CN113610283A - Highway road occupation construction plan optimization method, device, medium and product based on simulation evaluation - Google Patents
Highway road occupation construction plan optimization method, device, medium and product based on simulation evaluation Download PDFInfo
- Publication number
- CN113610283A CN113610283A CN202110840987.8A CN202110840987A CN113610283A CN 113610283 A CN113610283 A CN 113610283A CN 202110840987 A CN202110840987 A CN 202110840987A CN 113610283 A CN113610283 A CN 113610283A
- Authority
- CN
- China
- Prior art keywords
- construction
- road
- road occupation
- scheme
- construction scheme
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000010276 construction Methods 0.000 title claims abstract description 259
- 238000004088 simulation Methods 0.000 title claims abstract description 60
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000011156 evaluation Methods 0.000 title claims abstract description 33
- 238000005457 optimization Methods 0.000 title claims abstract description 24
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 10
- 238000004364 calculation method Methods 0.000 claims abstract description 9
- 238000011144 upstream manufacturing Methods 0.000 claims description 32
- 238000004590 computer program Methods 0.000 claims description 11
- 238000012216 screening Methods 0.000 claims description 6
- 230000006399 behavior Effects 0.000 claims description 3
- 238000007726 management method Methods 0.000 description 4
- 230000008520 organization Effects 0.000 description 3
- 238000009430 construction management Methods 0.000 description 2
- 238000011158 quantitative evaluation Methods 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 206010039203 Road traffic accident Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
Classifications
-
- 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"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
-
- 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/16—Real estate
- G06Q50/165—Land development
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Geometry (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Computer Hardware Design (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Architecture (AREA)
- Civil Engineering (AREA)
- Structural Engineering (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biodiversity & Conservation Biology (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Traffic Control Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a simulation evaluation-based highway road occupation construction plan optimization method, which comprises the following steps of: establishing a road traffic simulation model of a highway section where construction is located; acquiring the data of the road occupation construction scheme of the construction time to be arranged and the data required by the operation of the model; if no initial road occupation construction plan exists, inputting travel demand data and each road occupation construction scheme into an optimal execution time period calculation model, acquiring the optimal execution time period of each road occupation construction scheme, and making an initial road occupation construction plan; inputting the initial road occupation construction plan, the road occupation construction scheme and the data required by operation into a road traffic simulation model and operating to obtain simulation evaluation data; and inputting the simulation evaluation data, the road occupation construction plan and the road occupation construction scheme into a road occupation construction plan optimization algorithm model to form an optimized road occupation construction plan. The method realizes the optimization of the highway lane occupation construction plan, assists in reducing the traffic influence of the lane occupation construction scheme, and ensures the smooth and safe operation of highway traffic.
Description
Technical Field
The invention relates to the technical field of traffic simulation application, in particular to a method, equipment, a medium and a product for optimizing a highway road occupation construction plan based on simulation evaluation.
Background
At the current time of being positive in the key period of strong traffic countries, the expressway often faces construction requirements such as maintenance, reconstruction and expansion, road-related construction projects and the like, and the expressway construction projects usually occupy one or more lanes, so that the traffic capacity of expressway sections is reduced, and the safety risk is increased. On a highway with a large flow or a high freight car occupation ratio, an unreasonable road occupation construction plan is easy to cause large-area traffic jam, traffic accidents with serious casualties and the like, the construction efficiency is reduced, and great challenges are brought to smooth traffic, safety and operation of the road sections. Therefore, freeway construction requires more scientific planning and optimization to reduce the negative impact of construction.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a simulation evaluation-based highway occupying construction plan optimization method, which is used for realizing highway occupying construction plan optimization by analyzing, studying and judging traffic demand data and construction organization data, evaluating and verifying traffic simulation data and combining a microscopic traffic simulation technology, and assisting in reducing traffic influence of a occupying construction scheme.
