Study on Energy Dissipation of Mixed Traffic Flow Using Cellular Automata

Based on the KKW (Kerner-Klenov-Wolf) cellular automata model, average energy dissipation (ED) of mixed traffic flow is investigated by considering two factors: mixed ratio and initial traffic condition. Vehicles are classified into two types, car and heavy goods vehicle (HGV), and the mixed ratio is the percentage of HGV. The results of numerical simulations with periodic boundary conditions show that the ED will increase as the mixed ratio increases. However, the KKW model, a model in the framework of three-phase traffic theory which differs significantly from the NaSch-type models, can reproduce various traffic states and phase transitions observed in real traffic. As a result, some complex changes of the ED such as data mutation and two-dimension (2D) distribution will start with the occurrences of these traffic states and phase transitions. Moreover, different initial traffic conditions will lead to different trends of the ED due to the introduction of the slow-to-start rule in the KKW model.

• Record URL:
  https://doi.org/10.1061/9780784412442.075
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784412442
• Supplemental Notes:
  • © 2012 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Yang, Haifei
  • Qi, Yue
  • Li, Xiaoqian
  • Lu, Jian
• Conference:
  • Twelfth COTA International Conference of Transportation Professionals
  • Location: Beijing , China
  • Date: 2012-8-3 to 2012-8-6
• Publication Date: 2012-8

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 736-743
• Monograph Title: CICTP 2012: Multimodal Transportation Systems—Convenient, Safe, Cost-Effective, Efficient

Subject/Index Terms

• TRT Terms: Cellular automata; Traffic distribution; Traffic flow theory; Vehicle mix
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I71: Traffic Theory;

Filing Info

• Accession Number: 01500340
• Record Type: Publication
• ISBN: 9780784412442
• Files: TRIS, ASCE
• Created Date: Dec 3 2013 8:53AM