CN117709811A - Urban planning system and method based on urban simulation - Google Patents
Urban planning system and method based on urban simulation Download PDFInfo
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Abstract
The invention discloses a city planning system and method based on city simulation, and belongs to the technical field of city simulation. The system comprises a simulation data acquisition module, a simulation city construction module, a traffic planning module and a simulation evaluation module; the simulation data acquisition module performs screening acquisition and encapsulation transmission on the target city data through multiple communication devices; the simulation city construction module is used for carrying out inverse deblocking on the data, constructing a simulation city through three-dimensional virtual space simulation mapping, and introducing time attributes to enable the virtual city to carry out dynamic time line simulation development; the traffic planning module is used for calling historical data of each road in the simulated city, and making dynamic time regulation and control planning for traffic signal lamps of each intersection and making a diversion scheme by analyzing traffic flow and traffic flow passing rate and waiting condition of each intersection all the day; the simulation evaluation module inputs the planning scheme into the simulation city model for dynamic evolution through data conversion, and evaluates the feasibility of the scheme according to the evolution result.
Description
Technical Field
The invention relates to the technical field of city simulation, in particular to a city planning system and method based on city simulation.
Background
Urban simulation is a method for simulating behaviors and interactions of urban systems and components thereof by using computer technology; such simulations may help city planners, architects, policy makers and researchers to better understand the trends of city development, predict future changes, and evaluate the possible impact of different planning decisions;
at present, urban development is rapid, urban population is increased in an explosive manner, and a large burden is brought to urban traffic, so that the phenomenon of two polarization in the crowded condition of urban roads is extremely serious; the traffic signal lamp is reasonably arranged and the vehicles are shunted, so that the phenomenon can be slowed down; in a common city, the traffic time and the waiting time can be prolonged appropriately for the place or the time period of the congestion to effectively relieve the congestion degree of the intersection, but the time setting of the signal lamp needs to be adjusted for the idle time; in many cities at present, the setting of the time of the signal lamp is unreasonable, dynamic regulation is not achieved, whether the intersection is crowded or idle, the time is unchanged, and therefore a phenomenon is caused, when the intersection is idle, the set red light time is long, so that waiting staff can produce restlessness emotion, or when the intersection is crowded, the passing time is not properly prolonged, vehicles are not split, the situation of the intersection is serious, and the waiting staff can produce fidgetiness emotion, so that illegal behaviors are caused.
Disclosure of Invention
The invention aims to provide a city planning system and method based on city simulation, which are used for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme:
a city planning method based on city simulation, the method comprising the steps of:
s100, screening and collecting target city data by referring to simulation main parameters through multi-communication equipment, and carrying out time region encapsulation and transmission on the collected data to a simulation center;
s200, the simulation center receives data, reversely unpacks the data according to the package attribute, performs simplified mirror image simulation construction on the city data according to the view angle of an observer user through three-dimensional virtual space simulation mapping, and performs dynamic time line simulation development on the virtual city by introducing the time four-dimensional attribute to obtain simulation data;
s300, in a simulated city model, historical data of each road in a city are called, dynamic time regulation and control planning is formulated for traffic signal lamps of each intersection by analyzing traffic flow and traffic flow passing rate and waiting condition of each intersection all the day, and a diversion scheme of traffic flow of each road is formulated;
S400, converting the analyzed planning scheme into input data of a simulation city model through data, carrying out dynamic evolution through the city model, and analyzing the feasibility of the scheme according to an evolution result.
In the step S100, the multi-communication device performs reference according to the simulation main parameters to screen and collect the target city data, and the time region packaging and transmission of the collected data to the simulation center comprises the following specific steps:
s101, carrying out overall architecture data acquisition on a city through satellite equipment above the city, carrying out rough acquisition on internal data of the city through monitoring equipment of each road device of the city, and carrying out detail acquisition on the internal data of the city through on-site observation vehicles or people;
s102, screening the collected data according to the simulation object, finely collecting and storing road data in the collected data, and carrying out frame collection on interference data; the interference data includes building data, plant data, and water flow data; the frame acquisition is to acquire the external frame of the interference data, and is used for representing the type of the object occupied at the corresponding position without supplementing the details of the internal data when the city simulation is constructed, so that the behavior can reduce the data interference during simulation;
S103, carrying out data encapsulation on the acquired data by marking specific position data of the city and corresponding acquisition time point data, and transmitting the encapsulated data to a back-end simulation center.
In S200, the simulation center receives data, and inversely unpacks the data with the package attribute, and through three-dimensional virtual space simulation mapping, the simulation center performs simplified mirror image simulation construction on the city data with the view angle of the observer user, and then introduces the time four-dimensional attribute to perform dynamic time line simulation development on the virtual city, so as to obtain the simulation data, which comprises the following specific steps:
s201, receiving the encapsulated data by a simulation center, extracting the acquired data through inverse deblocking, classifying the extracted data by dynamic and static data according to time attributes, and carrying out primary screening and extraction on short-term fixed data in urban data; the short-term fixed data is expressed as that the data cannot change in short-term time and belongs to short-term fixed data attributes; after the short-term fixed data extraction is completed, constructing a time line difference point data strip by the dynamic data in an additional data form; the time line difference point data strip is in a data strip form formed by carrying out data in a time data bearing manner and connecting data in a data point form in series through a time line;
S202, simulating and constructing a framework structure of a city in a simulation virtual space by utilizing short-term fixed data, and completing the simulation and construction of a virtual building by extracting inherent attribute data of the building; performing virtual plant and water flow mapping reproduction by utilizing characteristic attribute data of plants and water flows; the building-inherent properties include the length, width, height and space occupancy of the building; the characteristic properties of the plants and the water flow are color and space occupation ratio; the general framework structure of the city is built only through fuzzy data, the building of the simulated city can be initially completed with smaller calculated amount, the influence of the framework construction on the main analysis target of the simulated city is smaller, and the data interference can be reduced through the fuzzy construction;
s203, after the initial simulation city is built, completely grafting the analysis main target data of the current simulation city, and restoring the analysis main target data in the virtual simulation space by simulating the real road condition in one-to-one detail through extracting the traffic road data in the real city to complete the static construction of the city; the time line difference point data strip formed by the dynamic data is used for carrying out dynamic data implantation on the static city according to the time attribute data, so as to complete the dynamic simulation development of the simulated city; the dynamic data includes traffic flow data and people flow data.
