CN112580909A - Dynamic regular bus arrangement method, computer readable storage medium and terminal - Google Patents
Dynamic regular bus arrangement method, computer readable storage medium and terminal Download PDFInfo
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Abstract
The invention provides a dynamic regular bus arrangement method, a computer readable storage medium and a terminal, which dynamically adjust the regular bus scheduling condition by combining staff accommodation areas, lines and staff on-off time through a neural network algorithm on the basis of daily regular bus scheduling. On the basis of daily shift scheduling of regular buses, the employee accommodation area and the employee accommodation area are integrated through a historical big data and deep machine learning algorithm, and the shift scheduling is dynamically adjusted through acquiring the time of the employee for getting on and off the duty through an employee overtime reporting system, wherein the dynamic scheduling of the employee for getting on and off the shift is realized by managing and controlling the route, the number of buses, the departure time, the type of vehicles and the like; and more comprehensive and reasonable vehicle arrangement is realized.
Description
Technical Field
The invention relates to a regular bus scheduling method, in particular to a dynamic regular bus scheduling method, a computer readable storage medium and a terminal.
Background
The regular bus is taken as the welfare support of the company, particularly the large company, for the staff, and brings much convenience for the work of the staff. At present, regular bus systems generally execute fixed scheduling according to initial employee investigation conditions, due to the fact that companies are continuously strong, the number of employees is increased, the situations that seats of buses in the old regular bus scheduling systems are insufficient and needed for a long time can occur, meanwhile, part of regular buses are empty or the number of the employees is few, and in order to better utilize resources of the regular buses, the regular bus systems for dynamic regular bus scheduling need to be realized according to actual conditions of the employees on and off duty.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a dynamic regular bus arrangement method, which carries out regular bus scheduling by comprehensively analyzing the region to which the staff belongs and the time of getting on and off the duty, realizes more comprehensive and reasonable vehicle arrangement and timely informs related staff, thereby being beneficial to more reasonably arranging the time of getting on and off the duty for the staff according to the work demand.
In order to achieve the purpose, the invention adopts the following technical scheme:
a dynamic shift arrangement method is characterized in that on the basis of daily shift arrangement, shift arrangement conditions are dynamically adjusted by combining staff accommodation areas, lines and staff on-off time through a neural network algorithm. On the basis of daily shift scheduling, through historical big data and a deep machine learning algorithm, staff accommodation areas and routes are integrated, and staff on-duty and off-duty time is obtained through a staff overtime declaration system to dynamically adjust the shift, wherein the dynamic scheduling of the staff on-duty and off-duty is realized by managing and controlling the routes, the train number, the departure time, the vehicle types and the like; and more comprehensive and reasonable vehicle arrangement is realized.
Further, the combination of the employee accommodation area and the route through the neural network algorithm specifically includes: the system receives the manually input residential address information, obtains route information through automatic analysis of the address information, and counts the total number of people on the route. Through obtaining address information automatic analysis route, can deal with the staff of each regional distribution, realize better pick-up to can add the number of shifts or reduce the number of shifts according to the condition of number of people, realize more reasonable more scientific's regular bus arrangement.
Further, the combination of the work attendance time of the staff through the neural network algorithm specifically comprises: the system is connected with the overtime system through signals, and the overtime condition of the staff application is obtained through the overtime system, wherein the overtime condition comprises overtime starting time information and overtime ending time information. A large part of employees have variable off-duty time, and the regular bus can be arranged as accurately as possible by combining the overtime condition, so that the condition that the employees miss the regular bus due to overtime is avoided, and the happiness of the employees is improved.
Furthermore, the overtime ending time is delayed for a period of time to be used as the input of system information, the system counts the number of staff in the time information, and when the number of staff exceeds the number of vehicles, an instruction for increasing the arrangement of one overtime bus is sent. When the number of people exceeds the vehicle-mounted number, the office workers can be arranged, and the office workers can be quickly and effectively sent to go home, so that the purpose of reasonably arranging the office workers is achieved.
Further, the dynamic adjustment of the shift scheduling condition of the regular bus specifically comprises: and setting a multi-point getting-on/off mode, and setting a plurality of points for getting-on/off according to a division type receiving mode for different residence places, namely, under the condition that the residence place route is relatively long. The plurality of getting-on and getting-off places are arranged, so that the staff can get on and get off the bus at different positions of the same route without increasing more routes, the modes of the plurality of getting-on and getting-off places aim at long routes, and a plurality of getting-on and getting-off places are not required to be arranged on relatively short routes, so that the efficiency of the regular bus is embodied.