The invention provides a simulation evaluation-based highway road occupation construction plan optimization method, which comprises the following steps of:
establishing a model, namely establishing a road traffic simulation model of a highway section where construction is located;
acquiring data, acquiring road occupation construction scheme data of construction time to be scheduled and data required by operation of the road traffic simulation model;
making an initial road occupation construction plan, inputting travel demand data and each road occupation construction scheme into an optimal execution time period calculation model if no initial road occupation construction plan exists, obtaining the optimal execution time period of each road occupation construction scheme, and making the initial road occupation construction plan so that each road occupation construction scheme is constructed within the optimal execution time period;
acquiring simulation evaluation data, inputting the initial road occupation construction plan, the road occupation construction scheme and the data required by operation into the road traffic simulation model and operating to acquire the simulation evaluation data;
and forming an optimized occupied road construction plan, inputting the simulation evaluation data, the initial occupied road construction plan and the occupied road construction scheme into a occupied road construction plan optimization algorithm model, and forming the optimized occupied road construction plan.
Furthermore, the lane occupying construction scheme data comprises construction positions, construction lane occupying, construction duration and construction operation area arrangement; the data required by the operation of the road traffic simulation model comprise travel management and control scheme data, travel demand data and vehicle behavior data.
Further, the optimal execution time period calculation model includes:
screening high-speed sections, and screening all high-speed sections influenced by each road occupation construction scheme according to the road occupation construction scheme enclosure range and high-speed intercommunication;
and calculating the construction execution time period with the lowest average traffic flow of each occupied road construction scheme as the optimal execution time period by taking the construction duration of the construction scheme as a window through a sliding window algorithm.
Further, the road occupation construction plan optimization algorithm model comprises:
acquiring the maximum queuing length, and analyzing the queuing condition caused by each occupied road construction scheme through the simulation evaluation data to obtain the maximum queuing length of each occupied road construction scheme;
selecting a target road occupation construction scheme, and selecting a road occupation construction scheme without scheduling adjustment as the target road occupation construction scheme from long to short according to the maximum queuing length of the road occupation construction scheme;
judging congestion, namely judging whether the maximum queuing length of the target road occupation construction scheme exceeds a congestion threshold, if not, finishing the optimization of the road occupation construction plan, and if so, entering the next step;
selecting an upstream road occupation construction scheme, judging whether a road occupation construction scheme with the maximum queuing length lower than a threshold value exists at the upstream of the target road occupation construction scheme, if not, skipping to the step of selecting the target road occupation construction scheme, and adjusting the next road occupation construction scheme; if the current road occupation exists, the scheme is used as an upstream road occupation construction scheme;
and judging the congestion range, namely judging whether the congestion range of the target road occupation construction scheme extends to the position of the upstream road occupation construction scheme, if so, adjusting in a scheme staggering manner, and if not, adjusting in an upstream current limiting manner.
Further, the adjustment in the scheme staggering manner specifically includes removing a peak congestion time period in which the maximum congestion of the target road occupation construction scheme occurs from an allowable construction time period of the upstream road occupation construction scheme, and recalculating the optimal execution time period of the upstream road occupation construction scheme as a new road occupation construction plan through the optimal execution time period calculation model of the step of formulating the initial road occupation construction plan.
Further, the upstream flow limiting method is adopted for adjustment, specifically, if the upstream road occupation construction scheme has a congestion phenomenon, the construction time is adjusted to the most congested time period of the target road occupation construction scheme within the construction allowable time, and the congestion degree of the target road occupation construction scheme is reduced by limiting the upstream flow.
An electronic device, comprising: a processor, a memory, and a program, wherein the program is stored in the memory and configured to be executed by the processor, the program comprising instructions for performing a highway occupancy construction plan optimization method based on a simulation evaluation.
A computer-readable storage medium having stored thereon a computer program for execution by a processor of a method for highway occupancy construction plan optimization based on simulation evaluations.
A computer program product comprising a computer program/instructions which, when executed by a processor, implements a method for highway occupancy construction plan optimization based on simulation evaluations.
