CN-122022016-A - Airport connection multi-mode transport capacity collaborative optimization method and system integrating demand response type buses

CN122022016ACN 122022016 ACN122022016 ACN 122022016ACN-122022016-A

Abstract

The invention relates to the technical field of comprehensive passenger transport hub operation management, and discloses an airport connection multi-mode transport capacity collaborative optimization method and system for integrating demand response buses, wherein the method comprises the steps of determining factors considered during airport passenger multi-mode transfer selection; describing the selection behavior of the passengers by adopting a polynomial Logit model, calculating utility functions of the passenger selection modes, establishing an airport connection demand response type bus dispatching model, solving and generating an initial line, calculating an objective function of the multi-mode capacity collaborative optimization model, establishing constraint conditions of the multi-mode capacity collaborative optimization model, and solving the proposed multi-mode capacity collaborative optimization model by utilizing a genetic algorithm to obtain an capacity dispatching scheme of each airport connection traffic mode. The method can be used for making an airport connection capacity collaborative scheduling scheme of the integrated demand response type buses, and is beneficial to improving airport junction efficiency and improving service satisfaction of passengers.

Inventors

ZHANG MINGYE
YANG MIN
PENG RUI
WANG YUCHENG
ZHANG RENJIE

Assignees

东南大学

Dates

Publication Date: 20260512
Application Date: 20260104

Claims (9)

