CN115456257A - Airport passenger distributing and transporting system based on modular automatic driving bus connection - Google Patents

Airport passenger distributing and transporting system based on modular automatic driving bus connection Download PDF

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CN115456257A
CN115456257A CN202211030620.0A CN202211030620A CN115456257A CN 115456257 A CN115456257 A CN 115456257A CN 202211030620 A CN202211030620 A CN 202211030620A CN 115456257 A CN115456257 A CN 115456257A
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胡郁葱
余知
陈梓锋
纪昀
计云涛
陈哲舒
马川淇
盛伟
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South China University of Technology SCUT
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Abstract

The invention discloses an airport passenger distribution system based on modular automatic driving bus connection, which comprises: the data acquisition module is used for fusing multi-source data to predict the number of people arriving at a station at the side of a remote parking lot in each time slot and determining a modular bus performance parameter, a passenger time cost parameter and an operation parameter; the dispatching scheme generation module is used for inputting parameters obtained by the data acquisition module based on the constructed dispatching model and solving a modular bus departure plan; and the operation module is used for automatically marshalling and dispatching according to the modular bus dispatching plan to complete passenger connection between the remote parking lot and the airport terminal. The invention combines the remote parking concept with the emerging modular automatic driving public transportation technology, provides a new idea for an airport land side collection and distribution system, so as to relieve the problems of road congestion around an airport terminal building, difficult parking for users and high cost, simultaneously improve the operation income of the remote parking lot, and form scale benefits to reduce energy consumption.

Description

Airport passenger distributing and transporting system based on modular automatic driving bus connection
Technical Field
The invention relates to the technical field of modular automatic driving bus operation, in particular to an airport passenger distribution system based on modular automatic driving bus connection.
Background
With the economic growth and the technological development, the aviation travel mode is gradually popularized, and becomes a long-distance travel selection for more and more people due to the characteristics of convenience, comfort and rapidness. Meanwhile, the holding capacity of the national cars is continuously increased, and a certain number of airport passengers select private cars to go out, which brings great pressure to airport parking. The construction and airport air side facility and function matched land side collecting and distributing system is very important for improving the competitiveness of aviation travel. At present, the following pain points exist when cars travel on the side of an airport road: the land utilization around the terminal building is short, and the construction of a parking lot needs a large amount of land space, so that the parking spaces near the terminal building are few and the parking price is high; during the peak time of the flight, the road sections near the airport are easy to be jammed, and the travel of passengers can be delayed and even the passengers can be mistakenly taken.
In order to relieve traffic jam and land shortage on the side of an airport road and provide more preferential service for car travelers, remote parking is carried out at the turn, and therefore the connection requirement between an airport terminal and a remote parking lot is generated. At present, a public remote parking lot uses a docking bus to shuttle between the remote parking lot and a station building, and due to different heights and peaks of passengers, the docking mode causes long waiting time of part of passengers or waste of vehicle resources. And the private business mode is difficult to be integrally monitored, the reliability is not high, and the efficiency of the one-to-one service mode is relatively low.
The modularized automatic driving public transport (called modularized public transport for short) is a new hotspot in the traffic field, is driven by electric power and is based on an automatic driving technology. 6-8 small-size electronic unmanned buses can be according to the number of passengers marshalling out of a train, realize nimble concatenation and split to promote the intellectuality and the precision of urban traffic service, it is huge in the aspect of energy saving, directional service etc.. At present, the research on modular public transport mainly focuses on a variable-capacity modular vehicle operation method and algorithm, and the research on an airport passenger distribution system application scene is still vacant.
Based on the situation, the invention innovatively provides an airport passenger distribution system based on modular automatic driving bus connection by combining a remote parking concept with a novel modular automatic driving bus technology, and provides a new idea for an airport land-side collection and distribution system. Compared with the traditional connection scheme for remote parking at other airports, the modularized bus is better in the aspects of economy, environmental protection, low delay and the like, and accords with the construction concept of intelligent traffic.
Disclosure of Invention
The invention aims to solve the problems of road congestion, lack of parking spaces, difficulty in parking for users and high cost around an airport terminal, and provides an airport passenger distributing system based on modular automatic driving bus connection, which helps an airport to relieve the pressure of land-side facilities, improves the operation income of remote parking lots, forms scale benefits and reduces energy consumption. The method has the advantages that flight information and user reservation information are obtained, an optimal departure scheme is solved by using a scheduling model, and automatic grouping departure of the modular automatic-driving buses can be realized, so that the distribution between a remote parking lot and an airport terminal is completed, and more reliable and convenient connection service is provided for passengers.
