CN113610283B - Highway occupying road construction plan optimization method, equipment, medium and product based on simulation evaluation - Google Patents
Highway occupying road construction plan optimization method, equipment, medium and product based on simulation evaluation Download PDFInfo
- Publication number
- CN113610283B CN113610283B CN202110840987.8A CN202110840987A CN113610283B CN 113610283 B CN113610283 B CN 113610283B CN 202110840987 A CN202110840987 A CN 202110840987A CN 113610283 B CN113610283 B CN 113610283B
- Authority
- CN
- China
- Prior art keywords
- construction
- road
- scheme
- occupation
- 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.)
- Active
Links
- 238000010276 construction Methods 0.000 title claims abstract description 252
- 238000004088 simulation Methods 0.000 title claims abstract description 66
- 238000011156 evaluation Methods 0.000 title claims abstract description 28
- 238000005457 optimization Methods 0.000 title claims abstract description 27
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 10
- 238000004364 calculation method Methods 0.000 claims abstract description 8
- 238000011144 upstream manufacturing Methods 0.000 claims description 31
- 238000004590 computer program Methods 0.000 claims description 8
- 238000012216 screening Methods 0.000 claims description 6
- 230000006399 behavior Effects 0.000 claims description 3
- 230000009191 jumping Effects 0.000 claims description 3
- 230000008520 organization Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000009430 construction management Methods 0.000 description 2
- 238000011157 data evaluation Methods 0.000 description 2
- 238000013524 data verification Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 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
- 230000006978 adaptation Effects 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
- 238000012423 maintenance Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
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 highway road occupation construction plan optimization method based on simulation evaluation, which comprises the following steps: establishing a road traffic simulation model of a highway section where construction is located; acquiring the data of a road occupation construction scheme of the construction time to be arranged and the data required by the operation of a model; if the initial road occupation construction plan does not exist, the travel demand data and the road occupation construction schemes are input into an optimal execution time period calculation model, the optimal execution time period of the road occupation construction schemes is obtained, and the initial road occupation construction plan is formulated; 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 track occupation construction plan and the track occupation construction scheme into a track occupation construction plan optimization algorithm model to form an optimized track occupation construction plan. The invention realizes the optimization of the expressway road occupation construction plan, assists in reducing the traffic influence of the road occupation construction scheme, and ensures the smooth and safe traffic operation of the expressway.
Description
Technical Field
The invention relates to the technical field of traffic simulation application, in particular to a highway road occupation construction plan optimization method, equipment, medium and product based on simulation evaluation.
Background
In the current critical period of positive traffic, the expressway often faces construction requirements such as maintenance, reconstruction and expansion, road construction projects and the like, and the expressway construction projects usually occupy one to a plurality of lanes, so that the traffic capacity of expressway sections is reduced and the safety risk is increased. On highways with larger flow or higher trucks occupation, the unreasonable road occupation construction plan is extremely easy to cause traffic jams, casualties and other traffic accidents with large area, the construction efficiency is reduced, and great challenges are brought to traffic smoothness, safety and operation of road sections. Thus, highway 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 the expressway road occupation construction plan optimization method based on simulation evaluation, which realizes the expressway road occupation construction plan optimization by analyzing and judging traffic demand data and construction organization data and evaluating and verifying traffic simulation data and combining a microscopic traffic simulation technology to assist in reducing the traffic influence of a road occupation construction scheme.
The invention provides a highway road occupation construction plan optimization method based on simulation evaluation, which comprises the following steps:
establishing a model, and establishing a road traffic simulation model of a highway section where construction is located;
acquiring data, namely 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 road traffic simulation model;
if the initial occupied road construction plan is not available, the travel demand data and the occupied road construction schemes are input into an optimal execution time period calculation model, the optimal execution time periods of the occupied road construction schemes are obtained, and the initial occupied road construction plan is formulated, so that the occupied road construction schemes are constructed in the optimal execution time periods;
obtaining simulation evaluation data, inputting the data required by the initial road occupation construction plan, the road occupation construction scheme and the operation into the road traffic simulation model and operating the road traffic simulation model to obtain the simulation evaluation data;
and forming an optimized track occupation construction plan, and inputting the simulation evaluation data, the initial track occupation construction plan and the track occupation construction scheme into a track occupation construction plan optimization algorithm model to form the optimized track occupation construction plan.