Compared with the prior art, the invention has the beneficial effects that:
the invention realizes the quantitative evaluation of the construction influence by analyzing, studying and judging the traffic demand data and the construction organization data and evaluating and verifying the data of traffic simulation, and provides a more optimal road occupation construction plan to assist in reducing the traffic influence of the road occupation construction scheme; the problems that the conventional expressway construction scheduling evaluation is difficult and the management mode is extensive are solved; providing scientific and stable decision support for the adjustment of the daily road occupation construction plan of the expressway, and reducing decision risk; the construction management of the auxiliary expressway is more refined and controllable.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood and to implement them in accordance with the contents of the description, the following detailed description is given with reference to the preferred embodiments of the present invention and the accompanying drawings. The detailed description of the present invention is given in detail by the following examples and the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of a simulation evaluation-based highway road occupation construction plan optimization method of the present invention;
FIG. 2 is a flowchart of the steps of making an initial road occupation construction plan according to the present invention;
FIG. 3 is a flowchart of the steps of forming a new road occupation construction plan according to the present invention;
fig. 4 is a schematic diagram of a construction execution time period according to an embodiment of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
The method for optimizing the highway road occupation construction plan based on simulation evaluation, as shown in fig. 1, comprises the following steps:
the method comprises the steps of establishing a model, establishing a road traffic simulation model of a highway section where construction is located, realizing highway traffic simulation based on electronic traffic simulation by the road traffic simulation model, and establishing a standardized traffic simulation model according to a four-in-two principle of refinement, accuracy, flow, standardization, controllability and expandability.
Establishing a standardized traffic simulation model according to an actual road and a static traffic facility of a highway section where construction is located to obtain a first simulation operation model; the actual road and static traffic facilities of the highway section where the construction is located comprise one or more of road line shapes, horizontal and vertical lines, lane numbers, traffic marking lines and toll roads.
And calibrating and verifying the first simulation operation model according to the historical section flow data and the historical monitoring record of the highway toll collection system of the highway section where the construction is located, iteratively optimizing until the verification condition is met to obtain a second simulation operation model, and taking the second simulation operation model as the road traffic simulation model.
And acquiring data, and acquiring road occupation construction scheme data of construction time to be arranged and data required by the operation of the road traffic simulation model. The lane occupying construction scheme data comprises construction positions, construction lane occupying, construction duration and construction operation area arrangement. The construction types comprise fixed construction and movable construction. The data required by the operation of the road traffic simulation model comprise travel management and control scheme model data, travel demand data and vehicle behavior model data.
And formulating an initial road occupation construction plan, inputting travel demand data and each road occupation construction scheme into an optimal execution time period calculation model if no initial road occupation construction plan exists, acquiring the optimal execution time period of each road occupation construction scheme, and formulating the initial road occupation construction plan to enable each road occupation construction scheme to be constructed within the optimal execution time period. Specifically, as shown in fig. 2, the method includes:
screening high-speed sections, and screening all the high-speed sections influenced by the road-occupying construction scheme according to the road-occupying construction scheme enclosure range. Specifically, in the enclosure range of the road occupation construction scheme, all high-speed sections influenced by the road occupation construction scheme are screened out through high-speed intercommunication. The high-speed intercommunication refers to the intersection point of the expressway and other roads, and is generally in the form of an overpass; on the road of the high-speed trunk, from a high-speed intercommunication, the part of the high-speed trunk reaching between adjacent intercommunications is called a section of high-speed subsection.
And calculating the construction execution time period with the lowest average traffic flow of each occupied road construction scheme as the optimal execution time period by taking the construction duration of the construction scheme as a window through a sliding window algorithm.
The sliding window algorithm means that in the construction allowable time range of the road occupation construction scheme, all time periods which accord with the construction duration are divided in a sliding window mode. Such as: the construction allowable time range is 0 to 8 points, the construction duration is 4 hours, as shown in fig. 4, the construction execution time period may be 0 to 4 points, 1 to 5 points, 2 to 6 points, …, it should be understood that any time period with a length reaching the construction duration within the construction allowable time range may be the construction execution time, for example, 1:25 to 5:25, but because the accuracy requirement of the current actual construction on the execution time is low, the whole hour may be taken as the construction time period in general.
