Multi-agent Reinforcement Learning for Integrated Network ofAdaptive Traffic Signal Controllers (MARLIN-ATSC):Potential Applications in Tehran

سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 915

فایل این مقاله در 18 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

TTC13_354

تاریخ نمایه سازی: 25 خرداد 1393

چکیده مقاله:

In this paper, we highlight the state-of-the-art and state-of-the-practice inAdaptive Traffic Signal Control (ATSC) and their limitations, particularly in thecontext of large Iranian cities and urban areas. We also introduce the latest ATSCsystem, MARLIN-ATSC, from the University of Toronto’s ITS Centre and Testbedand also demonstrate its performance on a micro-simulation which has beentested of a large-scale of an urban network of 59 intersections in downtownToronto. the results are presented based on the control systems and MARLINIndependent and Integrated Modes. Results showed that MARLIN significantlyoutperformed the BC in all the MOEs including intersection delay, fuelconsumption and emissions. In terms of route travel time, it was generally foundthat MARLIN exhibited less average route travel time and less variation of thetemporal distribution across the simulation hour compared to the other scenarios.We conclude with our vision for assessing the potential testing and application ofMARLIN-ATSC in Tehran and present a high level plan forward starting from apilot study to full implementation of the system if results from the pilot study arefavourable.

کلیدواژه ها:

نویسندگان

Baher Abdulhai

Professor, University of Toronto

Samah El-Tantawy

Postdoctoral fellow, University of Toronto

Behnam Amini

Assistant Professor, Imam Khomeini International University

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • SCOOT-aه [2] P. B. Hunt, D. I. Robertson, R. D. ...
  • W. R. McShane, R. P. Roess, and E. S. Prassas, ...
  • C. Diakaki, M. Papageorgiou, and K. Aboudolas, _ multivariable regulator ...
  • A. G. Sims and K. W. Dobinson, "SCAT-The Sydney Co-ordinated ...
  • J. L. Farges, J. J. Henry, and J. Tufal, _ ...
  • N. H. Gartner, :OPAC: A de mand-re sponsive strategy for ...
  • K. L. Head, P. B. Mirchandani, and D. Sheppard, "Hierarchical ...
  • A. L. C. Bazzan, "Opportunities for multiagent systems and multiagent ...
  • Signal timing strategy development for Tehran, Rahrovan- Omran Consulting Engineers, ...
  • B. Abdulhai and L. Kattan, ، _ Reinforcemet learning: Introduction ...
  • S. El-Tantawy and B. Abdulhai, _ agent-based learning towards decentralized ...
  • B. Abdulhai, R. Pringle, and G. J. Karakoulas, ، FReinforc ...
  • Transportation Letters: The International Jourmal of Transportation Research, vol. 2, ...
  • R. Nair, P. Varakantham, M. Tambe, and M. Yokoo, "Networked ...
  • C. Watkins and P. Dayan, "Q-learning, " Machine learning, vol. ...
  • N. Ono and K. Fukumoto, "Multi-agent reinforcemet learning: A modular ...
  • :ء [17] Quadstone Paramics, "Paramics Microscopic Traffic Simulation Software http ...
  • S. El-Tantawy and B. Abdulhai, ، _ C omprehensive Analysis ...
  • S. El-Tantawy and B. Abdulhai, ، Neighborhood _ _ ordinat ...
  • نمایش کامل مراجع