CN107679646A - A kind of optimal transit route intelligent optimization method of benefit - Google Patents
A kind of optimal transit route intelligent optimization method of benefit Download PDFInfo
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- CN107679646A CN107679646A CN201710784936.1A CN201710784936A CN107679646A CN 107679646 A CN107679646 A CN 107679646A CN 201710784936 A CN201710784936 A CN 201710784936A CN 107679646 A CN107679646 A CN 107679646A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
Abstract
The invention discloses the transit route intelligent optimization method that a kind of benefit is optimal, including vehicle and location application server, include on the location application server：Information acquisition module, intelligent path analysis module, expense computing module, Intelligent Information Analysis module, display module, memory module, the vehicle transmits data with location application server by way of wireless connection, the optimal transit route intelligent optimization method of this kind of benefit, delivery situation that can be to transport vehicle is analyzed, origin and destination in waybill in platform waybill pond and carry unloading time and pass through intelligent path analysis module, expense computing module and Intelligent Information Analysis module are further analyzed to route, so as to draw expense situation and situation of Profit that each route is spent, route corresponding to selection as needed.
Description
Technical field
The present invention relates to logistics transportation field, and in particular to a kind of optimal transit route intelligent optimization method of benefit.
Background technology：
The development of net purchase promotes the development of logistic industry, because daily order volume is all very huge, and all the time
Being likely to new order needs to dispense, and the delivery position of each order is also different, and this just needs dispatching person to need to run
Order is assembled to many places, but because quantity on order is a lot, therefore route also has a lot, and in this many route
How to find out a route all orders can either all be connect away to and can enough makes last spent cost minimum, this complicated
Distribution may can not also complete therefore to need a kind of brand-new can be allocated numerous routes while can also for people
The intelligent line optimization method of computational costs.
Such as Chinese Patent Application No.：201510862281.6 disclose a kind of route optimization based on cluster and saving algrithm
Recommendation method, according to the workflow and work characteristics of tobacco business customer manager, the client that customer manager is responsible for utilizes
K-means clustering algorithms are divided into different regions, the client for recommending to visit in advance according to different regions so that customer manager is every
It visit workload is in a basic balance, and for the client visited in advance, a plurality of saving road is built on the basis of saving algrithm is improved
Footpath, this mulitpath is then connected into a paths according to the nearest principle of end-point distances, and using wireless terminal at any time
The optimal visit path of reception everywhere, efficiency improve, and flexibly, practicality is stronger, but this kind of method simply have selected Yi Tiaodao
Road, each point is connected, most economical, the scheme offer selection of most timesaving road is not provided, and can not be to thing
Stream information is analyzed.
Chinese Patent Application No.：201410756269.2 a kind of vehicle-mounted anti-traffic congestion interaction route optimization method and it is
System, this method include detecting the evaluation of the operating range or car owner of vehicle in individual pulse to road, and according to detection
As a result generation traffic congestion information or evaluation information are decided whether；Send the traffic congestion information or evaluation information of generation to location application clothes
Business device；Real-time statistics and one statistical result of generation are carried out to traffic congestion information or evaluation information in same section, and according to system
Count result and formulate new navigation way or reservation original navigation way；By the statistical result in same section, new navigation way and
Former navigation way is handed down to the vehicle that will drive towards the section, is voluntarily selected for car owner；The present invention also provides a kind of corresponding simultaneously
The system of methods described.The method have the advantages that：Can real-time reminding will drive into traffic congestion section car owner reselect navigation way,
It is avoided to drive into traffic congestion section；It can be that car owner selects the preferable circuit of pavement behavior, avoid car owner from driving into pavement behavior poor
Section, what this kind of method was tackled is the situation analysis of roadway congestion, it is impossible to which, applied on Order splitting, this kind of method can not be right
The information of order is analyzed so as to draw further allocative decision.
The content of the invention
It is an object of the invention to provide the transit route intelligent optimization method that a kind of benefit is optimal, to solve prior art
In caused above-mentioned multinomial defect.
