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
کلیدواژهها
نویسندگان
Baher Abdulhai
Professor, University of Toronto
Samah El-Tantawy
Postdoctoral fellow, University of Toronto
بهنام امینی
Assistant Professor, Imam Khomeini International University
شیوه ارجاع
Abdulhai, Baher and El-Tantawy, Samah and Amini, Behnam,1392,Multi-agent Reinforcement Learning for Integrated Network ofAdaptive Traffic Signal Controllers (MARLIN-ATSC):Potential Applications in Tehran,The 13th International Conference on Traffic and Transportation Engineering,Tehran
ارائهشده در
مجموعه مقالات سیزدهمین کنفرانس بین المللی مهندسی حمل و نقل و ترافیک6 اسفند 1392 · تهران