Further, the track occupation construction scheme data comprise construction positions, construction tracks, construction duration and construction operation area arrangement; the data required by the operation of the road traffic simulation model comprise travel control scheme data, travel demand data and vehicle behavior data.
Further, the best execution period calculation model includes:
screening high-speed sections, and screening all high-speed sections influenced by each road occupation construction scheme according to the enclosing range of the road occupation construction scheme and the high-speed intercommunication;
and calculating the construction execution time period with the lowest average traffic flow of each occupying-road construction scheme by using the construction duration time of the construction scheme as a window through a sliding window algorithm, and taking the construction execution time period as the optimal execution time period.
Further, the lane occupation construction plan optimization algorithm model includes:
obtaining the maximum queuing length, analyzing queuing conditions caused by each road occupation construction scheme through the simulation evaluation data, and obtaining the maximum queuing length of each road occupation construction scheme;
selecting a target track occupation construction scheme, and selecting the track occupation construction scheme which is not subjected to scheduling adjustment as the target track occupation construction scheme according to the maximum queuing length of the track occupation construction scheme and the sequence from long to short;
judging congestion, judging whether the maximum queuing length of the target track occupation construction scheme exceeds a congestion threshold value, if not, completing the optimization of the track occupation construction plan, and if so, entering the next step;
selecting an upstream channel occupying construction scheme, judging whether a channel occupying construction scheme with the maximum queuing length lower than a threshold exists upstream of the target channel occupying construction scheme, if not, jumping to the step of selecting the target channel occupying construction scheme, and adjusting the next channel occupying construction scheme; if so, the scheme is used as an upstream road occupation construction scheme;
judging the congestion range, judging whether the congestion range of the target track occupation construction scheme extends to the position of the upstream track occupation construction scheme, if so, adopting a scheme staggering mode to adjust, and if not, adopting an upstream current limiting mode to adjust.
The method comprises the steps of establishing an initial channel occupation construction plan step, and calculating the optimal execution time period of the upstream channel occupation construction plan according to a scheme staggering mode.
Further, the adjusting is performed by adopting an upstream current limiting mode, specifically, if the upstream channel occupying construction scheme has a congestion phenomenon, in the construction allowed time, the construction time is adjusted to the most congestion time period of the target channel occupying construction scheme, and the congestion degree of the target channel occupying 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 assessment.
A computer-readable storage medium having stored thereon a computer program for execution by a processor of a highway occupancy construction plan optimization method based on a simulation assessment.
A computer program product comprising computer programs/instructions which when executed by a processor implement a highway occupancy construction plan optimization method based on simulation assessment.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, through analysis, study and judgment on traffic demand data and construction organization data and data evaluation and verification of traffic simulation, quantitative evaluation on construction influence is realized, a more optimal road occupation construction plan is provided, and the traffic influence of a road occupation construction scheme is reduced in an auxiliary manner; the problems that the current expressway construction scheduling evaluation is difficult and the management mode is rough are solved; scientific and stable decision support is provided for the adjustment of the daily road occupation construction plan of the expressway, and the decision risk is reduced; the auxiliary expressway construction management is more refined and controllable.
The foregoing description is only an overview of the present invention, and is intended to provide a better understanding of the present invention, as it is embodied in the following description, with reference to the preferred embodiments of the present invention and the accompanying drawings. Specific embodiments of the present invention are 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 embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention. In the drawings:
FIG. 1 is a flow chart of a highway road occupation construction plan optimizing method based on simulation evaluation;
FIG. 2 is a flow chart of the steps of making an initial track-occupying construction plan according to the present invention;
FIG. 3 is a flow chart of steps for forming a new occupying-road 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 detailed description, wherein it is to be understood that, on the premise of no conflict, the following embodiments or technical features may be arbitrarily combined to form new embodiments.
The highway road occupation construction plan optimization method 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, and establishing a standardized traffic simulation model by the road traffic simulation model according to the principle of refinement, accuracy, flow, standardization, controllability and expandability of the traffic simulation model, wherein the road traffic simulation model realizes the highway traffic simulation based on the electronic traffic simulation.
Establishing a standardized traffic simulation model according to an actual road and static traffic facilities of a highway section where construction is located, and obtaining a first simulation running model; the actual road and static traffic facilities of the expressway section where the construction is located comprise one or more of road alignment, flat and longitudinal, number of lanes, traffic marking and toll collection channels.
