Transport safety and human factors in the era of automation: What can transport modes learn from each other?. (September 2020)

• Record Type: Journal Article
• Authors: Papadimitriou, Eleonora; Schneider, Chantal; Aguinaga Tello, Juan; Damen, Wouter; Lomba Vrouenraets, Max; ten Broeke, Annebel
• Is Part Of: Accident analysis and prevention. Volume 144(2020)
• Publication Date: 2020-09
• Subjects: Transport automation -- Safety -- Human factors -- Road -- Aviation -- Rail -- Maritime; Accidents -- Prevention -- Periodicals; Accident Prevention -- Periodicals; Accidents -- Prévention -- Périodiques; 363.106
• DOI: 10.1016/j.aap.2020.105656
• Languages: English
• ISSNs: 0001-4575

Abstract

Highlights: Research on automation and safety is in 'silos' for each transport mode. There are several opportunities for transfer of knowledge between transport modes. Lessons from aviation on automation trust, SA and the role of training are transferable. The quantitative approach of the road sector to SA and takeover performance can be transferable. Relevant research in maritime and rail is limited. Abstract: One of the main aims of introducing automation in transport is to improve safety by reducing or eliminating human errors; it is often argued however that this may induce new types of errors. There is different level of maturity with automation in different transport modes (road, aviation, maritime and rail), however no systematic research has been conducted on the lessons learned in different sectors, so that they can be exploited for the design of safer automated systems. The aim of this paper is to review the impact of key human factors on the safety of automated transport systems, with focus on relevant experiences from different transport sectors. A systematic literature review is carried out on the following topics: the level of trust in automation – in particular the impact of mis-aligned trust, i.e. mistrust vs overreliance, the resulting impact on operator situation awareness (SA), the implications for takeover control from machine to human, and the role of experience and training on using automated transport systems. The results revealed several areas where experiences from the aviation and road domain can be transferable to other sectors. Experiences from maritime and rail transport, although limited, tend to confirm the general patterns. Remarkably, in the road sector where higher levels of automation are only recently introduced, there are clearer and more quantitative approaches to human factors, while other sectors focus only on mental modes. Other sectors could use similar approaches to define their own context-specific metrics. The paper makes a synthesis of key messages on automation safety in different transport sectors, and presents an assessment of their transferability.