CN115953894A - Method, device, equipment and medium for evaluating traffic performance of urban road network layout - Google Patents
Method, device, equipment and medium for evaluating traffic performance of urban road network layout Download PDFInfo
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Abstract
The invention relates to the technical field of road network layout, and discloses a traffic performance evaluation method, a device, equipment and a medium for urban road network layout, wherein the method comprises the steps of obtaining model input data, wherein the model input data comprises road network density, road network long edge coefficients, traffic organization data and traffic flow data; establishing traffic simulation models under different scene conditions based on model input data; determining signal timing conditions of the intersection in the traffic simulation model; acquiring traffic evaluation indexes output by a traffic simulation model, and screening the traffic evaluation indexes to obtain basic indexes; wherein the basic indexes comprise the average speed of the road network and the total parking times; and obtaining the traffic performance index of the whole road network according to the average speed of the road network and the total parking times. The method can quickly, flexibly and finely evaluate the quantitative influence rule of different road network layout forms on the traffic performance of the road network, and meets the requirements of city planning and traffic planning scheme compilation.
Description
Technical Field
The invention relates to the technical field of road network layout, in particular to a method, a device, equipment and a medium for evaluating traffic performance of urban road network layout.
Background
At present, the traffic performance of an urban road network plays an important supporting role in urban social development and has an important influence on urban traffic efficiency and citizen trip experience. The unreasonable urban road network layout form restricts the exertion of road network traffic efficiency and is easy to cause urban diseases such as traffic jam and the like. In recent years, along with the continuous advocated road layout concept of 'narrow roads and dense road networks' in China, the community boundaries need to reach 8 kilometers per square kilometer of the urban center and urban area road network density to reach consensus, road network planning gradually turns back the concept of 'vehicle location', and more importantly, increases the road network density to embody 'people oriented'. However, the prior art focuses on analyzing the influence rule of different road network densities on the bearing capacity of the road network, and cannot explain the traffic performance conditions corresponding to different road network layout forms under the same road network density condition.
The existing evaluation technology aiming at the traffic performance of a road network mainly comprises a subjective experience method and a macroscopic traffic model method. The subjective experience method mainly comprises the steps of comparing the planning land volume ratio, the road network layout form and the road network density condition of areas with similar conditions, and referring to the road network traffic operation condition after the road network is built to decide the road network planning layout scheme of the newly-built areas; a macroscopic traffic model method mainly utilizes traffic demand prediction software such as VISUM and TransCAD and a four-stage method based on traffic demand prediction to predict traffic travel demand characteristics aiming at land planning volume ratio and road network schemes, distributes traffic flow to each road section, predicts road section saturation and further judges traffic operation conditions of the road network under the traffic demand condition.
However, the above conventional evaluation technology for road network traffic performance has the following disadvantages: the subjective experience method can only be used as a qualitative reference of a planning scheme, is difficult to quantitatively explain the influence rules of different road network layout forms on traffic performance, and cannot provide quantitative support for decision optimization of the road network layout forms and the road network planning design scheme. The operation flow of the macroscopic traffic model method is complex and inflexible, and a complex traffic demand prediction four-stage method needs to be completed by inputting various conditions such as land occupation volume ratio, land type, road network planning layout and design scheme. Meanwhile, the macroscopic traffic model method can only output the road section saturation, and other characteristics of the traffic operation of the road network, such as the average speed of the road network, the parking times and the like, are difficult to analyze. In addition, the macroscopic traffic model is difficult to quickly determine or optimize an ideal traffic signal timing scheme at each intersection, so that the simulation evaluation accuracy and the scene flexibility are greatly restricted.
In summary, the evaluation technology of road network traffic performance in the prior art cannot quickly and finely evaluate the influence of different road network layout forms on the traffic performance, and is difficult to meet the requirements of city planning and traffic planning scheme compilation.
Disclosure of Invention
The invention provides a traffic performance evaluation method, a device, equipment and a medium for urban road network layout, which can quickly, flexibly and finely evaluate the quantitative influence rule of different road network layout forms on the traffic performance of the urban road network layout, improve the working efficiency of urban road network planning layout and meet the requirements of urban planning and traffic planning scheme compilation.
