Assessing energy consumption in scalable semi-autonomous destination-based E-platoons: A multiplayer approach

Recent developments in connected and automated vehicle technologies have opened up new possibilities but also posed enduring challenges. One of the primary challenges is the efficient coordination of vehicles in urban environments, specifically through scalable and destination-based platooning. While considerable research has focused on platooning with a limited number of vehicles demonstrating seamless connectivity and coordination on highways, there remains a significant gap in understanding and implementing scalable platoons in more dynamic urban settings. This paper bridges these gaps by developing a novel extension to the 3DCoAutosim simulation platform. The authors' model introduces ’Scalable Semi-autonomous Destination-based Multiplayer E-Platoons’, accommodating different automation levels and simulation characteristics of vehicles in five distinct platoons. The authors employed seven electric vehicles to create these platoons, each consisting of an autonomous lead vehicle, followers that are either autonomous or semi-autonomous (accompanied by drivers), customised according to the specific requirements of each platoon. Utilising Time Series Analysis, Multiple Linear Regression and a comprehensive, comparative scenario-based analysis, the authors assessed and validated the authors' developed model’s impact on battery energy consumption under varying road slopes and car-following models. The authors' assessment employs real-world trip data from Upper Austria, with results indicating a potential reduction in total battery energy consumption when operating in platoon mode.

• Record URL:
  • https://doi.org/10.1016/j.trd.2024.104464
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1361920924004218
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
• Supplemental Notes:
  • © 2024 The Authors. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Validi, Aso
  • 0000-0002-9335-390X
  • Smirnov, Nikita
  • 0000-0002-6051-9934
  • Olaverri-Monreal, Cristina
  • 0000-0002-5211-3598
• Publication Date: 2024-11

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 104464
• Serial:
  • Transportation Research Part D: Transport and Environment
  • Volume: 136
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1361-9209
  • Serial URL: http://www.sciencedirect.com/science/journal/13619209

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Connected vehicles; Driving automation levels; Electric vehicles; Energy conservation; Traffic platooning
• Subject Areas: Energy; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01937172
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 18 2024 2:21PM