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Simulation Oriented Pedestrian Activity Scheduling For Comprehensive Passenger Terminal

Posted on:2019-01-05Degree:MasterType:Thesis
Country:ChinaCandidate:Q W JiaFull Text:PDF
GTID:2322330542491040Subject:Transportation planning and management
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With the rapid development of urbanization in our country,the comprehensive passenger terminal has become an increasingly important place for a large number of passenger distribution.However,the increase of passenger flow and the increase of population density not only reduce the quality of traffic trips,but also affect the operation efficiency of the terminal,and may even lead to safety accidents.In recent years,the assessment of traffic facilities based on pedestrian simulation has become a powerful tool for terminal design and operation optimization.At present,the mainstream simulation system mainly focuses on pedestrian microscopic walking behavior,while the description of the interactive decision-making process between pedestrians and the environment is weak.In order to better understand the operation status of the terminal,this paper studies the pedestrian’s decision-making process,named pedestrian activity scheduling in the comprehensive passenger terminal to enrich the pedestrian simulation model and provide effective assistant decision-making tools for operations manager.The main research contents are as follows:(1)Aiming at the characteristics of pedestrians in passenger terminals,this paper proposes a three-phase analysis method that combines the activity theory in social psychology and the activity-based model in transportation field.All pedestrian activities are divided into three phases:the activity decision-making phase,the activity implementation phase and the processing feedback phase for analyzing the decision-making and implementation process of pedestrian activities,and using the“triangle model”activity structure to analyze the pedestrian activities in the railway terminal.(2)Based on the analysis of the pedestrian activities in the terminal,the decision-making process of the pedestrians is divided into two processes of global activity scheduling and activity re-scheduling to depict the static decision-making process before the pedestrian departure and dynamic adjustment process after the pedestrian departure.Based on the introduction of hazard function,an activity scheduling model based on spatio-temporal network flow is constructed,which can adapt to the two processes of global activity scheduling and activity re-scheduling.The model optimizes the pedestrian’s activities decision-making in the terminal with the highest probability of occurrence of the activity and the minimum pedestrian travel costs.Considering the nonlinear characteristics of the hazard function in the model objective,a dynamic heuristic algorithm is designed to solve the model.(3)Based on the activity scheduling model and algorithm,an agent-based dynamic activity scheduling and simulation framework is constructed.The framework includes a global activity scheduling layer and an activity re-scheduling layer to describe the global activity scheduling process and activity re-scheduling process.The pedestrian micro-simulation system based on partition parallelism was developed and the dynamic activity scheduling simulation framework was applied to the core module of the system.(4)Taking Beijing South High-Speed Rail Station as an example,the simulation system was used to build a simulation environment based on our survey data and randomly simulated the activities of 360 pedestrians arriving by subway.Among them,10 pedestrians resulted in different degrees of spatio-temporal adjustment of activities due to the deviations from the expected results.The simulation results show that the system can reflect the process of dynamic activity scheduling of pedestrians in the terminal realistically,and verify the validity of the activity scheduling model.
Keywords/Search Tags:Pedestrian activity three phases, activity scheduling, pedestrian simulation, comprehensive passenger terminal, simulation system
PDF Full Text Request
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