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Title: Safety Impacts of Automated Vehicles in Mixed Traffic

Abstract

Previous research have shown that Automated Vehicles (AV) have the potential to improve transportation thanks to the possibility to perform some control functions without driver input (1). A question that remains is what are the safety impacts of the interaction between human-driven vehicles with different levels of automation at a particular intersection?The main objective of this paper is to build the behavioral framework to simulate different levels of automation and to study the safety impact of these levels under different penetration scenarios. Real-life connected vehicle data were incorporated to revise the Wiedemann car-following model and simulate the behavior of human-driven vehicles, level 3 and level 5 AVs.

Authors:
 [1];  [1];  [2]; ORCiD logo [3]
  1. The University of Tennessee, Knoxville
  2. University of Tennessee, Knoxville (UTK)
  3. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1424429
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: 2018 TRB Annual Meeting - Washington D.C., District of Columbia, United States of America - 1/7/2018 5:00:00 AM-1/11/2018 5:00:00 AM
Country of Publication:
United States
Language:
English

Citation Formats

Ramin, Arvin, Kamrani, Mohsen, Khattak, Asad, and Rios-Torres, Jackeline. Safety Impacts of Automated Vehicles in Mixed Traffic. United States: N. p., 2018. Web.
Ramin, Arvin, Kamrani, Mohsen, Khattak, Asad, & Rios-Torres, Jackeline. Safety Impacts of Automated Vehicles in Mixed Traffic. United States.
Ramin, Arvin, Kamrani, Mohsen, Khattak, Asad, and Rios-Torres, Jackeline. Mon . "Safety Impacts of Automated Vehicles in Mixed Traffic". United States. https://www.osti.gov/servlets/purl/1424429.
@article{osti_1424429,
title = {Safety Impacts of Automated Vehicles in Mixed Traffic},
author = {Ramin, Arvin and Kamrani, Mohsen and Khattak, Asad and Rios-Torres, Jackeline},
abstractNote = {Previous research have shown that Automated Vehicles (AV) have the potential to improve transportation thanks to the possibility to perform some control functions without driver input (1). A question that remains is what are the safety impacts of the interaction between human-driven vehicles with different levels of automation at a particular intersection?The main objective of this paper is to build the behavioral framework to simulate different levels of automation and to study the safety impact of these levels under different penetration scenarios. Real-life connected vehicle data were incorporated to revise the Wiedemann car-following model and simulate the behavior of human-driven vehicles, level 3 and level 5 AVs.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {1}
}

Conference:
Other availability
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