Cloud-Based Platoon Predictive Cruise Control Considering Fuel-Efficient and Platoon Stability

This work investigates commercial vehicle platoon predictive cruise control for highways. The authors propose a cloud-based platoon predictive cruise control method (CPPCC). A two-layered control architecture of the CPPCC is proposed as a platoon predictive cruise speed planning layer in the cloud and a platoon stabilization control layer. The CPPCC communication topology is proposed to achieve coupled control of the hierarchical architecture. The speed planning layer is a dynamic planning (DP) algorithm based on road slope in the rolling distance domain. The lower layer is a stability control algorithm to meet the stability requirements of vehicle platoon driving; the vehicle side is distributed model predictive control (DMPC). The CPPCC is validated by real road and vehicle data models, and comparative experiments with the traditional predecessor-leader following–cruise control (PLF-CC) platoon and predecessor following–cruise control (PF-CC) platoon. The speed error of the vehicle platoon was maintained at [−0.25, 0.30] (m/s) and the space error at [−0.13, 0.66] (m) in platoon stability. Against the comparison method, the CPPCC saved fuel by over 5.13% and achieved an overall operational efficiency improvement of 5.71%.

• Record URL:
  • https://doi.org/10.1061/JTEPBS.TEENG-7920
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/24732907
• Supplemental Notes:
  • This work is made available under the terms of the Creative Commons Attribution 4.0 International license, https://creativecommons.org/licenses/by/4.0/. 2023
• Authors:
  • Wang, Zhou
  • Chu, Duanfeng
  • Gao, Bolin
  • Wang, Liang
  • Qu, Xiaobo
  • Li, Keqiang
• Publication Date: 2024-3

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References; Tables;
• Pagination: 04023146
• Serial:
  • Journal of Transportation Engineering, Part A: Systems
  • Volume: 150
  • Issue Number: 3
  • Publisher: American Society of Civil Engineers
  • ISSN: 2473-2907
  • EISSN: 2473-2893
  • Serial URL: http://ascelibrary.org/journal/jtepbs

Subject/Index Terms

• TRT Terms: Cloud computing; Commercial vehicles; Cruise control; Fuel conservation; Predictive models; Traffic platooning
• Subject Areas: Data and Information Technology; Energy; Environment; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01908561
• Record Type: Publication
• Files: TRIS, ASCE
• Created Date: Feb 20 2024 9:17AM