Font Size: a A A

Researching In The Model And Implementation In The Prototype Of Tickets Distribution In Subway Traffic

Posted on:2013-12-21Degree:MasterType:Thesis
Country:ChinaCandidate:W X JingFull Text:PDF
GTID:2248330371470708Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
With the urban rail being constructed and developed continuously at home and abroad, it has become a very important part of public transport in large cities. Since the number of urban rail path is adding constantly, the routes that the passenger go to the destination become more and more. Study behavior routes being chosen by passenger and flow of passengers distribution in the event that the routes is not only, which have important theory of meaning and practical significance.Focus on the problem of tickets distribution in urban rail network, this paper will go on study as listed below:1 After regulating and statistical analysis research data of passenger behavior in rail of certain city, gain regulation how to choose route and general main factor that affect route to be chosen on condition that transportation of different type passenger is different. Provide data for relational estimation of parameters in the model.2 This paper will consider relational factors which affect passengers to choose route, which include riding time, transfer time and transfer times, then construction a route generalized fee model. It will advance a model of the passenger how to choose a route which base on probabilistic model. As it will consider the factor of transfer time, that is to said some nodes at the traffic network map have weight, in this paper the construction of the traffic network will be transform which will make algorithm more simplify. It will use Floyd algorithm to compute minimum cost route. Then use the minimum cost to get out threshold, which is the stander to choose effective route, it make DFS algorithm better. This paper will base on method of maximum likelihood estimation to estimate factors that influence riding time and transfer time.3 This paper will base on this model in the paper to make a subway tickets distribution system.
Keywords/Search Tags:Rail Traffic, Tickets income distribution, Route-search algorithm, Maximum likelihood estimation, Probabilistic model
PDF Full Text Request
Related items