In the step S300, in the simulated city model, historical data of each road in the city is retrieved, and the dynamic time regulation and control plan is formulated for the traffic signal lamps of each intersection by analyzing traffic flow and traffic flow passing rate and waiting condition of each intersection all the day, and the specific steps of formulating the diversion scheme of the traffic flow of each road are as follows:
s301, in a simulation virtual space where city construction is completed, historical all-day traffic situation data of trunk roads and branch roads in all roads of a city are called; corresponding label records are carried out on each trunk road and each auxiliary trunk road; according to the historical data, carrying out time period classification analysis on the traffic situation of the all-day road, and analyzing traffic data of specific intersections according to classification results;
s302, calculating the personnel density of the road openings in a waiting state in all day time periods by using the area monitoring equipment of each road opening, wherein the calculation formula is as followsWherein->For the people density in waiting state, +.>Area occupied by people in waiting state, < >>For the number of people in waiting state, +.>The area for allowing people to wait in the crossing monitoring area; obtaining two density values of +. >，/>The method comprises the steps of carrying out a first treatment on the surface of the Wherein->For pedestrian density data in waiting state, +.>Vehicle density data for a waiting state; the intensity of the crossing is calculated according to the personnel density in the waiting state, and the calculation formula is +.>The method comprises the steps of carrying out a first treatment on the surface of the Wherein->Is the concentration of the crossing->、For calculating weight corresponding to vehicle density and pedestrian density, the calculation formula is +.>The method comprises the steps of carrying out a first treatment on the surface of the Wherein->For the width of the road of the intersection, +.>The width of the pedestrian road at the intersection; based on the history data, the system combines the congestion bearing capacity of the road to give the concentration threshold value of each crossing +.>The method comprises the steps of carrying out a first treatment on the surface of the To->For comparison object, the concentration degree of a certain intersection is +.>Judging that the current intersection is in a crowded state; if->Judging that the current intersection is in an unsaturated state; distinguishing the dense state of all the time periods of all the days of each intersection according to the analysis mode of the road state, and obtaining the high flow time period, the medium flow time period and the low valley time period of all the days of each intersection; the high flow time period is in a road congestion state, and the medium flow and low valley time period is in a road unsaturated state; the specific medium flow period is that the road concentration is +.>While the valley period is the road concentration is +.>State of (2);
s303, constructing a correlation function model of the offensiveness rate of the waiting personnel by combining the concentration degree of the intersections and the actual waiting time of the waiting personnel, wherein the function formula is as follows The method comprises the steps of carrying out a first treatment on the surface of the Wherein->To wait for the rate of offensiveness of the person, +.>For waiting the actual waiting time of the person, +.>Presetting parameters for the system, < >>Correcting parameters for the function; analyzing the time spent by a user waiting for traffic lights at intersections through a function, and obtaining that under the condition of corresponding to different road intersection densities, a point exists in the function curve, and the increase rate of the illegal behavior rate of the user at the point is the maximum value; then differential calculation is performed on the original function, whose calculation formula is +.>Taking the differential function +.>Corresponding time value->Then->Optimal waiting time for waiting personnel; wherein->Is the vertical axis maximum on the differential curve; the system analyzes the historical data and waits for personnel to wait for the traffic signal lamp, and the corresponding illegal behavior rate reaches the preset valueAt the critical point, the corresponding waiting time is acquired>The method comprises the steps of carrying out a first treatment on the surface of the In this function, the rate of offensiveness of waiting personnel is defined as the longer the actual time that waiting personnel need to wait, the more easily it is to produce an impatient emotion, and therefore, the easier it is to make an offence; for pedestrian and non-motor vehicle type vehicle objects, when the required waiting time is longer, the violations caused by the impatience emotion are mainly illegal red light running; for the motor vehicle type vehicle object, when the required waiting time is longer, the mobile phone is mainly used as a rule for illegal use due to the fact that the vexation-resistant emotion is generated; the smaller the corresponding offensiveness rate is, the more stable the emotion is represented, and the smaller the probability of offensiveness is made; the calculation of the offensiveness rate of the waiting personnel in the function is applicable to the masses, and is not specific to the individuals; therefore, the offensiveness rate of the individual is not calculated; wherein for- >The increasing rate of the offensiveness rate at the point starts to change, and the corresponding sudden increase of the slope of the whole curve at the point shows that the emotional anxiety degree of people at the point increases rapidly; for->The limitation is that when traffic accidents or other abnormal factors cause traffic jam, people do not take waiting emotion as a first element at the moment, but take safety as a main factor;
s304, the system combines the actual concentration of the intersection and the personnel passing rate, and dynamically adjusts the time of the traffic signal lamp of the intersection by taking the waiting time corresponding to the user offence rate as a reference object; the system is used for analyzing the intensity of the current intersection, and when the intersection is in a crowded state, the actual single intersection passing time is calculated, wherein the calculation formula is as followsThe method comprises the steps of carrying out a first treatment on the surface of the Wherein->For systematic analysis of the current crossing congestion situation, the single transit time required to alleviate the congestion situation,/->Number of vehicles passing through a single intersection, +.>For the time of a single vehicle passing through an intersection, +.>Correcting parameters for time; corresponding intersection waiting time value +.>Equal to the transit time value; here, the single passing time of the intersection is calculated only for the vehicles, because the time for the pedestrians to pass through the intersection is usually shorter than that of the vehicles because the vehicles are caused by more vehicles when the intersection is blocked, and therefore, the passing time of the pedestrians can be covered by the passing time of the vehicles when the two vehicles occur simultaneously; the time correction parameter is introduced because under normal conditions, vehicles at the crossing do not wait for the previous vehicle to completely pass through the crossing and then travel at the same time with the previous vehicle, so that the time actually spent is smaller than the result obtained by simply integrating the number and the time;
When the crossing is crowded, the concentration of the corresponding crossing isWhen in use, will->And->Comparing ifCorrecting the system and outputting the single waiting time as +.>The corresponding single pass time output is +.>Setting an electronic screen at the boundary of the road opening monitoring range, carrying out text or voice prompt on the road congestion of the subsequent vehicles, and carrying out road diversion; if->Outputting the single waiting time as +.>The corresponding single pass time output is +.>And the road is shunted;
when the road is in an unsaturated state, the concentration of the corresponding road is thatAt the same time, the traffic time of the current intersection is calculated, and the calculation formula is +.>The method comprises the steps of carrying out a first treatment on the surface of the Wherein->For the current crossing traffic time, +.>The number of vehicles at the current intersection; then corresponding to single crossing waiting time->The value of (2) and->Equal; will->And->And->Comparing ifThe system is corrected and the single waiting time is output as +.>The corresponding single pass time output is +.>Judging whether to adopt diversion according to the dynamic condition of the road; in this case, when the concentration of the road is not saturated but is close to congestion, the time after correction meets the emotion requirement of people, but road congestion may be caused after a period of time, so that real-time diversion judgment is required; if- >Outputting the single waiting time as +.>The corresponding single pass time output is +.>；
When the road is in an unsaturated state, the concentration of the corresponding road is thatWhen the system is used for analyzing the actual waiting personnel condition of the current intersection, the single waiting time is output as +.>The corresponding single pass time output is +.>The method comprises the steps of carrying out a first treatment on the surface of the Wherein->Presetting dynamic parameters for a system; in this case, since the intersections are in a relatively idle state, the system sets the time for the signal lamps of each intersection according to the actual idle state of each intersection.