And then, calculating the total traffic flow of each time period of the construction, and taking the time period with the lowest total traffic flow as the optimal execution time period of the road occupation construction scheme. Such as: and calculating the average traffic flow of the first high-speed section and the second high-speed section of the construction area in each construction execution time period to obtain the total traffic flow of the construction area in each construction execution time period.
And acquiring simulation evaluation data, inputting the initial road occupation construction plan, the road occupation construction scheme and the data required by operation into the road traffic simulation model, and operating to acquire the simulation evaluation data.
And forming an optimized occupied road construction plan, inputting the simulation evaluation data, the initial occupied road construction plan and the occupied road construction scheme into a occupied road construction plan optimization algorithm model, and forming the optimized occupied road construction plan. Specifically, as shown in fig. 3, the method includes:
and acquiring the maximum queuing length, and analyzing the queuing condition caused by each occupied road construction scheme through simulation evaluation data to obtain the maximum queuing length of each occupied road construction scheme. Such as: at present, 2 road occupation construction schemes exist on the highway, and the maximum queuing lengths of the 2 road occupation construction schemes are obtained by analyzing the queuing conditions caused by the 2 road occupation construction schemes through simulation evaluation data.
Selecting a target road occupation construction scheme, and selecting a road occupation construction scheme without scheduling adjustment as the target road occupation construction scheme according to the maximum queuing length of the road occupation construction scheme from long to short;
judging congestion, namely judging whether the maximum queuing length of the target road occupation construction scheme exceeds a congestion threshold, setting the congestion threshold to be 3 kilometers or 5 kilometers, adjusting according to various local policies, if not, completing the optimization of the road occupation construction plan, and if so, entering the next step;
selecting an upstream road occupation construction scheme, judging whether a road occupation construction scheme with the maximum queuing length lower than a threshold value exists at the upstream of the target road occupation construction scheme, if not, skipping to the step of selecting the target road occupation construction scheme, and adjusting the next road occupation construction scheme; if the current road occupation exists, the scheme is used as an upstream road occupation construction scheme;
and judging the congestion range, namely judging whether the congestion range of the target road occupation construction scheme extends to the position of the upstream road occupation construction scheme, if so, adjusting in a scheme staggering manner, and if not, adjusting in an upstream current limiting manner.
The scheme staggered adjustment is specifically to remove the peak congestion time period in which the maximum congestion of the target road occupation construction scheme occurs from the allowable construction time period of the upstream road occupation construction scheme, such as: and if the peak congestion time period of the maximum congestion of the target road occupation construction scheme is 9 to 12 points, removing 9 to 12 points from the allowable construction time period of the upstream road occupation construction scheme, and recalculating the optimal execution time period of the upstream road occupation construction scheme as a new road occupation construction plan through the optimal execution time period calculation model of the step of formulating the initial road occupation construction plan.
The method for adjusting by adopting the upstream current limiting mode is specifically that if the construction scheme of the upstream road occupation has congestion, the construction time is adjusted to the most congested time period of the target road occupation construction scheme as far as possible within the construction allowable time, for example: and the construction allowable time of the upstream road occupation construction scheme is 6 to 12 points, the maximum congestion time period of the target road occupation construction scheme is 9 to 12 points, and then the construction time is adjusted to 9 to 12 points. And the congestion degree of the target road occupation construction scheme is slowed down by limiting the upstream flow.
An electronic device, comprising: a processor, a memory, and a program, wherein the program is stored in the memory and configured to be executed by the processor, the program comprising instructions for performing a highway occupancy construction plan optimization method based on a simulation evaluation.
A computer-readable storage medium having stored thereon a computer program for execution by a processor of a method for highway occupancy construction plan optimization based on simulation evaluations.
A computer program product comprising a computer program/instructions which, when executed by a processor, implements a method for highway occupancy construction plan optimization based on simulation evaluations.
