CN103500499A - Induction method and system for comprehensive passenger transport hub passenger transportation mode selection - Google Patents
Induction method and system for comprehensive passenger transport hub passenger transportation mode selection Download PDFInfo
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Abstract
The invention discloses an induction method and an induction system for comprehensive passenger transport hub passenger transportation mode selection. The induction method comprises the steps that the transfer time is predicated, wherein the transfer time is the time when passengers reach a transfer station from a comprehensive passenger transport hub and leave away from the transfer station; the transfer modes, the transfer station and the predicting time leaving from the transfer station are issued at the comprehensive passenger transport hub; the passengers select the transfer modes according to the issued information of the comprehensive passenger transport hub. The induction method and the induction system have the advantages that through the information issuing and the predication of the transfer time between the external traffic mode and the internal traffic mode of the comprehensive passenger transport hub, the data reference is provided for the traffic transfer and the mode selection of the passengers, the problems of overlong passenger waiting time, unbalanced passenger assignment of each traffic mode and the like caused by the blind selection of certain traffic modes by the passengers are avoided, the passengers are effectively induced to transfer in the traffic mode with small passenger flow volume and short waiting time, and the operation efficiency of the hub and the satisfaction degree of the passengers are improved.
Description
Technical field
The present invention relates to a kind of technical field of traffic transportation, specifically, relate to a kind of abductive approach and system of selecting for comprehensive passenger transport hub passenger mode of transportation.
Background technology
Comprehensive passenger transport hub, as the important node of city integrated transportation network, is that multiple communications and transportation mode passenger flow is assembled ground, and the volume of the flow of passengers is large, transfer concerns complexity, and between each mode of transportation, transfer distance is long.As the passenger from Passenger Transport Hub, for example: railway station or airport out after, face the problem of selecting which kind of mode of transportation to leave hinge, therefore, how to help the passenger to select fast suitable mode of transportation, leave hinge within the shortest time, be conducive to promote the collecting and distributing efficiency of passenger flow and passenger's satisfaction of comprehensive passenger transport hub.
At present, the abductive approach that domestic comprehensive passenger transport hub passenger mode of transportation is selected is mainly that static information is induced, and usually adopts mark and label to carry out path and induces, or issue the time-table of departure of each mode of transportation, helps the passenger to select suitable mode of transportation.The problems such as each mode of transportation passenger flow distribution is uneven, and part mode of transportation queuing time is long, passenger flow is crowded so often occur, have a strong impact on the efficiency of operation of comprehensive passenger transport hub.
The factor that affects the selection of passenger's mode of transportation in comprehensive passenger transport hub has a lot, such as transfer time, transfer cost and each mode of transportation comfort level, service level etc., and comfort level, the service level of transfer cost and each mode of transportation are known to the passenger, it is unknown only having the transfer time, the passenger does not know need to how long can arrive waiting a little of transfer mode of transportation, do not know to wait yet and how long just can get on the bus and leave.Therefore, the present invention, by prediction and the issue of transfer time, provides reference for the passenger selects suitable mode of transportation fast.
Summary of the invention
The invention provides a kind of abductive approach of selecting for comprehensive passenger transport hub passenger mode of transportation, solved each mode of transportation passenger flow of existing comprehensive passenger transport hub distribute uneven, the technical matters such as part mode of transportation queuing time is long, passenger flow is crowded.
In order to solve the problems of the technologies described above, the present invention is achieved by the following technical solutions:
The abductive approach that a kind of comprehensive passenger transport hub passenger mode of transportation is selected, comprise the steps:
(1) predicted to the time that the transfer time extremely changes to point and leaves from the transfer point from comprehensive passenger transport hub for the passenger transfer time;
(2) predicted time transfer manner, transfer being put and leave from the transfer point is issued at comprehensive passenger transport hub;
(3) passenger carries out the selection of transfer manner according to the information of comprehensive passenger transport hub issue.
Wherein, the transfer time prediction is comprised to walking time prediction and waiting time prediction.
And, for the transfer point that needs booking and/or safety check, the walking time prediction comprises booking and/or safety check time.
In order to guarantee the accuracy of transfer time, when the transfer time is predicted, need to the walking time, be revised according to the degree of crowding of comprehensive passenger transport hub.