In order to achieve the purpose, the technical scheme provided by the invention is as follows: an airport passenger distribution system based on modular autonomous bus docking, comprising:
the data acquisition module is used for fusing multi-source data to predict the number of people arriving at a station at the side of a remote parking lot in each time slot and determining a performance parameter, a passenger time cost parameter and an operation parameter of the modular automatic driving bus;
the dispatching scheme generation module is used for inputting parameters obtained by the data acquisition module based on the constructed dispatching model and solving a modular automatic driving bus departure plan, namely when the buses are dispatched and the number of the dispatched grouped vehicles is determined, and the aim is to minimize the total economic cost of passengers and an operating institution;
and the operation module is used for automatically grouping and dispatching according to the modular automatic driving bus dispatching plan so as to complete passenger connection between a remote parking lot and an airport terminal.
Further, in the data acquisition module, the multi-source data includes applet reservation data and airport flight data, stipulating B = [0,1,2]Is a set of discrete time points, J is the total number of time slots, J is the index of a discrete time point,
Figure BDA0003817168590000031
j represents the last discrete time point when J is taken, and the formula for calculating the number of people arriving at the station at the remote parking lot side in each time slot is as follows:
a j ＝α×a 1j +β×a 2j
in the formula, a j Represents [ j-1,j]The estimated number of passengers arriving at a station in a time slot; a is 1j Indicating acquisition of [ j-1,j by applet reservation data]The estimated passenger number arriving at the station in the time slot; a is 2j Indicating acquisition of [ j-1,j by airport flight data]The estimated passenger number arriving at the station in the time slot; α, β represent weights, and α + β =1, α > 0, β > 0;
the estimated number of passengers arriving at a station in each time slot acquired through the small program reservation data can be obtained through statistics based on the time of arriving at a parking lot, which is filled in by a user on a remote parking lot reservation small program;
the estimated passenger number of the arriving station in each time slot obtained by airport flight data has the following calculation formula:
a 2j ＝g(S j *σ)
in the formula, S j Is shown in [ j-1,j]The number of passengers arriving at the terminal building within a future period of time after the time slot can be obtained by statistics based on the airport flight schedule, the passenger capacity of each flight and the scheduled attendance rate; sigma representation before modular automatic driving public transport is selected for useThe passenger allocation ratio of the terminal building can be obtained based on historical operation data and investigation situation data; the function g is fitted to the distribution of passengers arriving at the side stations of the remote parking lot along with the time, and the number of people arriving at the station building by adopting the modular automatic bus driving in a future period is projected to [ j-1,j]Time slot, obtain [ j-1,j]The number of passengers arriving at a station at the side of a remote parking lot in a time slot can be calculated by adopting a second-order Gaussian mixture model and can also be obtained based on survey data;
the weights can be optimized in a variety of ways based on historical data, with the goal of minimizing the error between the calculated and actual values, and are updated periodically.
Further, in the data acquisition module, the modular automatic driving bus performance parameters comprise passenger carrying capacity of a single modular vehicle, fixed energy cost of single departure, energy cost coefficient and energy calculation coefficient of the number of single grouped vehicles; the passenger time cost parameter comprises the waiting cost of each passenger in unit time; the operation parameters comprise the minimum departure time interval and the maximum vehicle grouping number.
Further, in the scheduling scheme generating module, the scheduling model is applied to a passenger docking system based on a modular autonomous bus at a single starting point and a single ending point, and a departure plan of the modular autonomous bus at the starting point is solved, namely when the passengers depart and the passengers depart are grouped into vehicles, and the goal is to minimize the total economic cost of the passengers and the operating institution, including the following assumptions:
specify a = [0,1,2]Is a vehicle composition set, I is the maximum vehicle composition number, I is a vehicle composition index,
Figure BDA0003817168590000041
adopting a discretization thought to solve the time range of the departure plan [0,T ]]Dividing the time slot into J integer time slots delta, wherein delta = T/J; specify B = [0,1,2]Is a set of discrete time points, J is the total number of time slots, J is the discrete time point index,
Figure BDA0003817168590000042
when J is JRepresenting the last discrete time point within said time range;
decision variable x ij The binary variable represents whether the modular automatic driving bus with the marshalling quantity i is dispatched at the time j or not, namely whether the departure is determined at each discrete time point j and the corresponding departure marshalling vehicle quantity is determined.