In the step S400, the analyzed planning scheme is converted into the input data of the simulation city model through the data, the dynamic evolution is performed through the city model, and the feasibility of the scheme is analyzed according to the evolution result:
s401, inputting an analyzed planning scheme into a simulation city model in a data form, carrying out multi-period dynamic evolution, observing the evolution process of the simulation city, and carrying out comprehensive data analysis on period data;
s402, the system evaluates the current planning scheme according to the evolution result and combines the periodic data analysis, and gives a corresponding feasibility evaluation report.
The city planning system based on city simulation comprises a simulation data acquisition module, a simulation city construction module, a traffic planning module and a simulation evaluation module;
The simulation data acquisition module performs reference according to simulation main parameters through the multi-communication equipment to screen and acquire target city data, and performs time region encapsulation and transmission on acquired data to a simulation center; the simulation city construction module performs inverse deblocking on the packaged data, performs simplified mirror image simulation construction on the city data through three-dimensional virtual space simulation mapping at the view angle of an observer user, and performs dynamic time line simulation development on the virtual city by introducing time four-dimensional attributes to obtain simulation data; the traffic planning module is used for calling historical data of each road in the simulated city, and making dynamic time regulation and control planning for traffic signal lamps of each intersection and making a diversion scheme of traffic flow of each road by analyzing traffic flow of each intersection and traffic flow of people and waiting conditions all the day; the simulation evaluation module converts the analyzed planning scheme into input data of a simulation city model through data, dynamic evolution is carried out through the city model, and feasibility of the scheme is evaluated according to an evolution result.
The simulation data acquisition module comprises a multi-data acquisition unit, a main data screening unit and a data encapsulation unit; the multi-data acquisition unit acquires urban data through satellite equipment above the city, monitoring equipment of each road device of the city and an on-site observation vehicle or person; the main data screening unit screens the collected data according to the simulated main object data, finely collects and stores the road data, and carries out frame collection on the interference data; the interference data includes building data, plant data, and water flow data; the data packaging unit performs data packaging on the collected data by marking specific position data of the city and corresponding data of the collection time point, and transmits the packaged data to the back-end simulation center.
The simulation city construction module comprises a data processing unit, a simulation city construction unit and a simulation city simulation unit; the data processing unit performs inverse deblocking on the packaged data to obtain acquired data, performs dynamic and static data classification on the extracted data in a time attribute mode, performs primary screening and extraction on short-term fixed data in urban data, and constructs a time line difference point data strip in an additional data mode on the dynamic data after the short-term fixed data is extracted; the simulated city building unit utilizes short-term fixed data to simulate and build a framework structure of a city in a simulated virtual space, and the simulated construction of a virtual building is completed by extracting inherent attribute data of the building; performing virtual plant and water flow mapping reproduction by utilizing characteristic attribute data of plants and water flows; the building-inherent properties include the length, width, height and space occupancy of the building; the characteristic properties of the plants and the water flow are color and space occupation ratio; after the initial simulation city is built, the simulation city simulation unit completely grafts the analysis main target data of the current simulation city, and the real road condition is simulated in a virtual simulation space by one-to-one detail through extracting the traffic road data in the real city so as to restore the real road condition in the visual angle of an observer, thereby completing the static construction of the city; the time line difference point data strip formed by the dynamic data is used for carrying out dynamic data implantation on the static city according to the time attribute data, so as to complete the dynamic simulation development of the simulated city; the dynamic data includes traffic flow data and people flow data.
The traffic planning module comprises a road state analysis unit, a waiting personnel state analysis unit and a traffic planning and formulating unit; the road state analysis unit is used for carrying out time period classification analysis on the traffic situation of the all-day road according to the historical data by calling the historical all-day traffic situation data of the trunk road and the branch road in each road of the city, and analyzing the traffic data of a specific intersection according to the classification result; calculating the personnel density of each road intersection in a waiting state in each time period all day by using the area monitoring equipment of each road intersection, analyzing the intensity of the road intersection according to the personnel density in the waiting state, and carrying out time period state analysis on the road intersection state according to the analysis result; the waiting personnel state analysis unit is used for constructing a correlation function model of the offensiveness rate of the waiting personnel by combining the intensity of the intersections and the actual waiting time of the waiting personnel, and calculating and analyzing the optimal waiting time of the waiting personnel through the model; the traffic planning and formulating unit analyzes the time setting scheme of the traffic signal lamp of the road junction by comprehensively analyzing the state of the road junction and the state of waiting personnel, and formulates a corresponding scheme.
The simulation evaluation module comprises a simulation city data evolution unit and a planning evolution feedback unit; the simulation city data evolution unit inputs the analyzed planning scheme into a simulation city model in a data form, performs multi-period dynamic evolution, observes the evolution process of the simulation city, and performs comprehensive data analysis on the period data; and the planning evolution feedback unit evaluates the current planning scheme according to the evolution result and combines the periodic data analysis, and gives a corresponding feasibility evaluation report.
