Font Size: a A A

Study On Prediction Model Of Passenger Flow Of Footbridge In Beijing

Posted on:2021-09-19Degree:MasterType:Thesis
Country:ChinaCandidate:X ZhangFull Text:PDF
GTID:2492306560450954Subject:Master of Engineering
Abstract/Summary:PDF Full Text Request
With the increasing congestion index and the increasing number of pedestrian traffic accidents at intersections,the problem of pedestrian crossing has been paid more and more attention.As a super city,Beijing has the most footbridges in China,but the utilization rate of footbridge is uneven,and the conflict between pedestrians and motor vehicles is particularly serious at the peak intersection.Therefore,accurate prediction of the passenger flow of the footbridge is of far-reaching significance to improve the utilization rate of traffic resources and traffic efficiency.Firstly,we select the pedestrian overpass survey points based on the plane form,land use attributes,road conditions,pedestrian travel rules and other factors.Through the field survey method,we collect the basic parameters of the overpass,pedestrian crossing,road network,and analyze the difference of pedestrian flow parameters and service level of the overpass with different land use attributes and different plane forms.Secondly,the attraction scope of the footbridge is determined,and the factors affecting the pedestrian flow of the footbridge are analyzed qualitatively and quantitatively from the three aspects of facility characteristics,connection mode characteristics and surrounding environment characteristics.Then the partial correlation method is used to determine the main factors affecting the passage of the footbridge,and the direct estimation model of the passenger flow of the footbridge is constructed based on the area of the overpass,the connecting bus lines,the connecting distance of rail transit,and the road density.Thirdly,the pedestrian crossing road network in the urban area of Beijing is built,the traffic districts are divided according to the administrative region and the current OD matrix is obtained based on the traffic volume of the road section determined by the field survey and passenger flow estimation model.According to the thermal map,determining the areas that need to be added with flyovers,then build a passenger flow prediction model based on economic and population development and predict the passenger flow in the next 5 years and10 years,and analyze the changes of the passenger flow and service level after the new footbridge.At the same time,taking the footbridge with low service level as the weak link in the future,the footbridge is optimized by increasing the width,and the efficiency and comfort of the optimized overpass are evaluated by using the Any Logic pedestrian simulation.In addition,based on the pedestrian space area,the recommended width values of the overpass pedestrian passage with different service levels are given.Finally,the management platform of footbridge in Beijing is built based on visualization principle through "VS Code ",which converts the map data of Beijing urban area and the original attribute data(form,road,longitude and latitude,flow,etc.)of the footbridge into programming language,and outputs them to the front of the system in the form of image,so as to realize the visualization of spatial location,parameters,traffic volume,service level,the weak links at present and in the future,optimization suggestions,as well as the data editing,storage,query and simple statistical operation.This visualization system improves the management efficiency of relevant maintenance management departments.This study studies the current situation and future operation of the existing footbridge in Beijing,which is of guiding significance to identify the gap of the crossing facilities,and provides countermeasures for the planning and construction optimization of the footbridge.
Keywords/Search Tags:footbridge, pedestrian characteristics, current situation estimation model, passenger flow forecast model, optimization simulation, visual management platform
PDF Full Text Request
Related items