Further, the scheduling model comprises an objective function, a security constraint, a people number conservation constraint and an operation quality constraint;
the objective function calculation formula is as follows:
Figure BDA0003817168590000043
in the formula, cost total Represents the total economic cost of the passenger and the operating institution; cost agency Representing a modular autonomous bus operation cost; cost passenger Represents the time cost for passengers waiting for the bus; f. of i Representing the total energy cost of the vehicle with the number of the single departure component vehicles being i; x is a radical of a fluorine atom ij Is a binary variable which indicates whether the modular automatic driving bus with the grouping number i is dispatched or not at the time j, and x is dispatched ij =1, otherwise x ij =0; δ represents a fixed slot length; w represents the average waiting cost of each passenger in unit time; q. q.s j-1 Represents the number of passengers waiting for getting on at time j-1; a is a j Represents [ j-1,j]The number of people arriving at a station at the remote parking lot side in the time slot; a is a 0 Indicating the number of initial waiting persons; c F For a fixed energy cost for a single departure C V Energy cost coefficient for the number of vehicles in a single formation, mu ≦ 1 is energy calculation coefficient, c i The total passenger carrying capacity of the marshalling with the number of vehicles i is obtained by multiplying the number of marshalling vehicles i by the passenger carrying capacity of a single modularized automatic driving bus;
the safety constraint is used for ensuring that at most one grouped modular bus is sent in one time slot, and the formula is as follows:
Figure BDA0003817168590000051
the people conservation constraint is used for ensuring the calculation rationality of the scheduling scheme and dividing the number of waiting people q at the time of starting 0 The number of waiting passengers q at the time of receiving the train J The number of waiting passengers at the end of the other time slots is the number of waiting passengers at the end of the previous time slot, the number of passengers newly arriving at a station at the side of a remote parking lot is added, and then the maximum value of the passenger carrying capacity of the modularized automatic driving bus departure and 0 is subtracted, wherein the formula is as follows;
q 0 ＝a 0
Figure BDA0003817168590000052
q J ＝0
the operation quality constraint comprises an excessive number of people constraint and an insufficient number of people constraint;
the number-of-people excess constraint is used for ensuring that the number of waiting passengers in each time slot is not more than the maximum number Q of waiting passengers, so as to limit the longest waiting time of passengers, and the formula is as follows:
Figure BDA0003817168590000053
the constraint of too few people is used for ensuring the departure frequency, one vehicle must be sent in three time slots, and the formula is as follows:
Figure BDA0003817168590000054
in the formula, x ij-1 、x ij-2 The automatic bus dispatching method is a binary variable and indicates whether the modular automatic bus with the grouping number i is dispatched at the time j-1 and j-2, if the modular automatic bus is dispatched, 1 is selected, and if the modular automatic bus is not dispatched, 0 is selected.
Further, the model solution of the scheduling scheme generation module adopts a direct solution, a linear solution or a heuristic algorithm.
Further, the operation module comprises a small reservation program, a station at the side of a remote parking lot, a station at the side of a building of an airport terminal, a modular automatic driving bus and a modular automatic driving bus lane between the remote parking lot and the building of the airport terminal;
the reservation small program is used for collecting the name, flight number, boarding gate, number of passengers, arrival date and specific time of the remote parking lot and paying the parking fee on line;
the remote parking lot side station and the airport terminal building side station respectively comprise a grouping line and a parking line of a modular automatic driving bus, a passenger waiting area, a passenger dropping area and a bus taking toll station; the remote parking lot side station and the airport terminal building side station further comprise corresponding parking service and airport terminal building passenger service;
the modularized automatic driving bus lane between the remote parking lot and the station building is set as a special lane;
the modularized automatic driving buses are grouped and dispatched according to the generated modularized automatic driving bus dispatching scheme, and come and go to remote parking lot side stations and airport terminal building side stations; for the conditions of a plurality of remote parking lots and a plurality of terminal buildings, modular automatic bus driving starts from different remote parking lots and is combined at a route intersection; and the passengers go to different station buildings and split at the bifurcation of the route so as to complete the passenger connection between the remote parking lot and the airport station building.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. the modularized automatic driving bus (modularized bus for short) is introduced into an airport passenger distribution system, and a new scheme is provided for connection between a remote parking lot and an airport terminal. Compare in traditional mode of plugging into, the modularization bus is plugged into and is accorded with the wisdom traffic requirement, has obvious advantage: the travel experience of passengers is improved, the parking cost is reduced, and the waiting time is reduced; the airport passenger distribution system can realize automatic operation, and the modular bus realizes automatic grouping, dispatching and automatic driving according to passenger flow, thereby reducing labor cost and management cost; the modularized public transport is composed according to the number of passengers for departure, so that the energy utilization rate is improved, the carbon emission and the harmful gas emission are reduced, and the environment benefit is good.
