CN110705904A - Online traffic bearing capacity evaluation system - Google Patents
Online traffic bearing capacity evaluation system Download PDFInfo
- Publication number
- CN110705904A CN110705904A CN201910978817.9A CN201910978817A CN110705904A CN 110705904 A CN110705904 A CN 110705904A CN 201910978817 A CN201910978817 A CN 201910978817A CN 110705904 A CN110705904 A CN 110705904A
- Authority
- CN
- China
- Prior art keywords
- traffic
- module
- target
- land
- road
- 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.)
- Pending
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 112
- 230000011664 signaling Effects 0.000 claims abstract description 4
- 238000009826 distribution Methods 0.000 claims description 49
- 238000004458 analytical method Methods 0.000 claims description 22
- 238000003860 storage Methods 0.000 claims description 19
- 230000003993 interaction Effects 0.000 claims description 16
- 238000011161 development Methods 0.000 claims description 8
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000004519 manufacturing process Methods 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 4
- 238000010276 construction Methods 0.000 claims description 4
- 238000010845 search algorithm Methods 0.000 claims description 3
- 238000007689 inspection Methods 0.000 claims description 2
- 238000000034 method Methods 0.000 abstract description 9
- 238000007726 management method Methods 0.000 abstract description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000002452 interceptive effect Effects 0.000 description 2
- 238000004220 aggregation Methods 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000005553 drilling Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012854 evaluation process Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 238000005096 rolling process 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G06Q50/40—
Abstract
The invention discloses an online traffic bearing capacity evaluation system, which relates to the technical field of traffic planning, city planning and city management, and mainly comprises a cloud computing server consisting of a cloud computing traffic model and a space database, and a user side consisting of a cross-evaluation parameter input module, a matched road planning module, a land block access setting module and a traffic influence prediction display module, wherein the space database stores basic electronic maps, background OD data, road network data, road condition data, mobile phone signaling data and enterprise Internet Location Based Service (LBS) data of a plurality of regions. According to the method, big data, cloud computing and a traffic model can be organically combined, a user can complete all work from input of a planning scheme to online traffic bearing capacity evaluation only by following sequential operation of a user end system, the online traffic bearing capacity evaluation can be obviously realized with high efficiency and high precision, and the method meets the actual application requirements.
Description
Technical Field
The invention relates to the technical field of traffic planning, city planning and city management, in particular to an online traffic bearing capacity evaluation system.
Background
The urban traffic bearing capacity evaluation is a complex system two-pass. According to the characteristics of the traffic bearing capacity, the evaluation process and the fuzziness of the evaluation result, the urban traffic bearing capacity is divided into the traffic facility bearing capacity and the traffic environment bearing capacity, and an evaluation index system of the traffic bearing capacity is constructed by combining the current situation of urban traffic.
The application of multilevel fuzzy comprehensive evaluation in urban traffic bearing capacity evaluation in the prior art is to determine objective weights of evaluation indexes by means of an entropy weight method, combine the objective weights with a subjective weighting method of a fuzzy consistent matrix and provide a multilevel fuzzy comprehensive evaluation method based on combination weights.
Disclosure of Invention
The invention aims to provide an online traffic bearing capacity evaluation system, which can organically combine big data, cloud computing and a traffic model, can efficiently and accurately evaluate the online traffic bearing capacity and meets the actual application requirements.
In order to achieve the purpose, the invention provides the following scheme:
an online traffic bearing capacity evaluation system comprises a cloud computing server and a user side communicated with the cloud computing server;
a cloud computing traffic model and a spatial database are built in the cloud computing server; the spatial database stores basic electronic maps, background OD data, road network data, road condition data, mobile phone signaling data and enterprise internet LBS data of a plurality of regions; the cloud computing traffic model is a cloud data computing model developed from a bottom layer based on the spatial database and a path search algorithm;
the user side comprises a cross evaluation parameter input module, a matched road planning module, a land planning module, a plot entrance and exit setting module and a traffic influence prediction display module; the traffic influence prediction display module is provided with a target area traffic influence prediction virtual button for sending a target area traffic influence prediction signal;
the transaction evaluation parameter input module is used for inputting transaction evaluation time and transaction evaluation traffic volume and sending the transaction evaluation time and the transaction evaluation traffic volume to a spatial database in the cloud computing server for storage;
the matched road planning module is used for newly adding or changing a target path on the target area electronic map, generating a first target area electronic map and sending the first target area electronic map to the spatial database in the cloud computing server for storage;
the land planning module is used for newly adding or changing a target land block on the first target area electronic map, generating a second target area electronic map and sending the second target area electronic map to a space database in the cloud computing server for storage;
the parcel access setting module is used for opening parcel access ports on target parcels in the second target area electronic map, generating a third target area electronic map and sending the third target area electronic map to a spatial database in the cloud computing server for storage;
the cloud computing server is used for evaluating and determining a traffic influence result of a target area according to the cloud computing traffic model, target area background OD data, the transaction evaluation time, the transaction evaluation traffic volume and the third target area electronic map when receiving the target area traffic influence prediction signal, sending the traffic influence result to a traffic influence prediction display module in the user side and sending the traffic influence prediction display module to the spatial database for storage; the traffic influence result comprises traffic travel volume, traffic distribution data and traffic distribution data;
the traffic influence prediction display module is used for displaying traffic travel volume, traffic distribution data and traffic distribution data of the target area in a map form or a statistical graph form.