Compared with the prior art, the invention has the following beneficial effects: the city data screening and collecting system comprises a plurality of modules, wherein city data are screened and collected through the function of the modules, a city is built in a mirror image mode in a simulation space, a research target is dynamically predicted and simulated through the simulation city, and a formulated planning scheme is evaluated according to a simulation result; according to the invention, the urban simulation technology is utilized to analyze the time period of the all-day traffic state of each intersection in the current city, analyze the emotional state of waiting personnel, calculate and analyze the time setting of traffic lights of each intersection in different time periods of the city by comprehensively analyzing the data, and provide a specific scheme; according to the invention, the dynamic time regulation and control are carried out on the traffic signal lamp by dynamically analyzing different states of urban traffic in different time periods and combining with the emotion conditions of urban personnel, and a diversion plan is given to the corresponding conditions; on one hand, the dynamic traffic light regulation and control can be carried out according to different traffic conditions, so that the condition that waiting personnel are not full of emotion due to overlong waiting time of traffic lights when a road is idle or the condition that the road is crowded and traffic light passing time is unreasonable is avoided, and the road crowding condition is caused; on the other hand, the invention effectively combines the comprehensive analysis of the actual condition of the road and the emotion condition of the road personnel, and can furthest consider the emotion of the road personnel while regulating the road condition.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a schematic structural diagram of an urban planning system based on urban simulation according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides the following technical solutions:
a city planning method based on city simulation, the method comprising the steps of:
s100, screening and collecting target city data by referring to simulation main parameters through multi-communication equipment, and carrying out time region encapsulation and transmission on the collected data to a simulation center;
s200, the simulation center receives data, reversely unpacks the data according to the package attribute, performs simplified mirror image simulation construction on the city data according to the view angle of an observer user through three-dimensional virtual space simulation mapping, and performs dynamic time line simulation development on the virtual city by introducing the time four-dimensional attribute to obtain simulation data;
S300, in a simulated city model, historical data of each road in a city are called, dynamic time regulation and control planning is formulated for traffic signal lamps of each intersection by analyzing traffic flow and traffic flow passing rate and waiting condition of each intersection all the day, and a diversion scheme of traffic flow of each road is formulated;
s400, converting the analyzed planning scheme into input data of a simulation city model through data, carrying out dynamic evolution through the city model, and analyzing the feasibility of the scheme according to an evolution result.
In the step S100, the multi-communication device performs reference according to the simulation main parameters to screen and collect the target city data, and the time region packaging and transmission of the collected data to the simulation center comprises the following specific steps:
s101, carrying out overall architecture data acquisition on a city through satellite equipment above the city, carrying out rough acquisition on internal data of the city through monitoring equipment of each road device of the city, and carrying out detail acquisition on the internal data of the city through on-site observation vehicles or people;
s102, screening the collected data according to the simulation object, finely collecting and storing road data in the collected data, and carrying out frame collection on interference data; the interference data includes building data, plant data, and water flow data;
S103, carrying out data encapsulation on the acquired data by marking specific position data of the city and corresponding acquisition time point data, and transmitting the encapsulated data to a back-end simulation center.
In S200, the simulation center receives data, and inversely unpacks the data with the package attribute, and through three-dimensional virtual space simulation mapping, the simulation center performs simplified mirror image simulation construction on the city data with the view angle of the observer user, and then introduces the time four-dimensional attribute to perform dynamic time line simulation development on the virtual city, so as to obtain the simulation data, which comprises the following specific steps:
s201, receiving the encapsulated data by a simulation center, extracting the acquired data through inverse deblocking, classifying the extracted data by dynamic and static data according to time attributes, and carrying out primary screening and extraction on short-term fixed data in urban data; after the short-term fixed data extraction is completed, constructing a time line difference point data strip by the dynamic data in an additional data form; the time line difference point data strip is in a data strip form formed by carrying out data in a time data bearing manner and connecting data in a data point form in series through a time line;
s202, simulating and constructing a framework structure of a city in a simulation virtual space by utilizing short-term fixed data, and completing the simulation and construction of a virtual building by extracting inherent attribute data of the building; performing virtual plant and water flow mapping reproduction by utilizing characteristic attribute data of plants and water flows; the building-inherent properties include the length, width, height and space occupancy of the building; the characteristic properties of the plants and the water flow are color and space occupation ratio;
S203, after the initial simulation city is built, completely grafting the analysis main target data of the current simulation city, and restoring the analysis main target data in the virtual simulation space by simulating the real road condition in one-to-one detail through extracting the traffic road data in the real city to complete the static construction of the city; the time line difference point data strip formed by the dynamic data is used for carrying out dynamic data implantation on the static city according to the time attribute data, so as to complete the dynamic simulation development of the simulated city; the dynamic data includes traffic flow data and people flow data.
In the step S300, in the simulated city model, historical data of each road in the city is retrieved, and the dynamic time regulation and control plan is formulated for the traffic signal lamps of each intersection by analyzing traffic flow and traffic flow passing rate and waiting condition of each intersection all the day, and the specific steps of formulating the diversion scheme of the traffic flow of each road are as follows:
s301, in a simulation virtual space where city construction is completed, historical all-day traffic situation data of trunk roads and branch roads in all roads of a city are called; corresponding label records are carried out on each trunk road and each auxiliary trunk road; according to the historical data, carrying out time period classification analysis on the traffic situation of the all-day road, and analyzing traffic data of specific intersections according to classification results;
S302, calculating the personnel density of the road openings in a waiting state in all day time periods by using the area monitoring equipment of each road opening, wherein the calculation formula is as followsWherein->For the people density in waiting state, +.>Area occupied by people in waiting state, < >>For the number of people in waiting state, +.>The area for allowing people to wait in the crossing monitoring area; obtaining two density values of +.>，/>The method comprises the steps of carrying out a first treatment on the surface of the Wherein->For pedestrian density data in waiting state, +.>Vehicle density data for a waiting state; the intensity of the crossing is calculated according to the personnel density in the waiting state, and the calculation formula is +.>The method comprises the steps of carrying out a first treatment on the surface of the Wherein->Is the concentration of the crossing->、For calculating weight corresponding to vehicle density and pedestrian density, the calculation formula is +.>The method comprises the steps of carrying out a first treatment on the surface of the Wherein->For the width of the road of the intersection, +.>The width of the pedestrian road at the intersection; based on the history data, the system combines the congestion bearing capacity of the road to give the concentration threshold value of each crossing +.>The method comprises the steps of carrying out a first treatment on the surface of the To->For comparison object, the concentration degree of a certain intersection is +.>Judging that the current intersection is in a crowded state; if->Judging that the current intersection is in an unsaturated state; distinguishing the dense state of all the time periods of all the days of each intersection according to the analysis mode of the road state, and obtaining the high flow time period, the medium flow time period and the low valley time period of all the days of each intersection; the high flow time period is in a road congestion state, and the medium flow and low valley time period is in a road unsaturated state; the specific medium flow period is that the road concentration is +. >While the valley period is the road concentration is +.>State of (2);
