CN111178597B - Car pooling order line generation method and device - Google Patents
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- 238000004590 computer program Methods 0.000 claims description 4
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
Abstract
The invention discloses a method and a device for generating a carpool order route. The method comprises the steps of obtaining a car pooling order in a first time period, generating an initial line according to a departure order, updating the initial line according to an optimization target to generate a line to be started, inserting a departure order meeting matching conditions into the line to be started, updating the line to be started, and updating the line to be started according to the optimization target; and when the departure condition is met, the vehicle is operated according to the route to be departed, the route to be departed is changed into the running route, the port entering order meeting the waiting time threshold value condition and the optimization target is inserted into the running route, and the running route is updated until the vehicle finishes the pick-up and delivery task. The service order number of the single carpooling line is improved, the carpooling line is dynamically optimized, dynamic adjustment is carried out according to the change of the follow-up line, and the carpooling efficiency is improved.
Description
Technical Field
The invention relates to the field of software, in particular to a method and a device for generating a route of a car pooling order.
Background
With the further popularization of a positioning system and a smart phone, the network taxi booking trip capable of meeting the demand of passengers in real time gradually replaces the traditional taxi trip, but in some current taxi-pooling algorithms, one taxi service only can be one to two passengers, the taxi-pooling rate is low, real-time adjustment can not be carried out, route optimization is not carried out by combining taxi-pooling scenes, management constraints on the taxi are loose, after a taxi-pooling task is completed, the taxi usually runs according to the intention of a driver, the resource of the taxi cannot be fully utilized, the problem of 'difficulty in taking the taxi' in a rush hour is not effectively solved by the network taxi booking, and the problems of pollution and congestion cannot be improved. Therefore, a method for generating a car pooling order line, which can meet the requirements of passengers, save cost and time and dynamically optimize the car pooling order line according to road conditions, is needed.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a carpool order route generation method which can meet the requirements of passengers, save cost and time and dynamically optimize according to the road conditions.
In a first aspect, an embodiment of the present invention provides a: a method for generating a route of a car pool order comprises the following steps:
obtaining carpooling orders in a first time period, wherein the carpooling orders comprise departure orders and entry orders;
generating an initial line according to the departure order, updating the initial line according to an optimization target, and generating a line to be departed, wherein the line to be departed only comprises the departure order;
inserting the inbound orders meeting the matching conditions into the route to be started, updating the route to be started, and updating the route to be started according to the optimization target;
when the departure condition is met, vehicle operation is carried out according to the route to be departed, the route to be departed is changed into the running route, and the departure condition comprises the following steps: available vehicles when arriving at departure time;
and adjusting the port entering orders meeting the waiting time threshold condition and the optimization goal in the running route, and updating the running route until the vehicles finish the pick-up task.
Further, the generating an initial route according to the departure order includes: and selecting the departure orders with the least added routes one by one to generate the initial routes.
Further, the optimization objective refers to a profit objective, including: and generating a new line through an order in the exchange line and/or an order between the exchange lines, calculating the profit of the new line, and selecting the line with the highest profit.
Further, the inserting the inbound order meeting the matching condition into the route to be departed includes:
judging whether the boarding time of the inbound order meets the time requirement of the line to be started or not, if so, performing line matching on the inbound order and the line to be started according to the matching condition, if so, inserting the line, and otherwise, forming a new line to arrange other vehicles to serve the inbound order;
the matching conditions include: the method comprises the following steps of running time window matching, car sharing time optimization matching, vehicle passenger number matching and receiving and sending strategy matching.
Further, when the running line exists, the inbound order is preferentially matched with the running line in line matching.
Further, the step of preprocessing the order after the obtaining of the carpool order in the first time period comprises expanding the getting-on time in the carpool order into a getting-on time window.
Further, the latency threshold condition includes: and after the route adjustment is carried out, if the waiting time of the vehicles in the route is greater than the waiting time threshold, rejecting the route adjustment.