A kind of optimal transit route intelligent optimization method of benefit, including vehicle and location application server, the position
Include on application server：
Information acquisition module：Waybill in collection vehicle, the main origin, destination, goods for gathering waybill
Species type, put forward unloading time and vehicle waybill carrying capacity situation；
Intelligent path analysis module：The delivery situation of vehicle is obtained from information acquisition module, further according to waybill on vehicle
Origin and destination, from platform waybill pond matching can allow vehicle continue delivery goods, and combine high moral map
Route is planned with Baidu map, avoids repairing the roads, the road that bad road and vehicle can not pass through, selects a plurality of eligible
Route；
Expense computing module：Road conditions in path in intelligent path analysis module are analyzed, according in path
Road conditions calculate toll, cross-bridge-expense, take according to the calculating of the length of mileage is oily, the waybill in information acquisition module calculates
Freight charges, the progress computing of multiple expenses is drawn into last income；
Intelligent Information Analysis module：According to the information of information acquisition module, intelligent path analysis module and computing module point
Used time minimum path, the minimum path of stroke and Income Maximum path is separated out, makes suitable selection as needed；
Display module：For the result of analysis, the cost situation in path and the goods to be delivered for showing optimal path
Situation；
Memory module：For the routing information in storage running circuit, cost information and goods information；
The vehicle transmits data with location application server by way of wireless connection.
Preferably, the Intelligent Information Analysis module always according to the volume of goods, weight and puies forward unloading time information and sentenced
Which disconnected goods is preferentially freighted.
Preferably, the cargo type includes quality, volume and the purposes of goods.
Preferably, the Intelligent Information Analysis module can transfer the data stored in memory module, be done for later analysis
Sample, constantly study and progress, the speed path for accelerating analysis display that corresponding time, stroke and expense.
Preferably, the Intelligent Information Analysis module can transfer storage vehicle delivery situation, according to waybill and vehicle
Type judges whether vehicle is fully loaded with, if the volume of vehicle is also vacant, but vehicle is actual to have been maxed out delivery weight
Amount, then it is assumed that the vehicle is fully loaded with, in order to which security consideration is not recommended to continue to load.
Preferably, the display module also shows the situation of Profit of former route, contrasts, is drawn most with the route after optimization
Which route Income Maximum afterwards.
The advantage of the invention is that：The optimal transit route intelligent optimization method of this kind of benefit, can be to the fortune of transport vehicle
Load situation is analyzed, and origin and destination in waybill in platform waybill pond and is carried unloading time and is passed through intelligence
Path analysis module, expense computing module and Intelligent Information Analysis module are further analyzed to route, each so as to draw
The expense situation and situation of Profit that individual route is spent, route corresponding to selection as needed.
Brief description of the drawings
Fig. 1 is the structural schematic block diagram of the present invention.
Fig. 2 is flow chart of the method for the present invention.
Fig. 3 is the conspectus of the method for the present invention.
Fig. 4 is the expense exemplary plot of the present invention.
Embodiment
To be easy to understand the technical means, the inventive features, the objects and the advantages of the present invention, with reference to
Embodiment, the present invention is expanded on further.
As shown in Figure 1 and Figure 4, the optimal transit route intelligent optimization method of a kind of benefit, including vehicle and location application
Server, include on the location application server：
Information acquisition module：Waybill in collection vehicle, the main origin, destination, goods for gathering waybill
Species type, put forward unloading time and vehicle waybill carrying capacity situation；
Intelligent path analysis module：The delivery situation of vehicle is obtained from information acquisition module, further according to waybill on vehicle
Origin and destination, from platform waybill pond matching can allow vehicle continue delivery goods, and combine high moral map
Route is planned with Baidu map, avoids repairing the roads, the road that bad road and vehicle can not pass through, selects a plurality of eligible
Route；
Expense computing module：Road conditions in path in intelligent path analysis module are analyzed, according in path
Road conditions calculate toll, cross-bridge-expense, take according to the calculating of the length of mileage is oily, the waybill in information acquisition module calculates
Freight charges, the progress computing of multiple expenses is drawn into last income；
Intelligent Information Analysis module：According to the information of information acquisition module, intelligent path analysis module and computing module point
Used time minimum path, the minimum path of stroke and Income Maximum path is separated out, makes suitable selection as needed；
Display module：For the result of analysis, the cost situation in path and the goods to be delivered for showing optimal path
Situation；
Memory module：For the routing information in storage running circuit, cost information and goods information；The vehicle with
Location application server transmits data by way of wireless connection.
It is worth noting that, the Intelligent Information Analysis module is always according to the volume of goods, weight and carries unloading time
Information judges which goods is preferentially freighted, the weight increase oil consumption of the big meeting increase car of weight, therefore behind being arranged in, volume is big
Loading difficulty, it should pay the utmost attention to entrucking.
