CN116433144B - Route planning method for logistics transportation based on multi-mode intermodal transportation - Google Patents
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Abstract
The invention relates to the field of route planning, and discloses a route planning method of logistics transportation based on multi-mode intermodal transportation, which comprises the following steps: step 1: establishing a fixed database, acquiring transportation route data, extracting starting points and terminal parameters, acquiring transportation carrier data, analyzing available carriers on the current route, carrier transportation speed and carrier transportation cost, taking the available carriers, the carrier transportation speed and the carrier transportation cost as quantitative values, calling city pairing service, acquiring city information, calling adjacent city acquisition service, acquiring adjacent cities meeting the conditions through an adjacent city scoring algorithm, and temporarily storing; through increasing in the course of making the route, the interference factor that influences the transportation that appears probably is analyzed at the multi-angle, provides the analysis to weather data and road conditions data information for the transportation process obtains basic stroke guarantee, is difficult for receiving the interference, avoids causing transportation to expect to become invalid, predicts the interference factor that probably appears in the future.
Description
Technical Field
The invention relates to the technical field of route planning, in particular to a route planning method for logistics transportation based on multi-mode intermodal transportation.
Background
Multi-modal container cargo has now become the mainstay of international cargo transportation. The multi-mode intermodal transportation is adopted by most of international trade goods in developed countries, the proportion of goods transported in the multi-mode intermodal transportation in developing countries is also rapidly increasing, and with the continuous development of container transportation, the transportation of goods in the multi-mode intermodal transportation is a necessary trend in future, which is attributed to the remarkable characteristics of the multi-mode intermodal transportation;
however, the existing route planning method for multi-mode intermodal logistics transportation has certain defects, such as:
1. in the process of making a route, consideration of multiple angle factors is lacking, analysis of possible disturbance factors affecting transportation is lacking, information such as weather conditions is difficult to analyze, so that the transportation process is easy to be disturbed, transportation expectations cannot be reached, and future possible disturbance factors are difficult to predict according to historical disturbance factor data;
2. the method is difficult to avoid the sudden interference event on the established route in advance, and provides optimized measures after analyzing the future travel route, so that the intermodal process of different vehicles is not guaranteed during transportation, is easy to be interfered by the outside, and a user is difficult to accurately know the sudden situation possibly occurring in a query mode.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects existing in the prior art, the invention provides the route planning method for logistics transportation based on multi-mode intermodal, which can effectively solve the problems that in the route planning method in the prior art, in the process of making a route, consideration of multi-angle factors is lacking, possible disturbance factors influencing transportation are lacking in analysis, information such as weather states is difficult to analyze, so that the transportation process is easy to be disturbed, transportation expectations cannot reach, and possible disturbance factors in the future are difficult to predict according to historical disturbance factor data, sudden disturbance events on the given route are difficult to avoid in advance, and optimization measures are provided after analysis of the future travel route are lacking, so that in the transportation process, different vehicles are lacking in guarantee, are easy to be subjected to external disturbance, and users are difficult to accurately know possible sudden conditions in a query way.
(II) technical scheme
In order to achieve the above object, the present invention is realized by the following technical scheme,
the invention discloses a route planning method of logistics transportation based on multi-mode intermodal transportation, which comprises the following steps:
step 1: establishing a fixed database, acquiring transportation route data, extracting starting points and terminal parameters, acquiring transportation carrier data, analyzing available carriers on the current route, carrier transportation speed and carrier transportation cost, taking the available carriers, the carrier transportation speed and the carrier transportation cost as quantitative values, calling city pairing service, acquiring city information, calling adjacent city acquisition service, acquiring adjacent cities meeting the conditions through an adjacent city scoring algorithm, and temporarily storing;
step 2: establishing definition attributes of the arrival speed and the travel cost, providing a plurality of selection schemes, and outputting preview reports of different weight ratios of different areas under a single attribute scheme;
step 3: acquiring weather data and road condition data related to a transportation route, taking the weather data and the road condition data as variable values, extracting historical data, and predicting the same interference factors in future dates according to the historical interference factor data;
step 4: adding corresponding interference factors for each route scheme, analyzing, and uniformly displaying the change values of the original route schemes;
step 5: based on the change value, updating the route schemes one by one again, selecting a scheme with the minimum comprehensive error from the route schemes, and sending the scheme to the display end as a recommended route scheme;
step 6: during transportation, the sudden interference factors of the road section which is not reached by the set route scheme are collected in real time, and the road section collection section is preset;
step 7: the method comprises the steps of obtaining a burst interference factor, outputting parameters to a simulation model after analysis, and outputting a simulation optimization route again and providing guiding data after the simulation model operates based on an original scheme;
step 8: judging whether to select a simulation optimization route;
step 9: if yes, the simulated optimized route is taken as a set scheme, and the acquisition interval and the guide data are output again;
step 10: if not, keeping running and recording according to the preset setting;
the interference factors in the step 3 include: abnormal vehicle state, abnormal personnel allocation, abnormal weather and abnormal road.