And calibrating and verifying the first simulation operation model according to the historical section flow data and the historical monitoring record of the expressway charging system of the expressway section where the construction is located, performing iterative optimization until verification conditions are met, obtaining a second simulation operation model, and taking the second simulation operation model as a road traffic simulation model.
And acquiring data, and acquiring the road occupation construction scheme data of the construction time to be arranged and the data required by the operation of the road traffic simulation model. The track occupation construction scheme data comprise construction positions, construction tracks, construction duration and construction operation area arrangement. The construction type comprises fixed construction and mobile construction. The data required for the operation of the road traffic simulation model comprise travel control scheme model data, travel demand data and vehicle behavior model data.
If the initial track occupation construction plan is not available, the travel demand data and the track occupation construction schemes are input into an optimal execution time period calculation model, the optimal execution time periods of the track occupation construction schemes are obtained, and the initial track occupation construction plan is formulated, so that the track occupation construction schemes are constructed in the optimal execution time periods. Specifically, as shown in fig. 2, the method includes:
screening the high-speed sections, and screening all the high-speed sections influenced by the road occupation construction scheme according to the enclosing and shielding range of the road occupation construction scheme. Specifically, all high-speed sections influenced by the road occupation construction scheme are screened out through high-speed intercommunication within the enclosing and shielding range of the road occupation construction scheme. The expressway is a junction between an expressway and other roads, and is generally in an overpass form; on the road of the high-speed trunk, from one high-speed intercommunication, the high-speed trunk part reaching the adjacent intercommunications is called a section of high-speed segmentation.
And calculating the construction execution time period with the lowest average traffic flow of each occupying-road construction scheme by using the construction duration time of the construction scheme as a window through a sliding window algorithm, and taking the construction execution time period as the optimal execution time period.
The sliding window algorithm means that all time periods conforming to the construction duration are divided in a sliding window mode in the construction allowed time range of the road occupation construction scheme. Such as: the allowable construction time range is 0 to 8 points, the construction duration is 4 hours, as shown in fig. 4, the construction execution time period can 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 in the allowable construction time range can be used as the construction execution time, for example, 1:25 to 5:25, but due to the lower accuracy requirement of the current actual construction on the execution time, the whole point hour is usually used as the construction time period.
And then, respectively 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 a road traffic simulation model and operating the road traffic simulation model to acquire the simulation evaluation data.
And (3) forming an optimized track occupation construction plan, and inputting simulation evaluation data, the initial track occupation construction plan and the track occupation construction scheme into a track occupation construction plan optimization algorithm model to form the optimized track occupation construction plan. Specifically, as shown in fig. 3, the method includes:
and obtaining the maximum queuing length, analyzing queuing conditions caused by each road occupation construction scheme through simulation evaluation data, and obtaining the maximum queuing length of each road occupation construction scheme. Such as: the current expressway has 2 occupied road construction schemes, and the queuing conditions caused by the 2 occupied road construction schemes are analyzed through simulation evaluation data to obtain the maximum queuing lengths of the 2 occupied road construction schemes.
Selecting a target track occupation construction scheme, and selecting the track occupation construction scheme which is not subjected to scheduling adjustment as the target track occupation construction scheme according to the maximum queuing length of the track occupation construction scheme and the sequence from long to short;
judging congestion, judging whether the maximum queuing length of the target track occupation construction scheme exceeds a congestion threshold value, wherein the congestion threshold value is set to be 3 kilometers or 5 kilometers, and can be adjusted according to policies of various places, if the congestion threshold value is not exceeded, completing the optimization of the track occupation construction plan, and if the congestion threshold value is exceeded, entering the next step;
selecting an upstream channel occupying construction scheme, judging whether a channel occupying construction scheme with the maximum queuing length lower than a threshold exists upstream of the target channel occupying construction scheme, if not, jumping to the step of selecting the target channel occupying construction scheme, and adjusting the next channel occupying construction scheme; if so, the scheme is used as an upstream road occupation construction scheme;
judging the congestion range, judging whether the congestion range of the target track occupation construction scheme extends to the position of the upstream track occupation construction scheme, if so, adopting a scheme staggering mode to adjust, and if not, adopting an upstream current limiting mode to adjust.
