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

Journal Article · · IEEE Transactions on Intelligent Vehicles
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)
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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.

Research Organization:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1492178
Journal Information:
IEEE Transactions on Intelligent Vehicles, Vol. 3, Issue 4; ISSN 2379-8858
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English

Cited By (2)

Toward an Efficient Deployment of Open Source Software in the Internet of Vehicles Field journal May 2019
Partially Connected and Automated Traffic Operations in Road Transportation journal January 2020

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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