The HRA-Based Road Crash Data

Abstract

Human error has played a critical role in the events precipitating the road accidents. Such accidents can be predicted and prevented by risk assessment, in particular assessing the human contribution to risk. As part of the Human Reliability Assessment (HRA) process, it is usually necessary not only to define what human errors can occur, but how often they will occur. Lack of understanding of the failure distribution characteristics of drivers on roads at any given time is a factor impeding the development of human reliability assessment and prediction of road accidents in order to take best proactive measures. The authors developed the complete investigation methodology for crash data collection. Furthermore, they have experimentally tested the proposed predictive behavioral characteristics of drivers in light of their instantaneous error rate over the course of driving period to assist processing and analysis of data collection as part of risk assessment. The findings of this research can assist road safety authorities to collect the necessary data, to better understand the behavioral characteristics of drivers on roads, to make more accurate risk assessments and finally to come up with right preventive measures.

Older Adult Drivers’ Challenges and in-Vehicle Technology Acceptance

“…To live a fulfilling independent lifestyle, older adults need to have access to goods and services as well as to social and leisure activities. Driving is the easiest, but also the riskiest, way to access these activities (Hojjati-Emami et al, 2014). The American Association of Retired Persons reported drivers over 65 make 90% of their trips in private vehicles as a primary means of transportation (Houser, 2005).…”