In a second aspect, an embodiment of the present invention provides B, a car pool order line generation apparatus, including:
an acquisition module: the taxi sharing method comprises the steps of obtaining taxi sharing orders in a first time period, wherein the taxi sharing orders comprise departure orders and arrival orders;
an initial line generation module: the system is used for generating an initial route according to the departure order and updating the initial route according to an optimization target to generate a route to be departed, wherein the route to be departed only comprises the departure order;
a to-be-started line generation module: the system is used for inserting the inbound orders meeting the matching conditions into the route to be started, updating the route to be started and updating the route to be started according to the optimization target;
the running route generation module: the departure condition comprises that: available vehicles when arriving at departure time;
updating the line module: the method is used for adjusting the inbound orders meeting the waiting time threshold condition and the optimization goal in the running route, and updating the running route until the vehicles complete the pick-up task.
In a third aspect, the present invention provides a car pooling order line generating device, including:
at least one processor, and a memory communicatively coupled to the at least one processor;
wherein the processor is adapted to perform the method of any one of the first aspect by invoking a computer program stored in the memory.
In a fourth aspect, the invention provides a computer-readable storage medium having stored thereon computer-executable instructions for causing a computer to perform the method of any one of the first aspects.
The invention has the beneficial effects that:
the method comprises the steps of obtaining a car pooling order in a first time period, generating an initial line according to a departure order, updating the initial line according to an optimization target to generate a line to be started, inserting a departure order meeting matching conditions into the line to be started, updating the line to be started, and updating the line to be started according to the optimization target; and when the departure condition is met, carrying out vehicle operation according to the route to be departed, changing the route to be departed into the running route, inserting the entrance order meeting the waiting time threshold value condition and the optimization target into the running route, and updating the running route until the vehicle finishes the pick-up task. The carpooling route is generated aiming at the entrance and exit scenes, the service order number of a single carpooling route is improved, the carpooling route is dynamically optimized, dynamic adjustment is carried out according to the change of the subsequent route, the transportation constraint of the existing algorithm to the vehicle is changed into strict constraint, the order distribution rule provided by the carpooling data is fully utilized to effectively dispatch the vehicle, the possibly-appearing demand-intensive area is arranged in advance, and the carpooling efficiency is improved.
The method can be widely applied to the field of car pooling algorithms.
Drawings
FIG. 1 is a flowchart illustrating an implementation of a method for generating a route of a carpool order according to an embodiment of the present invention;
fig. 2a to fig. 2b are schematic circuit switching diagrams of a car pool order line generation method according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a method for generating a route of a car pool order according to an embodiment of the present invention;
fig. 4 is a block diagram of a car pool order line generating apparatus according to an embodiment of the present invention.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following description will be made with reference to the accompanying drawings. It is obvious that the drawings in the following description are only some examples of the invention, and that for a person skilled in the art, other drawings and embodiments can be derived from them without inventive effort.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
The first embodiment is as follows:
the embodiment is applied to an order intensive scene, such as an optional airport and the like, the airport is selected for illustration, all passengers getting in and out of the airport are target carpooling passengers, and carpooling orders are divided into departure orders from the airport and arrival orders arriving at the airport. For example, for the passengers entering and leaving the airport in a certain time period, the passengers leaving the airport are arranged to take corresponding vehicles, the routes are determined to send the passengers back to the respective destinations, meanwhile, the passengers entering the airport matching with the current route are picked up in the process and finally return to the airport, and the process is repeated to realize the receiving and sending tasks.
An embodiment of the present invention provides a method for generating a route of a car pool order, and fig. 1 is a flowchart illustrating an implementation of the method for generating a route of a car pool order, where as shown in fig. 1, the method includes the following steps:
s1: and obtaining the carpooling orders in the first time period, wherein the carpooling orders comprise departure orders and entry orders.
Since the car pool algorithm is time-efficient and must be specific to some passengers, the target passengers of the car pool order route are set as passengers who submit new orders in the first time period and passengers who do not find a suitable route to wait before, and the first time period can be set according to actual requirements, for example, the first time period is set as [ T, T + Δ T ] time period in the embodiment, and meanwhile, the value of Δ T can be set, for example, as 5 minutes, and T is a multiple of five from zero.
The method comprises the steps that a car sharing order in a first time period is received, orders of passengers entering a port and passengers leaving the port need to be processed respectively, the boarding place of the passengers leaving the port is an airport, and therefore vehicles also start from the airport, car sharing information only needs to check boarding time without checking the boarding place, the boarding place of the passengers entering the port is different from person to person, and the boarding time and the boarding place need to be checked simultaneously through the car sharing information, so that the workload can be reduced, and the car sharing efficiency can be improved.
