CN108399465A - The OD distribution methods of area traffic control strategy are implemented in a kind of reply - Google Patents
The OD distribution methods of area traffic control strategy are implemented in a kind of reply Download PDFInfo
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- CN108399465A CN108399465A CN201710945343.9A CN201710945343A CN108399465A CN 108399465 A CN108399465 A CN 108399465A CN 201710945343 A CN201710945343 A CN 201710945343A CN 108399465 A CN108399465 A CN 108399465A
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- 238000011217 control strategy Methods 0.000 title claims abstract description 19
- 238000011156 evaluation Methods 0.000 claims abstract description 15
- 238000005457 optimization Methods 0.000 claims description 6
- 238000011835 investigation Methods 0.000 claims description 4
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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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- 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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Abstract
The present invention discloses a kind of OD distribution methods of reply implementation area traffic control strategy, and step is：A determines the regional extent for implementing traffic administration strategy and its implements management strategy classification；B identifies be no longer pass through the region by quasi- implementation management strategy region before management strategy is not carried out and after implementing management strategy OD pairs, and calculates its evaluation of estimate before management strategy is not carried out；C drafts OD pairs in step B of detour optimal path according to the region and its property parameters of periphery road network, and calculates its corresponding evaluation of estimate；D, setting allows detour threshold value, and according to evaluation of estimate, judges whether detour path is received；Original OD is assigned in other trip modes if detour path is not received using advantage trip distance share rate function by E；F is superimposed the OD shares in each section respectively by trip mode, obtains the new OD allocation results in section.Such OD distribution methods can solve the problems, such as that relevant traffic amount is redistributed after implementing traffic administration strategy.
Description
Technical field
The invention belongs to traffic assignation technical field, more particularly to OD points of area traffic control strategy are implemented in a kind of reply
Method of completing the square.
Background technology
Intelligent transportation has the developing direction of future city road traffic as a popular research direction in recent years
Great leading action is the developing direction of future transportation system.The construction of intelligent transportation system is to greatly develop intelligent transportation
Important measure, and structure city virtual traffic platform one step of key.
Traffic Demand Forecasting is directly affected as traffic programme, the commander of an advance unit or vanguard of decision-making, the accuracy of prediction result
The science of follow-up work.However, in recent years, with being widely used for traffic administration strategy, the traffic administration plan of regional area
Implementation slightly is more and more obvious the influence for having traffic distribution, not yet finds that there are relevant solutions.
Invention content
The purpose of the present invention is to provide a kind of OD distribution methods of reply implementation area traffic control strategy, can solve
Relevant traffic amount redistributes problem after certainly implementing traffic administration strategy.
In order to achieve the above objectives, solution of the invention is：
The OD distribution methods of area traffic control strategy are implemented in a kind of reply, include the following steps：
A determines the regional extent for implementing traffic administration strategy and its implements management strategy classification；
B, identification are no longer pass through before management strategy is not carried out by quasi- implementation management strategy region and after implementing management strategy
Quasi- implement management region OD pairs, and calculate its evaluation of estimate before management strategy is not carried out；
C drafts OD pairs in step B of detour according to quasi- implementation management strategy region and its property parameters of periphery road network
Optimal path, and calculate its corresponding evaluation of estimate；
D, setting allows detour threshold value, and according to the evaluation of estimate determined in step B and step C, whether judges detour path
Received；
Original OD Traffic growth rates are arrived it by E if detour path is not received using advantage trip distance share rate function
In his trip mode；
F is superimposed the OD shares in each section respectively by trip mode, obtains the new OD Traffic growth rate results in section.
In above-mentioned steps A, the region for implementing traffic administration strategy includes physical region made of being enclosed by several roads,
And the special area of Dan Youyi road or node composition.
In above-mentioned steps A, management strategy classification is including but not limited to forbidden, restrict driving, congestion-pricing and setting public transport are special
It uses.
In above-mentioned steps B, identification is not carried out before management strategy by quasi- implement management strategy region OD pairs, and use is following
Method：By each section in existing road network, node property parameters based on, using optimal method, determine each OD pairs optimal
Path, and the quasi- regional extent for implementing management strategy is combined, define whether each OD pairs of optimal path is implemented to manage plan by quasi-
Slightly region.
The attribute in above-mentioned section, which includes section number of track-lines, road section length and vehicle, allows running velocity.
The attribute of above-mentioned node includes the steering management of intersection geometric properties and each Parking Entrance.
Above-mentioned optimal method includes but is not limited to short line, most saves time and minimum stroke expense.