In a first aspect, to solve the above technical problem, the present invention provides a traffic performance evaluation method for an urban road network layout, including:
obtaining model input data, wherein the model input data comprises road network density, road network long edge coefficient, traffic organization data and traffic flow data;
establishing traffic simulation models under different scene conditions based on the model input data;
determining signal timing conditions of the intersection in the traffic simulation model;
acquiring a traffic evaluation index output by the traffic simulation model, and screening the traffic evaluation index to obtain a basic index; the basic indexes comprise road network average speed and total parking times;
and obtaining the traffic performance index of the whole road network according to the average speed of the road network and the total parking times.
Preferably, the building of traffic simulation models under different scene conditions based on the model input data includes:
calculating to obtain the length of the short side of the road section and the length of the long side of the road section according to the road network density and the road network long side coefficient; the road network long edge coefficient is the ratio of the length of a long edge of a road section to the length of a short edge of the road section;
constructing a road network topological structure based on the length of the short side of the road section and the length of the long side of the road section;
and calibrating road and traffic flow conditions on the road network topological structure according to the traffic organization data and the traffic flow data to obtain a traffic simulation model.
Preferably, the determining the signal timing conditions of the intersection in the traffic simulation model includes:
respectively selecting each intersection, and generating an initial signal timing condition by adopting a self-adaptive signal control form of each intersection;
and respectively optimizing the phase sequence and the period duration of the initial signal timing condition to obtain the signal timing condition.
Preferably, the calculating, according to the road network density and the road network long edge coefficient, a length of a short edge of a road segment and a length of a long edge of a road segment includes:
x′＝kx
wherein k is a road network long edge coefficient; s is road network density, km/km 2 (ii) a x is the length of the short side of the road section, km; and x' is the length of the long side of the road section, km.
Preferably, the obtaining of the traffic performance index of the whole road network according to the average speed of the road network and the total number of parking includes:
calculating to obtain the average required travel time per kilometer in the whole road network according to the average speed of the road network;
calculating to obtain the average total parking times per second in the whole road network according to the total parking times;
and calculating the sum of the average travel time required per kilometer and the average total parking times per second to obtain the traffic performance index of the whole road network.
Preferably, the obtaining of the traffic performance index of the whole road network according to the average speed of the road network and the total number of stops specifically includes:
wherein, V AS The average speed of the road network, km/h; z TS The total number of parking times; t is 0 Average required travel time per kilometer in the overall road network, minutes (mi n); z 0 Is a whole roadAverage total number of stops per second in the net, times/second (1/s); y is 0 The traffic performance index of the whole road network is obtained.
Preferably, the traffic evaluation index comprises control delay, queuing delay, vehicle-average delay, total delay, vehicle-average parking times, total parking times, road network average speed, fuel consumption, traffic emission, number of unworked vehicles and number of vehicles trapped in a dilemma.
In a second aspect, the present invention provides a traffic performance evaluation device for urban road network layout, comprising:
the data acquisition module is used for acquiring model input data, wherein the model input data comprises road network density, road network long edge coefficient, traffic organization data and traffic flow data;
the model building module is used for building traffic simulation models under different scene conditions based on the model input data;
the signal timing module is used for determining the signal timing condition of the intersection in the traffic simulation model;
the index screening module is used for acquiring the traffic evaluation index output by the traffic simulation model and screening the traffic evaluation index to obtain a basic index; the basic indexes comprise road network average speed and total parking times;
and the performance evaluation module is used for obtaining the traffic performance index of the whole road network according to the average speed of the road network and the total parking times.
In a third aspect, the present invention further provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, the processor implements the traffic performance evaluation method for urban road network layout described in any one of the above.
In a fourth aspect, the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program, where when the computer program runs, a device in which the computer-readable storage medium is located is controlled to execute the traffic performance evaluation method for urban road network layout described in any one of the above.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a traffic performance evaluation method of urban road network layout, which comprises the steps of obtaining model input data, wherein the model input data comprise road network density, road network long edge coefficient, traffic organization data and traffic flow data; establishing traffic simulation models under different scene conditions based on the model input data; determining signal timing conditions of the intersection in the traffic simulation model; acquiring traffic evaluation indexes output by the traffic simulation model, and screening the traffic evaluation indexes to obtain basic indexes; the basic indexes comprise road network average speed and total parking times; and obtaining the traffic performance index of the whole road network according to the average speed of the road network and the total parking times. The method can quickly, flexibly and finely evaluate the quantitative influence rule of different road network layout forms on the traffic performance of the road network, improves the working efficiency of urban road network planning layout, and meets the requirements of urban planning and traffic planning scheme compilation.