The scheme staggering mode is adopted to adjust, specifically, the peak congestion time period of the maximum congestion of the target track occupation construction scheme is removed from the allowable construction time period of the upstream track occupation construction scheme, such as: and removing 9 to 12 points from the allowed construction time period of the upstream road occupation construction scheme by the peak congestion time period of the maximum congestion occurrence of the target road occupation construction scheme from 9 to 12 points, and recalculating the optimal execution time period of the upstream road occupation construction scheme as a new road occupation construction scheme by the optimal execution time period calculation model for making the initial road occupation construction scheme step.
The upstream current limiting mode is adopted to adjust, specifically, if the upstream channel occupying construction scheme has a congestion phenomenon, the construction time is adjusted to the most congestion time period of the target channel occupying construction scheme as far as possible within the construction allowed time, for example: the construction allowable time of the upstream road occupation construction scheme is 6-12 points, the most congestion time period of the target road occupation construction scheme is 9-12 points, and then the construction time is adjusted to 9-12 points. By limiting the upstream flow, the congestion degree of the target track occupation construction scheme is reduced.
An electronic device, comprising: the system includes 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 including means for performing a highway occupancy construction plan optimization method based on a simulation assessment.
A computer-readable storage medium having stored thereon a computer program for execution by a processor of a highway occupancy construction plan optimization method based on a simulation assessment.
A computer program product comprising computer programs/instructions which when executed by a processor implement a highway occupancy construction plan optimization method based on simulation assessment.
According to the invention, through analysis, study and judgment on traffic demand data and construction organization data and data evaluation and verification of traffic simulation, quantitative evaluation on construction influence is realized, a more optimal road occupation construction plan is provided, and the traffic influence of a road occupation construction scheme is reduced in an auxiliary manner; the problems that the current expressway construction scheduling evaluation is difficult and the management mode is rough are solved; scientific and stable decision support is provided for the adjustment of the daily road occupation construction plan of the expressway, and the decision risk is reduced; the auxiliary expressway construction management is more refined and controllable.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way; those skilled in the art can smoothly practice the invention as shown in the drawings and described above; however, those skilled in the art will appreciate that many modifications, adaptations, and variations of the present invention are possible in light of the above teachings without departing from the scope of the invention; meanwhile, any equivalent changes, modifications and evolution of the above embodiments according to the essential technology of the present invention still fall within the scope of the present invention.
Claims (5)
1. The highway road occupation construction plan optimization method based on simulation evaluation is characterized by comprising the following steps of:
establishing a model, and establishing a road traffic simulation model of a highway section where construction is located;
acquiring data, namely 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 road traffic simulation model;
if the initial occupied road construction plan is not available, the travel demand data and the occupied road construction schemes are input into an optimal execution time period calculation model, the optimal execution time periods of the occupied road construction schemes are obtained, and the initial occupied road construction plan is formulated, so that the occupied road construction schemes are constructed in the optimal execution time periods;
obtaining simulation evaluation data, inputting the data required by the initial road occupation construction plan, the road occupation construction scheme and the operation into the road traffic simulation model and operating the road traffic simulation model to obtain the simulation evaluation data;
forming an optimized track occupation construction plan, and inputting the simulation evaluation data, the initial track occupation construction plan and the track occupation construction scheme into a track occupation construction plan optimization algorithm model to form the optimized track occupation construction plan;
the lane occupation construction plan optimization algorithm model comprises the following steps:
obtaining the maximum queuing length, analyzing queuing conditions caused by each road occupation construction scheme through the simulation evaluation data, and obtaining the maximum queuing length of each road occupation construction scheme;
selecting a target track occupation construction scheme, and selecting the track occupation construction scheme which is not subjected to scheduling adjustment as the target track occupation construction scheme according to the maximum queuing length of the track occupation construction scheme and the sequence from long to short;
judging congestion, judging whether the maximum queuing length of the target track occupation construction scheme exceeds a congestion threshold value, if not, completing the optimization of the track occupation construction plan, and if so, entering the next step;
selecting an upstream channel occupying construction scheme, judging whether a channel occupying construction scheme with the maximum queuing length lower than a threshold exists upstream of the target channel occupying construction scheme, if not, jumping to the step of selecting the target channel occupying construction scheme, and adjusting the next channel occupying construction scheme; if so, the scheme is used as an upstream road occupation construction scheme;
judging the congestion range, judging whether the congestion range of the target track occupation construction scheme extends to the position of the upstream track occupation construction scheme, if so, adopting a scheme staggering mode to adjust, and if not, adopting an upstream current limiting mode to adjust;
the scheme staggering mode is adopted to adjust, namely, the peak congestion time period of the maximum congestion of the target track occupation construction scheme is removed from the allowed construction time period of the upstream track occupation construction scheme, and the optimal execution time period of the upstream track occupation construction scheme is recalculated through the optimal execution time period calculation model for making the initial track occupation construction scheme step to be used as a new track occupation construction scheme;
the adjustment is performed by adopting an upstream current limiting mode, specifically, if the upstream channel occupying construction scheme has a congestion phenomenon, the construction time is adjusted to the most congestion time period of the target channel occupying construction scheme in the construction allowable time, and the congestion degree of the target channel occupying construction scheme is slowed down by limiting the upstream flow.