S2: the method for preprocessing the carpool order specifically comprises the following steps: and expanding the boarding time in the carpool order into a boarding time window, for example, optionally setting the left boundary of the boarding time window as the boarding time minus the preset waiting time, and setting the right boundary as the boarding time.
In this embodiment, during the time period [ T, T + Δ T ], the system will receive a car pool order from a passenger, and the passenger's order generally includes the following information: the boarding place, the boarding time, the alighting place and the number of passengers. Since the departure time of the order submitted by the passenger is usually a time point, if only checking whether the line is right to receive the passenger at the time point is performed when the subsequent carpooling line is generated, the conditions are harsh and not in accordance with the actual situation. Therefore, the present embodiment performs order preprocessing to expand the getting-on time in the carpool order forward, and converts the getting-on time into the getting-on time window, for example, the left boundary of the getting-on time window is set to be the getting-on time minus a preset waiting time (for example, five minutes), and the right boundary is the getting-on time.
S3: the initial route is generated according to the departure order, the initial route is updated according to the optimization target, and the route to be departed is generated, and the route to be departed only contains the departure order.
S4: inserting the inbound orders meeting the matching conditions into the route to be started, updating the route to be started, and updating the route to be started according to the optimization target.
S5: when the departure condition is met, vehicle operation is carried out according to the route to be departed, the route to be departed is changed into the running route, and the departure condition comprises the following steps: when the departure time is reached and the vehicle is available, namely the route is determined well and the route reaches the departure time and the vehicle available can operate the route to be departed, the route can be operated, namely the route to be departed is changed into the route which is in operation.
S6: inserting the entering order meeting the waiting time threshold condition and the optimization target into the running line, and updating the running line until the vehicle finishes the pick-up task.
Specifically, in step S3, the initial route is generated for all the passengers leaving the port, and specifically, the initial route is generated by selecting the departure orders with the least added routes one by using a Solomon algorithm. For example, in the known airport position and the get-off point position of all passengers leaving the airport, the sequence of accessing the get-off points is determined according to the Solomon algorithm based on the minimum increment of each driving distance, namely, firstly, the driver is supposed to send only one passenger leaving the airport, the point with the minimum driving distance from the airport among all the passengers is selected as the first access point of the route, because the minimum driving distance from the airport means that the route of the loop formed by the vehicle after sending the passenger and returning to the airport is shortest, and then the selection method of the second point on the route is as follows: and inserting a certain point in the remaining orders into the loop line formed before, wherein the point which leads the shortest increased route in the points is the second point, and determining the access point by analogy, namely selecting the outbound orders with the least increased route one by one to generate the initial route.
And meanwhile, adjusting and updating the initial route according to the optimization target to generate a route to be started, wherein the route to be started only comprises the departure order. In this embodiment, the optimization objective refers to a profit objective, that is, the generated profit of the line is the maximum, and when the line is adjusted, a new line is generated through an order in the exchange line and/or an order between exchange lines, the profit of the new line is calculated, and the line with the highest profit is selected as the adjusted line.
As shown in fig. 2a to 2b, which are schematic diagrams of circuit switching in the present embodiment, the processes of circuit switching and circuit switching are described with reference to fig. 2a to 2b, and it is assumed that 0 represents the location of an airport, and the locations 1, 2, 3, 4, 5, 6, etc. where each circuit starts and ends represent access points on the circuit. Wherein, fig. 2a is a schematic diagram of the process of the in-circuit switching, i.e. the sequence of points in the circuit is switched, and the circuit 0-1-2-3-4-0 is changed into the circuit 0-1-3-2-4-0; FIG. 2b is a schematic diagram of the process of the circuit switching, wherein the circuit 0-1-2-3-4-0 and the circuit 0-5-6-0 are two circuits, and the circuit switching becomes the circuit 0-1-2-5-0 and the circuit 0-6-3-4-0. And in the same way, multiple route adjustment attempts are carried out within feasible time, whether the optimized route has increased profit compared with the previous route is judged, and the route with the maximum profit is obtained as far as possible.