On the one hand, waiting time prediction comprises the dispatch a car time prediction of mode of fixed time table, and Forecasting Methodology is:
n＝int(D/S)
The waiting time that W-is the transfer of Q passenger flow;
T
0-time of leaving from comprehensive passenger transport hub for the passenger;
R (Q)-be the walking time;
D-is t
1the time be engraved in the transfer passenger queue number, t
1for the passenger arrives the time of waiting a little;
S-is the residue handling capacity of passengers of transfer vehicle;
δ
i-for changing to the departure interval of vehicle;
N-dispatches a car for the passenger need to wait n order of classes or grades at school;
T
next class-be n+1 order of classes or grades at school time of arrival.
On the other hand, waiting time prediction comprises the dispatch a car waiting time prediction of mode of flowing water, and Forecasting Methodology is:
W(Q)＝D/v
v＝λ×L
Wherein:
The waiting time that W-is the transfer of Q passenger flow;
D-is t
1the time be engraved in the transfer passenger queue number;
V-is t
1the time be engraved in the transfer passenger the queue translational speed;
L-is t
1number of cars sended per hour constantly;
λ-for changing to the average passenger occupancy of mode of transportation.
Again on the one hand, the waiting time prediction comprises the waiting time prediction of regularly dispatching a car with the full combination of dispatching a car, and Forecasting Methodology is:
W(Q)＝ω×(D/S)..................(Mod(D/S)＝0)
Wherein:
The waiting time that W-is the transfer of Q passenger flow;
D-is t
1the time be engraved in the transfer passenger queue number;
S-is the rated passenger capacity of transfer vehicle;
δ-for changing to the departure interval of vehicle;
ω-for changing to the average pickup time of vehicle;
The design of the abductive approach of selecting based on above-mentioned comprehensive passenger transport hub passenger mode of transportation, the invention allows for a kind of inducible system, comprising:
Transfer time prediction module: for predicting the passenger from comprehensive passenger transport hub to the transfer point and the time of leaving from transfer;
Information issuing module: issued at comprehensive passenger transport hub for a predicted time of transfer manner, transfer being put and leave from the transfer point;
Passenger's queue number detection module: for detection of a transfer point passenger queue number, and by described queue number communication to the transfer time prediction module;
Passenger's queue translational speed module: for detection of the translational speed of transfer point passenger queue, and described translational speed is transferred to the transfer time prediction module;
Monitoring modular, for monitor vehicle seating capacity, and, according to rated passenger capacity, calculate the residue seating capacity, will remain seating capacity's communication to the transfer time prediction module;
Photographing module: for monitoring the comprehensive passenger transport hub passenger flow degree of crowding, and the described degree of crowding is transferred to the transfer time prediction module.
Compared with prior art, advantage of the present invention and good effect are:
The present invention is by prediction and information issue to the transfer time between the external mode of transportation of comprehensive passenger transport hub and internal mode of transportation, for passenger's traffic transfer and mode select to provide the data reference, avoid the passenger blindly to select certain mode of transportation to cause each mode of transportation passenger flow to distribute the problems such as uneven, that passenger's waiting time is long, effectively induce the mode of transportation that the passenger is few to the volume of the flow of passengers, waiting time is short to shift, to improve hinge efficiency of operation and passenger's satisfaction.
After reading by reference to the accompanying drawings the detailed description of embodiment of the present invention, it is clearer that the other features and advantages of the invention will become.
The accompanying drawing explanation
Fig. 1 is the process flow diagram of specific embodiment of the invention abductive approach.
Fig. 2 is specific embodiment of the invention passenger transference time diagram.
Fig. 3 is the theory diagram of specific embodiment of the invention inducible system.
Embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in more detail:
Shown in Figure 1, the present embodiment has proposed the abductive approach that a kind of comprehensive passenger transport hub passenger mode of transportation is selected, by prediction and the issue of passenger transference time, induce the passenger to select suitable mode of transportation according to the length of transfer time, for passenger's mode of transportation selects to provide reference.