Still further, the selecting manners of the schemes in the step 2 include:
step 21: after classifying the route schemes, acquiring all schemes meeting the conditions in a plurality of schemes;
step 22: calling basic services of all carriers, determining whether each section of travel in the combined scheme is effective, and eliminating an ineffective scheme;
step 23: the effective strokes are then combined in turn into several versions of the final route.
Still further, the previewing report in step 2 includes: different carrier transportation speeds, travel costs and transportation personnel allocation in each area under a given route;
the personnel allocation parameters are used for scanning the existing human resource library, so that personnel meeting the regional requirements and in an allocation-adjustable state are confirmed to participate in allocation.
Further, the historical data in the step 3 is used for predicting the travel time according to the number of the historical data, and the calculation formula is as follows:
；
in the method, in the process of the invention,representing a predicted time value;
representing the amount of history data.
Still further, the updating strategy of the route scheme in the step 5 includes:
step 51: after the original scheme is duplicated by the mirror image, the original scheme is temporarily stored as a scheme to be updated;
step 52: acquiring a scheme to be updated, analyzing a change value, and marking a change position related to the scheme to be updated;
step 53: after converting the change value into the adaptation format, adding corresponding change positions;
step 54: and finishing adding and finishing updating.
Still further, the predetermined setting in step 6 is that the distances related to different vehicles are divided based on the comprehensive distance of the route, and the dividing is performed according to the route distance of the single vehicle, and the dividing includes: the manual custom partitions and programs are scaled according to a default range of 10 km.
Furthermore, the acquiring of the guiding data in the step 7 is performed by calling the travel parameters of the established route scheme and the simulated optimization scheme in the step 6, comparing the travel parameters, outputting the difference value, sending the difference value to the manual end for analysis, acquiring the guiding report, and extracting the guiding data for outputting to the scheme.
Further, in the step 7, the process of acquiring the bursty interference factor and actively inquiring by the user includes:
step 71: when a user inquires, the data assembly service acquires the service by calling an offline scheme;
step 72: after the established scheme is acquired, the transport end data is called to inquire the service, and the service state of each available carrier is called;
step 73: acquiring online inventory information of each travel, and then sequencing the schemes by calling a scheme sequencing algorithm;
step 74: the data are assembled into different travel schemes by aggregation and returned to the analysis end for processing, and the analysis end displays a scheme list for the user after processing;
step 75: the interference parameters are obtained and the variation parameters are marked in the scheme.
Further, the ranking algorithm in step 73 is implemented in a single scheme and is dynamically configurable to select as the impact factor the key interference factors that affect the ranking scores of the scheme.
Further, after the established scheme in the step 9 is confirmed, a multi-mode intermodal trip order interface is created, and when the inquiry is triggered again, the multi-mode intermodal trip order interface provided by the analysis end is called, and the associated data is stored in the database for subsequent inquiry.
(III) beneficial effects
Compared with the prior art, the technical proposal provided by the invention has the following beneficial effects,
1. according to the invention, the possible interference factors affecting transportation are analyzed at multiple angles in the process of setting up a route, and the analysis of weather data and road condition data information is provided, so that the transportation process is ensured to obtain basic travel, the transportation is not easy to be interfered, the expected failure of transportation is avoided, the possible interference factors in the future can be predicted according to the historical interference factor data, and further the analysis is performed in the process of planning the route in advance.
2. According to the invention, by adding measures for avoiding the sudden interference event on the established route in advance, and further, the future travel route is analyzed and then optimized, so that the intermodal process of different carriers can effectively avoid external interference during transportation, and guarantee is provided, the external interference is prevented from influencing the whole transportation process, and in the transportation implementation process, a user can accurately know the sudden situation possibly occurring on the established route through a query mode at any time.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is a flow chart of a method for route planning for intermodal based logistics transportation in accordance with the present invention;
FIG. 2 is a flow chart of selected aspects of several aspects of the present invention;
FIG. 3 is a flow chart of an update strategy of the route scheme of the present invention;
fig. 4 is a flow chart of the user active query in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention is further described below with reference to examples.