Drawings
Fig. 1 is a schematic flow chart of a traffic performance evaluation method for urban road network layout according to a first embodiment of the present invention;
fig. 2 is a schematic diagram of a road network topology and traffic organization data provided by an embodiment of the present invention;
FIG. 3 is a schematic diagram of a traffic simulation model in a layout form of each road network established based on Synchro;
FIG. 4 is a graph comparing average speeds of different road networks under various flow conditions;
FIG. 5 is a comparison graph of total parking times for different road networks under various flow conditions;
FIG. 6 is a comparison graph of traffic performance indexes of different road networks under various flow conditions;
fig. 7 is a schematic structural diagram of a traffic performance evaluation device for urban road network layout according to a second 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.
Referring to fig. 1, a first embodiment of the present invention provides a traffic performance evaluation method for an urban road network layout, including the following steps:
s11, obtaining model input data, wherein the model input data comprise road network density, road network long edge coefficient, traffic organization data and traffic flow data;
s12, establishing traffic simulation models under different scene conditions based on the model input data;
s13, determining signal timing conditions of the intersection in the traffic simulation model;
s14, obtaining the traffic evaluation indexes output by the traffic simulation model, and screening the traffic evaluation indexes to obtain basic indexes; the basic indexes comprise road network average speed and total parking times;
and S15, obtaining the traffic performance index of the whole road network according to the average speed of the road network and the total parking times.
In step S11, first, model input data including road network density, road network long-side coefficient, traffic organization data, and traffic flow data is acquired.
It should be noted that, in order to explore the rule of influence of the road network layout form on the traffic performance, the invention proposes the following indexes, assuming that the land utilization range is 1 square kilometer, the road network form is a checkerboard type, and the short side is x meters long: and (3) a road network long edge coefficient k (the ratio of the long edge length to the short edge length), wherein the long edge length is kx meters, the road network density is S, and the short edge length and the long edge length can be rapidly determined based on the road network density and the long edge coefficient:
k: the new index provided by the invention, namely the ratio of the long edge to the short edge of a block formed by enclosing the road network, is dimensionless;
x: the length of the short side of the road network enclosing the block is km;
x': the length of a long edge of a road network enclosing a block is km;
s: road network density, km/km 2 。
Further, under the concept of road layout of a narrow-road dense road network, in combination with the existing practical experience, a road network generally has two types of one-way traffic organization and two-way traffic organization, and specific examples of the traffic organization data are as follows:
t1: the one-way traffic organization means that all roads are allowed to run in one direction only;
ln1: the number of the one-way lanes of the road section under the one-way traffic organization is dimensionless;
ln1': under the one-way traffic organization, the number of the lanes of the inlet road after the crossroad is widened is dimensionless;
t2: two-way traffic organization, i.e. all roads allow two directions of travel;
ln2: the number of one-way lanes of the road section under the two-way traffic organization is dimensionless;
ln2': the number of the lanes of the entrance road after the crossroad is widened under the two-way traffic organization.
Further, in order to explore the traffic performance conditions of different road layout forms under different traffic flow levels and steering proportions, the traffic flow data comprises:
q0: single lane traffic level, pcu/h;
cL: the left-turn traffic accounts for the proportion of the traffic on the inlet road,%;
and cS: executing the proportion of the traffic flow in the traffic flow of the entrance road;
cR: the right-turn traffic accounts for the proportion of the traffic on the inlet road by%.
In step S12, traffic simulation models under different scene conditions are established based on the model input data. In one embodiment, the building of the traffic simulation model under different scene conditions based on the model input data comprises:
calculating to obtain the length of the short side of the road section and the length of the long side of the road section according to the road network density and the road network long side coefficient; the road network long edge coefficient is the ratio of the length of a long edge of a road section to the length of a short edge of the road section;
constructing a road network topological structure based on the length of the short side of the road section and the length of the long side of the road section;
and calibrating road and traffic flow conditions on the road network topological structure according to the traffic organization data and the traffic flow data to obtain a traffic simulation model.
Wherein, according to the road network density and the road network long edge coefficient, calculating to obtain the length of the short edge of the road section and the length of the long edge of the road section, specifically comprising:
x ′ ＝kx
wherein k is a road network long edge coefficient; s is road network density, km/km 2 (ii) a x is the length of the short side of the road section, km; and x' is the length of the long side of the road section, km.
