CN113704994B - Urban traffic lifeline construction method and system in extreme stormy weather - Google Patents
Urban traffic lifeline construction method and system in extreme stormy weather Download PDFInfo
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Abstract
The application relates to a method and a system for constructing an urban traffic life line in extreme stormy weather, wherein the method comprises the following steps: carrying out rainstorm waterlogging simulation; removing waterlogging invalid road sections, and carrying out traffic simulation on the reserved effective road network to obtain severely congested road sections; according to the traffic accident data, analyzing black spots of urban road accidents, and obtaining a high-risk road section; combining the results of storm waterlogging simulation, traffic simulation and urban road accident black spot analysis, and identifying an initial traffic life line set; judging whether the traffic life line set meets the expected requirement, if so, outputting the urban traffic life line set in extreme stormwater weather, otherwise, perfecting the water drainage waterlogging prevention facility with the aim of recovering the use function of part of the invalid road sections, and re-identifying the corrected traffic life line set until the corrected traffic life line set meets the requirement. The method and the system are beneficial to identifying and perfecting the life line of the urban traffic and improving the disaster resistance capability of the urban traffic in extreme stormwater weather.
Description
Technical Field
The application belongs to the technical field of disaster prevention and reduction, and particularly relates to a method and a system for constructing an urban traffic life line in extreme heavy rain weather.
Background
With the advancement of global climate change and urbanization, the extreme natural disasters of many cities are increasingly severe, and the intensity and frequency of extreme storm events are obviously increased. Urban waterlogging disasters caused by extreme stormy weather can cause damage and even paralysis of a traffic system, influence urban traffic management and urban normal living order, cause property loss and threaten life safety. The urban traffic system penetrates through the whole city, is an important facility for conveying emergency rescue workers and materials to disaster areas, is a traffic life line for disaster area rescue and along-road traffic restoration, and can cause more tragic loss due to rescue delay caused by traffic blockage.
At present, urban waterlogging prevention and control and traffic network planning are respectively and independently carried out, and a interdisciplinary overall coordination process is lacked, so that the running functions of an urban road traffic system and a drainage waterlogging prevention system are difficult to reach the optimal. Coupling analysis of urban waterlogging simulation and urban traffic simulation under the extreme rainstorm working condition at the present stage has not yet had practical results. Meanwhile, the quantitative planning and construction work of the actual urban traffic life line are less. Therefore, in order to enhance the traffic toughness of cities in response to extreme storms and inland inundations, it is necessary to provide a method for identifying and perfecting urban traffic lifelines in extreme storms.
Disclosure of Invention
The application aims to provide a method and a system for constructing an urban traffic life line in extreme stormwater weather, which are beneficial to identifying and perfecting the urban traffic life line and improving the disaster resistance capability of the urban traffic in extreme stormwater weather.
In order to achieve the above purpose, the application adopts the following technical scheme: a construction method of an urban traffic life line in extreme stormy weather comprises the following steps:
s1, carrying out rainstorm waterlogging simulation on a selected city range based on city drainage waterlogging prevention facilities;
s2, removing a failure road section with the maximum ponding depth exceeding a set threshold according to the result of the rainstorm waterlogging simulation, and carrying out traffic simulation on the reserved effective road network to obtain a severely jammed road section;
s3, analyzing urban road accident black points according to the traffic accident data, and obtaining a high-risk road section easy to generate traffic accidents;
s4, combining the results of the rainstorm waterlogging simulation, the traffic simulation and the urban road accident black spot analysis, removing the waterlogging failure road sections, the serious congestion road sections and the high-risk road sections, and identifying an initial traffic life line set in the rest road network;
s5, judging whether the traffic life line set meets the expected requirement, outputting the urban traffic life line set in the extreme stormwater weather if the traffic life line set meets the expected requirement, otherwise, combining with urban drainage waterlogging prevention planning, taking the use function of the recovery part of the invalid road sections as a target, perfecting drainage waterlogging prevention facilities, and re-executing the steps S1, S2 and S4, identifying the corrected traffic life line set until the corrected traffic life line set meets the requirement, and outputting the urban traffic life line set in the extreme stormwater weather.
Further, the step S1 specifically includes the following steps:
s101, determining the design of storm according to the waterlogging prevention and treatment standard;
s102, determining the water level of the river channel in a corresponding reproduction period according to urban drainage waterlogging prevention planning;
s103, constructing a rainstorm waterlogging model, and importing land utilization, DEM and pipe network data into the rainstorm waterlogging model and processing;
s104, generating sub-catchment areas of all inspection wells according to pipe network data, and calculating runoff coefficients of all the sub-catchment areas according to land utilization data;
s105, setting a canal roughness, a sub-drainage basin initial loss parameter and a confluence parameter;
s106, performing rainstorm waterlogging simulation through a rainstorm waterlogging model.