In the present embodiment, the cargo type includes quality, volume and the purposes of goods, is easy to intelligent path analysis mould
Judgement of the block to information.
In the present embodiment, the Intelligent Information Analysis module can transfer the data stored in memory module, be later
Sample is done in analysis, and constantly study and progress, the speed path for accelerating analysis display that corresponding time, stroke and expense, had
Beneficial to the situation according to other paths so as to making best selection.
In the present embodiment, the Intelligent Information Analysis module can transfer storage vehicle delivery situation, according to waybill
Judge whether vehicle is fully loaded with type of vehicle, if the volume of vehicle is also vacant, but vehicle is actual to be had been maxed out
Launch weight, then it is assumed that the vehicle is fully loaded with, in order to which security consideration is not recommended to continue to load.
In addition, the display module also shows the situation of Profit of former route, contrast, draw last with the route after optimization
Which route Income Maximum.
As shown in Figure 3,4, recommended route freight charges take in 4830 yuan, and former route freight charges take in 3400 yuan, the receipts of recommended route
Benefit is higher and can also more dispense waybill.
Recommended route rule：1st, former waybill is not influenceed and receives ageing, and guarantee is received normal in time；2nd, acknowledgement of consignment vehicle has not
The loading space utilized；3rd, the waybill of variation route can be obviously improved vehicle freight charges income.
Based on above-mentioned, the optimal transit route intelligent optimization method of this kind of benefit, the Intelligent Information Analysis module also root
According to the volume of goods, weight and put forward unloading time information and judge which goods is preferentially freighted, the weight of the big meeting increase car of weight
Amount increase oil consumption, therefore behind being arranged in, the difficulty of bulky loading, it should pay the utmost attention to entrucking, the cargo type includes
Quality, volume and the purposes of goods, it is easy to judgement of the intelligent path analysis module to information, the Intelligent Information Analysis module meeting
The data stored in memory module are transferred, sample is done for later analysis, constantly study and progress, accelerate the speed road of analysis
Footpath displays that corresponding time, stroke and expense, is advantageous to according to the situation in other paths so as to make best selection, described
Intelligent Information Analysis module can transfer storage vehicle delivery situation, judge whether vehicle is full according to waybill and type of vehicle
Carrying, if the volume of vehicle is also vacant, but vehicle is actual to have been maxed out launch weight, then it is assumed that the vehicle is fully loaded with,
In order to which security consideration is not recommended to continue to load.
As known by the technical knowledge, the present invention can pass through the embodiment party of other essence without departing from its spirit or essential feature
Case is realized.Therefore, embodiment disclosed above, for each side, all it is merely illustrative, is not only.Institute
Have within the scope of the present invention or be included in the invention in the change being equal in the scope of the present invention.
Claims (6)
1. a kind of optimal transit route intelligent optimization method of benefit, including vehicle and location application server, it is characterised in that
Include on the location application server：
Information acquisition module：Waybill in collection vehicle, the main origin, destination, goods class for gathering waybill
Type, put forward unloading time and vehicle waybill carrying capacity situation；
Intelligent path analysis module：The delivery situation of vehicle is obtained from information acquisition module, further according to the beginning of waybill on vehicle
Hair ground and destination, matching can allow vehicle to continue the goods of delivery from platform waybill pond, and combine high moral map and hundred
Degree map planned route, is avoided repairing the roads, the road that bad road and vehicle can not pass through, is selected a plurality of qualified road
Line；
Expense computing module：Road conditions in path in intelligent path analysis module are analyzed, the road conditions in path
Toll, cross-bridge-expense are calculated, is taken according to the calculating of the length of mileage is oily, the waybill in information acquisition module calculates fortune
Take, the progress computing of multiple expenses is drawn into last income；
Intelligent Information Analysis module：Gone out according to the information analysis of information acquisition module, intelligent path analysis module and computing module
Used time minimum path, the minimum path of stroke and Income Maximum path, make suitable selection as needed；
Display module：For the result of analysis, the cost situation in path and the description of the goods to be delivered for showing optimal path；
Memory module：For the routing information in storage running circuit, cost information and goods information；
The vehicle transmits data with location application server by way of wireless connection.
A kind of 2. optimal transit route intelligent optimization method of benefit according to claim 1, it is characterised in that：The intelligence
Can information analysis module always according to the volume of goods, weight and put forward unloading time information and judge which goods is preferentially freighted.