In the specific implementation, a microscopic traffic simulation model of each road network scene can be established based on Synchro simulation software, and the signal timing of the intersection is set. The method is characterized in that the existing microscopic traffic simulation software is utilized to carry out road network traffic performance evaluation, the existing software tool is used in an integrated innovation mode of a traffic performance evaluation method, namely, a road network layout scheme, a traffic organization scheme and a traffic flow input scheme design method under different long-edge coefficients are provided in the previous step, and a novel evaluation index system for the road network performance under different scene conditions is constructed in the subsequent step on the basis of the Synchro microscopic traffic simulation, namely, the microscopic traffic simulation Synchro software is innovatively used, and a set of technology for evaluating the traffic performance in a road network layout mode is provided.
Specifically, when constructing the traffic simulation model under different scene conditions, the following steps may be adopted:
1) Establishing a base map: constructing a vector scheme under the density and long-edge coefficient of a specific road network based on AutoCAD, and outputting a dxf file as a base map for micro traffic simulation modeling in Synchro;
2) Constructing a synchronous road network basic model according to a base map: constructing a road network topological structure according to a base map;
3) Setting the number of road sections and road junctions: setting the number of lanes at the road section according to the topological structure of the road network and traffic organization data, combining general experience, widening the number of lanes at the intersection inlet according to the principle that the number of lanes at the road section is 1.5 times, and setting the number of lanes for turning left, going straight and turning right;
4) Inputting traffic flow data: and inputting the inlet lane traffic scheme by combining left-turn, straight-going and right-turn ratios cL, c and cR according to the set lane number and single lane traffic scheme.
In step S13, signal timing conditions of the intersection in the traffic simulation model are determined. In one embodiment, the determining the signal timing conditions of the intersection in the traffic simulation model includes:
respectively selecting each intersection, and generating an initial signal timing condition by adopting a self-adaptive signal control form of each intersection;
and respectively optimizing the phase sequence and the period duration of the initial signal timing condition to obtain the signal timing condition.
Specifically, intersection signal timing schemes can be set by using Synchro software, and the schemes comprise:
1) Setting a crossing signal control form: respectively selecting each intersection, and adopting an 'Actd-Uncrd' signal control form, namely a self-adaptive signal control form of each intersection in the region by utilizing a built-in traffic signal timing optimization tool of the Synchro;
2) Setting an intersection signal control initial scheme: and respectively optimizing the phase sequence and the cycle length of the intersection signal timing scheme by using the Optimize Split function and the Optimize CycleLength function.
In step S14, obtaining a traffic evaluation index output by the traffic simulation model, and screening the traffic evaluation index to obtain a basic index; the basic indexes comprise road network average speed and total parking times. The traffic evaluation indexes comprise control delay, queuing delay, vehicle average delay, total delay, vehicle average parking times, total parking times, road network average speed, fuel consumption, traffic emission, the number of non-service vehicles and the number of vehicles trapped in a dilemma area.
It can be understood that after the traffic simulation model is established and the signal timing conditions are all prepared, the next microscopic traffic simulation program and index output work can be developed. Based on Synchro simulation, a traffic operation index result is obtained, different traffic operation simulation evaluation parameters need to be output for different traffic simulation purposes, and in order to evaluate traffic performance indexes under different road layout forms, the following traffic indexes under various road network scenes are obtained by utilizing a report generation function of Synchro:
(1) Outputting microscopic traffic operation simulation evaluation index
After the traffic simulation of each scene road network is operated, a ' file-generation report ' is clicked, and ' Measure(s) of influence (road network performance) is selected in an output index selection box, so that 11 indexes such as Control Delay, queue Delay, total Delay, stop, total stop, avg Speed, fuel Consumption, emissions, unserved Vehicles, and digital Zone Vehicles can be generated.
(2) Setting the range of interest of the output index
And selecting the Network/Zone Total at the Level(s) of Detail in the output index selection box, namely, the evaluation range is the whole road Network range.
It should be noted that, because the output indexes are more, the traffic operation performance evaluation is taken as a guide to screen the output indexes. Considering the correlation among different indexes and the connotation of road network traffic performance, taking the 'quickness and smoothness' of road traffic as a target, selecting Avg Speed (road network average Speed) and Total Stops (Total parking times) as basic indexes of road network traffic performance evaluation, namely:
evaluation index 1, road network average Speed (Avg Speed, VAS): representing the 'shortcut' degree (Km/h) of the road network operation, wherein the larger the index is, the larger the average speed of the road network is, the smaller the traffic jam and delay degree is;
evaluation index 2, total number of Stops (Total Stops, ZTS): the degree of 'smooth' running of the road network is represented, the larger the index is, the larger the total parking times of the road network is, the smoother the vehicle running is, the more the number of road junctions caused by the bypassing of the path is, and the like.
