Dynamic Routing of Trucks and Truck Platoons Using Real-Time Traffic Simulators

Today’s vehicle navigation systems have limited ability to predict. The lack of coordination among different shippers and of information on the transport network make it difficult to predict changes in the transportation networks due to upcoming loads. The need for an intelligent freight assignment system becomes more urgent with the surge of technology development in battery electric trucks and platooning techniques. In this project, the authors developed a load balancing mixed freight coordinated assignment system with the inclusion of diesel and electric trucks on realistic road networks aiming for the optimal total combined cost of energy consumption and time. A Co-Simulation Optimization method is proposed to solve the problem. A distributed version of the Co-Simulation Optimization method is proposed to address the complexities induced from scaling the road network. Platooning techniques are also implemented in the optimal assignment procedure and analyzed in this project. The coordinated truck assignment system considering the characteristics of mixed freight fleets can reduce the operational cost and encourage the deployment of electric trucks in order to reduce emissions and improve air quality.

• Record URL:
  https://www.metrans.org/assets/research/psr-19-04_ioannou_final-report.pdf
• 
• Summary URL:
  https://rosap.ntl.bts.gov/view/dot/67960
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/60371
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program. Cover date: October 2021.
• Corporate Authors:

  METRANS Transportation Center

  University of Southern California
  Los Angeles, CA  United States  90089-0626

  Pacific Southwest Region University Transportation Center

  University of Southern California
  Los Angeles, CA  United States  90089

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590

  California Department of Transportation

  Sacramento, CA  United States  95819
• Authors:
  • Ioannou, Petros
  • 0000-0001-6981-0704
  • Chen, Pengfei
  • 0000-0003-4303-4676
• Publication Date: 2021-6

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; Maps; References; Tables;
• Pagination: 41p

Subject/Index Terms

• TRT Terms: Electric vehicles; Energy consumption; Routing; Traffic platooning; Traffic simulation; Truck traffic
• Subject Areas: Freight Transportation; Motor Carriers; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01789525
• Record Type: Publication
• Report/Paper Numbers: PSR-3423 - 65A0674 TO 023
• Contract Numbers: USDOT Grant 69A3551747109; Caltrans 65A0674 TO 023
• Files: UTC, NTL, TRIS, ATRI, USDOT, STATEDOT
• Created Date: Nov 30 2021 10:18AM