The present embodiment be take comprehensive passenger transport hub as airport; transfer manner is that subway, taxi, airport limousine are that example is specifically described; certainly; other Passenger Transport Hub; as: railway station, long-distance bus station etc.; other transfer manners, as: implementation and the present embodiment of buses etc. are similar, all within protection scope of the present invention.
One, the transfer time Forecasting Methodology of airport-subway, the transfer time prediction comprises walking time prediction and waiting time prediction, wherein, owing to taking subway, needs booking and safety check, thereby booking time and safety check time are all calculated within the walking time.
As follows from passenger's walking time Forecasting Methodology of airport-subway:
R (Q)=t
booking+ t
safety check+ (1+ β) t
walking
T
walking=l/v
R＝t
1-t
0
The R-Q passenger flow arrives the time that the transfer subway is waited a little;
T
booking-subway booking the time;
T
safety check-subway safety check the time;
β-correction factor;
T
walking-the walking time;
L-path number (rice)
The v-walking speed, generally carry luggage and be taken as 1.2 meter per seconds, do not carry luggage and be taken as the 1.3-1.6 meter per second.
Passenger ticket buying time t
booking, safety check time t
safety checkcan be set according to actual conditions and the volume of the flow of passengers size of each mode of transportation.Because passenger's walking time is predicted mainly and carries out based on conventional passenger, therefore do not consider the factors such as passenger's oneself factor, routing, therefore correction factor β is only relevant with the hinge passenger flow degree of crowding, select the size of correction factor β according to the hinge passenger flow degree of crowding detected.
Because subway is that fixed time is dispatched a car, therefore, passenger's waiting time of fixed time table mode of transportation is for arriving the poor of a time of waiting and next regular bus time of arrival, that is:
n＝int(D/S)
The waiting time that W-is the transfer of Q passenger flow;
T
0-time of leaving from comprehensive passenger transport hub for the passenger;
R (Q)-be the walking time;
D-is t
1the time be engraved in the transfer passenger queue number, t
1for the passenger arrives the time of waiting a little, can make subway at t
1queue number constantly with at t
0queue number constantly is identical, or is determined according to history phase queue number in the same time;
S-is the residue handling capacity of passengers of transfer subway, the handling capacity of passengers of S=rated passenger capacity-, and wherein, handling capacity of passengers can be added counter by the subway supervisory system or at subway upper and lower opening place and be collected;
δ
i-for changing to the departure interval of subway;
N-dispatches a car for the passenger need to wait n order of classes or grades at school;
T
next class-be n+1 order of classes or grades at school time of arrival.
Two, the transfer time Forecasting Methodology of airport-taxi, the transfer time prediction comprises walking time prediction and waiting time prediction.
As follows from passenger's walking time Forecasting Methodology of airport-taxi:
R (Q)=(1+ β) t
walking
T
walking=l/v
The R-Q passenger flow arrives the time that the transfer subway is waited a little;
β-correction factor;
T
walking-the walking time;
L-path number (rice)
The v-walking speed, generally carry luggage and be taken as 1.2 meter per seconds, do not carry luggage and be taken as the 1.3-1.6 meter per second.
Because passenger's walking time is predicted mainly and carries out based on conventional passenger, therefore do not consider the factors such as passenger's oneself factor, routing, therefore correction factor β is only relevant with the hinge passenger flow degree of crowding, select the size of correction factor β according to the hinge passenger flow degree of crowding detected.
Taxi generally adopts the flowing water mode of dispatching a car, and is generally a people or many people (companion) take same taxi, after the passenger gets on the bus, leaves immediately machine, so its waiting time and current passenger's queue number, taxi supply are relevant.The waiting time of taxi is:
W(Q)＝D/v
v＝λ×L
Wherein:
The waiting time that W-is the transfer of Q passenger flow;
D-is t
1the time be engraved in the transfer passenger queue number;
V-is t
1the time be engraved in the transfer passenger the queue translational speed;
L-is t
1number of cars sended per hour constantly;
λ--be the average passenger occupancy of taxi, be generally 1.3～1.8 people/car.
Three, the transfer time Forecasting Methodology of airport-airport limousine, the transfer time prediction comprises walking time prediction and waiting time prediction.
