CN107451690A - A kind of intelligent route planning system - Google Patents
A kind of intelligent route planning system Download PDFInfo
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- CN107451690A CN107451690A CN201710633618.5A CN201710633618A CN107451690A CN 107451690 A CN107451690 A CN 107451690A CN 201710633618 A CN201710633618 A CN 201710633618A CN 107451690 A CN107451690 A CN 107451690A
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- 238000007726 management method Methods 0.000 claims abstract description 14
- 238000011156 evaluation Methods 0.000 claims description 62
- 230000000903 blocking effect Effects 0.000 claims description 3
- 206010039203 Road traffic accident Diseases 0.000 claims description 2
- 238000010606 normalization Methods 0.000 claims description 2
- 230000009286 beneficial effect Effects 0.000 abstract description 3
- 238000009472 formulation Methods 0.000 description 4
- 239000000203 mixture Substances 0.000 description 4
- 230000000694 effects Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 1
- 230000001934 delay Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011002 quantification Methods 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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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
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- G06Q50/40—
Abstract
The invention provides a kind of intelligent route planning system, subsystem, route planning subsystem and display device are obtained including congestion-pricing management subsystem, information of vehicles, the congestion-pricing management subsystem is used for the congestion-pricing standard for obtaining section, the information of vehicles obtains the positional information that subsystem is used for collection vehicle, the route planning subsystem plans route that the display device is used for the route for showing planning according to the congestion-pricing standard in section and the positional information of vehicle.Beneficial effects of the present invention are：Route is planned according to the positional information of the congestion-pricing standard in section and vehicle, optimizes urban traffic conditions, improves civic trip experience.
Description
Technical field
The present invention relates to route planning technical field, and in particular to a kind of intelligent route planning system.
Background technology
Traffic congestion is unavoidable problem during urban development, with China's urbanization, motorization, modernize into
Journey quickly propels, and the construction for growing beyond road traffic facility of Urban traffic demand, traffic congestion is increasingly serious, how to have
Effect control and alleviation traffic congestion are extremely urgent.
On the one hand, congestion-pricing measure is using economic lever regulation and control transport need, by adjusting Trip Costs guiding trip
Decision-making so that the external cost of traffic trip obtains the compensation of value, has significantly for alleviating traffic congestion in having put into practice
Effect.On the other hand, how science, which carries out route planning, turns into the important means that traveler avoids congestion.
The content of the invention
A kind of in view of the above-mentioned problems, the present invention is intended to provide intelligent route planning system.
The purpose of the present invention is realized using following technical scheme：
A kind of intelligent route planning system is provided, including congestion-pricing manages subsystem, information of vehicles obtains subsystem,
Route planning subsystem and display device, the congestion-pricing management subsystem are used for the congestion-pricing standard for obtaining section, institute
State information of vehicles and obtain the positional information that subsystem is used for collection vehicle, the route planning subsystem is received according to the congestion in section
Expense standard and the positional information of vehicle plan that route the display device is used for the route for showing planning.
Beneficial effects of the present invention are：Route is advised according to the positional information of the congestion-pricing standard in section and vehicle
Draw, optimize urban traffic conditions, improve civic trip experience.
Brief description of the drawings
Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not form any limit to the present invention
System, for one of ordinary skill in the art, on the premise of not paying creative work, can also be obtained according to the following drawings
Other accompanying drawings.
Fig. 1 is the structural representation of the present invention；
Reference：
Congestion-pricing management subsystem 1, information of vehicles obtain subsystem 2, route planning subsystem 3, display device 4.
Embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, a kind of intelligent route planning system of the present embodiment, including congestion-pricing management subsystem 1, vehicle letter
Breath obtains subsystem 2, route planning subsystem 3 and display device 4, and the congestion-pricing management subsystem 1 is used to obtain section
Congestion-pricing standard, the information of vehicles obtains the positional information that subsystem 2 is used for collection vehicle, the route planning subsystem
System 3 plans route that the display device 4 is used to show according to the congestion-pricing standard in section and the positional information of vehicle
The route of planning.
The present embodiment is planned route according to the congestion-pricing standard in section and the positional information of vehicle, optimizes city
City's traffic, improve civic trip experience.
Preferably, the positional information of the vehicle is the positional information obtained by GPS.
The positional information that this preferred embodiment obtains is more accurate, is favorably improved route planning precision.
Preferably, the display device 4 is high-definition display screen.
The display of this preferred embodiment route becomes apparent from, and improves Consumer's Experience.
