ADAS) in heterogeneous Indian traffic conditions, addressing inconsistencies in prior research regarding driver characteristics and road environments. Motivated by the high incidence of road collisions due to driver inattention and the novelty of ADAS in India, the research evaluates how age, gender, occupation, and road type influence system performance and adoption. The study specifically examines three ADAS features: Lane Departure Warning (LDW), Forward Collision Warning (FCW), and Traffic Speed Recognition Warning (TSRW). The methodology employed a Field Operational Test (FOT) involving 30 participants with at least two years of driving experience and no prior ADAS exposure. Participants were categorized by age (young, middle, old), gender, and occupation (professional/non-professional). Each participant drove an instrumented test vehicle twice: once in a "stealth phase" with ADAS disabled and once in an "active phase" with ADAS enabled. The test route in Hyderabad, India, comprised 41.15 km across three distinct environments: expressway (20.60 km), semi-urban road (13.35 km), and urban road (7.2 km). Data collection included vehicle kinematics via GPS and laser sensors, as well as subjective feedback through a post-experiment questionnaire using a 7-point Likert scale. The study utilized the Technology Acceptance Model (TAM) to quantify user acceptance based on perceived usefulness and ease of use, while statistical tests assessed changes in driving behavior metrics such as lane departures and time headway. The results revealed statistically significant differences in both the effectiveness and acceptance of ADAS across various demographic and environmental factors. Male participants demonstrated significant improvements in lateral driving behavior compared to females. Older drivers reported the highest acceptance scores for the technology, surpassing middle-aged and young drivers. In terms of feature preference, subjective ratings ranked the assistance features in descending order of acceptance: TSRW, followed by LDW, and then FCW. The study found that ADAS effectiveness varied by road type, with acceptance and performance metrics differing significantly between expressways, urban, and semi-urban roads. The significance of this research lies in its contribution to understanding ADAS efficacy in heterogeneous traffic conditions, a context underrepresented in existing literature. By demonstrating that driver characteristics and road environments significantly impact ADAS acceptance and effectiveness, the findings provide empirical evidence to support policy development and infrastructure planning. The study suggests that tailored approaches may be necessary to induce public trust and promote the adoption of ADAS technologies to improve road traffic safety in India.

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Topics

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• adas effectiveness
• acceptance adoption
• behavioral adaptation risk compensation

Information type

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• Empirical Findings: observational prevalence, self report data
• Methodological Resource: tool software