Optionally, the cloud computing server further includes a basic road network presetting module and a road segment-level impedance calibration module;
the basic road network presetting module is used for presetting a target region road network structure based on target region road network data in the spatial database;
the road section impedance calibration module calibrates road section impedance on the target area road network structure based on the target area road condition data in the spatial database, and generates a target area electronic map by combining a target area basic electronic map.
Optionally, the online traffic load capacity evaluation system further includes an evaluation bulletin generation module in communication with the cloud computing server; the comment briefing generation module is arranged at the user side;
the transaction evaluation briefing generation module is used for downloading a traffic influence result of a target area from the cloud computing server and generating a transaction evaluation briefing in a Word form; the commenting briefing displays the position, scale and construction scheme of the target area in a graph-text mode, and the prediction results of traffic generation attraction amount, traffic distribution and road traffic influence.
Optionally, the online traffic load capacity evaluation system further includes an evaluation scheme comparison module in communication with the cloud computing server; the cross-evaluation scheme comparison module is arranged at the user side; the cross-evaluation scheme comparison module is provided with a comparison virtual button for sending a comparison signal;
and the cloud computing server is used for calling the traffic influence results of different cross-rating schemes in the same target area from the spatial database when receiving the comparison signal, comparing and analyzing the traffic influence results to generate difference reports, and then sending the difference reports to the cross-rating scheme comparison module for reference of a user.
Optionally, the transaction evaluation parameter input module includes a transaction evaluation time input sub-module and a traffic volume prediction adjustment coefficient preset sub-module;
the cross-evaluation time input submodule comprises a background year input unit, a prediction target year input unit and a date type selection unit; the date type selection subunit comprises a working day selection virtual button and a non-working day selection virtual button;
the traffic prediction adjustment coefficient presetting submodule comprises a land development traffic adjustment coefficient presetting unit and a planning road related traffic adjustment coefficient presetting unit; the land development traffic adjusting coefficient presetting unit comprises a sunrise traffic generation and suction input subunit, an early peak traffic generation and suction input subunit and a late peak traffic generation and suction input subunit; the planning road related traffic adjustment coefficient presetting unit comprises a day related traffic input subunit, an early peak related traffic input subunit and a late peak related traffic input subunit.
Optionally, the matching road planning module includes a road planning sub-module, a road planning content gathering sub-module, and a road planning attribute display sub-module;
the road planning submodule is used for newly adding or changing a target path on the electronic map of the target area through external interaction equipment to generate a first electronic map of the target area;
the road planning content summarizing submodule is used for summarizing the number of target paths, the road type, the road grade, the road kilometer number, the road passing direction, the road passing capacity, the road speed limit number and the road lane number of each target path;
the road planning attribute display submodule is used for displaying the number of target paths and the road type, the road grade, the road kilometer number, the road passing direction, the road passing capacity, the road speed limit number and the road lane number of each target path; and displaying the color identifications of the newly added target path and the changed target path in the road planning attribute display submodule.
Optionally, the land planning module includes a first land block planning submodule, a land block building area calculating submodule, a land block base attribute display submodule, a land block motor vehicle traffic prediction submodule and a land use planning content summarizing display submodule;
the first plot planning submodule is used for newly adding or changing a target plot on the first target area electronic map through external interaction equipment to generate a second target area electronic map;
the land building area calculation submodule is used for automatically calculating the occupied area of the target land according to the data of the spatial database and the position of the target land and combining a preset volume ratio to automatically calculate the building area of the target land;
the land parcel basic attribute display submodule comprises a target land parcel name input display unit, a target land parcel occupied area display unit, a target land parcel building area display unit, a target land parcel volume rate input display unit and a land occupation property display unit; wherein, the land property input display unit comprises a plurality of land type selection subunits and each land type proportion input subunit; the land types comprise commercial land, residential land, administrative office and cultural facility; the sum of all the land occupation types is 1;
the land motor vehicle traffic prediction display module is used for displaying the traffic of a target land; the traffic volume comprises daily traffic volume, early peak traffic volume and late peak traffic volume; wherein the daily traffic volume, the early peak traffic volume, and the late peak traffic volume each comprise production volume, attraction volume, and total volume;
the land use planning content summarizing and displaying submodule is used for summarizing and displaying the number of target plots and the daily traffic volume, the early-peak traffic volume and the late-peak traffic volume of each target plot.
Optionally, the land planning module further includes a second land planning submodule and a land traffic prediction display submodule; the land planning module is also provided with a target land block traffic influence prediction virtual button for sending a target land block traffic influence prediction signal;
the second plot planning submodule is used for newly adding or changing a target plot on the electronic map of the target area through external interaction equipment to generate a fourth electronic map of the target area;
the cloud computing server is used for evaluating and determining a traffic influence result of the target parcel according to the cloud computing traffic model, background OD data of the target area, the transaction evaluation time, the transaction evaluation traffic volume and the fourth target area electronic map when receiving the traffic influence prediction signal of the target parcel, sending the traffic influence result to the parcel traffic prediction display submodule in the user side and sending the traffic influence result to the spatial database for storage; the traffic influence result comprises traffic travel volume, traffic distribution data and traffic distribution data;
the land parcel traffic prediction display submodule is used for displaying traffic volume, traffic distribution data and traffic distribution data of a target land parcel in a map form or a statistical graph form.
