Quantifying System Level Impact of Connected and Automated Vehicles in an Urban Corridor
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- 価格
- 一般価格(税込):¥6,600 会員価格(税込):¥5,280
- 文献・情報種別
- SAE Paper
No.2022-01-0153
- 掲載ページ
- 1-12(Total 12 p)
- 発行年月
- 2022年 3月
- 出版社
- SAE International
- 言語
- 英語
- イベント
- WCX SAE World Congress Experience 2022
書誌事項
著者(英) | 1) Piyush Bhagdikar, 2) Stanislav Gankov, 3) Sankar Rengarajan, 4) Jayant Sarlashkar, 5) Scott Hotz, 6) Kaivalya Bakshi |
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勤務先(英) | 1) Southwest Research Institute, 2) Southwest Research Institute, 3) Southwest Research Institute, 4) Southwest Research Institute, 5) Southwest Research Institute, 6) Southwest Research Institute |
抄録(英) | Numerous studies have demonstrated significant energy reduction for an ego vehicle by up to 20% leveraging Vehicle-to-Everything (V2X) technologies. Some studies have also analyzed the impact of such vehicles on the energy consumption of other vehicles in a suburban or a highway corridor, 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. 翻訳 |