As follows from passenger's walking time Forecasting Methodology of airport-airport limousine:
R (Q)=(1+ β) t
walking
T
walking=l/v
The R-Q passenger flow arrives the time that the transfer subway is waited a little;
β-correction factor;
T
walking-the walking time;
L-path number (rice)
The v-walking speed, generally carry luggage and be taken as 1.2 meter per seconds, do not carry luggage and be taken as the 1.3-1.6 meter per second.
Because passenger's walking time is predicted mainly and carries out based on conventional passenger, therefore do not consider the factors such as passenger's oneself factor, routing, therefore correction factor β is only relevant with the hinge passenger flow degree of crowding, select the size of correction factor β according to the hinge passenger flow degree of crowding detected.
Because the airport limousine handling capacity of passengers is larger, the general employing regularly dispatched a car and the full mode of dispatching a car and combining, so its waiting time and current queue number, airport limousine capacity, timing departure interval are relevant.The waiting time of airport limousine is:
W(Q)＝ω×(D/S).................(Mod(D/S)＝0)
Wherein:
The waiting time that W-is the transfer of Q passenger flow;
D-is t
1the time be engraved in the transfer passenger queue number;
S-is the rated passenger capacity of transfer vehicle;
δ-for changing to the departure interval of vehicle;
ω-for changing to the average pickup time of airfield vehicle;
Certainly, if the mode of dispatching a car of airport limousine adopts fixed time table mode, its waiting time prediction can be with reference to the prediction mode of subway.
Exit on airport was issued the prediction transfer time of subway, taxi, airport limousine, can show by eye-catching LED display, induce the passenger to select the fastest transfer manner, to save passenger's time, simultaneously can rapid evacuation hinge passenger, improve the hinge efficiency of operation.
The design of the abductive approach of selecting based on above-mentioned comprehensive passenger transport hub passenger mode of transportation, this enforcement has also proposed a kind of inducible system, comprising:
Passenger's queue number detection module: for detection of a transfer point passenger queue number, and by described queue number communication to the transfer time prediction module;
Passenger's queue translational speed module: for detection of the translational speed of transfer point passenger queue, and described translational speed is transferred to the transfer time prediction module.
Photographing module: for monitoring the comprehensive passenger transport hub passenger flow degree of crowding, and the described degree of crowding is transferred to the transfer time prediction module.
Monitoring modular, for monitor vehicle seating capacity, and, according to rated passenger capacity, calculate the residue seating capacity, will remain seating capacity's communication to the transfer time prediction module.
Transfer time prediction module: for the time of according to above-mentioned information prediction passenger, from comprehensive passenger transport hub, extremely changing to point and leaving from the transfer point, and predicted time is shown in information issuing module;
Information issuing module: issued at comprehensive passenger transport hub for a predicted time of transfer manner, transfer being put and leave from the transfer point.
Certainly; above-mentioned explanation is not limitation of the present invention; the present invention also is not limited in above-mentioned giving an example, and the variation that those skilled in the art make in essential scope of the present invention, remodeling, interpolation or replacement, also should belong to protection scope of the present invention.
Claims (10)
1. the abductive approach that a comprehensive passenger transport hub passenger mode of transportation is selected, it is characterized in that: described method comprises the steps:
(1) predicted to the time that the transfer time extremely changes to point and leaves from the transfer point from comprehensive passenger transport hub for the passenger transfer time;
(2) predicted time transfer manner, transfer being put and leave from the transfer point is issued at comprehensive passenger transport hub;
(3) passenger carries out the selection of transfer manner according to the information of comprehensive passenger transport hub issue.
2. the abductive approach that comprehensive passenger transport hub passenger mode of transportation according to claim 1 is selected is characterized in that: the transfer time prediction is comprised to walking time prediction and waiting time prediction.
3. the abductive approach that comprehensive passenger transport hub passenger mode of transportation according to claim 2 is selected is characterized in that: for the transfer point that needs booking and/or safety check, the walking time prediction comprises booking and/or safety check time.
4. the abductive approach that comprehensive passenger transport hub passenger mode of transportation according to claim 2 is selected, is characterized in that: when the transfer time is predicted, need to the walking time, be revised according to the degree of crowding of comprehensive passenger transport hub.
