skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Impact of Partial Penetrations of Connected and Automated Vehicles on Fuel Consumption and Traffic Flow

Abstract

This paper addresses the problem of analyzing the effects of partial penetrations of optimally coordinated connected and automated vehicles (CAVs) on fuel consumption and travel time under low, medium, and heavy traffic volumes. We develop a microscopic simulation framework to enhance our understanding of the interactions between human-driven vehicles and CAVs in a merging on-ramp scenario. We show that fuel consumption is adversely affected for medium and high traffic while benefits are realized for travel time under the same traffic conditions. As a result, we also show that higher penetrations of CAVs contribute to more stable traffic patterns.

Authors:
ORCiD logo [1]; ORCiD logo [2]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Univ. of Delaware, Newark, DE (United States)
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:
1492178
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
IEEE Transactions on Intelligent Vehicles
Additional Journal Information:
Journal Volume: 3; Journal Issue: 4; Journal ID: ISSN 2379-8858
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; connected and automate vehicles (CAVs); merging highways; on-ramps; traffic analysis; cooperative merging control; car following; fundamental diagram; optimal control; energy implications

Citation Formats

Rios-Torres, Jackeline, and Malikopoulos, Andreas A. Impact of Partial Penetrations of Connected and Automated Vehicles on Fuel Consumption and Traffic Flow. United States: N. p., 2018. Web. doi:10.1109/TIV.2018.2873899.
Rios-Torres, Jackeline, & Malikopoulos, Andreas A. Impact of Partial Penetrations of Connected and Automated Vehicles on Fuel Consumption and Traffic Flow. United States. doi:10.1109/TIV.2018.2873899.
Rios-Torres, Jackeline, and Malikopoulos, Andreas A. Thu . "Impact of Partial Penetrations of Connected and Automated Vehicles on Fuel Consumption and Traffic Flow". United States. doi:10.1109/TIV.2018.2873899.
@article{osti_1492178,
title = {Impact of Partial Penetrations of Connected and Automated Vehicles on Fuel Consumption and Traffic Flow},
author = {Rios-Torres, Jackeline and Malikopoulos, Andreas A.},
abstractNote = {This paper addresses the problem of analyzing the effects of partial penetrations of optimally coordinated connected and automated vehicles (CAVs) on fuel consumption and travel time under low, medium, and heavy traffic volumes. We develop a microscopic simulation framework to enhance our understanding of the interactions between human-driven vehicles and CAVs in a merging on-ramp scenario. We show that fuel consumption is adversely affected for medium and high traffic while benefits are realized for travel time under the same traffic conditions. As a result, we also show that higher penetrations of CAVs contribute to more stable traffic patterns.},
doi = {10.1109/TIV.2018.2873899},
journal = {IEEE Transactions on Intelligent Vehicles},
issn = {2379-8858},
number = 4,
volume = 3,
place = {United States},
year = {2018},
month = {10}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on October 11, 2019
Publisher's Version of Record

Save / Share: