Improving Safety At Highway-Rail Grade Crossings Using In-Vehicle Auditory Alerts

Author:

Nadri Chihab1ORCID,Lautala Pasi2ORCID,Veinott Elizabeth S.3ORCID,Mamun Tauseef Ibne4ORCID,Dam Abhraneil5ORCID,Jeon Myounghoon6ORCID

Affiliation:

1. Mind Music Machine Lab, Department of Industrial and Systems Engineering, Virginia Tech, United States

2. Michigan Tech, United States

3. Cognitive Learning Sciences, Michigan Technological University, United States

4. Cognitive and Learning Sciences, Michigan Technological University, United States

5. ISE/Mind Music Machine Lab, Virginia Polytechnic Institute & State University, United States

6. Virginia Tech, United States

Funder

Federal Railroad Administration

Publisher

ACM

Reference11 articles.

1. Accident Prediction Accuracy Assessment for Highway-Rail Grade Crossings Using Random Forest Algorithm Compared with Decision Tree

2. Manual on uniform traffic control devices for streets and highways - 2009 edition with revisions dated May 2012 Manual on uniform traffic control devices for streets and highways - 2009 edition with revisions dated May 2012

3. D. o. T. Federal Highway Administration. FRA Office of Safety Analysis database D. o. T. Federal Highway Administration. FRA Office of Safety Analysis database

4. S. Landry , M. Jeon , P. Lautala , and D. Nelson , " Design and assessment of in-vehicle auditory alerts for highway-rail grade crossings," Transportation research part F: traffic psychology and behaviour , vol. 62 , pp. 228 - 245 , 2019 . S. Landry, M. Jeon, P. Lautala, and D. Nelson, "Design and assessment of in-vehicle auditory alerts for highway-rail grade crossings," Transportation research part F: traffic psychology and behaviour, vol. 62, pp. 228-245, 2019.

5. Speech Auditory Alerts Promote Memory for Alerted Events in a Video-Simulated Self-Driving Car Ride

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