Development and classification of autonomous vehicle's ambiguous driving scenario.

Human drivers are gradually being replaced by highly automated driving systems, and this trend is expected to persist. The response of autonomous vehicles to Ambiguous Driving Scenarios (ADS) is crucial for legal and safety reasons. Our research focuses on establishing a robust framework for developing ADS in autonomous vehicles and classifying them based on AV user perceptions. To achieve this, we conducted extensive literature reviews, in-depth interviews with industry experts, a comprehensive questionnaire survey, and factor analysis. We created 28 diverse ambiguous driving scenarios and examined 548 AV users' perspectives on moral, ethical, legal, utility, and safety aspects. Based on the results, we grouped ADS, with all of them having the highest user perception of safety. We classified these scenarios where autonomous vehicles yield to others as moral, bottleneck scenarios as ethical, cross-over scenarios as legal, and scenarios where vehicles come to a halt as utility-related. Additionally, this study is expected to make a valuable contribution to the field of self-driving cars by presenting new perspectives on policy and algorithm development, aiming to improve the safety and convenience of autonomous driving.

A path model approach to safety compliance and personal factors among electrical workers in India.

This article reports the findings from a safety research survey conducted among the employees of a large public-sector electrical utility in the state of Kerala, India. Responses from 3017 employees were collected by one-to-one interaction using the developed instrument. Personal factors like self-esteem, job stress, personal stress, social support and fatigue of the targeted population were measured. Personal safety climate factors of the utility were accessed by modifying the existing safety climate scales. Statistical analysis confirmed the reliability and validity of the factors in the study. A significant path model of personal and safety climate factors was developed. Seven research hypotheses were validated using statistical analysis. The results of the study highlighted the need for safety participation, safety knowledge, safety training and interventions to reduce personal issues in the workplace. These findings provide valuable insights for safety professionals for implementing novel methods to ensure workplace safety.