2. The method has the advantages that multi-source data are fused to predict the number of people arriving at the station at the remote parking lot side in each time slot, airport flight data are obtained, the direct influence of the flight time and the number of people entering and leaving the airport on a scheduling model is considered, the influence of rapid change of factors such as weather and flow control on a flight schedule is effectively relieved, and the prediction accuracy of the number of people arriving at the station at the remote parking lot side in each time slot is improved by combining small program reservation data.
3. And constructing a scheduling model and calculating a modular bus departure plan in real time. The scheduling model aims to minimize the total economic cost of passengers and operating agencies, and comprises three types of constraints. The number of arriving people and other parameters are input, so that an efficient short-time marshalling scheduling scheme can be generated, and the modular bus splicing and unhooking can be guided.
Drawings
FIG. 1 is an architectural diagram of the system of the present invention.
FIG. 2 is a schematic view of a reservation applet interface.
Fig. 3 is a schematic diagram of splicing and splitting when a modular autonomous bus (modular bus for short) is connected.
Fig. 4 is a flow chart of the system operation from the passenger perspective.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but the embodiments of the present invention are not limited thereto.
As shown in fig. 1, the embodiment discloses an airport passenger distribution system based on modular automatic driving bus connection, which comprises the following modules:
the data acquisition module is used for fusing multi-source data to predict the number of people arriving at a station at the side of a remote parking lot in each time slot and determining performance parameters, passenger time cost parameters and operation parameters of a modular automatic driving bus (modular bus for short);
the dispatching scheme generation module is used for inputting parameters obtained by the data acquisition module based on the constructed dispatching model and solving a modular automatic driving bus departure plan, namely when the buses are dispatched and the number of the dispatched grouped vehicles is determined, and the aim is to minimize the total economic cost of passengers and an operating institution;
and the operation module is used for automatically grouping and dispatching according to the modular automatic driving bus dispatching plan to complete passenger connection between a remote parking lot and an airport terminal.
In the data acquisition module, the multi-source data includes applet reservation data and airport flight data. Specify B = [0,1,2]Is a set of discrete time points, j is a discrete time point index,
Figure BDA0003817168590000081
j represents the last discrete time point when taking J; the planned departure time of a civil aviation flight in china is in units of five minutes, and therefore, the time slot is set to 5 minutes here. The formula for calculating the number of people arriving at the station at the remote parking lot side in each time slot is as follows:
a j ＝α×a 1j +β×a 2j
wherein, a j Represents [ j-1,j]The estimated passenger number arriving at the station in the time slot; a is a 1j Indicating acquisition of [ j-1,j by applet reservation data]The estimated passenger number arriving at the station in the time slot; a is 2j Indicating acquisition of [ j-1,j by airport flight data]The estimated passenger number arriving at the station in the time slot; α, β represent weights, and α + β =1 (α < 0, β > 0);
the estimated number of passengers arriving at the station in each time slot acquired through the small program reservation data can be obtained based on the statistics of the time of arriving at the parking lot filled by the user on the remote parking lot reservation small program, and a small program interface is schematically shown in fig. 2.
The estimated passenger number of the arriving station in each time slot obtained by airport flight data has the following calculation formula:
a 2j ＝g(S j *σ)
wherein S is j Is shown in [ j-1,j]The number of passengers arriving at the terminal building within a period of time after the time slot can be obtained by statistics based on an airport schedule, passenger capacity of each flight and a preset attendance rate; sigma represents the passenger allocation ratio of the modular bus to the station building, and can be obtained based on historical operation data and investigation live data; the function g is used for fitting the distribution of passengers arriving at the side stations of the remote parking lot along with time, and modular buses are adopted to arrive at the destination station within a period of time in the futureThe number of people in the building is projected to [ j-1,j ]]Time slot to obtain [ j-1,j]The number of passengers arriving at a station at the side of a remote parking lot in a time slot can be calculated by adopting a second-order Gaussian mixture model and can also be obtained based on survey data;
since no real small program reservation data exists, 0,1 is respectively taken from alpha and beta, and the number of estimated passengers is obtained only through airport flight data. Flight information of Guangzhou white cloud airport in one hour and a day is obtained from 'flight transverse and longitudinal' APP. If σ is 10%, the number of passengers arriving at the station every 5 minutes is estimated as shown in table 2.