2. The highway occupation construction plan optimizing method based on simulation evaluation as claimed in claim 1, wherein: the track occupation construction scheme data comprise construction positions, construction tracks, construction duration and construction operation area arrangement; the data required by the operation of the road traffic simulation model comprise travel control scheme data, travel demand data and vehicle behavior data.
3. The simulation evaluation-based highway occupation construction plan optimizing method of 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 enclosing range of the road occupation construction scheme and the high-speed intercommunication;
and calculating the construction execution time period with the lowest average traffic flow of each occupying-road construction scheme by using the construction duration time of the construction scheme as a window through a sliding window algorithm, and taking the construction execution time period as the optimal execution time period.
4. 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 the method of any of claims 1-3.
5. A computer-readable storage medium having stored thereon a computer program, characterized by: the computer program being adapted to be executed by a processor by a method according to any of claims 1-3.
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 CN113610283A (en) | 2021-11-05 |
CN113610283B true 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) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115115328B (en) * | 2022-05-12 | 2024-06-28 | 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 track occupation construction based on LBS data |
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 |
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 |
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 |
Also Published As
Publication number | Publication date |
---|---|
CN113610283A (en) | 2021-11-05 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN113610283B (en) | Highway occupying road construction plan optimization method, equipment, medium and product based on simulation evaluation | |
Enright et al. | Monte Carlo simulation of extreme traffic loading on short and medium span bridges | |
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 | |
Jamous et al. | Assessing travel time reliability implications due to roadworks on private vehicles and public transport services in urban road networks | |
CN113313357A (en) | Traffic road safety evaluation method based on Gaussian process regression analysis | |
CN111785026A (en) | Traffic diversion grading comprehensive dredging method under complex traffic condition | |
CN111626582B (en) | Urban traffic trip problem hot spot grading method and device | |
CN113920727B (en) | Prediction method and system for road congestion caused by construction | |
CN116596380A (en) | Optimization determination method, platform, equipment and medium for expressway construction organization scheme and management and control scheme | |
Zhou et al. | Traffic control technologies without interruption for component replacement of long-span bridges using microsimulation and site-specific data | |
CN117173889A (en) | Urban road multi-intersection and associated road section comprehensive evaluation method | |
CN117116062A (en) | Expressway traffic prediction method and system under construction occupation condition | |
Chow et al. | TOPL: Tools for operational planning of transportation networks | |
Yu et al. | Development of freeway and interchange safety performance functions with respect to roadway lighting: a pilot study | |
Troutbeck | The performance of uncontrolled merges using a limited priority process | |
Jirmanová et al. | Level of service of public transport operation-pilot study | |
Russo et al. | Assessing Transferability of Highway Safety Manual Crash Prediction Models to Data from Italy | |
Suleiman et al. | Improvement of highway work zone performance by traffic management | |
Badshah et al. | A videogrammetric analysis of on peak/off peak traffic density: A case of Board Bazaar Peshawar | |
CN115544599B (en) | Parameter checking and calibrating method based on traffic simulation model | |
Yu et al. | Impacts of Bus Stops on Adjacent Non-Motorized Lanes Capacity | |
CN116311973A (en) | Tramcar intersection control strategy optimization method | |
Dailey et al. | Cellular automata model for use with real freeway data | |
Dastgiri et al. | Development of Analytic Method to Determine Weaving Patterns for Safety Analysis near Freeway Interchanges with Access Management Treatments |
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 |