Example 1:
the route planning method for logistics transportation based on multi-mode intermodal in this embodiment, as shown in fig. 1 and 3, includes the following steps:
step 1: establishing a fixed database, acquiring transportation route data, extracting starting points and terminal parameters, acquiring transportation carrier data, analyzing available carriers on the current route, carrier transportation speed and carrier transportation cost, taking the available carriers, the carrier transportation speed and the carrier transportation cost as quantitative values, calling city pairing service, acquiring city information, calling adjacent city acquisition service, acquiring adjacent cities meeting the conditions through an adjacent city scoring algorithm, and temporarily storing;
step 2: establishing definition attributes of the arrival speed and the travel cost, providing a plurality of selection schemes, and outputting preview reports of different weight ratios of different areas under a single attribute scheme;
step 3: acquiring weather data and road condition data related to a transportation route, taking the weather data and the road condition data as variable values, extracting historical data, and predicting the same interference factors in future dates according to the historical interference factor data;
step 4: adding corresponding interference factors for each route scheme, analyzing, and uniformly displaying the change values of the original route schemes;
step 5: based on the change value, updating the route schemes one by one again, selecting a scheme with the minimum comprehensive error from the route schemes, and sending the scheme to the display end as a recommended route scheme;
step 6: during transportation, the sudden interference factors of the road section which is not reached by the set route scheme are collected in real time, and the road section collection section is preset;
step 7: the method comprises the steps of obtaining a burst interference factor, outputting parameters to a simulation model after analysis, and outputting a simulation optimization route again and providing guiding data after the simulation model operates based on an original scheme;
step 8: judging whether to select a simulation optimization route;
step 9: if yes, the simulated optimized route is taken as a set scheme, and the acquisition interval and the guide data are output again;
step 10: if not, keeping running and recording according to the preset setting;
the interference factors in the step 3 include: abnormal vehicle state, abnormal personnel allocation, abnormal weather and abnormal road.
The preview report in step 2 includes the following factors: different carrier transportation speeds, travel costs and transportation personnel allocation in each area under a given route;
the personnel allocation parameters are used for scanning the existing human resource library, so that personnel meeting the regional requirements and in an allocation-adjustable state are confirmed to participate in allocation.
And (3) predicting travel time according to the historical data in the step (3), wherein a calculation formula is as follows:
；
in the method, in the process of the invention,representing a predicted time value;
number representing historical dataAmount of the components.
As shown in fig. 3, the updating strategy of the route scheme in the step 5 includes:
step 51: after the original scheme is duplicated by the mirror image, the original scheme is temporarily stored as a scheme to be updated;
step 52: acquiring a scheme to be updated, analyzing a change value, and marking a change position related to the scheme to be updated;
step 53: after converting the change value into the adaptation format, adding corresponding change positions;
step 54: and finishing adding and finishing updating.
The preset setting in the step 6 is to divide the distances related to different carriers based on the comprehensive distance of the route, and divide the distances according to the route distance of a single carrier, wherein the dividing mode includes: the manual custom partitions and programs are scaled according to a default range of 10 km.
And (3) acquiring the guide data in the step (7), comparing the travel parameters of the established route scheme and the simulated optimization scheme in the step (6), outputting a difference value, sending the difference value to a manual end for analysis, acquiring a guide report, and extracting the guide data and outputting the guide data to the scheme.
In the specific implementation, in the process of route preparation, the possible interference factors affecting transportation are analyzed at multiple angles, and analysis on weather data and road condition data information is provided, so that the transportation process is ensured to obtain basic travel, the expected failure of transportation is avoided, the possible interference factors in the future can be predicted according to the historical interference factor data, and further the analysis is performed in the process of route planning in advance.
Example 2:
the present embodiment further provides a manner of selecting a plurality of schemes, as shown in fig. 2, where the manner of selecting a plurality of schemes in step 2 includes:
step 21: after classifying the route schemes, acquiring all schemes meeting the conditions in a plurality of schemes;
step 22: calling basic services of all carriers, determining whether each section of travel in the combined scheme is effective, and eliminating an ineffective scheme;
step 23: the effective strokes are then combined in turn into several versions of the final route.