The parameters of the data acquisition module also comprise modular bus performance parameters, passenger time cost parameters and operation parameters, as shown in table 1; the modular bus performance parameters comprise passenger carrying capacity of a single modular vehicle, fixed energy cost of single departure, energy cost coefficient of the number of single grouped vehicles and energy calculation coefficient; the passenger time cost parameter comprises the waiting cost of each passenger in unit time; the operation parameters comprise the minimum departure time interval and the maximum vehicle grouping number.
Table 1: fixed parameter value
Figure BDA0003817168590000091
In the scheduling scheme generating module, the scheduling model is applied to a passenger docking system based on a modular automatic bus at a single starting and ending point, and a modular automatic bus departure plan at the starting point is solved, namely when the passengers depart and the departure are grouped into the number of vehicles, and the aim of the scheduling model is to minimize the total economic cost of the passengers and an operating institution, and the scheduling model comprises the following assumptions:
specify a = [0,1,2]Is a vehicle composition set, I is the maximum vehicle composition number, I is a vehicle composition index,
Figure BDA0003817168590000101
adopting a discretization thought to solve the time range of the departure plan [0,T ]]Dividing the time slot into J integer time slots delta, wherein delta = T/J; specify B = [0,1,2]Is a set of discrete time points, J is timeThe total number of slots, j is the discrete time point index,
Figure BDA0003817168590000102
j represents the last discrete time point in the time range when J is taken;
decision variable x ij The binary variable represents whether the modular automatic driving buses with the grouping number i are dispatched at the time j or not, namely whether the departure is determined at each discrete time point j and the corresponding departure grouping vehicle number is determined.
The scheduling model comprises an objective function, a safety constraint, a people number conservation constraint and an operation quality constraint;
the objective function calculation formula is as follows:
Figure BDA0003817168590000103
in the formula, cost total Represents the total economic cost of the passenger and the operating institution; cost agency Representing a modular autonomous bus operation cost; cost passenger Represents the time cost for passengers waiting for the bus; f. of i Representing the total energy cost of the vehicle with the number of the single departure component vehicles being i; x is a radical of a fluorine atom ij Is a binary variable which indicates whether the modular automatic driving bus with the grouping number i is dispatched or not at the time j, and x is dispatched ij =1, otherwise x ij =0; δ represents a fixed slot length; w represents the average waiting cost of each passenger in unit time; q. q.s j-1 The number of passengers waiting for getting on the bus at the time j-1 is shown; a is j Denotes [ j-1,j]The number of people arriving at a station at the remote parking lot side in the time slot; a is 0 Indicating the number of initial waiting persons; c F For a fixed energy cost for a single departure C V Energy cost coefficient for the number of single marshalling vehicles, mu ≦ 1 is energy calculation coefficient, c i The total passenger carrying capacity of the marshalling with the number of vehicles i is obtained by multiplying the number of marshalling vehicles i by the passenger carrying capacity of a single modularized automatic driving bus;
the safety constraint is used for ensuring that at most one grouped modular automatic bus is sent in one time slot, and the formula is as follows:
Figure BDA0003817168590000111
the people conservation constraint is used for ensuring the calculation rationality of the scheduling scheme and dividing the number of waiting people q at the time of starting 0 The number of waiting passengers q at the time of receiving the train J The number of waiting passengers at the end of the other time slots is the number of waiting passengers at the end of the previous time slot, the number of passengers newly arriving at a station at the side of a remote parking lot is added, and then the passenger carrying capacity of the modularized automatic driving bus departure and the maximum value of 0 are subtracted, wherein the formula is as follows:
q 0 ＝a 0
Figure BDA0003817168590000112
q J ＝0
the operation quality constraint comprises an excessive number of people constraint and an insufficient number of people constraint;
the people number excess constraint is used for ensuring that the number of waiting passengers in each time slot is not more than the maximum number Q of waiting passengers, so as to limit the maximum waiting time of passengers. The time slot is set to 5 minutes, the maximum grouping number is 25, the passenger carrying capacity of each carriage is 6, and in order to prevent passengers from being unable to get on the train within 15 minutes, the maximum number of people that the system can carry is 15/5 · 25 · 6, namely 450 people. The formula is as follows:
Figure BDA0003817168590000113
the constraint of too few people is used for ensuring the departure frequency, one vehicle must be sent in three time slots, and the formula is as follows:
Figure BDA0003817168590000114
in the formula, x ij-1 、x ij-2 Are all binary variables, and represent that the codes are dispatched at the time j-1 and the time j-2And if the modular automatic bus with the group number i is not driven, 1 is taken out, and otherwise, 0 is taken out.