In step S15, obtaining a traffic performance index of the entire road network according to the average speed of the road network and the total number of stops includes:
calculating to obtain the average required travel time per kilometer in the whole road network according to the average speed of the road network;
calculating to obtain the average total parking times per second in the whole road network according to the total parking times;
and calculating the sum of the average travel time required per kilometer and the average total parking times per second to obtain the traffic performance index of the whole road network.
Specifically, the traffic performance index is calculated by the following formula:
wherein, V AA The average speed of the road network, km/h; z TS The total number of parking times; t is 0 Average required travel time per kilometer in the overall road network, minutes (mi n); z 0 The average total parking times per second in the whole road network are 1/s; y is 0 The traffic performance index of the whole road network.
It should be noted that, in general, the larger the average speed of the road network is, the better the total number of stops of the road network is, the smaller the total number of stops of the road network is, and therefore, the two indexes are converted and combined in combination with the average scale of the indexes, and the traffic performance is evaluated by combining the obtained traffic performance indexes.
The method for evaluating the traffic performance of the urban road network layout can quickly, flexibly and finely evaluate the quantitative influence rule of different road network layout forms on the traffic performance of the urban road network layout, and improves the scientificity and the working efficiency of the urban road network layout in urban planning and traffic planning, and has the advantages that:
firstly, aiming at a checkerboard type road network form (namely a common road network form of a narrow road dense road network), a 'long-edge coefficient' index is newly provided, and a road network layout scheme under the same road network density condition and different road network layout forms is quickly determined by combining with the road network density;
secondly, optimizing a road network traffic performance evaluation technology, establishing a microcosmic road network traffic simulation model and a signal timing scheme based on the traditional Synchro software for optimizing a signal timing scheme of the intersection, and forming a whole set of method flow and operation steps for evaluating the road network traffic performance;
and thirdly, road network traffic performance evaluation indexes are improved, a synchronous micro-traffic simulation output index is planned, and a set of novel road network traffic performance evaluation index system is established from the traffic 'quickness' represented by the average required travel time per kilometer and the traffic 'smoothness' represented by the number of vehicle-to-vehicle stops per minute.
In order to facilitate an understanding of the invention, some preferred embodiments of the invention will now be described.
As shown in table 1, six road network modes a, b, c, d, e, and f are set, and 10 traffic flow levels from low to high are set. Wherein, the flow levels of 10 traffic vehicles from low to high are as follows: q0 is respectively set to be ten conditions of 100pcu/h, 200pcu/h, 300pcu/h, 400pcu/h, 500pcu/h, 600pcu/h, 700pcu/h, 800pcu/h, 900pcu/h, 1000pcu/h and the like, and the traffic operation parameters of each road network under each flow condition are respectively simulated and evaluated; the proportion of turning left, going straight and turning right is uniformly selected from 15%, 70% and 15%, namely: cL =15%, cS =15%, cR =15%.
TABLE 1 road network layout and traffic flow scheme
Then, establishing a Synchro microscopic traffic simulation model, and setting signal timing conditions of the intersection, wherein the signal timing conditions comprise the following steps: (1) Establishing a road network base map of microscopic traffic simulation, as shown in FIG. 2; (2) Constructing a traffic simulation model based on Synchro, and calibrating road and flow conditions, as shown in FIG. 3; (3) Taking road network c as an example, road network signal timing conditions are generated at a traffic flow level of q0 of 300 pcu/h.
And finally, evaluating 3 indexes of the average speed of the road network, the total parking times and the traffic performance index.
Under the condition of each traffic flow level, 3 indexes of the average speed, the total parking times and the traffic performance index of all the road networks are respectively shown in fig. 4, fig. 5 and fig. 6, and it can be known that:
average speed of road network: as the traffic flow rate gradually increases, the average speeds of the road networks a, a ', b ', c ' all show a decreasing trend. On one hand, the road networks a ', b ' and c ' obviously show better speed retentivity, and the average speed is slowly reduced along with the increase of the traffic flow, which indicates that the average speed of the road networks can be obviously improved by the one-way traffic organization; on the other hand, in the average speed of the road networks, road network c ' > road network b ' > road network a ', road network c > road network b > road network a indicate that increasing the long-side coefficient has a positive effect on maintaining a high average speed of the road networks.