In the implementation process, after a user selects a corresponding trip mode and an optimal scheme, the user enters a scheme display page, the scheme display page firstly displays relevant carrier information of the optimal scheme for the user, wherein the information comprises the information of a train number, a flight number, a departure arrival place, a departure arrival time, a whole time consuming process, a whole time required time and the like, if the optimal scheme cannot meet the user requirement, the user can also independently select other train numbers, flights and the like by replacing carriers and the like, in addition, if the optimal scheme meets the user's reservation requirement, the user reservation page is entered after clicking to fill in the user reservation information, the filling of the user order information mainly depends on reservation services originally provided by the carriers, and the basic service provided by the reservation end of the carriers is mainly called for realizing the reservation from filling of the order information to successful payment to ticketing.
Example 3:
in this embodiment, as shown in fig. 4, in step 7, the acquisition of the bursty interference factor is actively queried by the user, and the query process includes:
step 71: when a user inquires, the data assembly service acquires the service by calling an offline scheme;
step 72: after the established scheme is acquired, the transport end data is called to inquire the service, and the service state of each available carrier is called;
step 73: acquiring online inventory information of each travel, and then sequencing the schemes by calling a scheme sequencing algorithm;
step 74: the data are assembled into different travel schemes by aggregation and returned to the analysis end for processing, and the analysis end displays a scheme list for the user after processing;
step 75: the interference parameters are obtained and the variation parameters are marked in the scheme.
The ranking algorithm in step 73 is implemented in a single scheme and is dynamically configurable to select as the impact factor the key interference factors that affect the ranking scores of the scheme.
After confirming the established scheme in the step 9, creating a multi-mode intermodal trip order interface, and when the inquiry is triggered again, calling the multi-mode intermodal trip order interface provided by the analysis end, and storing the associated data into a database for subsequent inquiry;
in the practical application process, in order to ensure the reliability of the multi-mode intermodal logistics collaborative distribution data, the lower limit value of the elastic space needs to be set, so that the data has stronger adaptability by setting an elastic space model, and isolated noise points can be accurately identified.
Through the arrangement, through the measures of avoiding the sudden interference event on the established route in advance, the future travel route is further analyzed and then optimized, so that the process of intermodal of different carriers can effectively avoid external interference during transportation, guarantee is provided, the influence of external interference on the whole transportation process is avoided, and in the transportation implementation process, a user can accurately know the sudden situation possibly occurring on the established route through the query mode at any time.
In summary, in the course of route preparation, the possible interference factors affecting transportation are analyzed at multiple angles, and analysis of weather data and road condition data information is provided, so that the transportation process is ensured to obtain basic travel, the transportation is not easily interfered, the expected failure of transportation is avoided, the possible interference factors in the future can be predicted according to the historical interference factor data, and further the analysis is performed in the course of route planning in advance;
in the process of selecting the scheme, after a user selects a corresponding travel mode and an optimal scheme, the user enters a scheme display page, the scheme display page firstly displays relevant carrier information of the optimal scheme for the user, wherein the relevant carrier information comprises information such as a train number, a flight number, a departure arrival place, a departure arrival time, a whole time consuming process, a whole time needing process and the like;
through the measure of avoiding the unexpected interference incident on the established route in advance, and then provide the optimization after carrying out the analysis to the future route of marcing, thereby make during transportation, the process of different carriers intermodal can effectively avoid external interference, provide the guarantee, avoid external interference to influence whole transportation process, in the in-process of transportation implementation, the user can be at any time through the mode of inquiry, the unexpected situation that probably appears on the established route of accurate knowing.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; while the invention has been described in detail with reference to the foregoing embodiments, it will be appreciated by those skilled in the art that variations may be made in the techniques described in the foregoing embodiments, or equivalents may be substituted for elements thereof; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The route planning method for logistics transportation based on multi-mode intermodal transportation is characterized by comprising the following steps of:
step 1: establishing a fixed database, acquiring transportation route data, extracting starting points and terminal parameters, acquiring transportation carrier data, analyzing available carriers on the current route, carrier transportation speed and carrier transportation cost, taking the available carriers, the carrier transportation speed and the carrier transportation cost as quantitative values, calling city pairing service, acquiring city information, calling adjacent city acquisition service, acquiring adjacent cities meeting the conditions through an adjacent city scoring algorithm, and temporarily storing;
step 2: defining an arrival speed attribute and a travel cost attribute, providing a plurality of selection schemes, and outputting preview reports of different weight ratios of different areas under a single attribute scheme;
step 3: acquiring weather data and road condition data related to a transportation route, taking the weather data and the road condition data as variable values, extracting historical data, and predicting the same interference factors in future dates according to the historical interference factor data;
step 4: adding corresponding interference factors for each route scheme, analyzing, and uniformly displaying the change values of the original route schemes;
step 5: based on the change value, updating the route schemes one by one again, selecting a scheme with the minimum comprehensive error from the route schemes, and sending the scheme to the display end as a recommended route scheme;
step 6: during transportation, the sudden interference factors of the road section which is not reached by the set route scheme are collected in real time, and the road section collection section is preset;
step 7: the method comprises the steps of obtaining a burst interference factor, outputting parameters to a simulation model after analysis, and outputting a simulation optimization route again and providing guiding data after the simulation model operates based on an original scheme;
step 8: judging whether to select a simulation optimization route;
step 9: if yes, the simulated optimized route is taken as a set scheme, and the acquisition interval and the guide data are output again;
step 10: if not, keeping running and recording according to the preset setting;
the interference factors in the step 3 include: abnormal vehicle state, abnormal personnel allocation, abnormal weather and abnormal road.