Optionally, the parcel entrance/exit setting module includes a parcel entrance/exit setting and displaying sub-module, a parcel entrance/exit basic attribute displaying module, an entrance/exit vehicle entrance/exit proportion input displaying sub-module, and a parcel entrance/exit setting and summarizing displaying sub-module;
the plot passageway setting and displaying submodule is used for setting a passageway on a target plot through external interaction equipment, and generating and displaying a third target area electronic map;
the land parcel gateway basic attribute display module is used for displaying the name of a target land parcel, the floor area of the target land parcel and the set number of gateways of the target land parcel;
the entrance and exit vehicle access proportion input display submodule is used for inputting and displaying the vehicle access percentage of each entrance and exit;
and the parcel access setting and summarizing display submodule is used for summarizing and displaying the number of the target parcels with the set accesses and the total number of the accesses.
Optionally, the traffic influence prediction module is further provided with an evaluation display sub-module, a traffic scheme checking sub-module and a traffic distribution parameter input sub-module;
the evaluation display sub-module comprises a map display unit and a traffic influence characteristic analysis chart display unit; the map display unit is used for displaying the traffic generation amount, the traffic distribution data and the traffic distribution data of the target area in a map form; the traffic influence characteristic analysis graph display unit is used for generating traffic in a target area in the form of a traffic influence characteristic analysis graph; the traffic influence characteristic analysis chart comprises three elements, namely saturation, flow and speed;
the traffic scheme checking submodule is used for checking whether a target land block, a target path, the transaction evaluation time and the transaction evaluation traffic volume are correct or not;
the traffic distribution parameter input submodule is used for inputting the traffic model type, the iteration times and the road resistance function.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention provides an online traffic bearing capacity evaluation system, which mainly comprises a cloud computing server consisting of a cloud computing traffic model and a spatial database, and a user side consisting of a transaction parameter input module, a matched road planning module, a land planning module, a plot entrance and exit setting module and a traffic influence prediction display module.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
Fig. 1 is a block diagram of an online traffic load-bearing capacity evaluation system according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Fig. 1 is a block diagram of an online traffic load capacity evaluation system according to an embodiment of the present invention, and as shown in fig. 1, the online traffic load capacity evaluation system according to the embodiment includes a cloud computing server and a user side communicating with the cloud computing server. The number of the user sides is multiple, and each user side is communicated with the cloud computing server uniformly.
The cloud computing server is internally provided with a cloud computing traffic model, a spatial database, a basic road network presetting module and a road section level impedance calibration module.
The space database stores basic electronic maps, background OD data, road network data, road condition data, mobile phone signaling data and enterprise internet LBS data of a plurality of regions.
The cloud computing traffic model is a cloud data computing model developed from a bottom layer based on the spatial database and a path search algorithm.
The basic road network presetting module is used for presetting a target region road network structure based on the target region road network data in the spatial database. The basic road network preset module embodies that a user does not need to build a background road network by himself, reduces workload, overcomes the defect that the workload built by the user by himself in the traditional method is very large, and hinders the important obstacle of implementing evaluation by the user.
The road section impedance calibration module calibrates road section impedance on the target area road network structure based on the target area road condition data in the spatial database, and generates a target area electronic map by combining a target area basic electronic map. The road section level impedance calibration module overcomes the defect that one level road gives one unified impedance in the prior art, greatly improves the road resistance calibration precision, improves the distribution precision and further improves the evaluation precision.
The cloud computing server provided by the embodiment completes the latest basic road network modeling of a plurality of regions in advance based on the high-precision road network data, so that a large amount of road network modeling work is saved.
The cloud computing server provided by the embodiment separately calibrates the road resistance and the impedance function for each road based on mass road condition data, so that the computing precision is obviously improved, and the workload of field investigation and model calibration is greatly reduced.
The cloud computing server provided by the embodiment can predict traffic generation amount and travel distribution by one key based on background OD data, customized calibration and land occupation scale, and can perform custom adjustment on the result.
The cloud computing traffic model provided by the embodiment follows a general and acknowledged four-stage model principle, three core functions of traffic generation calculation, traffic distribution and traffic distribution are developed, and rapid online traffic bearing capacity evaluation is realized by combining the performance advantages of cloud computing.
The user side comprises a transaction evaluation parameter input module, a matched road planning module, a land planning module, a plot entrance and exit setting module, a traffic influence prediction display module, a transaction evaluation briefing generation module and a transaction evaluation scheme comparison module. The cross-evaluation scheme comparison module is provided with a comparison virtual button for sending a comparison signal; the traffic influence prediction display module is provided with a target area traffic influence prediction virtual button for sending a target area traffic influence prediction signal.
The transaction evaluation parameter input module is used for inputting transaction evaluation time and transaction evaluation traffic volume and sending the transaction evaluation time and the transaction evaluation traffic volume to a spatial database in the cloud computing server for storage. It should be noted that if the evaluation parameters are changed, all relevant plans in the evaluation scheme will fail.
The matched road planning module is used for newly adding or changing a target path on the target area electronic map, generating a first target area electronic map and sending the first target area electronic map to the space database in the cloud computing server for storage.
And the land planning module is used for newly adding or changing a target land block on the first target area electronic map, generating a second target area electronic map and sending the second target area electronic map to the space database in the cloud computing server for storage.
And the parcel access setting module is used for opening parcel access ports on target parcels in the second target area electronic map, generating a third target area electronic map and sending the third target area electronic map to a space database in the cloud computing server for storage.
The cloud computing server is used for evaluating and determining a traffic influence result of a target area according to the cloud computing traffic model, target area background OD data, the transaction evaluation time, the transaction evaluation traffic volume and the third target area electronic map when receiving the target area traffic influence prediction signal, and sending the traffic influence result to the traffic influence prediction display module in the user side and also sending the traffic influence prediction display module to the spatial database for storage; the traffic impact results include traffic volume, traffic distribution data, and traffic distribution data.