Further, the step S2 specifically includes the following steps:
s201, according to urban water accumulation conditions simulated by rainstorm and waterlogging, acquiring road sections and intersections with maximum water accumulation depth exceeding a set threshold value, and determining the closing time of the water accumulation road sections;
s202, constructing an urban road network, and eliminating waterlogging failure road sections;
s203, distributing initial traffic flow according to actual travel data of the city;
s204, carrying out traffic simulation by combining signal intersection set signal timing;
s205, obtaining the severely congested road sections by taking the average travel speed of the road sections as an index to form a severely congested road section set.
Further, the threshold value was set to 30 cm.
Further, in the step S3, urban traffic accident data of about 5 years are obtained, accident occurrence places and occurrence times are counted, a buffer zone with a certain width is established for a space sub-road section, and if the accident point falls in the buffer zone, namely, the distance from the accident point to a road network is smaller than the range of the buffer zone, and the occurrence time of the accident point is within the time range of the space sub-road section, the accident point is matched into the space sub-road section; if the distance from the accident point to the road network is larger than the range of the buffer area, the data which deviate too far are removed, then the accident points in all the buffer areas are projected onto the road network, and a high-risk road section which is easy to generate traffic accidents is generated through a kernel density estimation method, so that a high-risk road section set is formed.
Further, in the step S4, according to the results of the rainstorm waterlogging simulation, the traffic simulation and the urban road accident black spot analysis, the waterlogging failure road section, the serious congestion road section and the high risk road section are removed from the urban road network model, and the initial route set meeting the urban traffic life line requirement is identified in the rest road network on the basis of the high priority of the road grade, the good priority of the location condition and the less priority of the route turning.
Further, in the step S5, based on the initial route set of the traffic life line and the failed road network, a road with a partial recovery function of the failed road network is selected to be a more complete traffic life line as an expected recovery road; and (3) combining urban drainage and waterlogging prevention planning, perfecting drainage and waterlogging prevention facilities and re-executing the steps S1, S2 and S4 to identify a corrected traffic life line set aiming at preventing the expected recovery road from losing effect in the rainstorm waterlogging simulation.
Further, judging whether the corrected traffic life line set contains an expected recovery road and an initial set, if so, outputting the urban traffic life line set in extreme stormwater weather, otherwise, executing the step S5 again on the basis until the corrected traffic life line set meets the requirement.
The application also provides an urban traffic lifeline construction system in extreme stormwater, which comprises a memory, a processor and computer program instructions stored on the memory and capable of being executed by the processor, wherein the computer program instructions can realize the method steps when the processor executes the computer program instructions.
Compared with the prior art, the application has the following beneficial effects: the urban rainstorm waterlogging simulation is combined with the traffic simulation, so that urban traffic life lines are identified and perfected, the construction time sequence of the drainage waterlogging prevention facilities is guided, the running functions of an urban road traffic system and the drainage waterlogging prevention system are optimized, the disaster resistance and the transformation of urban traffic in extreme rainstorm weather are ensured, and the urban toughness is improved.
Drawings
FIG. 1 is a flow chart of a method implementation of an embodiment of the present application;
FIG. 2 is a flow chart of an implementation of a rainstorm waterlogging simulation in an embodiment of the application;
FIG. 3 is a flow chart of an implementation of traffic simulation in an embodiment of the application;
fig. 4 is a flowchart of an implementation of black spot analysis of a road accident in an embodiment of the present application.
Detailed Description
The application will be further described with reference to the accompanying drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present application. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
As shown in fig. 1, the embodiment provides a method for constructing an urban traffic lifeline in extreme stormy weather, which comprises the following steps:
s1, carrying out rainstorm waterlogging simulation on a selected city range based on city drainage waterlogging prevention facilities;
s2, removing a failure road section with the maximum ponding depth exceeding a set threshold according to the result of the rainstorm waterlogging simulation, and carrying out traffic simulation on the reserved effective road network to obtain a severely jammed road section;
s3, analyzing urban road accident black points according to the traffic accident data, and obtaining a high-risk road section easy to generate traffic accidents;
s4, combining the results of the rainstorm waterlogging simulation, the traffic simulation and the urban road accident black spot analysis, removing the waterlogging failure road sections, the serious congestion road sections and the high-risk road sections, and identifying an initial traffic life line set in the rest road network;
s5, judging whether the traffic life line set meets the expected requirement, outputting the urban traffic life line set in the extreme stormwater weather if the traffic life line set meets the expected requirement, otherwise, combining with urban drainage waterlogging prevention planning, taking the use function of the recovery part of the invalid road sections as a target, perfecting drainage waterlogging prevention facilities, and re-executing the steps S1, S2 and S4, identifying the corrected traffic life line set until the corrected traffic life line set meets the requirement, and outputting the urban traffic life line set in the extreme stormwater weather.