Further, the dynamic adjustment of the shift scheduling condition of the regular bus specifically comprises: acquiring the application off-duty time of the staff in real time, classifying and counting according to the route of the regular bus, and counting in different time periods according to half an hour; when the number of people reaches the minimum limit, the regular bus is arranged. Accurate information is obtained through real-time monitoring, the regular bus is effectively and accurately arranged according to the information, reasonable scheduling of the regular bus is achieved, and the existing resources of the regular bus are fully utilized.
Further, the dynamic adjustment of the shift scheduling condition of the regular bus specifically comprises: when the system judges that the number of people going to work is small in a certain time, the system broadcasts messages in time or displays or sends messages to the mobile device through the webpage end to inform employees that no regular bus is arranged in the time, and the employees can adjust the time going to work or arrange transportation vehicles by themselves. The staff is informed of the regular bus information in time, so that the staff can be prevented from missing the regular bus, the staff can also arrange the waiting time of the staff according to the regular bus information, the blind waiting condition is avoided, and meanwhile, the working efficiency can be improved.
Furthermore, the system carries out comprehensive data analysis according to the departure condition of a certain time, the working time of staff and regional distribution, and reasonably adjusts lines and vehicle scheduling and scheduling. The comprehensive data analysis can be carried out to obtain the defects and the advantages of the current shift scheduling of the regular bus, the defects are optimized, the advantages are expanded continuously, the requirements in different periods can be met only through continuous optimization, and the reasonable shift scheduling of the regular bus can be realized.
A computer readable storage medium storing a computer program which when invoked by a processor implements the dynamic shift scheduling method of any preceding claim.
A terminal comprising a processor and a memory for storing a computer program which when invoked by the processor implements a method of dynamic airliner scheduling as described in any one of the preceding claims.
The dynamic regular bus arrangement method, the computer readable storage medium and the terminal provided by the invention have the beneficial effects that: on the basis of personnel investigation and duty scheduling criteria of the regular bus in the earlier stage, the regular bus is scheduled by comprehensively analyzing the area to which the staff belong and the time of going to and from the duty, so that more comprehensive and reasonable vehicle arrangement is realized and related staff are informed in time, and the staff can be favorably arranged to the time of going to and from the duty more reasonably according to working requirements. Under the conditions of limited number of vehicles and fixed type of vehicles, the dynamic scheduling method integrates the number of passengers, route distance and off-duty time period factors with more concentrated staffs, and the dynamic scheduling avoids the condition of overlong waiting time.
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FIG. 1 is a dynamic dispatching diagram of the regular bus of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments obtained by a person skilled in the art without making any inventive step are within the scope of the present invention.
Example 1: a dynamic regular bus arrangement method.
A dynamic regular bus arrangement method comprises the following specific steps:
(1) the employee registers the residential cell address through the web terminal and the mobile terminal;
(2) the regular bus dispatching system arranges a basic regular bus departure schedule according to the total number of people near a plurality of districts on a main route, the route bus distance, the number of load people of the regular buses and intensive on-off time periods. And carrying out a divided type inoculation mode for different residence places. Just under the condition that the residential area battle line is longer, a multi-point alighting method is adopted for scheduling;
(3) a large part of employees have indefinite off-duty time, especially overtime in production busy seasons, and most employees can report overtime application in the overtime system, including overtime start and end time. The accuracy of the overtime application time is 15 minutes, if the number of people who arrive late or end in advance at the overtime application time exceeds the minimum number of people who send the vehicle, an alternative scheme is started, and one-time arrangement of regular buses is added;
(4) the regular bus scheduling system starts at 6 pm every day, acquires the application off-duty time of the staff in real time, performs classification statistics according to the regular bus route, and performs time-interval statistics according to half an hour. When the number of people reaches the minimum limit, the regular bus is arranged. When the number of people leaving work within a certain time is judged to be less, the staff is informed by timely broadcasting messages, and can adjust the time leaving work or arrange transportation means by oneself. In order to achieve timely notification of the message, the message is presented at a web end in real time or is sent to a mobile phone of an employee through the message, and the employee acquires the latest scheduling information of the route regular bus according to route inquiry;
(5) in addition, the system carries out comprehensive data analysis according to the departure condition, the staff off-duty time and the regional distribution in a certain time, and reasonably adjusts lines and vehicle scheduling, so that the waiting time is shortened, and the condition that the staff has no vehicles can be avoided.
