An Exploratory Analysis of Crashes Involving Autonomous Vehicles

Author:

Pamidimukkala Apurva123,Kermanshachi Sharareh123,Patel Ronik123

Affiliation:

1. Ph.D. Student, Dept. of Civil Engineering, Univ. of Texas at Arlington, Arlington, TX.

2. Associate Professor, Dept. of Civil Engineering, Univ. of Texas at Arlington, Arlington, TX.

3. Postdoctoral Candidate, Dept. of Civil Engineering, Univ. of Texas at Arlington, Arlington, TX.

Publisher

American Society of Civil Engineers

Reference24 articles.

1. Alambeigi, H., McDonald, A. D., and Tankasala, S. R. 2020. Crash Themes in Automated Vehicles: A Topic Modeling Analysis of the California Department of Motor Vehicles Automated Vehicle Crash Database.

2. Exploratory analysis of automated vehicle crashes in California: A text analytics & hierarchical Bayesian heterogeneity-based approach;Boggs A. M.;Accident Analysis & Prevention,2020

3. Control task substitution in semi-automated driving: does it matter what aspects are automated?;Carsten O.;Hum. Factors,2012

4. Application of Fractal theory for crash rate prediction: Insights from random parameters and latent class tobit models

5. Automated vehicles and pedestrian safety: exploring the promise and limits of pedestrian detection;Combs T. S.;Am. J. Prev. Med,2019

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