The model solution of the scheduling scheme generation module adopts a direct solution, a linear solution or a heuristic algorithm. The modular bus departure plan for one hour a day at Guangzhou white cloud airport was solved with a Gurobi business solver, as shown in Table 2.
Table 2: arrival station predicted passenger number and modular bus departure plan
Figure BDA0003817168590000115
Figure BDA0003817168590000121
The operation module comprises an appointment small program, a remote parking lot side station, an airport terminal building side station, a modular bus, and a modular bus lane between the remote parking lot and the airport terminal building;
the reservation small program is used for collecting the name, flight number, boarding gate, number of passengers, arrival date and specific time of the remote parking lot and paying the parking fee on line;
the remote parking lot side station and the airport terminal building side station respectively comprise a grouping line and a parking line of a modular automatic driving bus, a passenger waiting area, a passenger dropping area and a bus taking toll station; the remote parking lot side station and the airport terminal building side station also comprise corresponding parking service and airport terminal building passenger service;
the modularized public transport lane between the remote parking lot and the station building is set as a special lane;
and the modular buses are grouped and dispatched according to the generated modular bus dispatching scheme, and come and go to remote parking lot side stations and airport terminal side stations. For the conditions of a plurality of remote parking lots and a plurality of terminal buildings, modular buses start from different remote parking lots and are combined at a route intersection; the passengers go to different station buildings and split at the bifurcation of the route so as to complete the passenger connection between the remote parking lot and the airport station building; as shown in fig. 3, the number of the modular buses driven out from the remote parking lot 1 is 1, the number of the modular buses driven out from the remote parking lot 2 is 2, the modular buses and the modular buses are merged to run on a road section with a coincident route, passengers adjust the modular bus compartments according to different destinations, and then the modular buses are separated at the bifurcations of the route and respectively drive to the terminal buildings 1 and 2.
As shown in fig. 4, the system operation flow of the passenger angle includes the following steps:
the passengers fill in information and pay fees on the reservation small program;
the passenger drives to a remote parking lot, and the parking lot scans the vehicle number plate to be matched with the background reservation data; passengers find parking spaces and park;
if the passenger does not have the luggage for consignment, the boarding check can be directly printed on a self-service machine at a station at the side of the remote parking lot; if the passenger has the luggage consignment, the passenger goes to the terminal building and then checks in the consignment and prints the boarding check;
passengers wait for departure in a waiting area, then take the modular automatic driving bus and go to a corresponding terminal building through a special lane;
passengers get off the station building in the landing area and directly go through security inspection or handling and consignment; the modularized public transport carries the passengers leaving the port to return to the remote parking lot.
The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.

Claims (7)

1. The utility model provides an airport passenger system of dredging based on modularization autopilot bus is plugged into, its characterized in that includes:
the data acquisition module is used for fusing multi-source data to predict the number of people arriving at a station at the side of a remote parking lot in each time slot and determining a performance parameter, a passenger time cost parameter and an operation parameter of the modular automatic driving bus;
the dispatching scheme generation module is used for inputting parameters obtained by the data acquisition module based on the constructed dispatching model and solving a modular automatic driving bus departure plan, namely when the buses are dispatched and the number of the dispatched grouped vehicles is determined, and the aim is to minimize the total economic cost of passengers and an operating institution;
and the operation module is used for automatically grouping and dispatching according to the modular automatic driving bus dispatching plan so as to complete passenger connection between a remote parking lot and an airport terminal.