2. The method for route planning for intermodal-based logistics transportation according to claim 1, wherein the selecting of the plurality of schemes in step 2 comprises:
step 21: after classifying the route schemes, acquiring all schemes meeting the conditions in a plurality of schemes;
step 22: calling basic services of all carriers, determining whether each section of travel in the combined scheme is effective, and eliminating an ineffective scheme;
step 23: the effective strokes are then combined in turn into several versions of the final route.
3. The method for route planning for intermodal-based logistics transportation of claim 1, wherein the preview reporting of the related factors in step 2 comprises: different carrier transportation speeds, travel costs and transportation personnel allocation in each area under a given route;
the personnel allocation parameters are used for scanning the existing human resource library, so that personnel meeting the regional requirements and in an allocation-adjustable state are confirmed to participate in allocation.
4. The route planning method of multi-modal logistics transportation according to claim 1, wherein the historical data in the step 3 is used for predicting the travel time according to the number of the historical data, and the calculation formula is as follows:
；
in the method, in the process of the invention,representing a predicted time value;
representing the amount of history data.
5. The route planning method of multi-modal based logistics transportation of claim 1, wherein the updating strategy of the route plan in step 5 comprises:
step 51: after the original scheme is duplicated by the mirror image, the original scheme is temporarily stored as a scheme to be updated;
step 52: acquiring a scheme to be updated, analyzing a change value, and marking a change position related to the scheme to be updated;
step 53: after converting the change value into the adaptation format, adding corresponding change positions;
step 54: and finishing adding and finishing updating.
6. The method for planning a route for transportation by logistics based on multi-modal transportation according to claim 1, wherein the predetermined arrangement in step 6 is to divide the distances related to different vehicles based on the comprehensive distance of the route, and the dividing is performed according to the route distance of a single vehicle, and the dividing method includes: the manual custom partitions and programs are partitioned according to a default range, which is 10 km.
7. The route planning method of logistics transportation based on multi-joint transportation according to claim 1, wherein the obtaining of the guiding data in the step 7 is performed by retrieving the travel parameters of the established route plan and the simulated optimization plan in the step 6, comparing the travel parameters, outputting the difference value, sending the difference value to a manual end for analysis, obtaining the guiding report, extracting the guiding data and outputting the guiding data to the plan.
8. The method for planning the route of the transportation by the multi-link transportation according to claim 1, wherein in the step 7, the acquisition of the bursty interference factor is actively inquired by the user, and the inquiry process comprises the following steps:
step 71: when a user inquires, the data assembly service acquires the service by calling an offline scheme;
step 72: after the established scheme is acquired, the transport end data is called to inquire the service, and the service state of each available carrier is called;
step 73: acquiring online inventory information of each travel, and then sequencing the schemes by calling a scheme sequencing algorithm;
step 74: the data are assembled into different travel schemes by aggregation and returned to the analysis end for processing, and the analysis end displays a scheme list for the user after processing;
step 75: the interference parameters are obtained and the variation parameters are marked in the scheme.
9. The method for route planning for intermodal-based logistics transportation of claim 8, wherein the ranking algorithm of step 73 is implemented in a single scenario and is dynamically configurable to select as the impact factor the key interference factors affecting the scenario ranking scores.
10. The method for planning a route for logistics transportation based on multi-modal transportation according to claim 1, wherein after the confirmation of the predetermined scheme in step 9, a multi-modal transportation travel order interface is created, and when the query is triggered again, the multi-modal transportation travel order interface provided by the analysis end is called and the associated data is stored in the database for subsequent query.
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