Example 2: a computer readable storage medium.
A computer-readable storage medium storing a computer program that, when invoked by a processor, implements the dynamic airliner scheduling method of embodiment 1.
Example 3: a terminal is provided.
A terminal comprising a processor and a memory, said memory for storing a computer program that, when invoked by said processor, implements the dynamic airliner scheduling method of embodiment 1.
The above description is only for the preferred embodiment of the present invention, but the present invention should not be limited to the embodiment and the disclosure of the drawings, and therefore, all equivalent or modifications that do not depart from the spirit of the present invention are intended to fall within the scope of the present invention.
Claims (10)
1. A dynamic regular bus arrangement method is characterized in that on the basis of daily regular bus arrangement, the regular bus arrangement condition is dynamically adjusted by combining staff accommodation areas, lines and staff on-off time through a neural network algorithm.
2. The dynamic regular bus arrangement method of claim 1, wherein: the combination of the neural network algorithm with the employee accommodation area and the route specifically comprises the following steps: the system receives the manually input residential address information, obtains route information through automatic analysis of the address information, and counts the total number of people on the route.
3. The dynamic regular bus arrangement method of claim 1, wherein: the combination of the working hours of the staff through the neural network algorithm specifically comprises the following steps: the system is connected with the overtime system through signals, and the overtime condition of the staff application is obtained through the overtime system, wherein the overtime condition comprises overtime starting time information and overtime ending time information.
4. The dynamic regular bus arrangement method of claim 3, wherein: and the overtime ending time is delayed for a period of time to be used as the input of system information, the system counts the number of the staff members of the time information, and when the number of the staff members exceeds the number of the vehicle, an instruction for increasing the arrangement of one overtime bus is sent.
5. The dynamic regular bus arrangement method of claim 1, wherein: the dynamic adjustment of the scheduling condition of the regular bus specifically comprises the following steps: and setting a multi-point getting-on/off mode, and setting a plurality of points for getting-on/off according to a division type receiving mode for different residence places, namely, under the condition that the residence place route is relatively long.
6. The dynamic regular bus arrangement method of claim 1, wherein: the dynamic adjustment of the scheduling condition of the regular bus specifically comprises the following steps: acquiring the application off-duty time of the staff in real time, classifying and counting according to the route of the regular bus, and counting in different time periods according to half an hour; when the number of people reaches the minimum limit, the regular bus is arranged.
7. The dynamic regular bus arrangement method of claim 1, wherein: the dynamic adjustment of the scheduling condition of the regular bus specifically comprises the following steps: when the system judges that the number of people going to work is small in a certain time, the system broadcasts messages in time or displays or sends messages to the mobile device through the webpage end to inform employees that no regular bus is arranged in the time, and the employees can adjust the time going to work or arrange transportation vehicles by themselves.
8. The dynamic regular bus arrangement method of claim 1, wherein: the system carries out comprehensive data analysis according to the departure condition of a certain time, the working time of staff and regional distribution, and reasonably adjusts lines and vehicle scheduling and scheduling.
9. A computer-readable storage medium storing a computer program, characterized in that: the computer program when invoked by a processor implements the dynamic shift scheduling method of any one of claims 1 to 8.
10. A terminal comprising a processor and a memory, the memory for storing a computer program, characterized in that: the computer program when invoked by the processor implements the method of dynamic shift scheduling of any of claims 1 to 8.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910929954.3A CN112580909A (en) | 2019-09-29 | 2019-09-29 | Dynamic regular bus arrangement method, computer readable storage medium and terminal |
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| CN201910929954.3A CN112580909A (en) | 2019-09-29 | 2019-09-29 | Dynamic regular bus arrangement method, computer readable storage medium and terminal |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113327046A (en) * | 2021-06-16 | 2021-08-31 | 上海电科智能***股份有限公司 | Rail transit station scheduling and post-arranging system and method based on Bluetooth positioning |
| CN115034522A (en) * | 2022-08-10 | 2022-09-09 | 深圳市四格互联信息技术有限公司 | Dynamic dispatching method for commuting regular bus based on employee off-duty time and off-duty station |
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- 2019-09-29 CN CN201910929954.3A patent/CN112580909A/en active Pending
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| CN113327046A (en) * | 2021-06-16 | 2021-08-31 | 上海电科智能***股份有限公司 | Rail transit station scheduling and post-arranging system and method based on Bluetooth positioning |
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