As shown in fig. 2, the step S1 specifically includes the following steps:
s101, determining a waterlogging prevention and treatment standard according to GB 51222-2017 technical Specification for preventing and treating waterlogging in towns, and determining the design of heavy rain on the basis of the waterlogging prevention and treatment standard.
S102, determining the water level of the river channel in the corresponding reproduction period according to the urban drainage waterlogging prevention plan.
S103, building a rainstorm waterlogging model, and importing land utilization, DEM and pipe network data into the rainstorm waterlogging model and processing.
S104, generating sub-catchment areas of the inspection wells according to the pipe network data, and calculating runoff coefficients of the sub-catchment areas according to the land utilization data.
S105, setting a canal roughness, a sub-drainage basin initial loss parameter and a confluence parameter.
S106, performing rainstorm waterlogging simulation through a rainstorm waterlogging model.
As shown in fig. 3, the step S2 specifically includes the following steps:
s201, according to urban water accumulation conditions simulated by rainstorm and waterlogging, road sections and intersections with maximum water accumulation depth exceeding a set threshold are obtained, and the closing time of the water accumulation road sections is determined. In this embodiment, the threshold value is set to 30 cm.
S202, constructing an urban road network, and eliminating waterlogging failure road sections.
S203, distributing initial traffic flow according to the actual travel demand survey data of the city.
S204, setting signal timing in combination with the signal intersection, and carrying out traffic simulation.
S205, obtaining a severely congested road section by taking the average travel speed of the road section as an index according to GB/T29107 of road traffic information service traffic condition description to form a severely congested road section set.
In step S3, urban traffic accident data of about 5 years are obtained, accident occurrence places and occurrence time are counted, a buffer zone with a certain width is established for a space sub-road section, and if the accident point falls in the buffer zone, namely, the distance from the accident point to a road network is smaller than the range of the buffer zone, and the accident point occurrence time is within the time range of the space sub-road section, the accident point is matched into the space sub-road section; if the distance from the accident point to the road network is larger than the range of the buffer area, the data which deviate too far are removed, then the accident points in all the buffer areas are projected onto the road network, and a high-risk road section which is easy to generate traffic accidents is generated through a kernel density estimation method, so that a high-risk road section set is formed.
In the step S4, according to the results of the rainstorm waterlogging simulation, the traffic simulation and the urban road accident black spot analysis, the waterlogging failure road section, the serious congestion road section and the high risk road section are eliminated in the urban road network model, and the initial route set meeting the urban traffic life line requirement is identified in the rest road network on the basis of the high priority of the road grade, the good priority of the location condition and the less priority of the route turning.
In the step S5, based on the initial route set of the traffic life line and the failure road network, a road with a partial recovery function of the failure road network is selected to be a more complete traffic life line as an expected recovery road; and (3) combining urban drainage and waterlogging prevention planning, perfecting drainage and waterlogging prevention facilities and re-executing the steps S1, S2 and S4 to identify a corrected traffic life line set aiming at preventing the expected recovery road from losing effect in the rainstorm waterlogging simulation.
And judging whether the corrected traffic life line set contains an expected recovery road and an initial set, if so, outputting the urban traffic life line set in extreme stormwater weather, otherwise, executing the step S5 again on the basis until the corrected traffic life line set meets the requirement.
The embodiment also provides an urban traffic lifeline construction system in extreme stormwater, which comprises a memory, a processor and computer program instructions stored on the memory and capable of being executed by the processor, wherein the processor can realize the method steps when executing the computer program instructions.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present application, and is not intended to limit the application in any way, and any person skilled in the art may make modifications or alterations to the disclosed technical content to the equivalent embodiments. However, any simple modification, equivalent variation and variation of the above embodiments according to the technical substance of the present application still fall within the protection scope of the technical solution of the present application.