Preferably, the congestion-pricing management subsystem 1 includes the first necessity evaluation module, the second feasibility assessment mould
Block, the 3rd congestion Cost Evaluation module and the 4th price determination module, the first necessity evaluation module are used to hand over city
Logical jam situation is evaluated, and the second feasibility assessment module is used to evaluate the feasibility of urban congestion charge,
The 3rd congestion Cost Evaluation module is used to evaluate traffic congestion cost, and the 4th price determination module is used for root
Determine to gather around according to the evaluation of the first necessity evaluation module, the second feasibility assessment module and the 3rd congestion Cost Evaluation module
Stifled expenses standard；The second feasibility assessment module includes an evaluation unit, second evaluation unit and overall merit unit,
Evaluation unit is used to evaluate public transport development, and the second evaluation unit is used to support the common people
Situation is evaluated, and the overall merit unit is used for the evaluation according to an evaluation unit and second evaluation unit to city
The feasibility of city's congestion-pricing is evaluated.
The present embodiment congestion-pricing manages subsystem and the feasibility of jam situation and charge is evaluated, according to evaluation feelings
Condition determines traffic congestion situation and expenses standard, and accurate scientific basis is provided for congestion-pricing.
Preferably, it is described that urban traffic blocking situation is evaluated, be specially：Establish traffic congestion evaluation function：In above-mentioned formula, L1Represent road network flow, L2Represent road network average travel time, L3Table
Show road network average travel, L4Represent road network design speed per hour, S1The congested link mileage of peak period in road network is represented, S is represented
The total kilometrage in all sections in road network, EH represent traffic congestion evaluation of estimate；Traffic congestion evaluation of estimate is bigger, then carries out congestion-pricing
Necessity it is bigger.
This preferred embodiment congestion-pricing management subsystem considers urban transportation situation, and the necessity of congestion-pricing is entered
Accurate objective appraisal is gone, specifically, by establishing traffic congestion evaluation function, at the quantization for realizing traffic congestion situation
Reason, the formulation for follow-up congestion-pricing standard provide Objective support.
It is described that public transport development is evaluated, be specially：Establish public transport evaluation function： In above-mentioned formula, G1Represent the length for the road that every square kilometre of area public bus network passes through, G2
Represent public bus network total length, G3Represent the length of every square kilometre of area public bus network, V1When representing that public transport is averagely run
Speed, β represent public transport punctuality rate, YW1Represent public transport evaluation of estimate；It is described to support situation to evaluate the common people, specifically
For：Establish the common people and support evaluation function：In above-mentioned formula, M1Represent the common people to current
The satisfaction rate of traffic, M2Represent the supporting rate of congestion-pricing, YW2Represent that the common people support evaluation of estimate；It is described that urban congestion is received
The feasibility of expense is evaluated, and is specially：Establish feasibility assessment function：On
State in formula, EM represents feasibility assessment value；Feasibility assessment value is bigger, then the feasibility for carrying out congestion-pricing is bigger.
This preferred embodiment congestion-pricing management subsystem considers common people's wish, and the feasibility of congestion-pricing is carried out
Accurate objective appraisal, specifically, supporting evaluation function by establishing public transport evaluation function and the common people, realize public friendship
Logical development and the common people support the quantification treatment of situation, and the formulation for follow-up congestion-pricing standard provides Objective support.
Preferably, it is described that traffic congestion cost is evaluated, be specially：Establish cost evaluation function：LG=t × (y+
H)+W, in above-mentioned formula, t represents the time delays that traffic congestion is brought, and y represents traveler hourly average wage, and H represents unit
The oil consumption price of time, W represent that LG represents cost evaluation of estimate because traffic congestion brings the cost of traffic accident；Cost is commented
Value is bigger, then congestion-pricing standard is higher.
This preferred embodiment congestion-pricing management subsystem considers traffic congestion cost, specifically, by establishing cost
Evaluation function, consider time cost, energy cost and social cost that traffic congestion is brought, improve follow-up congestion-pricing
The science of standard formulation.
Preferably, the determination congestion-pricing standard, it is specially：Step 1, to traffic congestion evaluation of estimate and feasibility assessment
Value is normalized；Step 2, expenses standard CS is determined using following formula：CS=0.5+EH ' × EM '+LG, in above-mentioned formula,
EH ', EM ' represent the congestion evaluation of estimate and feasibility assessment value after normalization respectively.
This preferred embodiment congestion-pricing manages subsystem and carries out normalizing to traffic congestion evaluation of estimate and feasibility assessment value
Change is handled, and eliminates the influence that different variables are calculated expense, it is determined that during expenses standard, has considered traffic congestion evaluation
The influence of value, feasibility assessment value and Cost Evaluation value, the expenses standard more science of formulation, is also easier to be received by the common people.
Preferably, the congestion-pricing management subsystem also includes electronic passport, identifier and toll administration center, institute
State electronic passport be arranged on vehicle full position, the identifier be arranged on congestion-pricing section and with the toll administration
Center is connected, and the vehicle for entering congestion-pricing section is identified by electronic passport, and recognition result is uploaded into receipts
Take administrative center, the congestion-pricing standard that the toll administration center determines according to the 4th price determination module is entered to vehicle
Row charge.