In above-mentioned steps C, the optimization aim of the optimal path keeps one with the optimization aim of optimal path in step B
It causes.
In above-mentioned steps D, detour threshold value is defined as characterizing the acceptable maximum detour rate of resident, the detour rate
Implement the ratio of the evaluation of estimate and the evaluation of estimate of optimal path before implementation management strategy in the optimal detour path after management strategy.
In above-mentioned steps D, whether received using following methods judgement detour path：It detours if detour rate is less than or equal to
Threshold value, then path of detouring are received；Otherwise, detour path is not received.
In above-mentioned steps E, advantage trip distance share rate function increases every time on the basis of Urban Residential Trip is investigated
The investigation of trip distance and trip mode, and be fitted to obtain according to the data of investigation, the share rate function is to go out
Row distance is the function of independent variable.
Above-mentioned steps E includes following steps：
Step E1 determines advantage trip distance share rate function ys of the trip mode i at trip distance xi=yi(x)；
Step E2 is determined to substitute one or more trip modes of original trip；
Step E3 determines the distance L for substituting optimal paths of the trip mode j between origin and destination O, DOD(j)；
Step E4 corrects each share rate for substituting trip mode between origin and destination O, D,
Wherein, LOD(j) distance of optimal paths of the trip mode j between origin and destination O, D, y are indicatedj(LOD(j)) it indicates
Share rate under the distance of optimal paths of the trip mode j between origin and destination O, D, yj' indicate trip mode j origin and destination O,
Amendment share rate under the distance of optimal path between D；
Step E5, by original OD Traffic growth rates to other trip modes,
VOD(j)=VOD(i)*yj′
Wherein, VOD(i) volume of traffic from trip mode i starting point O to terminal D, V are indicatedOD(j) trip mode j is indicated
From VOD(i) share in.
After adopting the above scheme, the present invention influences existing travel modal after being directed to implementation traffic administration strategy at present
The problem of, emphasis is not implementing the case where management strategy region but optimal path pass through the region for origin and destination O, D, passes through
Rational detour threshold value is set, existing OD amounts can be transferred to other paths by the way of detouring, or be based on advantage
Distance trip share rate function shifts other and substitutes trip mode, to improving accuracy, the assessment traffic administration plan of traffic assignation
Influence after slightly implementing etc. has active influence.
Description of the drawings
Fig. 1 is the flow chart of the present invention.
Specific implementation mode
Below with reference to attached drawing, technical scheme of the present invention is described in detail.
As shown in Figure 1, the present invention provides a kind of OD distribution methods of reply implementation area traffic control strategy, including it is as follows
Step：
Step A determines the regional extent for implementing traffic administration strategy and its implements management strategy classification；
Wherein, the region of the implementation traffic administration strategy is not limited solely to object made of being enclosed by several roads
Region is managed, also includes the special area that Dan Youyi road or a node form；The management strategy classification refers to existing
The mode for urban traffic control, the method that has or may use in the future, including but not limited to forbidden, restricted driving, congestion
Charge and setting public transportation lane；
Step B, identification are not carried out before management strategy behind quasi- implementation management strategy region and implementation management strategy no longer
By quasi- implement management region OD pairs, and calculate its evaluation of estimate before management strategy is not carried out；
In the step B, the identification is not carried out before management strategy by quasi- implement management strategy region OD pairs, can
Using following methods：By each section in existing road network, node property parameters based on, using optimal method, determine each OD
To optimal path, and combine the quasi- regional extent for implementing management strategy, whether define each OD pairs of optimal path by quasi- real
Apply management strategy region；Wherein, the attribute in section, which includes section number of track-lines, road section length and vehicle, allows running velocity, node
Attribute include intersection geometric properties and each Parking Entrance steering management；Used optimal method includes but is not limited to
Existing shortest path most saves time and minimum stroke expense；
Step C drafts in step B OD pairs according to quasi- implementation management strategy region and its property parameters of periphery road network
Detour optimal path, and calculate its corresponding evaluation of estimate, wherein the optimization aim of optimal path and optimal path in step B
Optimization aim is consistent；
Step D, setting allows detour threshold value, and according to the evaluation of estimate determined in step B and step C, judges detour path
Whether received；
Wherein, the detour threshold value is for characterizing resident's acceptable maximum detour rate, and the detour rate can be with
It is defined as implementing the evaluation of estimate in the optimal detour path after management strategy and the evaluation of estimate of optimal path before implementation management strategy
Ratio；The detour threshold value is related with trip mode, the corresponding detour threshold value of the trip mode that mobility is higher, speed is faster
It is bigger, it can be obtained by resident trip survey in engineering practice, it is proposed that the value between 1.2-2.0；
In the step D, it may be used whether following methods judgement detour path is received：If the detour rate is less than
Equal to detour threshold value, then path of detouring can be received；Otherwise, do not receive detour path, can only be gone out using other substitute modes
Row.