The traffic influence prediction display module is used for displaying the traffic travel volume, traffic distribution data and traffic distribution data of the target area in a map form and/or a statistical graph form.
The invention can realize full-automatic one-key operation traffic distribution based on the cloud computing server, the distribution result is visually presented in the map and the statistical chart, and the user can visually know the influence of the planning scheme (the evaluation scheme) on the road flow, the speed, the saturation and the service level.
And the cloud computing server is used for calling the traffic influence results of different cross-rating schemes in the same target area from the spatial database when receiving the comparison signal, comparing and analyzing the traffic influence results to generate difference reports, and then sending the difference reports to the cross-rating scheme comparison module for reference of a user and sending the difference reports to the spatial database for storage.
In the cross-evaluation scheme comparison module, a cross-evaluation scheme copying and modifying function is provided, a comparison and selection cross-evaluation scheme can be quickly established, and road flow, speed, saturation and service level influences generated by different cross-evaluation schemes can be visually compared.
The transaction evaluation briefing generation module is used for downloading a traffic influence result of a target area from the cloud computing server and generating a transaction evaluation briefing in a Word form; the commenting bulletin shows the position, the scale and the planning scheme of the target area in detail in a mode of pictures and texts, and the prediction results of the traffic generation attraction amount, the traffic distribution and the road traffic influence of the target area, and also gives an important introduction to indicate that the planning scheme can generate obvious traffic influence on roads. The evaluation bulletin is downloaded to the user side from the cloud in a WORD mode, and the user can edit and optimize the evaluation bulletin.
The on-line traffic carrying capacity evaluation system provided by the embodiment is further added with functions of intersection influence analysis, public transportation influence analysis and the like in subsequent development, and customized function development can also be carried out according to local requirements.
The online traffic carrying capacity evaluation system developed based on the cloud computing traffic model provides a solution for building intelligent traffic digital capacity from data aggregation to data monitoring analysis and then to decision support.
The online traffic bearing capacity evaluation system provided by the embodiment also provides density monitoring of administrative districts and grid road networks and rolling updating of annual traffic data, and meanwhile supports updating of 'major city road network magic city monitoring reports'.
The system for evaluating the online traffic bearing capacity provided by the embodiment also provides real-time and historical road condition analysis of administrative districts, grids and roads, provides a plurality of analysis indexes of delay indexes, congestion mileage proportions and space-time congestion indexes, and also provides a multi-city comparison analysis function.
The online traffic load-bearing capacity evaluation system provided by the embodiment also provides inter-city comparison and intra-city analysis, for example, inter-city comparison: providing commute time, commute distance, time limit commute proportion and the like; urban analysis: the urban drilling analysis function is provided, and the characteristic analysis of individual trips inside the city is realized.
As another specific embodiment, the transaction evaluation parameter input module provided by the invention specifically comprises a transaction evaluation time input sub-module and a traffic volume prediction adjustment coefficient preset sub-module.
The cross-evaluation time input submodule comprises a background year input unit, a prediction target year input unit and a date type selection unit; the date type selection subunit includes a weekday selection virtual button and a non-weekday selection virtual button.
The traffic prediction adjustment coefficient presetting submodule comprises a land development traffic adjustment coefficient presetting unit and a planning road related traffic adjustment coefficient presetting unit; the land development traffic adjusting coefficient presetting unit comprises a sunrise traffic generation and suction input subunit, an early peak traffic generation and suction input subunit and an late peak traffic generation and suction input subunit; the planning road related traffic adjustment coefficient presetting unit comprises a day related traffic input subunit, an early peak related traffic input subunit and a late peak related traffic input subunit.
As another specific embodiment, the matching road planning module provided by the present invention specifically includes a road planning sub-module, a road planning content summarizing sub-module, a road planning attribute display sub-module, and a road planning start virtual button. When the road planning start virtual button is clicked, the road planning can be operated.
And the road planning submodule is used for newly adding or changing a target path on the electronic map of the target area through external interaction equipment to generate a first electronic map of the target area. The external interactive device is an online drawing system. And changing the target path, namely, modifying the existing road, and modifying the number of lanes, traffic capacity and traffic speed of the existing road. The number of the target paths is one or more.
The road planning content summarizing submodule is used for summarizing the number of the target paths and the road type, the road grade, the road kilometer number, the road passing direction, the road passing capacity, the road speed limit number and the road lane number of each target path.
The road planning attribute display submodule is used for displaying the number of the target paths and the road type, the road grade, the road kilometer number, the road passing direction, the road passing capacity, the road speed limit number and the road lane number of each target path.
And displaying the color identifications of the newly added target path and the changed target path in the road planning attribute display submodule.
As another specific embodiment, the land planning module provided by the present invention specifically includes a first land block planning submodule, a land block building area calculation submodule, a land block basic attribute display submodule, a land block motor vehicle traffic prediction submodule, a land use planning content summarizing display submodule, a traffic prediction time period submodule, and a land block expectation line input display module.
And the first plot planning submodule is used for newly adding or changing a target plot on the first target area electronic map through external interaction equipment to generate a second target area electronic map. The external interactive device is an online drawing system. The number of the target plots is one or more.
And the plot building area calculation submodule is used for automatically calculating the occupied area of the target plot according to the data of the spatial database and the position of the target plot, and automatically calculating the building area of the target plot by combining a preset volume ratio.