2. The airport passenger distribution system based on modular autonomous bus docking according to claim 1, characterized in that: in the data acquisition module, the multi-source data includes applet reservation data and airport flight data, specifying B = [0,1,2]Is a set of discrete time points, J is the total number of time slots, J is the discrete time point index,
Figure FDA0003817168580000011
j represents the last discrete time point when J is taken, and the formula for calculating the number of people arriving at the station at the remote parking lot side in each time slot is as follows:
a j ＝α×a 1j +β×a 2j
in the formula, a j Represents [ j-1,j]The estimated number of passengers arriving at a station in a time slot; a is 1j Indicating acquisition of data through applet reservation [ j-1,j]The estimated passenger number arriving at the station in the time slot; a is 2j Indicating acquisition of [ j-1,j by airport flight data]The estimated passenger number arriving at the station in the time slot; α, β represent weights, and α + β =1, α > 0, β > 0;
the estimated number of passengers arriving at a station in each time slot acquired through the small program reservation data can be obtained through statistics based on the time of arriving at a parking lot, which is filled in by a user on a remote parking lot reservation small program;
the estimated passenger number of the arriving station in each time slot obtained by airport flight data has the following calculation formula:
a 2j ＝g(S j *σ)
in the formula, S j Is shown in [ j-1,j]The number of passengers arriving at the terminal building within a period of time after the time slot can be obtained by statistics based on an airport schedule, passenger capacity of each flight and a preset attendance rate; sigma represents the passenger allocation ratio of the modular automatic driving bus to the station building, and can be obtained based on historical operation data and investigation situation data; the function g is fitted to the distribution of passengers arriving at the side stations of the remote parking lot along with the time, and the number of people arriving at the station building by adopting the modular automatic bus driving in a future period is projected to [ j-1,j]Time slot, obtain [ j-1,j]The number of passengers arriving at a station at the side of a remote parking lot in a time slot can be calculated by adopting a second-order Gaussian mixture model and can also be obtained based on survey data;
the weights can be optimized in a variety of ways based on historical data, with the goal of minimizing the error between the calculated and actual values, and are updated periodically.
3. The airport passenger distribution system based on modular autonomous bus docking according to claim 1, characterized in that: in the data acquisition module, the performance parameters of the modular automatic driving bus comprise the passenger carrying capacity of a single modular vehicle, the fixed energy cost of single departure, the energy cost coefficient and the energy calculation coefficient of the number of single grouped vehicles; the passenger time cost parameter comprises the waiting cost of each passenger in unit time; the operation parameters comprise the minimum departure time interval and the maximum vehicle grouping number.
4. The airport passenger distribution system based on modular autonomous bus docking according to claim 1, wherein: in the scheduling scheme generating module, the scheduling model is applied to a passenger docking system based on a modular automatic bus at a single starting and ending point, and a modular automatic bus departure plan at the starting point is solved, namely when the passengers depart and the departure are grouped into the number of vehicles, and the aim of the scheduling model is to minimize the total economic cost of the passengers and an operating institution, and the scheduling model comprises the following assumptions:
specify a = [0,1,2]Is a vehicle composition set, I is the maximum vehicle composition number, I is a vehicle composition index,
Figure FDA0003817168580000021
adopting a discretization thought to solve the time range of the departure plan [0,T ]]Dividing the time slot into J integer time slots delta, wherein delta = T/J; specify B = [0,1,2]Is a set of discrete time points, J is the total number of time slots, J is the discrete time point index,
Figure FDA0003817168580000031
j represents the last discrete time point in the time range when J is taken;
decision variable x ij The binary variable represents whether the modular automatic driving buses with the grouping number i are dispatched at the time j or not, namely whether the departure is determined at each discrete time point j and the corresponding departure grouping vehicle number is determined.