Step E, if detour path is not received, using advantage trip distance share rate function by original OD Traffic growth rates
Onto other trip modes；
Wherein, the advantage trip distance share rate function can be on the basis of original Urban Residential Trip be investigated
Increase the investigation of each trip distance and trip mode, and is fitted to obtain according to the data of investigation, the share rate letter
Number is the function using trip distance as independent variable；
Specifically, step E includes following steps：
(E1) according to the setting method of aforementioned advantages trip distance share rate function, determine trip mode i in trip distance x
Under advantage trip distance share rate function yi=yi(x)；
(E2) determination can substitute one or more trip modes of original trip；
(E3) the distance L for substituting optimal paths of the trip mode j between origin and destination O, D is determinedOD(j)；
(E4) each share rate for substituting trip mode between origin and destination O, D is corrected：
Wherein, LOD(j) distance of optimal paths of the trip mode j between origin and destination O, D, y are indicatedj(LOD(j)) it indicates
Share rate under the distance of optimal paths of the trip mode j between origin and destination O, D, yj' indicate trip mode j origin and destination O,
Amendment share rate under the distance of optimal path between D；
(E5) by original OD Traffic growth rates to other trip modes,
VOD(j)=VOD(i)*yj′
Wherein, VOD(i) volume of traffic from trip mode i starting point O to terminal D, V are indicatedOD(j) trip mode j is indicated
From VOD(i) share in；
Step F is superimposed the OD shares in each section respectively by trip mode, obtains the new OD Traffic growth rate knots in section
Fruit.
Above example is merely illustrative of the invention's technical idea, and protection scope of the present invention cannot be limited with this, every
According to technological thought proposed by the present invention, any change done on the basis of technical solution each falls within the scope of the present invention
Within.
Claims (12)
1. the OD distribution methods of area traffic control strategy are implemented in a kind of reply, it is characterised in that include the following steps：
A determines the regional extent for implementing traffic administration strategy and its implements management strategy classification；
B is identified by quasi- implementation management strategy region before management strategy is not carried out and is no longer pass through after implementing management strategy and intended in fact
Apply management region OD pairs, and calculate its evaluation of estimate before management strategy is not carried out；
It is optimal to draft OD pairs in step B of detour according to quasi- implementation management strategy region and its property parameters of periphery road network by C
Path, and calculate its corresponding evaluation of estimate；
D, setting allows detour threshold value, and according to the evaluation of estimate determined in step B and step C, judges whether detour path is connect
By；
E is gone out original OD Traffic growth rates to other using advantage trip distance share rate function if detour path is not received
On line mode；
F is superimposed the OD shares in each section respectively by trip mode, obtains the new OD Traffic growth rate results in section.
2. the OD distribution methods of area traffic control strategy are implemented in a kind of reply as described in claim 1, it is characterised in that：Institute
It states in step A, the region for implementing traffic administration strategy includes physical region and Dan Youyi made of being enclosed by several roads
The special area of road or node composition.
3. the OD distribution methods of area traffic control strategy are implemented in a kind of reply as described in claim 1, it is characterised in that：Institute
It states in step A, management strategy classification is including but not limited to forbidden, restrict driving, congestion-pricing and setting public transportation lane.
4. the OD distribution methods of area traffic control strategy are implemented in a kind of reply as described in claim 1, it is characterised in that：Institute
It states in step B, identification is not carried out before management strategy by quasi- implement management strategy region OD pairs, using following methods：With existing
Have each section in road network, node property parameters based on, using optimal method, determine each OD pairs of optimal path, and tie
The quasi- regional extent for implementing management strategy is closed, whether defines each OD pairs of optimal path by intending implementing management strategy region.
5. the OD distribution methods of area traffic control strategy are implemented in a kind of reply as claimed in claim 4, it is characterised in that：Institute
The attribute for stating section, which includes section number of track-lines, road section length and vehicle, allows running velocity.
6. the OD distribution methods of area traffic control strategy are implemented in a kind of reply as claimed in claim 4, it is characterised in that：Institute
The attribute for stating node includes the steering management of intersection geometric properties and each Parking Entrance.
7. the OD distribution methods of area traffic control strategy are implemented in a kind of reply as claimed in claim 4, it is characterised in that：Institute
Optimal method is stated to include but is not limited to short line, most save time and minimum stroke expense.
