Method for compiling multi-traffic-mode transport capacity collaborative optimization scheme between urban hubs

Abstract

The invention provides a method for compiling a multi-traffic-mode transport capacity collaborative optimization scheme between urban hubs. The method comprises the following steps: constructing a passenger traffic mode transfer MNL model under transport capacity adjustment according to the utility calculation of passengers among hubs for different traffic mode travel, and predicting passenger travel selection evolution characteristics after transport capacity adjustment; providing an inter-hub transportation mode travel demand estimation method, and estimating passenger travel demands of different transportation modes in combination with inter-hub passenger travel demand total amount data; and constructing an inter-hub multi-traffic-mode transport capacity collaborative optimization scheme compilation model, and outputting a supply-demand balanced transport capacity collaborative optimization scheme under demand change. According to the invention, by revealing the influence mechanism of transport capacity adjustment on the passenger individual traffic mode transfer behavior, the travel demand estimation of each traffic mode and the accurate control of the transport capacity collaborative optimization effect are realized.

Description

technical field [0001] The invention relates to the technical field of transport capacity optimization between multiple hubs, in particular to a method for formulating a collaborative optimization scheme for multi-transportation mode transport capacity among urban hubs. Background technique [0002] With the vigorous construction of urban agglomerations and the continuous development of interline travel, the volume of interline passenger traffic has steadily increased. At the same time, the volume of passenger traffic between urban hubs has gradually increased, and the imbalance between passenger flow demand and transport capacity of various modes of transportation has become increasingly prominent. In order to deal with this problem, adjusting the existing transport capacity schemes of various urban transportation modes to match the corresponding traffic demand has become the main solution to this problem. However, after the adjustment of transport capacity, passengers will...

AI Technical Summary

Problems solved by technology

[0003] At present, the capacity optimization scheme preparation methods in the prior art generally believe that the passenger flow demand between hubs remains constant, that is, it is assumed that the adjustment of transport capacity will not cause changes in passenger flow demand; and only consider the capacity optimization of a single transportation mode within the city, ignoring the comprehensive consideration of multiple synergy between modes of transportation

Therefore, the current capacity optimization technology is difficult to apply to the problem of coordinating and optimizing the capacity of multi-transportation modes between urban hubs.

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