The invention realizes the quantitative evaluation of the construction influence by analyzing, studying and judging the traffic demand data and the construction organization data and evaluating and verifying the data of traffic simulation, and provides a more optimal road occupation construction plan to assist in reducing the traffic influence of the road occupation construction scheme; the problems that the conventional expressway construction scheduling evaluation is difficult and the management mode is extensive are solved; providing scientific and stable decision support for the adjustment of the daily road occupation construction plan of the expressway, and reducing decision risk; the construction management of the auxiliary expressway is more refined and controllable.
The foregoing is merely a preferred embodiment of the invention and is not intended to limit the invention in any manner; those skilled in the art can readily practice the invention as shown and described in the drawings and detailed description herein; however, those skilled in the art should appreciate that they can readily use the disclosed conception and specific embodiments as a basis for designing or modifying other structures for carrying out the same purposes of the present invention without departing from the scope of the invention as defined by the appended claims; meanwhile, any changes, modifications, and evolutions of the equivalent changes of the above embodiments according to the actual techniques of the present invention are still within the protection scope of the technical solution of the present invention.
Claims (9)
1. The method for optimizing the highway road occupation construction plan based on simulation evaluation is characterized by comprising the following steps of:
establishing a model, namely establishing a road traffic simulation model of a highway section where construction is located;
acquiring data, acquiring road occupation construction scheme data of construction time to be scheduled and data required by operation of the road traffic simulation model;
making an initial road occupation construction plan, inputting travel demand data and each road occupation construction scheme into an optimal execution time period calculation model if no initial road occupation construction plan exists, obtaining the optimal execution time period of each road occupation construction scheme, and making the initial road occupation construction plan so that each road occupation construction scheme is constructed within the optimal execution time period;
acquiring simulation evaluation data, inputting the initial road occupation construction plan, the road occupation construction scheme and the data required by operation into the road traffic simulation model and operating to acquire the simulation evaluation data;
and forming an optimized occupied road construction plan, inputting the simulation evaluation data, the initial occupied road construction plan and the occupied road construction scheme into a occupied road construction plan optimization algorithm model, and forming the optimized occupied road construction plan.
2. The method for optimizing the occupied road construction plan of the expressway according to claim 1, wherein the method comprises the following steps: the lane occupying construction scheme data comprises construction positions, construction lane occupying, construction duration and construction operation area arrangement; the data required by the operation of the road traffic simulation model comprise travel management and control scheme data, travel demand data and vehicle behavior data.
3. The method for optimizing a road occupation construction plan based on simulation evaluation according to claim 1, wherein the optimal execution time period calculation model comprises:
screening high-speed sections, and screening all high-speed sections influenced by each road occupation construction scheme according to the road occupation construction scheme enclosure range and high-speed intercommunication;
and calculating the construction execution time period with the lowest average traffic flow of each occupied road construction scheme as the optimal execution time period by taking the construction duration of the construction scheme as a window through a sliding window algorithm.
4. The method for optimizing the occupied road construction plan of the expressway according to claim 1, wherein the occupied road construction plan optimization algorithm model comprises:
acquiring the maximum queuing length, and analyzing the queuing condition caused by each occupied road construction scheme through the simulation evaluation data to obtain the maximum queuing length of each occupied road construction scheme;
selecting a target road occupation construction scheme, and selecting a road occupation construction scheme without scheduling adjustment as the target road occupation construction scheme from long to short according to the maximum queuing length of the road occupation construction scheme;
judging congestion, namely judging whether the maximum queuing length of the target road occupation construction scheme exceeds a congestion threshold, if not, finishing the optimization of the road occupation construction plan, and if so, entering the next step;
selecting an upstream road occupation construction scheme, judging whether a road occupation construction scheme with the maximum queuing length lower than a threshold value exists at the upstream of the target road occupation construction scheme, if not, skipping to the step of selecting the target road occupation construction scheme, and adjusting the next road occupation construction scheme; if the current road occupation exists, the scheme is used as an upstream road occupation construction scheme;
and judging the congestion range, namely judging whether the congestion range of the target road occupation construction scheme extends to the position of the upstream road occupation construction scheme, if so, adjusting in a scheme staggering manner, and if not, adjusting in an upstream current limiting manner.
