Integrating Traffic and Power Simulators Using MetaMAS™ for Evaluating Highway EMS

In the near future, if many electric vehicles (EVs) run on highways, a highway energy management system (highway EMS) that controls supply and demand of EV charging will be required. In order to conduct research on future highway EMSs, a simulator is needed for evaluating EV charging strategies. For this purpose, it is necessary to model how EV charging strategies affect EV drivers’ decision-making. Multi-agent simulators (MASs) are often used for predicting the total effect on individuals’ decision-making and activities. This paper presents a new general-purpose meta-level multi-agent simulator, MetaMAS™, which simulates the total effect of individual agents’ activities using domain-specific simulators. Using MetaMAS™ agents, the authors model the key players of the highway EMS and integrate traffic and power simulators. They show how MetaMAS™ agents communicate with one another and interact with traffic and power simulators. They also evaluate some charging strategies of the highway EMS: the power reduction strategy, the energy reduction strategy, and the power and energy reduction strategy.

• Availability:
  • Find a library where document is available. Order URL: http://www.its-jp.org/english/congress_e/
• Supplemental Notes:
  • Abstract used with permission of ITS Japan. Paper No. 3368. Alternate title: Integrating Traffic and Power Simulators using MetaMAS for Evaluating Highway EMS.
• Corporate Authors:

  ITS Japan

  Tokyo,   Japan 
• Authors:
  • Hayashi, Hisashi
  • Paul, Topon
  • Sakakibara, Shizu
  • Aisu, Hideyuki
  • Yamada, Hisashi
• Conference:
  • 20th ITS World Congress
  • Location: Tokyo , Japan
  • Date: 2013-10-14 to 2013-10-18
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: 10p
• Monograph Title: 20th ITS World Congress, Tokyo 2013. Proceedings

Subject/Index Terms

• TRT Terms: Electric vehicle charging; Electric vehicles; Energy consumption; Highway operations; Multi-agent systems; Simulation; Strategic planning; Vehicle range
• Subject Areas: Energy; Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment; I72: Traffic and Transport Planning; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01538031
• Record Type: Publication
• ISBN: 9784990493981
• Files: TRIS
• Created Date: Sep 24 2014 4:49PM