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دسته بندی:
مدیریت ترافیک - traffic management
سال انتشار:
2017
عنوان انگلیسی مقاله:
Passenger distribution modelling at the subway platform based on ant colony optimization algorithm
ترجمه فارسی عنوان مقاله:
مدل سازی توزیع مسافر در ایستگاه مترو بر اساس الگوریتم بهینه سازی کلونی مورچه
منبع:
Sciencedirect - Elsevier - Simulation Modelling Practice and Theory, 77 (2017) 228-244. doi:10.1016/j.simpat.2017.03.005
نویسنده:
Xiaoxia Yang a, Hairong Dong a,∗, Xiuming Yao b
چکیده انگلیسی:
In the subway platform, not all passengers distribute randomly but gather in the waiting
areas, especially when a train is coming. During emergency evacuations, passengers’ initial
distribution may play a significant role in affecting the escape efficiency. In this paper, a
passenger distribution modelling method is proposed to predict such waiting area choice
processes based on ant colony optimization (ACO) algorithm, which is really a complicated
job due to many influence factors. The model considers the distance to the target waiting
area, the length of queues, the physical length of waiting areas and the train schedule as
four main influence factors. Specially, a modification of the passenger’s impatience factor
in the famous social force model (SFM), better reflecting the change of psychological states
with an arrival of a train, is presented. The field data collected at the Xuanwumen subway
platform is utilized for the model calibration and validation. The ultimate simulation re
sults demonstrate that passenger distributions based on ACO algorithm basically can reflect
the field distribution and also the dynamic characteristics of waiting area choice processes.
Impacts of passenger distributions on evacuation dynamics under fires are further studied
based on the software FDS+Evac. The results indicate that passenger distribution does has
little impact on evacuation efficiency when fires are not very large, while the evacuation
will be affected significantly by passenger distributions once fires are large enough. This
further indicates the necessity of studying the passenger distribution at the subway plat
form especially under emergencies.
Keywords: Ant colony optimization | Passenger distribution | Social force model | Subway station
قیمت: رایگان
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