Detection of the Patterns in the Daily Route Choices of the Urban Social Transport System Clients Based on the Decoupling of Passengers’ Preferences Between the Levels of Uncertainty

The paper is focused on collecting and analyzing the data on the population density in the districts of a megapolis was carried out. Each district is further divided into sections to improve the accuracy of the study. The analysis of data on the location of passenger public transport stops in residential areas and areas with socially significant objects was carried out. Visualization of the analysis results was performed by superimposing isochronous accessibility of the main objects of attracting passengers onto the map of the city. Using the algorithm of the minimum cstop of the way there have been found the points of destination in all the routes of the public transport network, which the passenger will be able to reach in 15 or 30 minutes. The route network is presented as a graph, whose vertices are public transport stops. The weights of the graph correspond to the travel time from one stop to another. The shortest paths between all vertices of the graph have been found. The Floyd-Warshell algorithm is selected for calculations. The obtained data are prepared for using them in the transport network model to solve a multi-criteria optimization problem. When adding a new vertex, it becomes possible to calculate a new route with minimal time cstops. Based on the results of the study, the initial data were prepared for constructing a model for generating data on the passenger traffic of urban land transport.

show abstract

Detection of the Patterns in the Daily Route Choices of the Urban Social Transport System Clients Based on the Decoupling of Passengers’ Preferences Between the Levels of Uncertainty

Cited by 4 publications

References 18 publications

Analysis of the Reachability of Stops in the Route Network of Urban Passenger Transport

Analysis of the Reachability of Stops in the Route Network of Urban Passenger Transport

Algorithm for Generating Passenger Traffic at Stops for the Urban Transport System Model

Analyzing data on public transport network structure (case of Volgograd)

Contact Info

Product

Resources

About