1. An airport connection multi-mode traffic capacity collaborative optimization method integrating demand response buses is characterized by comprising the following steps of: determining factors considered when airport passengers carry out multi-mode transfer selection; Describing the selection behavior of the passenger by adopting a polynomial Logit model, and calculating a utility function of a plurality of modes selected by the passenger; establishing an airport connection demand response type bus scheduling model, and solving and generating an initial line; Calculating an objective function of a multi-mode capacity cooperative optimization model, wherein the objective function of the multi-mode capacity cooperative optimization model is the minimum total cost of the hub connection system, and the total cost of the hub connection system comprises the transfer time cost of passengers and the total operation cost; Establishing constraint conditions of the multi-mode capacity collaborative optimization model, and obtaining the multi-mode capacity collaborative optimization model of the fusion demand response bus based on an objective function and the constraint conditions of the multi-mode capacity collaborative optimization model; And solving the proposed multi-mode traffic capacity collaborative optimization model by utilizing a genetic algorithm to obtain a traffic capacity scheduling scheme of each traffic mode of airport connection, wherein the traffic capacity scheduling scheme comprises the departure intervals of rail transit, airport buses and demand response type bus lines, and the arrival rates of taxis and network buses.
2. The method for collaborative optimization of airport connection multimode of fusion demand response type buses according to claim 1, wherein the method for collaborative optimization of airport connection multimode of fusion demand response type buses is characterized in that the method for collaborative optimization of airport connection multimode of fusion demand response type buses comprises the following steps of: hub arrival passenger Select the first Utility of traffic means Expressed as: (1); wherein: Indicating arrival of the hub at the passenger Select the first A fixed item of the traffic mode; Indicating arrival of the hub at the passenger Select the first Probability terms of the traffic means; statistics of passenger selection behavior data for parameters in equation (1) 、 Calibrating and determining that the hub arrives at the passenger Select the first The probability of a traffic pattern is as follows: (2); wherein: Indicating arrival of the hub at the passenger Select the first Probability of the traffic means; representing a collection of alternative transportation means for the hub to reach the passenger, The five traffic modes of rail transit, airport bus, demand response bus, taxi and network bus are respectively represented.
3. The method for collaborative optimization of airport connection multi-mode traffic capacity for fusion demand response buses according to claim 1, wherein the steps of establishing an airport connection demand response bus scheduling model, solving and generating an initial line comprise the following steps: the calculation formula of the objective function of the demand response type bus dispatching model is as follows: (3); (4); (5); wherein: Representing the cost of the demand-responsive bus system; Representing the operating cost of the demand-responsive bus; representing travel time costs; Representing the operating cost of a single vehicle; Representing the cost per unit time of each passenger in the vehicle; A number indicating the vehicle; Representing a collection of vehicles; And (3) with Respectively indicating that the vehicle is positioned at a starting point and a finishing point; 0,1 variable, if the vehicle Continuous through station And 1 If not, otherwise 0; For a station And A distance therebetween; Representing a site To site Travel time between; Is shown at the site Is a vehicle of (2) The number of passengers getting off; Representing the average departure time of a single passenger; Representing arrival at a site Front vehicle The number of people in the vehicle; the calculation formula of the constraint condition of the demand response type bus dispatching model is as follows: (6); (7); (8); (9); (10); (11); wherein: Representing the capacity of the vehicle; Representing a vehicle before arriving at station 1 The number of people in the vehicle; Expressed as 0,1 variable, if the vehicle Continuous through station And 1 If not, otherwise 0; Expressed as 0,1 variable, if the vehicle Continuous through station And 1 If not, otherwise 0; Expressed as 0,1 variable, if the vehicle Continuously pass through station 0 and And 1 if not, and 0 if not, wherein the formula (7) represents that each vehicle leaves from the station after arriving at the station; Indicating a single-trip maximum travel time acceptable to the passenger; Representing a vehicle Arriving at a site Is a time of day; Representing a vehicle At the site Is used to determine the earliest time of arrival of (c), Representing a vehicle At the site Is the latest arrival time of (a); Representing the number of vehicles available; After the demand-responsive bus dispatching model is established, solving the demand-responsive bus dispatching model through a solver to obtain a demand-responsive bus driving path serving as an initial line of the demand-responsive bus.
4. The method for collaborative optimization of airport connection in a fusion demand-responsive bus according to claim 1, wherein the objective function of the computational multi-mode capacity collaborative optimization model comprises: the objective function calculation formula of the multi-mode capacity collaborative optimization model is as follows: (12); (13); (14); (15); (16); (17); (18); (19); (20); wherein: Representing the total cost of the hub connection system; representing the transfer time cost of the passenger; representing the total operating cost; representing a passenger transfer time cost coefficient; Representing an enterprise operation cost coefficient; Representing traffic patterns Is a passenger total transfer time; Representing traffic patterns Average transfer time of passengers; Representing traffic patterns Average walking time of passengers; Representing traffic patterns Is a passenger flow volume of (1); Representing traffic patterns Is not limited by the operating cost of (a); Representing traffic patterns Is a line set of (a); Representing traffic patterns Inner line Is a departure interval of the vehicle; Representing traffic patterns Inner line Is the number of passengers; Representing traffic patterns Is a system busy rate of (1); representing a study duration; Representing traffic patterns I.e. the number of vehicles arriving at the transfer point per minute; Representing traffic patterns Average passenger number of the vehicle; Representing traffic patterns Is a single vehicle cost of (a); Representing traffic patterns Is a sharing rate of (a); representing the number of passengers; Representing the total number of passengers; Indicating arrival of the hub at the passenger Select the first Probability of a traffic pattern.
5. The airport connection multi-mode capacity collaborative optimization method for the fusion demand response type public transportation of claim 1, wherein the constraint conditions for establishing the multi-mode capacity collaborative optimization model are as follows: the expression of the constraint is as follows: (21); (22); (23); wherein: 、 respectively represent traffic modes Inner line Minimum and maximum departure intervals of (a); 、 respectively represent traffic modes Minimum and maximum arrival rates of vehicles; Representing traffic patterns Inner line Is a departure interval of the vehicle; Representing traffic patterns I.e. the number of vehicles arriving at the transfer point per minute; Indicating arrival of the hub at the passenger Select the first Probability of the traffic means; Representing traffic patterns Is a set of lines of the network.
6. An airport connection multi-mode traffic capacity collaborative optimization system for integrating demand response buses, which is used for realizing the airport connection multi-mode traffic capacity collaborative optimization method for integrating demand response buses according to any one of claims 1-5, and is characterized by comprising the following steps: A consideration determination module configured to determine a consideration for the airport passenger multi-way transfer selection; The passenger selection behavior description module is configured to describe the selection behavior of the passenger by adopting a polynomial Logit model and calculate a utility function of a plurality of modes selected by the passenger; the initial route generation module is configured to establish an airport connection demand response type bus scheduling model, and solve and generate an initial route; The system comprises an objective function establishing module, a hub connection system total cost and a control module, wherein the objective function establishing module is used for calculating an objective function of a multi-mode capacity cooperative optimization model, and the objective function of the multi-mode capacity cooperative optimization model is the minimum hub connection system total cost; the constraint condition establishing module is configured to establish constraint conditions of the multi-mode capacity collaborative optimization model, and obtains the multi-mode capacity collaborative optimization model of the fusion demand response bus based on an objective function and the constraint conditions of the multi-mode capacity collaborative optimization model; the solving module is configured to solve the proposed multi-mode capacity collaborative optimization model by utilizing a genetic algorithm to obtain a capacity scheduling scheme of each traffic mode of airport connection, wherein the capacity scheduling scheme comprises the departure interval of rail transit, airport buses and demand response type bus lines, and the arrival rate of taxis and network taxi.
7. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the method for collaborative optimization of airport connection multi-mode transport capacity for a fusion demand-responsive bus according to any one of claims 1-5.
8. A computer device, comprising: A memory for storing a computer program; a processor for executing the computer program to implement the method for collaborative optimization of airport connection multi-mode capacity of a fusion demand-responsive bus according to any one of claims 1-5.
9. A computer program product comprises a computer program and is characterized in that the computer program, when being executed by a processor, realizes the steps of the method for collaborative optimization of airport connection multi-mode traffic capacity of the fusion demand response bus according to any one of claims 1-5.