In this embodiment, the profit is obtained by subtracting the cost from the profit, which is the sum of the fees paid by all the passengers in the line. The calculation of the cost of each passenger can adopt a taxi calculation mode, the starting price is added with the mileage price, and the mileage price is the cost of unit distance multiplied by the total distance; and the cost is calculated based on the mileage and the waiting time of the line, and is obtained by multiplying the cost per mileage by the total mileage plus the cost per waiting time by the total waiting time. And operating for 24h, and accumulating the profits generated by each line in the period to obtain the total profit of one day.
Step S4, inserting the inbound order meeting the matching condition into the route to be started, wherein the specific process comprises the following steps: judging whether the boarding time of the inbound order meets the time requirement of the line to be departed, namely whether the boarding time is in the line running time window of the line to be departed, if so, performing line matching on the inbound order and the line to be departed according to matching conditions, if so, inserting the line, otherwise, arranging other vehicles to serve the inbound order.
The line to be started is matched with the order with the smallest distance increase in the inbound orders meeting the matching conditions corresponding to the line. The specific matching conditions include: 1) Matching the running time window: the vehicle to be placed in the order must reach its boarding point within the time window of the inbound order so that passengers can board on time; 2) Car sharing time optimization matching: in order to prevent the time taken by the inbound passengers to select the carpool from far exceeding the time taken by the inbound passengers not to select the carpool, the embodiment sets a ratio threshold of the two, for example, the threshold may be set to 1.5, that is, the time taken by the inbound passengers to select the carpool cannot exceed 1.5 times of the time taken by the inbound passengers to directly take the car; 3) Matching the number of passengers carried by the vehicle: that is, the number of passengers in a vehicle may not exceed the capacity of the vehicle regardless of how passengers get on or off the vehicle; 4) Matching a receiving strategy: selecting according to different receiving and sending strategies, wherein the receiving and sending strategies can be set according to actual conditions; different pick-up strategies may affect the route generation process of the car pool order, such as whether all departure passengers are required to pick up the passengers in the port before arriving at the destination, or whether the passengers in the port can pick up the car at any time.
At this time, the lines to be departed include both the departure passengers and the arrival passengers, and the lines can be further updated according to the optimization goals, that is, the lines are further optimized through inter-line order exchange and/or intra-line order exchange.
In step S5, when the departure time is reached and there is a car at the airport, the car will depart along the route to be departed, and the route becomes the running route, and if the departure time is reached but there is no car at the airport, the information will be timely notified to the passenger, and the passenger can autonomously select whether to share the car.
Furthermore, when the inbound orders are matched, if a running line exists, the inbound orders are preferentially matched with the running line, so that the waiting time of inbound passengers is reduced, and the car sharing efficiency is improved.
In step S6, for the running route, further optimization can be performed for the non-boarding inbound passengers therein. The static algorithm is changed into a dynamic algorithm, and when the route is optimized, not only the information when the order is received is considered, but also other information brought by the change of the subsequent route in the operation process is combined for dynamic adjustment.
Since the position of these inbound passengers has just been determined taking into account only the route information at the time of their order receipt, but now the real-time route information has changed due to vehicle operation, there may still be a more suitable position for the inbound passengers, and orders that can bring greater revenue to the system, there is still room for optimization between the time points when the initial position and the time of boarding have been found, but the optimization is more limited because the vehicle is already on the road, the result of the optimization cannot violate the relevant constraints of the inbound passengers, nor can the inbound passengers who have been scheduled to miss the vehicle, but merely adjust the scheduled order to different positions between different routes and within the same route.
In this embodiment, a waiting time threshold condition is introduced, and after the route adjustment is performed, if the waiting time of the vehicle in the route is greater than the waiting time threshold, the route adjustment of this time is rejected. That is, if the adjustment caused by the follow-up order information causes a significant increase in the line-related vehicle waiting time (e.g., the time to arrive at the boarding location within the boarding time window for the passenger to board) beyond the waiting time threshold, the adjustment will be rejected; otherwise, the adjustment is accepted, and meanwhile, according to the optimization objective, the profit of the adjusted line needs to be higher than the profit before the adjustment. Similar optimization adjustments to the on-going route will continue until the vehicle has completed all passenger pick-up tasks on the corresponding route, back to the airport, throughout the process.