A kind of 3. optimal transit route intelligent optimization method of benefit according to claim 1, it is characterised in that：The goods
Species type includes quality, volume and the purposes of goods.
A kind of 4. optimal transit route intelligent optimization method of benefit according to claim 1, it is characterised in that：The intelligence
Energy information analysis module can transfer the data stored in memory module, and sample is done for later analysis, constantly study and progress,
Accelerate the speed of analysis.
A kind of 5. optimal transit route intelligent optimization method of benefit according to claim 1, it is characterised in that：The car
Delivery situation, judge whether vehicle is fully loaded with according to waybill and type of vehicle, if the volume of vehicle is also vacant, but
Being that vehicle is actual has been maxed out launch weight, then it is assumed that the vehicle is fully loaded with, in order to which security consideration is not recommended to continue to load.
A kind of 6. optimal transit route intelligent optimization method of benefit according to claim 1, it is characterised in that：It is described aobvious
Show that module also shows the situation of Profit of former route, contrasted with the route after optimization which last route Income Maximum drawn.
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Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108416559A (en) * | 2018-04-18 | 2018-08-17 | 江苏富力物流科技有限公司 | A kind of shipping platform car owner maximum revenue intelligence share-car matching process |
| CN108515025A (en) * | 2018-03-06 | 2018-09-11 | 中国邮政集团公司广州市分公司 | A kind of intelligent sorting system |
| CN108898334A (en) * | 2018-05-29 | 2018-11-27 | 广州亿程交通信息集团有限公司 | Freight transport reckoning system based on car networking |
| CN109165883A (en) * | 2018-07-03 | 2019-01-08 | 四川驹马科技有限公司 | Based on the vehicle waybill intelligent distribution method and its system that elasticity is integrated |
| CN109816147A (en) * | 2018-12-26 | 2019-05-28 | 深圳市北斗智能科技有限公司 | A kind of airfreight route planning method, apparatus, equipment and storage medium |
| CN109858862A (en) * | 2019-01-30 | 2019-06-07 | 深圳市快金数据技术服务有限公司 | A kind of method, apparatus, equipment and the medium of intelligent recommendation logistics route |
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| CN110175794A (en) * | 2019-04-16 | 2019-08-27 | 德邦物流股份有限公司 | Logistics distribution information data acquisition methods, device and computer readable storage medium |
| CN110334874A (en) * | 2019-07-10 | 2019-10-15 | 云南电网有限责任公司电力科学研究院 | A kind of smart city garbage truck travel route optimization method |
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| CN111144808A (en) * | 2019-12-20 | 2020-05-12 | 贵州黔岸科技有限公司 | Task statistical management system and method for building material transportation |
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| CN111652438A (en) * | 2020-06-04 | 2020-09-11 | 上海燕汐软件信息科技有限公司 | Dynamic optimization method and device for logistics line |
| CN111831773A (en) * | 2020-07-14 | 2020-10-27 | 中励信(厦门)科技有限公司 | Intelligent route planning system for large transportation |
| CN112085359A (en) * | 2020-08-27 | 2020-12-15 | 北京每日优鲜电子商务有限公司 | Information generation method and device, electronic equipment and computer readable medium |
| CN112418749A (en) * | 2020-09-30 | 2021-02-26 | 南京力通达电气技术有限公司 | Comprehensive evaluation method for transportation efficiency of large power equipment |
| CN112561143A (en) * | 2020-12-07 | 2021-03-26 | 支付宝(杭州)信息技术有限公司 | Freight route recommendation method and device, and freight vehicle charging method and device |
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| CN108515025A (en) * | 2018-03-06 | 2018-09-11 | 中国邮政集团公司广州市分公司 | A kind of intelligent sorting system |
| CN108416559B (en) * | 2018-04-18 | 2021-12-17 | 江苏富力物流科技有限公司 | Intelligent carpooling matching method for maximizing vehicle owner income of freight platform |