5. The method for optimizing the occupied road construction plan of the expressway according to claim 4, wherein the method comprises the following steps: the method for adjusting in a scheme staggering mode specifically comprises the steps of removing a peak congestion time period in which the maximum congestion of a target road occupation construction scheme occurs from an allowable construction time period of an upstream road occupation construction scheme, and recalculating the optimal execution time period of the upstream road occupation construction scheme as a new road occupation construction plan through the optimal execution time period calculation model of the step of formulating the initial road occupation construction plan.
6. The method for optimizing the occupied road construction plan of the expressway according to claim 4, wherein the method comprises the following steps: the method adopts an upstream flow limiting mode for adjustment, and specifically, if the upstream road occupation construction scheme has a congestion phenomenon, the construction time is adjusted to the most congested time period of the target road occupation construction scheme within the construction allowable time, and the congestion degree of the target road occupation construction scheme is reduced by limiting upstream flow.
7. An electronic device, characterized by comprising: a processor, a memory, and a program, wherein the program is stored in the memory and configured to be executed by the processor, the program comprising instructions for performing the method of any of claims 1-6.
8. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program is executed by a processor for performing the method according to any of claims 1-6.
9. A computer program product comprising computer programs/instructions, characterized in that the computer programs/instructions, when executed by a processor, implement the method according to any of claims 1-6.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110840987.8A CN113610283B (en) | 2021-07-23 | 2021-07-23 | Highway occupying road construction plan optimization method, equipment, medium and product based on simulation evaluation |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110840987.8A CN113610283B (en) | 2021-07-23 | 2021-07-23 | Highway occupying road construction plan optimization method, equipment, medium and product based on simulation evaluation |
Publications (2)
Publication Number | Publication Date |
---|---|
CN113610283A true CN113610283A (en) | 2021-11-05 |
CN113610283B CN113610283B (en) | 2024-04-09 |
Family
ID=78338240
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110840987.8A Active CN113610283B (en) | 2021-07-23 | 2021-07-23 | Highway occupying road construction plan optimization method, equipment, medium and product based on simulation evaluation |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113610283B (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115115328A (en) * | 2022-05-12 | 2022-09-27 | 上海市城市建设设计研究总院(集团)有限公司 | Intelligent examination and approval method for lane occupation construction based on LBS data |
CN115472007A (en) * | 2022-08-29 | 2022-12-13 | 北京掌行通信息技术有限公司 | Vehicle queuing length prediction method and device, storage medium and terminal |
CN116882709A (en) * | 2023-09-05 | 2023-10-13 | 深圳市睿拓新科技有限公司 | Road construction intelligent supervision method based on big data analysis and storage medium |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2003176693A (en) * | 2001-12-10 | 2003-06-27 | Osaka Gas Co Ltd | Method and system for planning construction work using road |
CN108629490A (en) * | 2018-04-13 | 2018-10-09 | 北京寄云鼎城科技有限公司 | A kind of road maintenance scheme computational methods and system |
CN109271663A (en) * | 2018-08-01 | 2019-01-25 | 北京航空航天大学 | A kind of urban road maintenance policy optimization method based on main body emulation |
CN110070720A (en) * | 2019-05-15 | 2019-07-30 | 武汉科技大学 | Improve the calculation method of intersection road occupying construction section capacity model-fitting degree |
CN110888358A (en) * | 2019-11-25 | 2020-03-17 | 中国十九冶集团有限公司 | Road construction detection system and method |
-
2021
- 2021-07-23 CN CN202110840987.8A patent/CN113610283B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2003176693A (en) * | 2001-12-10 | 2003-06-27 | Osaka Gas Co Ltd | Method and system for planning construction work using road |