Fig. 3 is a schematic flow chart of the method for generating a route of a car pool order in this embodiment. With reference to fig. 3, first, order data is read to perform order preprocessing, the order data is divided into departure data and entry data, an initial solution is formed for all departure orders of the departure data, and a line to be departed is generated by intra-line order exchange and/or inter-line order exchange update lines.
And meanwhile, processing the inbound data, firstly judging whether the boarding time of the inbound order meets the time requirement of the line to be started, if not, rejecting the order, otherwise, performing line matching on the inbound order and the running line, inserting the inbound order into the running line if the matching is successful, otherwise, matching the inbound order with the line to be started, inserting the inbound order into the line to be started if the matching is successful, otherwise, arranging a new line, and arranging other vehicles to serve the inbound order.
And performing in-line order exchange and/or inter-line order exchange to update the line for the order to be started according to the optimization target, judging whether the departure time is reached, judging whether available vehicles exist or not if the departure time is reached, operating the line to be started if the available vehicles exist, changing the line to be started into the line which is in operation, and informing the state of passengers if the available vehicles do not exist.
Further, the running line is adjusted according to the real-time information, and whether the line adjusted according to the real-time information meets the relevant constraints is judged, wherein the relevant constraints comprise: and optimizing the target and waiting threshold time conditions, namely adjusting the route under the condition that relevant constraints are met or keeping the route unchanged until the vehicle finishes the pick-up task.
The car pooling order is centralized at one or more order intensive points, order information of different passengers is effectively analyzed based on data, a line which can meet requirements of the passengers simultaneously is generated according to an analysis result, cost and time are saved, dynamic optimization can be carried out along with road conditions, reference is provided for a car pooling algorithm of an order intensive scene, and management departments can manage the key areas conveniently.
Example two:
the present embodiment provides a car pooling order line generating device, as shown in fig. 4, which is a block diagram of the car pooling order line generating device of the present embodiment, and the block diagram includes:
the acquisition module 100: the system comprises a terminal, a server and a server, wherein the terminal is used for acquiring carpooling orders in a first time period, and the carpooling orders comprise departure orders and entry orders;
initial route generation module 200: the system comprises a route generation module, a route selection module and a route selection module, wherein the route generation module is used for generating an initial route according to a departure order and updating the initial route according to an optimization target to generate a route to be departed, and the route to be departed only comprises the departure order;
to-be-sent line generation module 300: the method comprises the steps of inserting a port entering order meeting matching conditions into a route to be started, updating the route to be started, and updating the route to be started according to an optimization target;
running route generation module 400: the method is used for carrying out vehicle operation according to a route to be started when a departure condition is met, the route to be started is changed into an operating route, and the departure condition comprises the following steps: the arrival and departure time and available vehicles;
update line module 500: and the method is used for adjusting the entering orders meeting the waiting time threshold condition and the optimization goal in the running route and updating the running route until the vehicles finish the pick-up task.
The specific details of the car pool order route generation device module in the foregoing embodiment have been described in detail in the car pool order route generation method corresponding to the embodiment, and therefore are not described herein again.
In addition, the invention also provides a carpool order line generating device, which comprises:
at least one processor, and a memory communicatively coupled to the at least one processor;
wherein the processor is configured to perform the method according to embodiment one by calling the computer program stored in the memory. The computer program is a program code for causing a car pool order line generation apparatus to execute the steps in the car pool order line generation method described in the above-mentioned part of the embodiments of this specification, when the program code runs on the car pool order line generation apparatus.
In addition, the present invention also provides a computer-readable storage medium, which stores computer-executable instructions for causing a computer to perform the method according to the first embodiment.
The method comprises the steps of obtaining a car pooling order in a first time period, generating an initial line according to a departure order, updating the initial line according to an optimization target to generate a line to be started, inserting a departure order meeting matching conditions into the line to be started, updating the line to be started, and updating the line to be started according to the optimization target; and when the departure condition is met, the vehicle is operated according to the route to be departed, the route to be departed is changed into the running route, the port entering order meeting the waiting time threshold value condition and the optimization target is inserted into the running route, and the running route is updated until the vehicle finishes the pick-up and delivery task. The carpooling route is generated aiming at the entrance and exit scenes, the service order number of a single carpooling route is improved, the carpooling route is dynamically optimized, dynamic adjustment is carried out according to the change of the subsequent route, the transportation constraint of the existing algorithm to the vehicle is changed into strict constraint, the order distribution rule provided by the carpooling data is fully utilized to effectively dispatch the vehicle, the possibly-appearing demand-intensive area is arranged in advance, and the carpooling efficiency is improved. The method can be widely applied to the field of car pooling algorithms.