The land parcel basic attribute display submodule comprises a target land parcel name input display unit, a target land parcel occupied area display unit, a target land parcel building area display unit, a target land parcel volume rate input display unit and a land occupation property display unit; wherein, the land property input display unit comprises a plurality of land type selection subunits and each land type proportion input subunit; the land types comprise commercial land, residential land, administrative office and cultural facility; the sum of all the right-of-way occupation types is 1. Each land can be provided with single land property or multiple mixed land properties.
The land motor vehicle traffic prediction display module is used for displaying the traffic of a target land; the traffic volume comprises daily traffic volume, early peak traffic volume and late peak traffic volume; wherein the daily traffic volume includes a production volume, an attraction volume, and a total volume, the early peak traffic volume includes a production volume, an attraction volume, and a total volume, and the late peak traffic volume includes a production volume, an attraction volume, and a total volume.
The land use planning content summarizing and displaying submodule is used for summarizing and displaying the number of target plots and the daily traffic volume, the early-peak traffic volume and the late-peak traffic volume of each target plot.
The traffic prediction period sub-module has an early peak selection virtual button and a late peak virtual button.
The plot expected line input display module is used for inputting and displaying expected line parameters of a target plot; the desired line parameters include a desired line minimum traffic flow value, a desired line maximum width, a desired line display content, and a desired line color. The desired line content includes bi-directional, departure only, and arrival only.
And displaying the color identifications of the newly added target land parcel and the changed target land parcel in the first land parcel planning submodule.
As another specific embodiment, the land planning module provided by the present invention further includes a second land planning sub-module and a land traffic prediction display sub-module; the land planning module is also provided with a target land block traffic influence prediction virtual button used for sending a target land block traffic influence prediction signal.
And the second plot planning submodule is used for newly adding or changing a target plot on the electronic map of the target area through external interaction equipment to generate a fourth electronic map of the target area. The external interaction device is a current line drawing system. The number of the target plots is one or more.
The cloud computing server is used for evaluating and determining a traffic influence result of the target plot according to the cloud computing traffic model, the background OD data of the target area, the transaction evaluation time, the transaction evaluation traffic volume and the fourth target area electronic map when receiving the traffic influence prediction signal of the target plot, sending the traffic influence result to the plot traffic prediction display submodule in the user side and sending the traffic influence result to the spatial database for storage; the traffic impact results include traffic volume, traffic distribution data, and traffic distribution data.
The land parcel traffic prediction display submodule is used for displaying traffic volume, traffic distribution data and traffic distribution data of a target land parcel in a map form or a statistical graph form.
And displaying the color identifications of the newly added target land parcel and the changed target land parcel in the second land parcel planning submodule.
The method realizes full-automatic one-key prediction of the total trip amount and trip distribution of the target plot based on the cloud computing server, and can also optimize and adjust the influence result through controlling parameters.
As another specific embodiment, the parcel entrance/exit setting module provided by the present invention includes a parcel entrance/exit setting display sub-module, a parcel entrance/exit basic attribute display module, an entrance/exit vehicle entrance/exit proportion input display sub-module, and a parcel entrance/exit setting summary display sub-module.
And the plot passageway setting and displaying submodule is used for setting a passageway on the target plot through external interaction equipment, and generating and displaying a third target area electronic map. The external interaction device is a current line drawing system. Different entrance and exit arrangement schemes can have significant influence on the cross-appraisal result.
And the land parcel entrance and exit basic attribute display module is used for displaying the name of a target land parcel, the floor area of the target land parcel and the set number of entrances and exits of the target land parcel.
And the entrance and exit vehicle access proportion input display submodule is used for inputting and displaying the vehicle access percentage of each entrance and exit. The sum of the vehicle access percentages of all the entrances and exits is 1.
And the parcel access setting and summarizing display submodule is used for summarizing and displaying the number of the target parcels with the set accesses and the total number of the accesses.
As another specific embodiment, the traffic impact prediction module provided by the present invention is further provided with an evaluation display sub-module, a traffic scheme inspection sub-module, and a traffic distribution parameter input sub-module.
The traffic scheme checking submodule is used for checking whether the target land block, the target path, the transaction evaluation time and the transaction evaluation traffic volume are correct or not.
The traffic distribution parameter input submodule is used for inputting the traffic model type, the iteration times, the traffic prediction time period and the road resistance function. Traffic prediction periods include early peak and late peak.
The evaluation display sub-module comprises a map display unit and a traffic influence characteristic analysis chart display unit; the map display unit is used for displaying the traffic generation amount, the traffic distribution data and the traffic distribution data of the target area in a map form; the traffic influence characteristic analysis graph display unit is used for generating traffic in a target area in the form of a traffic influence characteristic analysis graph; the traffic impact characteristic analysis graph comprises three elements, namely saturation, flow and speed.
Compared with the prior art, the online traffic bearing capacity evaluation system provided by the invention has the characteristic functions as follows:
1, foundation road network construction and parameter calibration are not needed, and the system is completed based on big data presetting; such as basic road network model, current traffic characteristics, city-wide travel distribution and travel rate calibration.
2, only the actual construction content needs to be drawn online; such as drawing planned land, drawing planned roads, and setting parcel gates.
And 3, operating a cloud computing traffic model by one key, and predicting traffic generation amount, traffic distribution and traffic distribution.
And 4, generating an evaluation report by one key, and comparing a plurality of cross-rating schemes by one key.
The online traffic bearing capacity evaluation system organically integrates big data, cloud computing and a traffic model, and the system enables the big data to really take decision assistance from the application bottleneck of the quantization status even if the system is a new product, a new mode and a new direction.