| CN108416559A (en) * | 2018-04-18 | 2018-08-17 | 江苏富力物流科技有限公司 | A kind of shipping platform car owner maximum revenue intelligence share-car matching process |
| CN108898334A (en) * | 2018-05-29 | 2018-11-27 | 广州亿程交通信息集团有限公司 | Freight transport reckoning system based on car networking |
| CN108898334B (en) * | 2018-05-29 | 2022-03-25 | 广州亿程交通信息集团有限公司 | Transportation settlement system based on Internet of vehicles |
| CN109165883A (en) * | 2018-07-03 | 2019-01-08 | 四川驹马科技有限公司 | Based on the vehicle waybill intelligent distribution method and its system that elasticity is integrated |
| CN109165883B (en) * | 2018-07-03 | 2022-09-27 | 四川驹马科技有限公司 | Intelligent vehicle waybill distribution method and system based on elastic integration |
| CN109816147A (en) * | 2018-12-26 | 2019-05-28 | 深圳市北斗智能科技有限公司 | A kind of airfreight route planning method, apparatus, equipment and storage medium |
| CN109858862A (en) * | 2019-01-30 | 2019-06-07 | 深圳市快金数据技术服务有限公司 | A kind of method, apparatus, equipment and the medium of intelligent recommendation logistics route |
| CN109871991A (en) * | 2019-01-30 | 2019-06-11 | 深圳市快金数据技术服务有限公司 | A kind of recommended method, device, equipment and the medium of logistics route |
| CN110175794A (en) * | 2019-04-16 | 2019-08-27 | 德邦物流股份有限公司 | Logistics distribution information data acquisition methods, device and computer readable storage medium |
| CN110334874A (en) * | 2019-07-10 | 2019-10-15 | 云南电网有限责任公司电力科学研究院 | A kind of smart city garbage truck travel route optimization method |
| CN110610278A (en) * | 2019-09-25 | 2019-12-24 | 亳州职业技术学院 | Intelligent optimization method for transportation route |
| CN110837935A (en) * | 2019-11-12 | 2020-02-25 | 珠海格力电器股份有限公司 | Logistics line optimization method and device and storage medium |
| CN111144808A (en) * | 2019-12-20 | 2020-05-12 | 贵州黔岸科技有限公司 | Task statistical management system and method for building material transportation |
| CN111353759A (en) * | 2020-03-11 | 2020-06-30 | 上海东普信息科技有限公司 | Dynamic calculation method, device, equipment and storage medium for vehicle line transportation cost |
| CN111652438A (en) * | 2020-06-04 | 2020-09-11 | 上海燕汐软件信息科技有限公司 | Dynamic optimization method and device for logistics line |
| CN111652438B (en) * | 2020-06-04 | 2024-04-19 | 上海燕汐软件信息科技有限公司 | Dynamic optimization method and device for logistics line |
| CN111831773A (en) * | 2020-07-14 | 2020-10-27 | 中励信(厦门)科技有限公司 | Intelligent route planning system for large transportation |
| CN112085359A (en) * | 2020-08-27 | 2020-12-15 | 北京每日优鲜电子商务有限公司 | Information generation method and device, electronic equipment and computer readable medium |
| CN112418749B (en) * | 2020-09-30 | 2024-01-05 | 南京力通达电气技术有限公司 | Comprehensive evaluation method for transportation efficiency of large power equipment |
| CN112418749A (en) * | 2020-09-30 | 2021-02-26 | 南京力通达电气技术有限公司 | Comprehensive evaluation method for transportation efficiency of large power equipment |
| CN112561143A (en) * | 2020-12-07 | 2021-03-26 | 支付宝(杭州)信息技术有限公司 | Freight route recommendation method and device, and freight vehicle charging method and device |
| CN112906949A (en) * | 2021-02-02 | 2021-06-04 | 满帮信息咨询有限公司 | Route planning method and device, electronic equipment and readable storage medium |
| CN113095751A (en) * | 2021-03-31 | 2021-07-09 | 牧星机器人(江苏)有限公司 | Multi-supplier carrying supply optimization method, device and system |
| CN113780956A (en) * | 2021-09-18 | 2021-12-10 | 中国平安人寿保险股份有限公司 | Logistics freight generation method, device, equipment and storage medium |
| CN113780956B (en) * | 2021-09-18 | 2024-02-13 | 中国平安人寿保险股份有限公司 | Logistics freight generation method, device, equipment and storage medium |
| CN116432880A (en) * | 2023-03-29 | 2023-07-14 | 深圳市讯鸟流通科技有限公司 | Intelligent selection and freight quotation system for shared cloud warehouse logistics city distribution route |
| CN116432880B (en) * | 2023-03-29 | 2023-10-20 | 深圳市讯鸟流通科技有限公司 | Intelligent selection and freight quotation system for shared cloud warehouse logistics city distribution route |
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