The above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same, although the present invention is described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (8)
1. A car pooling order line generation method is characterized by comprising the following steps:
obtaining a carpooling order in a first time period, wherein the carpooling order comprises an exit order and an entry order;
selecting the departure orders with the least added distance one by one to generate initial routes, and updating the initial routes according to an optimization target to generate routes to be departed, wherein the routes to be departed only comprise the departure orders; wherein the optimization objective refers to a profit objective, comprising: generating a new line through an order in the exchange line and/or an order between the exchange lines, calculating the profit of the new line, and selecting the line with the highest profit;
inserting the inbound order meeting the matching condition into the route to be started, updating the route to be started, and updating the route to be started according to the optimization target; wherein the matching condition includes: matching an operation time window, optimally matching carpooling time, matching vehicle passenger number and matching a pick-up strategy;
when the departure condition is met, vehicle operation is carried out according to the route to be departed, the route to be departed is changed into the running route, and the departure condition comprises the following steps: the arrival and departure time and available vehicles;
and adjusting the port entering orders meeting the waiting time threshold condition and the optimization goal in the running route, and updating the running route until the vehicles finish the pick-up task.
2. The method for generating a carpool order route according to claim 1, wherein the inserting the inbound order satisfying a matching condition in the route to be departed comprises:
judging whether the boarding time of the inbound order meets the time requirement of the line to be started or not, if so, performing line matching on the inbound order and the line to be started according to the matching condition, if so, inserting the line, and otherwise, forming a new line to arrange other vehicles to serve the inbound order;
the matching conditions include: the method comprises the following steps of running time window matching, car sharing time optimization matching, vehicle passenger number matching and receiving and sending strategy matching.
3. The method according to claim 2, wherein when the running route exists, the inbound order is preferentially matched with the running route.
4. The method according to claim 1, wherein the step of obtaining the car pool order in the first time period further comprises performing order preprocessing to expand the getting-on time in the car pool order to a getting-on time window.
5. A car pool order line generation method according to any one of claims 1 to 4, wherein said waiting time threshold condition comprises: and after the line adjustment is carried out, if the waiting time of the vehicles in the line is greater than the waiting time threshold value, rejecting the line adjustment.
6. A carpool order line generation apparatus, comprising:
an acquisition module: the taxi sharing method comprises the steps of obtaining taxi sharing orders in a first time period, wherein the taxi sharing orders comprise departure orders and entrance orders;
an initial line generation module: the system comprises a route generation module, a route selection module and a route selection module, wherein the route generation module is used for generating an initial route by selecting the departure order with the least added route one by one and updating the initial route according to an optimization target to generate a route to be departed, and the route to be departed only comprises the departure order; wherein the optimization objective refers to a profit objective, comprising: generating a new line through an order in the exchange line and/or an order between the exchange lines, calculating the profit of the new line, and selecting the line with the highest profit;
a to-be-sent line generation module: the system is used for inserting the inbound order meeting the matching condition into the route to be started, updating the route to be started and updating the route to be started according to the optimization target; wherein the matching condition includes: matching an operation time window, optimally matching carpooling time, matching vehicle passenger number and matching a receiving and sending strategy;
the running route generation module: the departure condition comprises that: available vehicles when arriving at departure time;
updating the line module: and the method is used for adjusting the port entering orders meeting the waiting time threshold condition and the optimization goal in the running route and updating the running route until the vehicles finish the pick-up task.
7. A carpool order line generation apparatus, comprising:
at least one processor; and a memory communicatively coupled to the at least one processor;
wherein the processor is adapted to perform the method of any one of claims 1 to 5 by invoking a computer program stored in the memory.
8. A computer-readable storage medium having computer-executable instructions stored thereon for causing a computer to perform the method of any one of claims 1 to 5.
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