The online traffic bearing capacity evaluation system provided by the invention adopts the cloud computing and online drawing interaction technology, subverts the implementation method of the traditional assessment, provides a simple, effective, efficient and practical new assessment solution for traffic planning and management personnel, does not need professional software, does not need background modeling, greatly simplifies model calibration and can automatically generate an assessment report.
In order to enable the online traffic bearing capacity evaluation system to be efficient and easy to operate, the system organizes an interaction process in a guide mode, the whole evaluation work is divided into six steps, a user can complete all work from input of a planning scheme to generation of an evaluation report only by following the sequential operation of the guide mode, and obviously, the online traffic bearing capacity evaluation can be realized efficiently and accurately.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (10)
1. An online traffic bearing capacity evaluation system is characterized by comprising a cloud computing server and a user side communicated with the cloud computing server;
a cloud computing traffic model and a spatial database are built in the cloud computing server; the spatial database stores basic electronic maps, background OD data, road network data, road condition data, mobile phone signaling data and enterprise internet LBS data of a plurality of regions; the cloud computing traffic model is a cloud data computing model developed from a bottom layer based on the spatial database and a path search algorithm;
the user side comprises a cross evaluation parameter input module, a matched road planning module, a land planning module, a plot entrance and exit setting module and a traffic influence prediction display module; the traffic influence prediction display module is provided with a target area traffic influence prediction virtual button for sending a target area traffic influence prediction signal;
the transaction evaluation parameter input module is used for inputting transaction evaluation time and transaction evaluation traffic volume and sending the transaction evaluation time and the transaction evaluation traffic volume to a spatial database in the cloud computing server for storage;
the matched road planning module is used for newly adding or changing a target path on the target area electronic map, generating a first target area electronic map and sending the first target area electronic map to the spatial database in the cloud computing server for storage;
the land planning module is used for newly adding or changing a target land block on the first target area electronic map, generating a second target area electronic map and sending the second target area electronic map to a space database in the cloud computing server for storage;
the parcel access setting module is used for opening parcel access ports on target parcels in the second target area electronic map, generating a third target area electronic map and sending the third target area electronic map to a spatial database in the cloud computing server for storage;
the cloud computing server is used for evaluating and determining a traffic influence result of a target area according to the cloud computing traffic model, target area background OD data, the transaction evaluation time, the transaction evaluation traffic volume and the third target area electronic map when receiving the target area traffic influence prediction signal, sending the traffic influence result to a traffic influence prediction display module in the user side and sending the traffic influence prediction display module to the spatial database for storage; the traffic influence result comprises traffic travel volume, traffic distribution data and traffic distribution data;
the traffic influence prediction display module is used for displaying traffic travel volume, traffic distribution data and traffic distribution data of the target area in a map form or a statistical graph form.
2. The system for evaluating the carrying capacity of the online traffic as recited in claim 1, wherein the cloud computing server further comprises a basic road network presetting module and a road section level impedance calibration module;
the basic road network presetting module is used for presetting a target region road network structure based on target region road network data in the spatial database;
the road section impedance calibration module calibrates road section impedance on the target area road network structure based on the target area road condition data in the spatial database, and generates a target area electronic map by combining a target area basic electronic map.
3. The system of claim 1, further comprising a review presentation generation module in communication with the cloud computing server; the comment briefing generation module is arranged at the user side;
the transaction evaluation briefing generation module is used for downloading a traffic influence result of a target area from the cloud computing server and generating a transaction evaluation briefing in a Word form; the commenting briefing displays the position, scale and construction scheme of the target area in a graph-text mode, and the prediction results of traffic generation attraction amount, traffic distribution and road traffic influence.
4. The system of claim 1, further comprising an evaluation scheme comparing module in communication with the cloud computing server; the cross-evaluation scheme comparison module is arranged at the user side; the cross-evaluation scheme comparison module is provided with a comparison virtual button for sending a comparison signal;
and the cloud computing server is used for calling the traffic influence results of different cross-rating schemes in the same target area from the spatial database when receiving the comparison signal, comparing and analyzing the traffic influence results to generate difference reports, and then sending the difference reports to the cross-rating scheme comparison module for reference of a user.
5. The system of claim 1, wherein the cross-rating parameter input module comprises a cross-rating time input sub-module and a traffic volume prediction adjustment coefficient preset sub-module;
the cross-evaluation time input submodule comprises a background year input unit, a prediction target year input unit and a date type selection unit; the date type selection subunit comprises a working day selection virtual button and a non-working day selection virtual button;
the traffic prediction adjustment coefficient presetting submodule comprises a land development traffic adjustment coefficient presetting unit and a planning road related traffic adjustment coefficient presetting unit; the land development traffic adjusting coefficient presetting unit comprises a sunrise traffic generation and suction input subunit, an early peak traffic generation and suction input subunit and a late peak traffic generation and suction input subunit; the planning road related traffic adjustment coefficient presetting unit comprises a day related traffic input subunit, an early peak related traffic input subunit and a late peak related traffic input subunit.
6. The system of claim 1, wherein the matching road planning module comprises a road planning sub-module, a road planning content gathering sub-module and a road planning attribute display sub-module;
the road planning submodule is used for newly adding or changing a target path on the electronic map of the target area through external interaction equipment to generate a first electronic map of the target area;
the road planning content summarizing submodule is used for summarizing the number of target paths, the road type, the road grade, the road kilometer number, the road passing direction, the road passing capacity, the road speed limit number and the road lane number of each target path;
the road planning attribute display submodule is used for displaying the number of target paths and the road type, the road grade, the road kilometer number, the road passing direction, the road passing capacity, the road speed limit number and the road lane number of each target path; and displaying the color identifications of the newly added target path and the changed target path in the road planning attribute display submodule.
