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Fisher DL, Agrawal R, Divekar G, Hamid MA, Krishnan A, Mehranian H, Muttart J, Pradhan A, Roberts S, Romoser M, Samuel S, Vlakveld W, Yamani Y, Young J, Zafian T, Zhang L. Novice driver crashes: The relation between putative causal factors, countermeasures, real world implementations, and policy - A case study in simple, scalable solutions. ACCIDENT; ANALYSIS AND PREVENTION 2024; 198:107397. [PMID: 38271896 DOI: 10.1016/j.aap.2023.107397] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 09/17/2023] [Accepted: 11/21/2023] [Indexed: 01/27/2024]
Abstract
Novice drivers are at a greatly inflated risk of crashing. This led in the 20th century to numerous attempts to develop training programs that could reduce their crash risk. Yet, none proved effective. Novice drivers were largely considered careless, not clueless. This article is a case study in the United States of how a better understanding of the causes of novice driver crashes led to training countermeasures targeting teen driving behaviors with known associations with crashes. These effects on behaviors were large enough and long-lasting enough to convince insurance companies to develop training programs that they offered around the country to teen drivers. The success of the training programs at reducing the frequency of behaviors linked to crashes also led to several large-scale evaluations of the effect of the training programs on actual crashes. A reduction in crashes was observed. The cumulative effect has now led to state driver licensing agencies considering as a matter of policy both to include items testing the behaviors linked to crashes on licensing exams and to require training on safety critical behaviors. The effort has been ongoing for over a quarter century and is continuing. The case study highlights the critical elements that made it possible to move from a paradigm shift in the understanding of crash causes to the development and evaluation of crash countermeasures, to the implementation of those crash countermeasures, and to subsequent policy changes at the state and federal level. Key among these elements is the development of simple, scalable solutions.
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Affiliation(s)
- Donald L Fisher
- University of Massachusetts Amherst, Amherst, MA 01003, United States; Volpe National Transportation Systems Center, Cambridge, MA 02142, United States.
| | | | | | - Malek Abdul Hamid
- Department of Manufacturing and Materials Engineering, International Islamic University Malaysia, Kuala Lumpur, Malaysia
| | | | | | - Jeff Muttart
- Driver Research Institute, East Hampton, CT, USA
| | - Anuj Pradhan
- University of Massachusetts Amherst, Amherst, MA 01003, United States
| | - Shannon Roberts
- University of Massachusetts Amherst, Amherst, MA 01003, United States
| | | | - Siby Samuel
- University of Waterloo, College of Enigneering, Waterloo, Ontario, Canada
| | | | - Yusuke Yamani
- Old Dominion University, Department of Psychology, Norfolk, VA, USA
| | - Jared Young
- Volpe National Transportation Systems Center, Cambridge, MA 02142, United States
| | - Tracy Zafian
- University of Massachusetts Amherst, Amherst, MA 01003, United States
| | - Lisa Zhang
- Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, PR China
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Roberts SC, Hanson W, Ebadi Y, Talreja N, Knodler MA, Fisher DL. Evaluation of a 3M (mistakes, mentoring, and mastery) training program for transfer of control situations in a level 2 automated driving system. APPLIED ERGONOMICS 2024; 116:104215. [PMID: 38176134 DOI: 10.1016/j.apergo.2023.104215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 12/11/2023] [Accepted: 12/20/2023] [Indexed: 01/06/2024]
Abstract
Drivers must actively supervise automation as it can only function in limited conditions. A failure to supervise the system has negative consequences in terms of missed requests to take over control and may cause crashes or jeopardize safety. The objective of this study is to determine the effect of a novel, 3M (Mistakes, Mentoring, and Mastery) training program on drivers' behavior while using level 2 driving automation systems. To achieve this, 36 participants were assigned randomly to three different training programs (3M training, User manual, and Placebo) and drove through scenarios on a fixed-based driving simulator. The results showed that drivers in the 3M training group took back control more effectively when the driving automation system reached its limits compared to drivers who received User manual or Placebo training. Drivers in the 3M training Group also had higher situation awareness and improved trust in automation. The results indicate that an interactive approach to training with regards to vehicle automation can help drivers more safely interact with automation systems.
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Affiliation(s)
- Shannon C Roberts
- University of Massachusetts Amherst, 160 Governors Drive, Amherst MA, 01002, USA.
| | - William Hanson
- University of Massachusetts Amherst, 160 Governors Drive, Amherst MA, 01002, USA.
| | | | - Nandni Talreja
- University of Massachusetts Amherst, 160 Governors Drive, Amherst MA, 01002, USA.
| | - Michael A Knodler
- University of Massachusetts Amherst, 160 Governors Drive, Amherst MA, 01002, USA.
| | - Donald L Fisher
- Volpe National Transportation Systems Center, 55 Broadway, Cambridge, MA, 02142, USA.
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