This preferred embodiment realizes the congestion-pricing of vehicle by electronic passport, identifier and toll administration center.
Since departure place, route planning is carried out to five destinations using the intelligent route planning system of the present invention, respectively
For destination 1, destination 2, destination 3, destination 4, destination 5, route planning time and Trip Costs are counted, together
Existing route planning system is compared, caused to have the beneficial effect that shown in table：
| The route planning time shortens | Trip Costs reduce | |
| Destination 1 | 29% | 28% |
| Destination 2 | 27% | 25% |
| Destination 3 | 26% | 25% |
| Destination 4 | 25% | 26% |
| Destination 5 | 24% | 24% |
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of scope is protected, although being explained with reference to preferred embodiment to the present invention, one of ordinary skill in the art should
Work as understanding, technical scheme can be modified or equivalent substitution, without departing from the reality of technical solution of the present invention
Matter and scope.
Claims (9)
1. a kind of intelligent route planning system, it is characterised in that obtain subsystem including congestion-pricing management subsystem, information of vehicles
System, route planning subsystem and display device, the congestion-pricing management subsystem are used for the congestion-pricing standard for obtaining section,
The information of vehicles obtains the positional information that subsystem is used for collection vehicle, and the route planning subsystem is according to the congestion in section
Expenses standard and the positional information of vehicle plan that route the display device is used for the route for showing planning.
2. intelligent route planning system according to claim 1, it is characterised in that the positional information of the vehicle is to pass through
The positional information that GPS is obtained.
3. intelligent route planning system according to claim 2, it is characterised in that the display device is that high definition is shown
Screen.
4. intelligent route planning system according to claim 3, it is characterised in that the congestion-pricing manages subsystem bag
Include the first necessity evaluation module, the second feasibility assessment module, the 3rd congestion Cost Evaluation module and the 4th price and determine mould
Block, the first necessity evaluation module are used to evaluate urban traffic blocking situation, the second feasibility assessment mould
Block be used for urban congestion charge feasibility evaluate, the 3rd congestion Cost Evaluation module be used for traffic congestion into
This is evaluated, and the 4th price determination module is used for according to the first necessity evaluation module, the second feasibility assessment
The evaluation of module and the 3rd congestion Cost Evaluation module determines congestion-pricing standard；The second feasibility assessment module includes one
Secondary evaluation unit, second evaluation unit and overall merit unit, an evaluation unit are used for public transport development
Evaluated, the second evaluation unit is used to support situation to evaluate the common people, and the overall merit unit is used for basis
The feasibility that the evaluation of evaluation unit and second evaluation unit is charged to urban congestion is evaluated.
5. intelligent route planning system according to claim 4, it is characterised in that described to enter to urban traffic blocking situation
Row evaluation, it is specially：Establish traffic congestion evaluation function：In above-mentioned formula, L1Represent
Road network flow, L2Represent road network average travel time, L3Represent road network average travel, L4Represent road network design speed per hour, S1Table
Show the congested link mileage of peak period in road network, S represents the total kilometrage in all sections in road network, and EH represents traffic congestion evaluation
Value；Traffic congestion evaluation of estimate is bigger, then the necessity for carrying out congestion-pricing is bigger.
6. intelligent route planning system according to claim 5, it is characterised in that described to enter to public transport development
Row evaluation, it is specially：Establish public transport evaluation function：In above-mentioned formula, G1
Represent the length for the road that every square kilometre of area public bus network passes through, G2Represent public bus network total length, G3Represent every square of public affairs
Accumulate the length of public bus network, V in the inside1Represent that public transport averagely runs speed per hour, β represents public transport punctuality rate, YW1Represent public
Traffic Evaluation value altogether；It is described to support situation to evaluate the common people, be specially：Establish the common people and support evaluation function： In above-mentioned formula, M1Represent the common people to the satisfaction rate of current traffic, M2Represent congestion-pricing
Supporting rate, YW2Represent that the common people support evaluation of estimate；The feasibility to urban congestion charge is evaluated, and is specially：Establish
Feasibility assessment function：In above-mentioned formula, EM represents feasibility assessment value；Can
Row evaluation of estimate is bigger, then the feasibility for carrying out congestion-pricing is bigger.
7. intelligent route planning system according to claim 6, it is characterised in that described to comment traffic congestion cost
Valency, it is specially：Establish cost evaluation function：LG=t × (y+H)+W, in above-mentioned formula, t represents the time that traffic congestion is brought
Delay, y represent traveler hourly average wage, and H represents the oil consumption price of unit interval, and W is represented because traffic congestion is brought
The cost of traffic accident, LG represent cost evaluation of estimate；Cost Evaluation value is bigger, then congestion-pricing standard is higher.