5. the abductive approach of selecting according to the described comprehensive passenger transport hub passenger of claim 2-4 any one mode of transportation is characterized in that: described waiting time prediction comprises the dispatch a car time prediction of mode of fixed time table, and Forecasting Methodology is:
n＝int(D/S)
The waiting time that W-is the transfer of Q passenger flow;
T
0-time of leaving from comprehensive passenger transport hub for the passenger;
R (Q)-be the walking time;
D-is t
1the time be engraved in the transfer passenger queue number, t
1for the passenger arrives the time of waiting a little;
S-is the residue handling capacity of passengers of transfer vehicle;
δ
i-for changing to the departure interval of vehicle;
N-dispatches a car for the passenger need to wait n order of classes or grades at school;
T
next class-be n+1 order of classes or grades at school time of arrival.
6. the abductive approach of selecting according to the described comprehensive passenger transport hub passenger of claim 2-4 any one mode of transportation is characterized in that: described waiting time prediction comprises the dispatch a car waiting time prediction of mode of flowing water, and Forecasting Methodology is:
W(Q)＝D/v
v＝λ×L
Wherein:
The waiting time that W-is the transfer of Q passenger flow;
D-is t
1the time be engraved in the transfer passenger queue number;
V-is t
1the time be engraved in the transfer passenger the queue translational speed;
L-is t
1number of cars sended per hour constantly;
λ-for changing to the average passenger occupancy of mode of transportation.
7. the abductive approach of selecting according to the described comprehensive passenger transport hub passenger of claim 2-4 any one mode of transportation is characterized in that: described waiting time prediction comprises the waiting time prediction of regularly dispatching a car with the full combination of dispatching a car, and Forecasting Methodology is:
W(Q)＝ω×(D/S)..................(Mod(D/S)＝0)
Wherein:
The waiting time that W-is the transfer of Q passenger flow;
D-is t
1the time be engraved in the transfer passenger queue number;
S-is the rated passenger capacity of transfer vehicle;
δ-for changing to the departure interval of vehicle;
ω-for changing to the average pickup time of vehicle;
8. the inducible system that a comprehensive passenger transport hub passenger mode of transportation is selected, it is characterized in that: described system comprises:
Transfer time prediction module: for predicting the passenger from comprehensive passenger transport hub to the transfer point and the time of leaving from transfer;
Information issuing module: issued at comprehensive passenger transport hub for a predicted time of transfer manner, transfer being put and leave from the transfer point.
9. the inducible system that comprehensive passenger transport hub passenger mode of transportation according to claim 8 is selected, it is characterized in that: described system comprises:
Passenger's queue number detection module: for detection of a transfer point passenger queue number, and by described queue number communication to the transfer time prediction module;
Passenger's queue translational speed module: for detection of the translational speed of transfer point passenger queue, and described translational speed is transferred to the transfer time prediction module;
Monitoring modular, for monitor vehicle seating capacity, and, according to rated passenger capacity, calculate the residue seating capacity, will remain seating capacity's communication to the transfer time prediction module.
10. the inducible system that comprehensive passenger transport hub passenger mode of transportation is according to claim 8 or claim 9 selected, it is characterized in that: described system comprises photographing module, for monitoring the comprehensive passenger transport hub passenger flow degree of crowding, and the described degree of crowding is transferred to the transfer time prediction module.
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| JP2022063211A (en) * | 2020-10-10 | 2022-04-21 | 天津市政工程設計研究総院有限公司 | System and method for announcement of length of queue in multi-modal passenger transportation hub |
| JP7206334B2 (en) | 2020-10-10 | 2023-01-17 | 天津市政工程設計研究総院有限公司 | Queue length announcement system and method within multimodal passenger transport hub |
| CN113361984A (en) * | 2021-08-11 | 2021-09-07 | 北京航空航天大学杭州创新研究院 | Air port passenger flow and transport power flow dynamic coupling method and system based on mutual feedback model |
| CN116542404A (en) * | 2023-07-07 | 2023-08-04 | 北京市运输事业发展中心 | Prediction method for continuous transfer time of station-supporting passengers of passenger transportation hub station |
| CN116542404B (en) * | 2023-07-07 | 2023-09-15 | 北京市运输事业发展中心 | Prediction method for continuous transfer time of station-supporting passengers of passenger transportation hub station |
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