8. the OD distribution methods of area traffic control strategy are implemented in a kind of reply as claimed in claim 4, it is characterised in that：Institute
It states in step C, the optimization aim and the optimization aim of optimal path in step B of the optimal path are consistent.
9. the OD distribution methods of area traffic control strategy are implemented in a kind of reply as described in claim 1, it is characterised in that：Institute
It states in step D, detour threshold value is defined as implementing management plan for characterizing the acceptable maximum detour rate of resident, the detour rate
The ratio of the evaluation of estimate in the optimal detour path after slightly and the evaluation of estimate of optimal path before implementation management strategy.
10. the OD distribution methods of area traffic control strategy are implemented in a kind of reply as claimed in claim 9, it is characterised in that：
In the step D, whether received using following methods judgement detour path：If detour rate is less than or equal to detour threshold value,
Detour path is received；Otherwise, detour path is not received.
11. the OD distribution methods of area traffic control strategy are implemented in a kind of reply as described in claim 1, it is characterised in that：
In the step E, advantage trip distance share rate function increases each trip distance on the basis of Urban Residential Trip is investigated
It with the investigation of trip mode, and is fitted to obtain according to the data of investigation, the share rate function is to be with trip distance
The function of independent variable.
12. the OD distribution methods of area traffic control strategy are implemented in a kind of reply as described in claim 1, it is characterised in that institute
It includes following steps to state step E：
Step E1 determines advantage trip distance share rate function ys of the trip mode i at trip distance xi=yi(x)；
Step E2 is determined to substitute one or more trip modes of original trip；
Step E3 determines the distance L for substituting optimal paths of the trip mode j between origin and destination O, DOD(j)；
Step E4 corrects each share rate for substituting trip mode between origin and destination O, D,
Wherein, LOD(j) distance of optimal paths of the trip mode j between origin and destination O, D, y are indicatedj(LOD(j)) trip is indicated
Share rate under the distance of optimal paths of the mode j between origin and destination O, D, yj' indicate trip mode j origin and destination O, D it
Between optimal path distance under amendment share rate；
Step E5, by original OD Traffic growth rates to other trip modes,
VOD(j)=VOD(i)*yj′
Wherein, VOD(i) volume of traffic from trip mode i starting point O to terminal D, V are indicatedOD(j) indicate trip mode j from VOD
(i) share in.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109325617A (en) * | 2018-09-04 | 2019-02-12 | 青岛海信网络科技股份有限公司 | A kind of urban traffic status prediction technique and device |
| CN109544927A (en) * | 2018-12-10 | 2019-03-29 | 中南大学 | A kind of multitiered network collaboration restricted driving method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102136192A (en) * | 2011-01-31 | 2011-07-27 | 上海美慧软件有限公司 | Method for identifying trip mode based on mobile phone signal data |
| US20110267954A1 (en) * | 2010-03-16 | 2011-11-03 | The Regents Of The University Of California | Method for routing-assisted traffic monitoring |
| CN103310120A (en) * | 2013-07-10 | 2013-09-18 | 东南大学 | Transport service level based method for determining section congestion charge rates |
| CN107038862A (en) * | 2017-05-04 | 2017-08-11 | 东南大学 | A kind of traffic assignation modification method under the conditions of tail number restricted driving |
-
2017
- 2017-10-12 CN CN201710945343.9A patent/CN108399465B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110267954A1 (en) * | 2010-03-16 | 2011-11-03 | The Regents Of The University Of California | Method for routing-assisted traffic monitoring |
| CN102136192A (en) * | 2011-01-31 | 2011-07-27 | 上海美慧软件有限公司 | Method for identifying trip mode based on mobile phone signal data |
| CN103310120A (en) * | 2013-07-10 | 2013-09-18 | 东南大学 | Transport service level based method for determining section congestion charge rates |
| CN107038862A (en) * | 2017-05-04 | 2017-08-11 | 东南大学 | A kind of traffic assignation modification method under the conditions of tail number restricted driving |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109325617A (en) * | 2018-09-04 | 2019-02-12 | 青岛海信网络科技股份有限公司 | A kind of urban traffic status prediction technique and device |
| CN109544927A (en) * | 2018-12-10 | 2019-03-29 | 中南大学 | A kind of multitiered network collaboration restricted driving method |
| CN109544927B (en) * | 2018-12-10 | 2019-11-29 | 中南大学 | A kind of multitiered network collaboration restricted driving method |
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| CN108399465B (en) | 2021-09-07 |
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