s303, constructing a correlation function model of the offensiveness rate of the waiting personnel by combining the concentration degree of the intersections and the actual waiting time of the waiting personnel, wherein the function formula is as followsThe method comprises the steps of carrying out a first treatment on the surface of the Wherein->To wait for the rate of offensiveness of the person, +.>For waiting the actual waiting time of the person, +.>Presetting parameters for the system, < >>Correcting parameters for the function; analyzing the time spent by a user waiting for traffic lights at intersections through a function, and obtaining that under the condition of corresponding to different road intersection densities, a point exists in the function curve, and the increase rate of the illegal behavior rate of the user at the point is the maximum value; then differential calculation is performed on the original function, whose calculation formula is +.>Taking the differential function +.>Corresponding time value->Then->Optimal waiting time for waiting personnel; wherein->Is the vertical axis maximum on the differential curve; the system analyzes the historical data and obtains the corresponding waiting time when the corresponding offensiveness rate reaches the preset critical point of the system when waiting personnel wait for the traffic signal lamp>；
S304, the system combines the actual concentration of the intersection and the personnel passing rate, and dynamically adjusts the time of the traffic signal lamp of the intersection by taking the waiting time corresponding to the user offence rate as a reference object; the system is used for analyzing the intensity of the current intersection, and when the intersection is in a crowded state, the actual single intersection passing time is calculated, wherein the calculation formula is as follows The method comprises the steps of carrying out a first treatment on the surface of the Wherein->For systematic analysis of the current crossing congestion situation, the single transit time required to alleviate the congestion situation,/->Number of vehicles passing through a single intersection, +.>For the time of a single vehicle passing through an intersection, +.>Correcting parameters for time; corresponding intersection waiting time value +.>Equal to the transit time value;
when the crossing is crowded, the concentration of the corresponding crossing isWhen in use, will->And->Comparing ifCorrecting the system and outputting the single waiting time as +.>The corresponding single pass time output is +.>Setting an electronic screen at the boundary of the road opening monitoring range, carrying out text or voice prompt on the road congestion of the subsequent vehicles, and carrying out road diversion; if->Outputting the single waiting time as +.>The corresponding single pass time output is +.>And the road is shunted;
when the road is in an unsaturated state, the concentration of the corresponding road is thatAt the same time, the traffic time of the current intersection is calculated, and the calculation formula is +.>The method comprises the steps of carrying out a first treatment on the surface of the Wherein->For the current crossing traffic time, +.>The number of vehicles at the current intersection; then corresponding to single crossing waiting time->The value of (2) and->Equal; will->And->And->Comparing ifThe system is corrected and the single waiting time is output as +. >The corresponding single pass time output is +.>Judging whether to adopt diversion according to the dynamic condition of the road; if->Outputting the single waiting time as +.>The corresponding single pass time output is +.>；
When the road is in an unsaturated state, the concentration of the corresponding road is thatWhen the system is used for analyzing the actual waiting personnel condition of the current intersection, the single waiting time is output as +.>The corresponding single pass time output is +.>The method comprises the steps of carrying out a first treatment on the surface of the Wherein->Dynamic parameters are preset for the system.
In the step S400, the analyzed planning scheme is converted into the input data of the simulation city model through the data, the dynamic evolution is performed through the city model, and the feasibility of the scheme is analyzed according to the evolution result:
s401, inputting an analyzed planning scheme into a simulation city model in a data form, carrying out multi-period dynamic evolution, observing the evolution process of the simulation city, and carrying out comprehensive data analysis on period data;
s402, the system evaluates the current planning scheme according to the evolution result and combines the periodic data analysis, and gives a corresponding feasibility evaluation report.
The city planning system based on city simulation comprises a simulation data acquisition module, a simulation city construction module, a traffic planning module and a simulation evaluation module;
The simulation data acquisition module performs reference according to simulation main parameters through the multi-communication equipment to screen and acquire target city data, and performs time region encapsulation and transmission on acquired data to a simulation center; the simulation city construction module performs inverse deblocking on the packaged data, performs simplified mirror image simulation construction on the city data through three-dimensional virtual space simulation mapping at the view angle of an observer user, and performs dynamic time line simulation development on the virtual city by introducing time four-dimensional attributes to obtain simulation data; the traffic planning module is used for calling historical data of each road in the simulated city, and making dynamic time regulation and control planning for traffic signal lamps of each intersection and making a diversion scheme of traffic flow of each road by analyzing traffic flow of each intersection and traffic flow of people and waiting conditions all the day; the simulation evaluation module converts the analyzed planning scheme into input data of a simulation city model through data, dynamic evolution is carried out through the city model, and feasibility of the scheme is evaluated according to an evolution result.
The simulation data acquisition module comprises a multi-data acquisition unit, a main data screening unit and a data encapsulation unit; the multi-data acquisition unit acquires urban data through satellite equipment above the city, monitoring equipment of each road device of the city and an on-site observation vehicle or person; the main data screening unit screens the collected data according to the simulated main object data, finely collects and stores the road data, and carries out frame collection on the interference data; the interference data includes building data, plant data, and water flow data; the data packaging unit performs data packaging on the collected data by marking specific position data of the city and corresponding data of the collection time point, and transmits the packaged data to the back-end simulation center.
The simulation city construction module comprises a data processing unit, a simulation city construction unit and a simulation city simulation unit; the data processing unit performs inverse deblocking on the packaged data to obtain acquired data, performs dynamic and static data classification on the extracted data in a time attribute mode, performs primary screening and extraction on short-term fixed data in urban data, and constructs a time line difference point data strip in an additional data mode on the dynamic data after the short-term fixed data is extracted; the simulated city building unit utilizes short-term fixed data to simulate and build a framework structure of a city in a simulated virtual space, and the simulated construction of a virtual building is completed by extracting inherent attribute data of the building; performing virtual plant and water flow mapping reproduction by utilizing characteristic attribute data of plants and water flows; the building-inherent properties include the length, width, height and space occupancy of the building; the characteristic properties of the plants and the water flow are color and space occupation ratio; after the initial simulation city is built, the simulation city simulation unit completely grafts the analysis main target data of the current simulation city, and the real road condition is simulated in a virtual simulation space by one-to-one detail through extracting the traffic road data in the real city so as to restore the real road condition in the visual angle of an observer, thereby completing the static construction of the city; the time line difference point data strip formed by the dynamic data is used for carrying out dynamic data implantation on the static city according to the time attribute data, so as to complete the dynamic simulation development of the simulated city; the dynamic data includes traffic flow data and people flow data.
