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Analysis On The Characteristics Of Urban And Rural Public Transportation Based On Mobile Payment Data And Research On Scheduling Optimization

Posted on:2021-01-01Degree:MasterType:Thesis
Country:ChinaCandidate:L J ZhangFull Text:PDF
GTID:2392330605957993Subject:Transportation engineering
Abstract/Summary:PDF Full Text Request
The development of urban-rural integrated public transport is an important measure to achieve the integration of urban-rural passenger transport and coordinated development of urban and rural areas.The bus dispatching problem is also an important issue in bus operation.At present,most urban and rural public transport data collection equipment is backward,and most of the data used for scheduling is obtained by manual investigation.The data obtained is seriously lagging and requires a lot of costs.It has not been able to meet the needs of the development of smart public transport.In recent years,mobile payment has become an important payment method for public transportation,which provides a brand-new data resource for the analysis of bus operation characteristics.Compared with the traditional bus card payment,the data content generated by the scan code payment is more abundant and the user's unique binding is stronger.It is rare to apply mobile payment data to the analysis and dispatch of public transport features.This article describes the characteristics and preprocessing methods of mobile payment data,mobile phone signaling data,satellite positioning data,and urban and rural public transport basic data from the aspects of raw data collection and data preprocessing.At the same time,the user's individual location is designed when analyzing mobile phone signaling data.Identification,population occupation and residence identification and population travel identification algorithms are used to extract valid information and store the pre-processed data in the local MySQL database.Then,we study the spatial and temporal distribution characteristics of urban and rural passenger flow from the aspects of bus cross-section passenger flow,line distribution,direction distribution,line passenger flow distribution,travel distance,etc.,and analyze the urban and rural public transport from the aspects of site attraction rate,vehicle running speed,driving interval,bus passenger flow OD,etc.Operating characteristics,analyze the characteristics of urban and rural bus lines from the aspects of bus line length,average station distance,bus ticket fare,and departure interval.Based on the above analysis,preliminary suggestions for route and fare optimization were proposed.Taking the urban-rural bus 906 in a city in northwest China as an example,the spatial and temporal distribution characteristics of urban and rural bus passenger flow,vehicle operation characteristics,and line characteristics were obtained through systematic analysis.Finally,based on urban and rural bus travel characteristics and actual operating data,comprehensively considering passenger travel costs and bus business operating costs,by setting weights to achieve the main body's interest tendency,and constructing constraints with maximum and minimum departure intervals,full load rate and bus companies must be profitable,The bus dispatch model with the minimum weight of the passenger travel cost and the bus operating cost as the objective function,and using matlab software programming to implement genetic algorithm to solve the model.Finally,the optimal bus departure interval under 11 different weights is obtained.By comparing with the calculation results of the traditional departure interval,it is found that whenw1=w2?28?0.5,the total cost is the minimum value.At that time,whenw1?29?0.5,the cost of passenger travel was reduced,and the operating cost of the bus company increased.Whenw1?0.8,the total cost increased compared to the current method.Therefore,compared with the traditional bus dispatching method,this method is more suitable for the actual situation.
Keywords/Search Tags:Mobile payment data, Signaling data, Feature analysis, Bus dispatching, Genetic algorithm, Urban and rural transit
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