Description

Airport connection multi-mode transport capacity collaborative optimization method and system integrating demand response type buses Technical Field The invention belongs to the technical field of comprehensive passenger transport hub operation management, and relates to an airport connection multi-mode transport capacity collaborative optimization method and system for a fused demand response type bus. Background The airport is used as a key pivot node in a national comprehensive transportation system and is an important carrier for realizing efficient connection and collaborative operation of various transportation modes. With the continuous expansion of the air transportation scale and the continuous perfection of the airport functions, the airport gradually presents typical characteristics of various concentration and dispersion modes, high concentration of passenger flow demands, complex connection and conversion process and the like. Under the background, how to improve the organization and optimization level of airport connection service, improve the passenger transfer connection efficiency, realize the rapid and orderly evacuation of passenger flow, and become a key problem for promoting the cooperative operation of a comprehensive traffic system and improving the service quality. At present, the airport traffic connection modes mainly comprise rail traffic, airport buses, taxis, network taxi-taking and the like, but the operation systems still face outstanding structural contradictions that fixed traffic modes such as rail traffic and the like cannot provide door-to-door service, and the modes such as taxis, network taxi-taking and the like are limited by factors such as higher operation cost, limited operation capacity scale and the like, and the problems of long queuing waiting time and the like are easy to occur. In this context, demand-responsive buses, by virtue of their customized and flexible service features, are increasingly becoming potential solutions to alleviate airport connection service bottlenecks. However, as a novel connection mode, the introduction of the novel connection mode inevitably causes the changes of the traveling behavior of passengers and the multi-mode transport capacity structure, and how to effectively integrate demand response buses into the existing airport connection system so as to realize the collaborative scheduling and the optimal configuration of the multi-mode transport capacity, thereby comprehensively improving the airport operation efficiency and the service efficiency, and becoming a key problem of urgent research. Disclosure of Invention The invention aims to provide an airport connection multi-mode transport capacity collaborative optimization method and system for fusion of demand response buses, which are beneficial to reducing the total transfer time of airport passengers and improving the evacuation efficiency. In order to solve the technical problems, the invention is realized by adopting the following technical scheme. On one hand, the invention provides an airport connection multi-mode traffic capacity collaborative optimization method integrating demand response buses, which comprises the following steps: In a first aspect, the invention provides an airport connection multi-mode traffic capacity collaborative optimization method for a fusion demand response type bus, which comprises the following steps: determining factors considered when airport passengers carry out multi-mode transfer selection; Describing the selection behavior of the passenger by adopting a polynomial Logit model, and calculating a utility function of a plurality of modes selected by the passenger; establishing an airport connection demand response type bus scheduling model, and solving and generating an initial line; Calculating an objective function of a multi-mode capacity cooperative optimization model, wherein the objective function of the multi-mode capacity cooperative optimization model is the minimum total cost of the hub connection system, and the total cost of the hub connection system comprises the transfer time cost of passengers and the total operation cost; Establishing constraint conditions of the multi-mode capacity collaborative optimization model, and obtaining the multi-mode capacity collaborative optimization model of the fusion demand response bus based on an objective function and the constraint conditions of the multi-mode capacity collaborative optimization model; And solving the proposed multi-mode traffic capacity collaborative optimization model by utilizing a genetic algorithm to obtain a traffic capacity scheduling scheme of each traffic mode of airport connection, wherein the traffic capacity scheduling scheme comprises the departure intervals of rail transit, airport buses and demand response type bus lines, and the arrival rates of taxis and network buses. The invention builds two models, namely a demand-responsive bus dispatching model to