The traffic planning module comprises a road state analysis unit, a waiting personnel state analysis unit and a traffic planning and formulating unit; the road state analysis unit is used for carrying out time period classification analysis on the traffic situation of the all-day road according to the historical data by calling the historical all-day traffic situation data of the trunk road and the branch road in each road of the city, and analyzing the traffic data of a specific intersection according to the classification result; calculating the personnel density of each road intersection in a waiting state in each time period all day by using the area monitoring equipment of each road intersection, analyzing the intensity of the road intersection according to the personnel density in the waiting state, and carrying out time period state analysis on the road intersection state according to the analysis result; the waiting personnel state analysis unit is used for constructing a correlation function model of the offensiveness rate of the waiting personnel by combining the intensity of the intersections and the actual waiting time of the waiting personnel, and calculating and analyzing the optimal waiting time of the waiting personnel through the model; the traffic planning and formulating unit analyzes the time setting scheme of the traffic signal lamp of the road junction by comprehensively analyzing the state of the road junction and the state of waiting personnel, and formulates a corresponding scheme.
The simulation evaluation module comprises a simulation city data evolution unit and a planning evolution feedback unit; the simulation city data evolution unit inputs the analyzed planning scheme into a simulation city model in a data form, performs multi-period dynamic evolution, observes the evolution process of the simulation city, and performs comprehensive data analysis on the period data; and the planning evolution feedback unit evaluates the current planning scheme according to the evolution result and combines the periodic data analysis, and gives a corresponding feasibility evaluation report.
In an embodiment:
urban traffic planning is carried out in a certain city, then the urban traffic planning is carried out through a simulation technology, the urban is subjected to overall architecture data acquisition through satellite equipment above the city, the urban internal data is roughly acquired through monitoring equipment of each road device of the city, and the urban internal data is subjected to detail acquisition through in-situ observation vehicles or people; screening the collected data according to the simulation object, finely collecting and storing road data in the collected data, and carrying out frame collection on interference data; the collected data are subjected to data encapsulation by marking city specific position data and corresponding collecting time point data, and the encapsulated data are transmitted to a back-end simulation center;
The simulation center receives the encapsulated data, extracts the acquired data through inverse deblocking, classifies the extracted data into dynamic and static data according to time attributes, and performs primary screening and extraction on short-term fixed data in urban data; after the short-term fixed data extraction is completed, constructing a time line difference point data strip by the dynamic data in an additional data form; simulating and constructing a framework structure of a city in a simulation virtual space by utilizing short-term fixed data, and completing the simulation and construction of a virtual building by extracting inherent attribute data of the building; performing virtual plant and water flow mapping reproduction by utilizing characteristic attribute data of plants and water flows; after the initial simulation city is built, the analysis main target data of the current simulation city is completely grafted, and the real road condition is simulated in a virtual simulation space through one-to-one detail at the visual angle of an observer by extracting the traffic road data in the real city, so that the static construction of the city is completed; the time line difference point data strip formed by the dynamic data is used for carrying out dynamic data implantation on the static city according to the time attribute data, so as to complete the dynamic simulation development of the simulated city;
In a simulation virtual space for completing city construction, historical all-day traffic situation data of trunk roads and branch roads in all roads of a city are called; according to the historical data, carrying out time period classification analysis on the traffic situation of the all-day road; wherein specific analysis is performed with respect to a certain intersection; the area monitoring equipment of the intersection is utilized to calculate the personnel density of the intersection in a waiting state in a certain time period, and the calculation formula is as followsThe method comprises the steps of carrying out a first treatment on the surface of the Obtaining two density values of +.>，0.9,0.8 respectively; the intensity of the crossing is calculated according to the personnel density in the waiting state, and the calculation formula is +.>The calculation result is 0.87; wherein->，/>The calculation formula of (2) is +.>The method comprises the steps of carrying out a first treatment on the surface of the Based on the history data, the system combines the congestion bearing capacity of the road to give the concentration threshold value of each crossing +.>0.8; due toThe current intersection is crowded; constructing a correlation function model of the offensiveness rate of waiting personnel by combining the intensity of the intersections and the actual waiting time of the waiting personnel, wherein the function formula is +.>The method comprises the steps of carrying out a first treatment on the surface of the Differential calculation is carried out on the original function, and the calculation formula is +.>The method comprises the steps of carrying out a first treatment on the surface of the Taking the derivative function +.>Corresponding time value->Then->30 seconds; the system analyzes waiting personnel to wait for a delivery through historical data When the corresponding offence rate reaches a critical point during the communication signal lamp, the corresponding waiting time is acquired>90 seconds;
because the current intersection is in a crowded state, the current actual single intersection passing time of the intersection is calculated, and the calculation formula is as followsThen->120 seconds; due to the corresponding intersection latency value +.>Equal to the transit time value, thus waiting time of the current intersection +.>Also 120 seconds; due to->Correcting the system and outputting the single waiting time as +.>I.e. 90 seconds; output corresponding to single pass time is +.>I.e. 90 seconds; setting an electronic screen at the boundary of the road opening monitoring range, carrying out text or voice prompt on road congestion on the subsequent vehicles, and carrying out road diversion;
inputting the analyzed planning scheme into a simulated city model in a data form, carrying out multi-period dynamic evolution, observing the evolution process of the simulated city, carrying out comprehensive data analysis on the period data, evaluating the current planning scheme according to the evolution result by combining the period data analysis, and giving a corresponding feasibility report as feasibility.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A city planning method based on city simulation is characterized in that: the method comprises the following steps:
s100, screening and collecting target city data by referring to simulation main parameters through multi-communication equipment, and carrying out time region encapsulation and transmission on the collected data to a simulation center;
s200, the simulation center receives data, reversely unpacks the data according to the package attribute, performs simplified mirror image simulation construction on the city data according to the view angle of an observer user through three-dimensional virtual space simulation mapping, and performs dynamic time line simulation development on the virtual city by introducing the time four-dimensional attribute to obtain simulation data;
S300, in a simulated city model, historical data of each road in a city are called, dynamic time regulation and control planning is formulated for traffic signal lamps of each intersection by analyzing traffic flow and traffic flow passing rate and waiting condition of each intersection all the day, and a diversion scheme of traffic flow of each road is formulated;
s400, converting the analyzed planning scheme into input data of a simulation city model through data, carrying out dynamic evolution through the city model, and analyzing the feasibility of the scheme according to an evolution result.