CN108629490A (en) * | 2018-04-13 | 2018-10-09 | 北京寄云鼎城科技有限公司 | A kind of road maintenance scheme computational methods and system |
CN109271663A (en) * | 2018-08-01 | 2019-01-25 | 北京航空航天大学 | A kind of urban road maintenance policy optimization method based on main body emulation |
CN110070720A (en) * | 2019-05-15 | 2019-07-30 | 武汉科技大学 | Improve the calculation method of intersection road occupying construction section capacity model-fitting degree |
CN110888358A (en) * | 2019-11-25 | 2020-03-17 | 中国十九冶集团有限公司 | Road construction detection system and method |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115115328A (en) * | 2022-05-12 | 2022-09-27 | 上海市城市建设设计研究总院(集团)有限公司 | Intelligent examination and approval method for lane occupation construction based on LBS data |
CN115472007A (en) * | 2022-08-29 | 2022-12-13 | 北京掌行通信息技术有限公司 | Vehicle queuing length prediction method and device, storage medium and terminal |
CN115472007B (en) * | 2022-08-29 | 2024-04-12 | 北京掌行通信息技术有限公司 | Vehicle queuing length prediction method and device, storage medium and terminal |
CN116882709A (en) * | 2023-09-05 | 2023-10-13 | 深圳市睿拓新科技有限公司 | Road construction intelligent supervision method based on big data analysis and storage medium |
CN116882709B (en) * | 2023-09-05 | 2023-12-01 | 深圳市睿拓新科技有限公司 | Road construction intelligent supervision method based on big data analysis and storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN113610283B (en) | 2024-04-09 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN113610283A (en) | Highway road occupation construction plan optimization method, device, medium and product based on simulation evaluation | |
JP6045846B2 (en) | Traffic accident occurrence prediction device, method and program | |
Donnell et al. | A framework for estimating the safety effects of roadway lighting at intersections | |
Habtemichael et al. | Safety and operational benefits of variable speed limits under different traffic conditions and driver compliance levels | |
OBrien et al. | Micro-simulation of single-lane traffic to identify critical loading conditions for long-span bridges | |
Cao et al. | A platoon regulation algorithm to improve the traffic performance of highway work zones | |
CN106971540B (en) | The behaviorist risk quantization method of driver under freeway tunnel environment | |
Yin et al. | A simulation‐based reliability assessment approach for congested transit network | |
Zhou et al. | Traffic control technologies without interruption for component replacement of long-span bridges using microsimulation and site-specific data | |
Kodi | Evaluating the mobility and safety benefits of adaptive signal control technology (ASCT) | |
CN116596380A (en) | Optimization determination method, platform, equipment and medium for expressway construction organization scheme and management and control scheme | |
Mathew et al. | Modeling and assessing the influence of connected and automated vehicle penetration rates on urban arterial road operational performance | |
Harten et al. | Evaluation of traffic mitigation strategies for pre-hurricane emergency evacuations | |
Chow et al. | TOPL: Tools for operational planning of transportation networks | |
Troutbeck | The performance of uncontrolled merges using a limited priority process | |
Habtemichael et al. | Parameters of time headway distribution as performance indicators of motorway traffic and driver behavior: comparison of good and adverse weather conditions | |
Das et al. | Characteristics of urban arterial crashes relative to proximity to intersections and injury severity | |
Wang et al. | Research on the Impact of Road Construction on Traffic Congestion | |
Sala et al. | Lane‐changing and freeway capacity: A Bayesian inference stochastic model | |
Suleiman et al. | Improvement of highway work zone performance by traffic management | |
Hashim et al. | Heavy vehicles speed profiling on urban expressway: The case of federal highway | |
Cottrell | Estimating the probability of freeway congestion recurrence | |
Wu et al. | Different types of high-occupancy vehicle access control: comparative analysis of empirical capacities | |
Lin et al. | Capacities of Exclusive Bus Lanes with On-Line Linear Bus Stops on Urban Arterials | |
Islam et al. | Full Bayesian mixed-effect intervention model for before–after speed data analysis |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |