Human error taxonomies applied to driving: A generic driver error taxonomy and its implications for intelligent transport systems

By Neville A Stanton, Paul M. Salmon. 2009

343 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/153b5b75aef52c592ea3657295263340ff05246a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Mohammad Saifuzzaman
2. Tal Oron-Gilad
3. Zuduo Zheng
4. Shanee Honig

Citations in the corpus

• Incorporating human-factors in car-following models : a review of recent developments and research needs (2014, background): “While research shows that driver error contributes to up to 75% of all roadway crashes (Stanton and Salmon, 2009), few CF models can capture driver behavior in various driving conditions, especially in crash-prone conditions, such as traffic breakdowns, the undertaking of risk-taking behaviors,…”
• Understanding and Resolving Failures in Human-Robot Interaction: Literature Review and Model Development (2018, background): “These representations lead to expectations, which in turn direct perception and behavior (Stanton, 2009).”