2. The city planning method based on city simulation of claim 1, wherein: in the step S100, the multi-communication device performs reference according to the simulation main parameters to screen and collect the target city data, and the time region packaging and transmission of the collected data to the simulation center comprises the following specific steps:
s101, carrying out overall architecture data acquisition on a city through satellite equipment above the city, carrying out rough acquisition on internal data of the city through monitoring equipment of each road device of the city, and carrying out detail acquisition on the internal data of the city through on-site observation vehicles or people;
s102, screening the collected data according to the simulation object, finely collecting and storing road data in the collected data, and carrying out frame collection on interference data; the interference data includes building data, plant data, and water flow data;
S103, carrying out data encapsulation on the acquired data by marking specific position data of the city and corresponding acquisition time point data, and transmitting the encapsulated data to a back-end simulation center.
3. The city planning method based on city simulation of claim 2, wherein: in S200, the simulation center receives data, and inversely unpacks the data with the package attribute, and through three-dimensional virtual space simulation mapping, the simulation center performs simplified mirror image simulation construction on the city data with the view angle of the observer user, and then introduces the time four-dimensional attribute to perform dynamic time line simulation development on the virtual city, so as to obtain the simulation data, which comprises the following specific steps:
s201, receiving the encapsulated data by a simulation center, extracting the acquired data through inverse deblocking, classifying the extracted data by dynamic and static data according to time attributes, and carrying out primary screening and extraction on short-term fixed data in urban data; after the short-term fixed data extraction is completed, constructing a time line difference point data strip by the dynamic data in an additional data form; the time line difference point data strip is in a data strip form formed by carrying out data in a time data bearing manner and connecting data in a data point form in series through a time line;
S202, simulating and constructing a framework structure of a city in a simulation virtual space by utilizing short-term fixed data, and completing the simulation and construction of a virtual building by extracting inherent attribute data of the building; performing virtual plant and water flow mapping reproduction by utilizing characteristic attribute data of plants and water flows; the building-inherent properties include the length, width, height and space occupancy of the building; the characteristic properties of the plants and the water flow are color and space occupation ratio;
s203, after the initial simulation city is built, completely grafting the analysis main target data of the current simulation city, and restoring the analysis main target data in the virtual simulation space by simulating the real road condition in one-to-one detail through extracting the traffic road data in the real city to complete the static construction of the city; the time line difference point data strip formed by the dynamic data is used for carrying out dynamic data implantation on the static city according to the time attribute data, so as to complete the dynamic simulation development of the simulated city; the dynamic data includes traffic flow data and people flow data.
4. A city planning method based on city simulation as claimed in claim 3, wherein: in the step S300, in the simulated city model, historical data of each road in the city is retrieved, and the dynamic time regulation and control plan is formulated for the traffic signal lamps of each intersection by analyzing traffic flow and traffic flow passing rate and waiting condition of each intersection all the day, and the specific steps of formulating the diversion scheme of the traffic flow of each road are as follows:
S301, in a simulation virtual space where city construction is completed, historical all-day traffic situation data of trunk roads and branch roads in all roads of a city are called; corresponding label records are carried out on each trunk road and each auxiliary trunk road; according to the historical data, carrying out time period classification analysis on the traffic situation of the all-day road, and analyzing traffic data of specific intersections according to classification results;
s302, calculating the personnel density of the road openings in a waiting state in all day time periods by using the area monitoring equipment of each road opening, wherein the calculation formula is as followsWherein->For the people density in waiting state, +.>Area occupied by people in waiting state, < >>For the number of people in waiting state, +.>The area for allowing people to wait in the crossing monitoring area; obtaining two density values of +.>，/>The method comprises the steps of carrying out a first treatment on the surface of the Wherein->For pedestrian density data in waiting state, +.>Vehicle density data for a waiting state; the intensity of the crossing is calculated according to the personnel density in the waiting state, and the calculation formula is +.>The method comprises the steps of carrying out a first treatment on the surface of the Wherein->Is the concentration of the crossing->、/>For calculating weight corresponding to vehicle density and pedestrian density, the calculation formula is +. >The method comprises the steps of carrying out a first treatment on the surface of the Wherein->For the width of the road of the intersection, +.>The width of the pedestrian road at the intersection; based on the history data, the system combines the congestion bearing capacity of the road to give the concentration threshold value of each crossing +.>The method comprises the steps of carrying out a first treatment on the surface of the To->For comparison object, the concentration degree of a certain intersection is +.>Judging that the current intersection is in a crowded state; if->Judging that the current intersection is in an unsaturated state; distinguishing the dense state of all the time periods of all the days of each intersection according to the analysis mode of the road state, and obtaining the high flow time period, the medium flow time period and the low valley time period of all the days of each intersection; wherein the high flow period is a road congestion state, and the medium flow and low valley periodIs in an unsaturated state of the road; the specific medium flow period is that the road concentration is +.>While the valley period is the road concentration is +.>State of (2);
s303, constructing a correlation function model of the offensiveness rate of the waiting personnel by combining the concentration degree of the intersections and the actual waiting time of the waiting personnel, wherein the function formula is as followsThe method comprises the steps of carrying out a first treatment on the surface of the Wherein->To wait for the rate of offensiveness of the person, +.>For waiting the actual waiting time of the person, +.>Presetting parameters for the system, < >>Correcting parameters for the function; analyzing the time spent by a user waiting for traffic lights at intersections through a function, and obtaining that under the condition of corresponding to different road intersection densities, a point exists in the function curve, and the increase rate of the illegal behavior rate of the user at the point is the maximum value; then differential calculation is carried out on the original function, and the calculation formula is that Taking the differential function +.>Corresponding time value->Then->Optimal waiting time for waiting personnel; wherein->Is the vertical axis maximum on the differential curve; the system analyzes the historical data and obtains the corresponding waiting time when the corresponding offensiveness rate reaches the preset critical point of the system when waiting personnel wait for the traffic signal lamp>；
S304, the system combines the actual concentration of the intersection and the personnel passing rate, and dynamically adjusts the time of the traffic signal lamp of the intersection by taking the waiting time corresponding to the user offence rate as a reference object; the system is used for analyzing the intensity of the current intersection, and when the intersection is in a crowded state, the actual single intersection passing time is calculated, wherein the calculation formula is as followsThe method comprises the steps of carrying out a first treatment on the surface of the Wherein->For systematic analysis of the current crossing congestion situation, the single transit time required to alleviate the congestion situation,/->Number of vehicles passing through a single intersection, +.>For the time of a single vehicle passing through an intersection, +.>Correcting parameters for time; corresponding intersection waiting time value +.>Equal to the transit time value;
when the crossing is crowded, the concentration of the corresponding crossing isWhen in use, will->And->Comparing if->Correcting the system and outputting the single waiting time as +. >The corresponding single pass time output is +.>Setting an electronic screen at the boundary of the road opening monitoring range, carrying out text or voice prompt on the road congestion of the subsequent vehicles, and carrying out road diversion; if->Outputting the single waiting time as +.>The corresponding single pass time output is +.>And the road is shunted;
when the road is in an unsaturated state, the concentration of the corresponding road is thatWhen the traffic time of the current intersection is calculated, the traffic time is calculatedThe formula is->The method comprises the steps of carrying out a first treatment on the surface of the Wherein->For the current crossing traffic time, +.>The number of vehicles at the current intersection; then corresponding to single crossing waiting time->The value of (2) and->Equal; will->And->And->Comparing ifThe system is corrected and the single waiting time is output as +.>The corresponding single pass time output is +.>Judging whether to adopt diversion according to the dynamic condition of the road; if->Outputting the single waiting time as +.>The corresponding single pass time output is +.>；
When the road is in an unsaturated state, the concentration of the corresponding road is thatWhen the system is used for analyzing the actual waiting personnel condition of the current intersection, the single waiting time is output as +.>The corresponding single pass time output is +. >The method comprises the steps of carrying out a first treatment on the surface of the Wherein->Dynamic parameters are preset for the system.