7. The system of claim 1, wherein the land planning module comprises a first land planning submodule, a land building area calculation submodule, a land foundation attribute display submodule, a land motor vehicle traffic prediction submodule and a land planning content summarizing display submodule;
the first plot planning submodule is used for newly adding or changing a target plot on the first target area electronic map through external interaction equipment to generate a second target area electronic map;
the land building area calculation submodule is used for automatically calculating the occupied area of the target land according to the data of the spatial database and the position of the target land and combining a preset volume ratio to automatically calculate the building area of the target land;
the land parcel basic attribute display submodule comprises a target land parcel name input display unit, a target land parcel occupied area display unit, a target land parcel building area display unit, a target land parcel volume rate input display unit and a land occupation property display unit; wherein, the land property input display unit comprises a plurality of land type selection subunits and each land type proportion input subunit; the land types comprise commercial land, residential land, administrative office and cultural facility; the sum of all the land occupation types is 1;
the land motor vehicle traffic prediction display module is used for displaying the traffic of a target land; the traffic volume comprises daily traffic volume, early peak traffic volume and late peak traffic volume; wherein the daily traffic volume, the early peak traffic volume, and the late peak traffic volume each comprise production volume, attraction volume, and total volume;
the land use planning content summarizing and displaying submodule is used for summarizing and displaying the number of target plots and the daily traffic volume, the early-peak traffic volume and the late-peak traffic volume of each target plot.
8. The system of claim 1, wherein the land planning module further comprises a second land planning submodule and a land traffic prediction display submodule; the land planning module is also provided with a target land block traffic influence prediction virtual button for sending a target land block traffic influence prediction signal;
the second plot planning submodule is used for newly adding or changing a target plot on the electronic map of the target area through external interaction equipment to generate a fourth electronic map of the target area;
the cloud computing server is used for evaluating and determining a traffic influence result of the target parcel according to the cloud computing traffic model, background OD data of the target area, the transaction evaluation time, the transaction evaluation traffic volume and the fourth target area electronic map when receiving the traffic influence prediction signal of the target parcel, sending the traffic influence result to the parcel traffic prediction display submodule in the user side and sending the traffic influence result to the spatial database for storage; the traffic influence result comprises traffic travel volume, traffic distribution data and traffic distribution data;
the land parcel traffic prediction display submodule is used for displaying traffic volume, traffic distribution data and traffic distribution data of a target land parcel in a map form or a statistical graph form.
9. The system of claim 1, wherein the parcel entrance/exit setting module comprises a parcel entrance/exit setting display sub-module, a parcel entrance/exit basic attribute display module, an entrance/exit vehicle entrance/exit proportion input display sub-module, and a parcel entrance/exit setting summary display sub-module;
the plot passageway setting and displaying submodule is used for setting a passageway on a target plot through external interaction equipment, and generating and displaying a third target area electronic map;
the land parcel gateway basic attribute display module is used for displaying the name of a target land parcel, the floor area of the target land parcel and the set number of gateways of the target land parcel;
the entrance and exit vehicle access proportion input display submodule is used for inputting and displaying the vehicle access percentage of each entrance and exit;
and the parcel access setting and summarizing display submodule is used for summarizing and displaying the number of the target parcels with the set accesses and the total number of the accesses.
10. The system of claim 1, wherein the traffic impact prediction module further comprises an evaluation display sub-module, a traffic scheme inspection sub-module and a traffic distribution parameter input sub-module;
the evaluation display sub-module comprises a map display unit and a traffic influence characteristic analysis chart display unit; the map display unit is used for displaying the traffic generation amount, the traffic distribution data and the traffic distribution data of the target area in a map form; the traffic influence characteristic analysis graph display unit is used for generating traffic in a target area in the form of a traffic influence characteristic analysis graph; the traffic influence characteristic analysis chart comprises three elements, namely saturation, flow and speed;
the traffic scheme checking submodule is used for checking whether a target land block, a target path, the transaction evaluation time and the transaction evaluation traffic volume are correct or not;
the traffic distribution parameter input submodule is used for inputting the traffic model type, the iteration times and the road resistance function.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910978817.9A CN110705904A (en) | 2019-10-15 | 2019-10-15 | Online traffic bearing capacity evaluation system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910978817.9A CN110705904A (en) | 2019-10-15 | 2019-10-15 | Online traffic bearing capacity evaluation system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110705904A true CN110705904A (en) | 2020-01-17 |
Family
ID=69198661
