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Quantifying System Level Impact of Connected and Automated Vehicles in an Urban Corridor

Journal Article · · SAE Technical Paper Series
DOI:https://doi.org/10.4271/2022-01-0153· OSTI ID:2569131
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  1. Southwest Research Institute, San Antonio, TX (United States)
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Numerous studies have demonstrated significant energy reduction for an ego vehicle by up to 20% leveraging Vehicle-to-Everything (V2X) technologies [1-4]. Some studies have also analyzed the impact of such vehicles on the energy consumption of other vehicles in a suburban or a highway corridor [5, 6], but the impact in an urban setting has not been studied yet. Southwest Research Institute (SwRI), in collaboration with Continental and Hyundai, is currently working on a Department of Energy funded project that is focused on quantifying the impact of multiple ego vehicles (smart vehicles) on the total energy consumption of the corridor under various traffic conditions, vehicle electrification level, vehicle-to-vehicle (V2V) technology penetration, and the number of smart (ego) vehicles in an urban setting. A six-kilometer-long urban corridor from Columbus, Ohio was modeled and calibrated with real-world data in PTV Vissim traffic microsimulation software. Five forward-looking powertrain models, consisting of two battery electric vehicles (BEVs), a hybrid electric vehicle (HEV), and two internal combustion engine (ICE) powered vehicles, were developed to estimate the energy consumption of vehicles on the corridor. A comprehensive full factorial simulation study was performed. The simulation results indicate that for a traffic mix based on projected new vehicles sales in 2025, a 15% corridor-level energy consumption reduction can be achieved. The paper details the development and validation of the simulation framework, design of experiments conducted, a discussion of challenges faced, and results under various test conditions.
Research Organization:
Southwest Research Institute, San Antonio, TX (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Vehicle Technologies Office (VTO)
Grant/Contract Number:
EE0008873
OSTI ID:
2569131
Journal Information:
SAE Technical Paper Series, Journal Name: SAE Technical Paper Series; ISSN 0148-7191
Publisher:
SAE InternationalCopyright Statement
Country of Publication:
United States
Language:
English

References (9)

Optimal speed advisory for connected vehicles in arterial roads and the impact on mixed traffic journal August 2016
Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments journal April 2018
Microsimulation of energy and flow effects from optimal automated driving in mixed traffic journal November 2020
Life Cycle Assessment of Connected and Automated Vehicles: Sensing and Computing Subsystem and Vehicle Level Effects journal February 2018
Identification and Review of the Research Gaps Preventing a Realization of Optimal Energy Management Strategies in Vehicles journal April 2019
Test Correlation Framework for Hybrid Electric Vehicle System Model journal April 2011
Reducing Fuel Consumption by Using Information from Connected and Automated Vehicle Modules to Optimize Propulsion System Control conference April 2019
Energy Efficient Maneuvering of Connected and Automated Vehicles journal April 2020
A Connected Controls and Optimization System for Vehicle Dynamics and Powertrain Operation on a Light-Duty Plug-In Multi-Mode Hybrid Electric Vehicle conference April 2020

Figures / Tables (12)

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Related Subjects

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
Automated vehicles
Electric vehicles
Energy consumption
Hybrid electric vehicles
V2V
V2X
Vehicle to everything
Vehicle to vehicle