8. intelligent route planning system according to claim 7, it is characterised in that the determination congestion-pricing standard, tool
Body is：Step 1, traffic congestion evaluation of estimate and feasibility assessment value are normalized；Step 2, using following formula determine receive
Take standard CS：CS=0.5+EH ' × EM '+LG, in above-mentioned formula, EH ', EM ' represent the congestion evaluation of estimate after normalization respectively
With feasibility assessment value.
9. intelligent route planning system according to claim 8, it is characterised in that the congestion-pricing management subsystem is also
Including electronic passport, identifier and toll administration center, the electronic passport is arranged on the full position of vehicle, the knowledge
Other device is arranged on congestion-pricing section and is connected with the toll administration center, by electronic passport to entering congestion-pricing road
The vehicle of section is identified, and recognition result is uploaded into toll administration center, and the toll administration center is according to the described 4th
The congestion-pricing standard that price determination module determines is charged to vehicle.
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| CN201710633618.5A CN107451690A (en) | 2017-07-28 | 2017-07-28 | A kind of intelligent route planning system |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107240253A (en) * | 2017-07-28 | 2017-10-10 | 韦德永 | A kind of urban traffic blocking management system |
| CN107944807A (en) * | 2017-12-27 | 2018-04-20 | 广西师范学院 | Logistic management system |
| CN110648411A (en) * | 2019-10-29 | 2020-01-03 | 哈尔滨工业大学 | Road congestion charging system and method based on mileage distribution |
| CN111886611A (en) * | 2018-01-31 | 2020-11-03 | 北美日产公司 | Computing framework for batch route planning for autonomous vehicles |
| US11482111B2 (en) | 2019-07-17 | 2022-10-25 | Uber Technologies, Inc. | Computing timing intervals for vehicles through directional route corridors |
| US11948464B2 (en) | 2017-11-27 | 2024-04-02 | Uber Technologies, Inc. | Real-time service provider progress monitoring |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102184578A (en) * | 2011-04-15 | 2011-09-14 | 江苏怡和科技股份有限公司 | Urban traffic jam charging system |
| CN106052709A (en) * | 2016-05-16 | 2016-10-26 | 腾讯科技（深圳）有限公司 | Congestion information processing method and device |
| CN106504530A (en) * | 2016-10-31 | 2017-03-15 | 合肥工业大学 | A kind of user's trip route induction and managing and control system and its method |
-
2017
- 2017-07-28 CN CN201710633618.5A patent/CN107451690A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102184578A (en) * | 2011-04-15 | 2011-09-14 | 江苏怡和科技股份有限公司 | Urban traffic jam charging system |
| CN106052709A (en) * | 2016-05-16 | 2016-10-26 | 腾讯科技（深圳）有限公司 | Congestion information processing method and device |
| CN106504530A (en) * | 2016-10-31 | 2017-03-15 | 合肥工业大学 | A kind of user's trip route induction and managing and control system and its method |
Non-Patent Citations (4)
| Title |
|---|
| 吴栋栋 等: ""北京交通拥堵引起的生态经济价值损失评估"", 《生态经济》 * |
| 姜毅 等: ""小城市公共交通服务评价指标体系"", 《交通科技与经济》 * |
| 张智勇 等: "《交通拥堵收费研究》", 28 February 2014 * |
| 郑淑鉴 等: ""国内外交通拥堵评价指标计算方法研究"", 《公路与汽运》 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107240253A (en) * | 2017-07-28 | 2017-10-10 | 韦德永 | A kind of urban traffic blocking management system |
| US11948464B2 (en) | 2017-11-27 | 2024-04-02 | Uber Technologies, Inc. | Real-time service provider progress monitoring |
| CN107944807A (en) * | 2017-12-27 | 2018-04-20 | 广西师范学院 | Logistic management system |
| CN111886611A (en) * | 2018-01-31 | 2020-11-03 | 北美日产公司 | Computing framework for batch route planning for autonomous vehicles |
| US11482111B2 (en) | 2019-07-17 | 2022-10-25 | Uber Technologies, Inc. | Computing timing intervals for vehicles through directional route corridors |
| US11854404B2 (en) | 2019-07-17 | 2023-12-26 | Uber Technologies, Inc. | Computing timing intervals for vehicles through directional route corridor |
| CN110648411A (en) * | 2019-10-29 | 2020-01-03 | 哈尔滨工业大学 | Road congestion charging system and method based on mileage distribution |
| CN110648411B (en) * | 2019-10-29 | 2021-09-03 | 哈尔滨工业大学 | Road congestion charging system and method based on mileage distribution |
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Application publication date: 20171208 |