Claims (6)
1. The urban traffic life line construction method in extreme stormy weather is characterized by comprising the following steps:
s1, carrying out rainstorm waterlogging simulation on a selected city range based on city drainage waterlogging prevention facilities;
s2, removing a failure road section with the maximum ponding depth exceeding a set threshold according to the result of the rainstorm waterlogging simulation, and carrying out traffic simulation on the reserved effective road network to obtain a severely jammed road section;
s3, analyzing urban road accident black points according to the traffic accident data, and obtaining a high-risk road section easy to generate traffic accidents;
s4, combining the results of the rainstorm waterlogging simulation, the traffic simulation and the urban road accident black spot analysis, removing the waterlogging failure road sections, the serious congestion road sections and the high-risk road sections, and identifying traffic life line sets in the rest road network;
s5, judging whether the traffic life line set meets the expected requirement, outputting the urban traffic life line set in the extreme stormwater weather if the traffic life line set meets the expected requirement, otherwise, combining with urban drainage waterlogging prevention planning, aiming at recovering the use function of part of the invalid road sections, perfecting drainage waterlogging prevention facilities, re-executing the steps S1, S2 and S4, identifying the corrected traffic life line set until the corrected traffic life line set meets the requirement, and outputting the urban traffic life line set in the extreme stormwater weather;
in the step S4, according to the results of the rainstorm waterlogging simulation, the traffic simulation and the urban road accident black spot analysis, the waterlogging invalid road section, the serious congestion road section and the high risk road section are removed from the urban road network model, and the initial route set meeting the urban traffic life line requirement is identified in the rest road network on the basis of the high priority of the road grade, the good priority of the location condition and the less priority of the route turning;
in the step S5, based on the initial route set of the traffic life line and the failure road network, a road with a partial recovery function of the failure road network is selected to be a more complete traffic life line as an expected recovery road; combining urban drainage and waterlogging prevention planning, perfecting drainage and waterlogging prevention facilities and re-executing the steps S1, S2 and S4 to identify a corrected traffic life line set aiming at preventing expected recovery roads from losing effectiveness in rainstorm waterlogging simulation; and judging whether the corrected traffic life line set contains an expected recovery road and an initial route set, if so, outputting the urban traffic life line set in extreme stormwater weather, otherwise, executing the step S5 again on the basis until the corrected traffic life line set meets the requirement.
2. The method for constructing an urban traffic lifeline in extreme stormwater according to claim 1, wherein the step S1 comprises the steps of:
s101, determining the design of storm according to the waterlogging prevention and treatment standard;
s102, determining the water level of the river channel in a corresponding reproduction period according to urban drainage waterlogging prevention planning;
s103, constructing a rainstorm waterlogging model, and importing land utilization, DEM and pipe network data into the rainstorm waterlogging model and processing;
s104, generating sub-catchment areas of all inspection wells according to pipe network data, and calculating runoff coefficients of all the sub-catchment areas according to land utilization data;
s105, setting a canal roughness, a sub-drainage basin initial loss parameter and a confluence parameter;
s106, performing rainstorm waterlogging simulation through a rainstorm waterlogging model.
3. The method for constructing an urban traffic lifeline in extreme stormwater according to claim 1, wherein the step S2 comprises the steps of:
s201, according to urban water accumulation conditions simulated by rainstorm and waterlogging, acquiring road sections and intersections with maximum water accumulation depth exceeding a set threshold value, and determining the closing time of the water accumulation road sections;
s202, constructing an urban road network, and eliminating waterlogging failure road sections;
s203, distributing initial traffic flow according to actual travel data of the city;
s204, carrying out traffic simulation by combining signal intersection set signal timing;
s205, obtaining the severely congested road sections by taking the average travel speed of the road sections as an index to form a severely congested road section set.
4. The method for constructing an urban traffic lifeline in extreme stormwater according to claim 1, wherein the threshold value is set to 30 cm.
5. The method for constructing urban traffic life line in extreme stormwater weather according to claim 1, wherein in step S3, urban traffic accident data of about 5 years is obtained, the accident occurrence place and occurrence time are counted, a buffer zone with a certain width is established for a space sub-road section, and if the accident point falls in the buffer zone, i.e. the distance from the accident point to the road network is smaller than the buffer zone range, and the occurrence time of the accident point is within the time range of the space sub-road section, the accident point is matched into the space sub-road section; if the distance from the accident point to the road network is larger than the range of the buffer area, the data which deviate too far are removed, then the accident points in all the buffer areas are projected onto the road network, and a high-risk road section which is easy to generate traffic accidents is generated through a kernel density estimation method, so that a high-risk road section set is formed.
6. An urban traffic lifeline construction system in extreme stormwater weather, comprising a memory, a processor and computer program instructions stored on the memory and executable by the processor, which, when executed by the processor, are able to carry out the method steps according to any one of claims 1-5.
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| CN115472003B (en) * | 2022-07-27 | 2024-04-05 | 山西西电信息技术研究院有限公司 | Urban traffic supervision system and method based on multi-source information |
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