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910978817.9A Pending CN110705904A (en) | 2019-10-15 | 2019-10-15 | Online traffic bearing capacity evaluation system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110705904A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112200453A (en) * | 2020-10-10 | 2021-01-08 | 中国城市规划设计研究院 | Road traffic bearing capacity evaluation system |
| CN112418483A (en) * | 2020-10-26 | 2021-02-26 | 中冶赛迪工程技术股份有限公司 | Steel mill road traffic material flow analysis system, method, equipment and medium based on GIS |
| CN113128899A (en) * | 2021-04-30 | 2021-07-16 | 中国城市规划设计研究院 | Urban commuting feature analysis system based on mobile position data |
| CN116862097A (en) * | 2023-06-08 | 2023-10-10 | 深圳市蕾奥规划设计咨询股份有限公司 | Information determination method and equipment |
| CN117131581A (en) * | 2023-10-26 | 2023-11-28 | 乘木科技(珠海)有限公司 | Digital twin urban road construction system and method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101976505A (en) * | 2010-10-25 | 2011-02-16 | 中国科学院深圳先进技术研究院 | Traffic evaluation method and system |
| CN105070042A (en) * | 2015-07-22 | 2015-11-18 | 济南市市政工程设计研究院（集团）有限责任公司 | Modeling method of traffic prediction |
| CN105160878A (en) * | 2015-09-02 | 2015-12-16 | 深圳市城市交通规划设计研究中心有限公司 | Traffic impact evaluation system and method |
| US20190130427A1 (en) * | 2017-10-31 | 2019-05-02 | Panasonic Intellectual Property Management Co., Ltd. | Candidate site evaluation system and candidate site evaluation method |
| CN110288205A (en) * | 2019-06-04 | 2019-09-27 | 北京世纪高通科技有限公司 | Traffic impact analysis method and device |
-
2019
- 2019-10-15 CN CN201910978817.9A patent/CN110705904A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101976505A (en) * | 2010-10-25 | 2011-02-16 | 中国科学院深圳先进技术研究院 | Traffic evaluation method and system |
| CN105070042A (en) * | 2015-07-22 | 2015-11-18 | 济南市市政工程设计研究院（集团）有限责任公司 | Modeling method of traffic prediction |
| CN105160878A (en) * | 2015-09-02 | 2015-12-16 | 深圳市城市交通规划设计研究中心有限公司 | Traffic impact evaluation system and method |
| US20190130427A1 (en) * | 2017-10-31 | 2019-05-02 | Panasonic Intellectual Property Management Co., Ltd. | Candidate site evaluation system and candidate site evaluation method |
| CN110288205A (en) * | 2019-06-04 | 2019-09-27 | 北京世纪高通科技有限公司 | Traffic impact analysis method and device |
Non-Patent Citations (1)
| Title |
|---|
| 吴克寒等: "[官宣]洞见城市，智绘未来，[中规智绘]大数据平台重磅推出！", 《HTTPS://WWW.SOHU.COM/A/321871175_732956》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112200453A (en) * | 2020-10-10 | 2021-01-08 | 中国城市规划设计研究院 | Road traffic bearing capacity evaluation system |
| CN112200453B (en) * | 2020-10-10 | 2024-02-09 | 中国城市规划设计研究院 | Road traffic bearing capacity evaluation system |
| CN112418483A (en) * | 2020-10-26 | 2021-02-26 | 中冶赛迪工程技术股份有限公司 | Steel mill road traffic material flow analysis system, method, equipment and medium based on GIS |
| CN113128899A (en) * | 2021-04-30 | 2021-07-16 | 中国城市规划设计研究院 | Urban commuting feature analysis system based on mobile position data |
| CN116862097A (en) * | 2023-06-08 | 2023-10-10 | 深圳市蕾奥规划设计咨询股份有限公司 | Information determination method and equipment |
| CN117131581A (en) * | 2023-10-26 | 2023-11-28 | 乘木科技(珠海)有限公司 | Digital twin urban road construction system and method |
| CN117131581B (en) * | 2023-10-26 | 2024-02-13 | 乘木科技(珠海)有限公司 | Digital twin urban road construction system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110705904A (en) | Online traffic bearing capacity evaluation system | |
| WO2021103323A1 (en) | Historical city protection and development cooperative control scheme aided design system | |
| Madurika et al. | GIS based analysis for suitability location finding in the residential development areas of greater matara region | |
| Samaniego et al. | Cities as organisms: Allometric scaling of urban road networks | |
| CN109978224B (en) | Method for analyzing and acquiring traffic trip rates of buildings with different properties | |
| CN105788270A (en) | Internet of things-based traffic data prediction method and processing server | |
| CN113902168B (en) | Flood emergency evacuation method based on real-time crowd data fusion | |
| MXPA03000171A (en) | Method and system for providing traffic and related information. | |
| CN106504535A (en) | A kind of combination Gravity Models and the trip distribution modeling method of Fratar models | |
| CN111784830B (en) | Rule-based three-dimensional geographic information model space analysis method and system | |
| CN107292484A (en) | The recognition methods of urban redevelopment soil and system based on city space big data | |
| CN111612223B (en) | Population employment distribution prediction method and device based on land and traffic multisource data | |
| CN110503267A (en) | Wealth case forecasting system and prediction technique are invaded in city based on spatial and temporal scales adaptive model | |
| CN113222271A (en) | Medium and small airport site selection layout method under comprehensive transportation system | |
| CN113239316A (en) | City business facility layout rationality evaluation method and system considering crowd consumption characteristics | |
| Zhong et al. | GIS-based travel demand modeling for estimating traffic on low-class roads | |
| CN109784764B (en) | Block accessibility metering method for urban area | |
| Azmoodeh et al. | Investigating the relationship between housing policy and accessibility, based on developing a multi-perspectives accessibility index: a case study in Tehran, Iran | |
| CN115049215A (en) | Method for constructing urban traffic flow spatial distribution model | |
| CN102184470A (en) | Method and device for processing selected information of sample points in land price survey | |
| CN115049158B (en) | Method, system, storage medium and terminal for predicting running state of urban system | |
| Qiu et al. | RPSBPT: A route planning scheme with best profit for taxi | |
| CN115668265A (en) | Risk transfer configurator and simulation engine providing look-ahead and look-behind metrics for risk driven combinations of manipulating and adjusting underwriting objectives and method thereof | |
| Halás et al. | Modeling and prediction of long-distance traffic flows through the example of road transport in the Czech Republic | |
| CN115146840A (en) | Data-driven rail transit new line access passenger flow prediction method |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200117 |