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

2022-01-0153

03/29/2022

Features
Event
WCX SAE World Congress Experience
Authors Abstract
Content
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.
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DOI
https://doi.org/10.4271/2022-01-0153
Pages
11
Citation
Bhagdikar, P., Gankov, S., Rengarajan, S., Sarlashkar, J. et al., "Quantifying System Level Impact of Connected and Automated Vehicles in an Urban Corridor," SAE Technical Paper 2022-01-0153, 2022, https://doi.org/10.4271/2022-01-0153.
Additional Details
Publisher
Published
Mar 29, 2022
Product Code
2022-01-0153
Content Type
Technical Paper
Language
English