5. The city planning method based on city simulation of claim 4, wherein: in the step S400, the analyzed planning scheme is converted into the input data of the simulation city model through the data, the dynamic evolution is performed through the city model, and the feasibility of the scheme is analyzed according to the evolution result:
s401, inputting an analyzed planning scheme into a simulation city model in a data form, carrying out multi-period dynamic evolution, observing the evolution process of the simulation city, and carrying out comprehensive data analysis on period data;
s402, the system evaluates the current planning scheme according to the evolution result and combines the periodic data analysis, and gives a corresponding feasibility evaluation report.
6. A city planning system based on city simulation is characterized in that: the system comprises a simulation data acquisition module, a simulation city construction module, a traffic planning module and a simulation evaluation module;
the simulation data acquisition module performs reference according to simulation main parameters through the multi-communication equipment to screen and acquire target city data, and performs time region encapsulation and transmission on acquired data to a simulation center; the simulation city construction module performs inverse deblocking on the packaged data, performs simplified mirror image simulation construction on the city data through three-dimensional virtual space simulation mapping at the view angle of an observer user, and performs dynamic time line simulation development on the virtual city by introducing time four-dimensional attributes to obtain simulation data; the traffic planning module is used for calling historical data of each road in the simulated city, and making dynamic time regulation and control planning for traffic signal lamps of each intersection and making a diversion scheme of traffic flow of each road by analyzing traffic flow of each intersection and traffic flow of people and waiting conditions all the day; the simulation evaluation module converts the analyzed planning scheme into input data of a simulation city model through data, dynamic evolution is carried out through the city model, and feasibility of the scheme is evaluated according to an evolution result.
7. The city planning system of claim 6, wherein the city planning system is based on city simulation, and further comprising: the simulation data acquisition module comprises a multi-data acquisition unit, a main data screening unit and a data encapsulation unit; the multi-data acquisition unit acquires urban data through satellite equipment above the city, monitoring equipment of each road device of the city and an on-site observation vehicle or person; the main data screening unit screens the collected data according to the simulated main object data, finely collects and stores the road data, and carries out frame collection on the interference data; the interference data includes building data, plant data, and water flow data; the data packaging unit performs data packaging on the collected data by marking specific position data of the city and corresponding data of the collection time point, and transmits the packaged data to the back-end simulation center.
8. The city planning system of claim 7, wherein the city planning system is based on city simulation, and wherein: the simulation city construction module comprises a data processing unit, a simulation city construction unit and a simulation city simulation unit; the data processing unit performs inverse deblocking on the packaged data to obtain acquired data, performs dynamic and static data classification on the extracted data in a time attribute mode, performs primary screening and extraction on short-term fixed data in urban data, and constructs a time line difference point data strip in an additional data mode on the dynamic data after the short-term fixed data is extracted; the simulated city building unit utilizes short-term fixed data to simulate and build a framework structure of a city in a simulated virtual space, and the simulated construction of a virtual building is completed by extracting inherent attribute data of the building; performing virtual plant and water flow mapping reproduction by utilizing characteristic attribute data of plants and water flows; the building-inherent properties include the length, width, height and space occupancy of the building; the characteristic properties of the plants and the water flow are color and space occupation ratio; after the initial simulation city is built, the simulation city simulation unit completely grafts the analysis main target data of the current simulation city, and the real road condition is simulated in a virtual simulation space by one-to-one detail through extracting the traffic road data in the real city so as to restore the real road condition in the visual angle of an observer, thereby completing the static construction of the city; the time line difference point data strip formed by the dynamic data is used for carrying out dynamic data implantation on the static city according to the time attribute data, so as to complete the dynamic simulation development of the simulated city; the dynamic data includes traffic flow data and people flow data.
9. The city planning system of claim 8, wherein the city planning system is based on city simulation, and wherein: the traffic planning module comprises a road state analysis unit, a waiting personnel state analysis unit and a traffic planning and formulating unit; the road state analysis unit is used for carrying out time period classification analysis on the traffic situation of the all-day road according to the historical data by calling the historical all-day traffic situation data of the trunk road and the branch road in each road of the city, and analyzing the traffic data of a specific intersection according to the classification result; calculating the personnel density of each road intersection in a waiting state in each time period all day by using the area monitoring equipment of each road intersection, analyzing the intensity of the road intersection according to the personnel density in the waiting state, and carrying out time period state analysis on the road intersection state according to the analysis result; the waiting personnel state analysis unit is used for constructing a correlation function model of the offensiveness rate of the waiting personnel by combining the intensity of the intersections and the actual waiting time of the waiting personnel, and calculating and analyzing the optimal waiting time of the waiting personnel through the model; the traffic planning and formulating unit analyzes the time setting scheme of the traffic signal lamp of the road junction by comprehensively analyzing the state of the road junction and the state of waiting personnel, and formulates a corresponding scheme.
10. The city planning system of claim 9, wherein the city planning system is based on city simulation, and wherein: the simulation evaluation module comprises a simulation city data evolution unit and a planning evolution feedback unit; the simulation city data evolution unit inputs the analyzed planning scheme into a simulation city model in a data form, performs multi-period dynamic evolution, observes the evolution process of the simulation city, and performs comprehensive data analysis on the period data; and the planning evolution feedback unit evaluates the current planning scheme according to the evolution result and combines the periodic data analysis, and gives a corresponding feasibility evaluation report.
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