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Title: Impact of connected and automated vehicles on traffic flow

Abstract

In this paper, we investigate the impact of connected and automated vehicles (CAVs) on traffic flow at merging roadways and develop a microscopic simulation framework to explore the implications on fuel consumption and travel time. In this framework, we use optimal control to simulate the behavior of CAVs and the Gipps car following model to capture the behavior of human-driven vehicles. The simulation results show that CAVs can contribute to significant fuel consumption and travel time reduction for diverse traffic conditions under average and high congestion scenarios. Furthermore, we show that CAVs allow for more stable traffic patterns even for high density traffic.

Authors:
ORCiD logo [1];  [2]
  1. ORNL
  2. University of Delaware
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1435317
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: IEEE 20th International Conference on Intelligent Transportation Systems (ITSC) 2017 - Yokohama, , Japan - 10/16/2017 8:00:00 AM-10/19/2017 8:00:00 AM
Country of Publication:
United States
Language:
English

Citation Formats

Rios-Torres, Jackeline, and Malikopoulos, Andreas A. Impact of connected and automated vehicles on traffic flow. United States: N. p., 2018. Web. doi:10.1109/ITSC.2017.8317654.
Rios-Torres, Jackeline, & Malikopoulos, Andreas A. Impact of connected and automated vehicles on traffic flow. United States. doi:10.1109/ITSC.2017.8317654.
Rios-Torres, Jackeline, and Malikopoulos, Andreas A. Thu . "Impact of connected and automated vehicles on traffic flow". United States. doi:10.1109/ITSC.2017.8317654. https://www.osti.gov/servlets/purl/1435317.
@article{osti_1435317,
title = {Impact of connected and automated vehicles on traffic flow},
author = {Rios-Torres, Jackeline and Malikopoulos, Andreas A.},
abstractNote = {In this paper, we investigate the impact of connected and automated vehicles (CAVs) on traffic flow at merging roadways and develop a microscopic simulation framework to explore the implications on fuel consumption and travel time. In this framework, we use optimal control to simulate the behavior of CAVs and the Gipps car following model to capture the behavior of human-driven vehicles. The simulation results show that CAVs can contribute to significant fuel consumption and travel time reduction for diverse traffic conditions under average and high congestion scenarios. Furthermore, we show that CAVs allow for more stable traffic patterns even for high density traffic.},
doi = {10.1109/ITSC.2017.8317654},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {3}
}

Conference:
Other availability
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