5. The airport passenger distribution system based on modular autonomous bus docking according to claim 4, wherein: the scheduling model comprises an objective function, a safety constraint, a people number conservation constraint and an operation quality constraint;
the objective function calculation formula is as follows:
Figure FDA0003817168580000032
in the formula, cost total Represents the total economic cost of the passenger and the operating institution; cost agency Representing a modular autonomous bus operation cost; cost passenger Representing the time cost of waiting for a passenger; f. of i Representing the total energy cost of the vehicle with the number of the single departure component vehicles being i; x is the number of ij Is a binary variable which indicates whether the modular automatic driving bus with the grouping number i is dispatched or not at the time j, and x is dispatched ij =1, otherwise x ij =0; δ represents a fixed slot length; w represents the average waiting cost of each passenger in unit time; q. q.s j-1 Represents the number of passengers waiting for getting on at time j-1; a is j To represent[j-1,j]The number of people arriving at a station at the remote parking lot side in the time slot; a is 0 Indicating the number of initial waiting persons; c F For a fixed energy cost for a single departure C V Energy cost coefficient for the number of single marshalling vehicles, mu ≦ 1 is energy calculation coefficient, c i The total passenger capacity of the marshalling with the number of vehicles i is represented and obtained by multiplying the number of marshalled vehicles i by the passenger capacity of a single modular automatic driving bus;
the safety constraint is used for ensuring that at most one grouped modular automatic bus is sent in one time slot, and the formula is as follows:
Figure FDA0003817168580000033
the people conservation constraint is used for ensuring the calculation rationality of the scheduling scheme and dividing the number of waiting people q at the time of starting 0 The number of waiting passengers q at the time of receiving the train J The number of waiting passengers at the end of the other time slots is the number of waiting passengers at the end of the previous time slot, the number of passengers newly arriving at a station at the side of a remote parking lot is added, and then the maximum value of the passenger carrying capacity of the modularized automatic driving bus departure and 0 is subtracted, wherein the formula is as follows;
q 0 ＝a 0
Figure FDA0003817168580000041
q J ＝0
the operation quality constraint comprises an excessive number of people constraint and an insufficient number of people constraint;
the number-of-people excess constraint is used for ensuring that the number of waiting passengers in each time slot is not more than the maximum number Q of waiting passengers, so as to limit the longest waiting time of passengers, and the formula is as follows:
Figure FDA0003817168580000042
the constraint of too few people is used for ensuring the departure frequency, one vehicle must be sent in three time slots, and the formula is as follows:
Figure FDA0003817168580000043
in the formula, x ij-1 、x ij-2 The number of the groups is i, and the number of the groups is 1 when the groups are dispatched, or 0 when the groups are dispatched.
6. The airport passenger distribution system based on modular autonomous bus docking according to claim 1, characterized in that: the model solution of the scheduling scheme generation module adopts a direct solution, a linear solution or a heuristic algorithm.
7. The airport passenger distribution system based on modular autonomous bus docking according to claim 1, wherein: the operation module comprises a small appointment program, a remote parking lot side station, an airport terminal building side station, a modular automatic driving bus, and a modular automatic driving bus lane between the remote parking lot and the airport terminal building;
the reservation small program is used for collecting the name, flight number, boarding gate, number of passengers, arrival date and specific time of the remote parking lot and paying the parking fee on line;
the remote parking lot side station and the airport terminal building side station respectively comprise a grouping line and a parking line of a modular automatic driving bus, a passenger waiting area, a passenger dropping area and a bus taking toll station; the remote parking lot side station and the airport terminal building side station further comprise corresponding parking service and airport terminal building passenger service;
the modularized automatic driving bus lane between the remote parking lot and the station building is set as a special lane;
the modularized automatic driving buses are grouped and dispatched according to the generated modularized automatic driving bus dispatching scheme, and come and go to remote parking lot side stations and airport terminal building side stations; for the conditions of a plurality of remote parking lots and a plurality of terminal buildings, modular automatic bus driving starts from different remote parking lots and is combined at a route intersection; and the passengers go to different station buildings and split at the bifurcation of the route so as to complete the passenger connection between the remote parking lot and the airport station building.
CN202211030620.0A 2022-08-26 2022-08-26 Airport passenger distributing and transporting system based on modular automatic driving bus connection Pending CN115456257A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115620526B (en) * 2022-12-21 2023-03-07 中国民航大学 Airport land side traffic management system based on big data analysis and optimization method
CN115952985A (en) * 2022-12-21 2023-04-11 大连理工大学 Mixed scheduling method of module vehicle and bus in multi-line multi-shift traffic system

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115620526B (en) * 2022-12-21 2023-03-07 中国民航大学 Airport land side traffic management system based on big data analysis and optimization method
CN115952985A (en) * 2022-12-21 2023-04-11 大连理工大学 Mixed scheduling method of module vehicle and bus in multi-line multi-shift traffic system
CN115952985B (en) * 2022-12-21 2023-08-18 大连理工大学 Mixed scheduling method of module vehicle and bus in multi-line multi-shift traffic system

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