Total number of stops: with the gradual increase of the traffic flow, on one hand, the road network a ' > a, the road network b ' > b and the road network c ' > c in the total parking times of the road network indicate that the one-way traffic organization can increase the parking times of the road network, and the analysis of the cause of the increase should be due to the fact that the one-way traffic organization causes more vehicles to detour;
on the other hand, of the total number of parking times of the road network, the road network c < road network b < road network a, and the road network c ' < road network b ' < road network a ' indicate that increasing the long-side coefficient is advantageous for reducing the total number of parking times of the road network.
Traffic performance index: along with the gradual increase of traffic flow, the traffic performance indicates a plurality of types, namely, the road network c ' < road network b ' < road network a ' < road network c < road network b < road network a, and the smaller the traffic performance index is, the better the running condition of the road network is represented, so that the comprehensive performance is shown, meanwhile, the one-way traffic organization and the increase of the long edge coefficient are simultaneously beneficial to the improvement of the traffic performance of the road network on the whole.
In summary, the invention has the following advantages:
(1) The technical idea is as follows: novel and effective
The traffic signal timing optimization software Synchro is utilized to evaluate the traffic performance of different road network layout forms, the intelligent traffic control technology is enabled to make urban road network planning scheme decisions, the integrated innovation of the intelligent traffic technology is realized, and the method can be widely applied to urban planning projects such as controllable detailed planning, urban design and urban updating, and traffic projects such as special road network planning and traffic detailed design, and the scientificity of urban road network planning layout is improved.
(2) And (4) evaluation results: quantitative and fine:
the invention provides quantitative indexes such as the average speed of the road network, the total parking times of the road network, the road network traffic performance index and the like aiming at the road network traffic performance evaluation, and compared with the traditional subjective experience method, the quantitative evaluation of the road network traffic performance is realized; compared with the traditional macroscopic traffic simulation model method, the method has the advantages that firstly, the comprehensive evaluation from single saturation index evaluation to diversified and refined indexes such as travel speed, parking times and the like which are closely related to traffic travel experience is realized; and secondly, the evaluation of the traffic performance of the road network under the condition of a calibration signal timing scheme is realized, so that a traffic simulation scene is closer to and more flexible than a real condition.
(3) The method comprises the following steps: simple and convenient, swift:
the traditional macroscopic traffic simulation model method needs to go through a four-step method of traffic generation, traffic distribution, mode division and traffic distribution to obtain a single evaluation index of road section saturation, but the method weakens the characteristics of specific traffic demands, and can obtain traffic operation indexes in various aspects by adopting three steps of road network design, microscopic modeling and simulation output so as to realize more complete road network traffic performance evaluation by a simpler and faster method flow.
(4) The smaller the traffic performance index is, the better the running condition of the road network is represented, so that the comprehensive performance is shown, meanwhile, the one-way traffic organization and the long edge coefficient are increased, and the traffic performance of the road network is improved generally. After the traffic performance index of the whole road network is obtained subsequently, the traffic performance of the road network can be evaluated according to the traffic performance index, so that the rationality of road network planning is improved, and traffic jam is avoided.
Referring to fig. 7, a second embodiment of the present invention provides a traffic performance evaluation device for urban road network layout, including:
the data acquisition module is used for acquiring model input data, wherein the model input data comprises road network density, road network long edge coefficient, traffic organization data and traffic flow data;
the model building module is used for building traffic simulation models under different scene conditions based on the model input data;
the signal timing module is used for determining the signal timing condition of the intersection in the traffic simulation model;
the index screening module is used for acquiring the traffic evaluation index output by the traffic simulation model and screening the traffic evaluation index to obtain a basic index; the basic indexes comprise road network average speed and total parking times;
and the performance evaluation module is used for obtaining the traffic performance index of the whole road network according to the average speed of the road network and the total parking times.
It should be noted that the traffic performance evaluation apparatus for urban road network layout according to the embodiment of the present invention is configured to execute all the process steps of the traffic performance evaluation method for urban road network layout according to the embodiment, and the working principles and beneficial effects of the two are in one-to-one correspondence, and thus are not described in detail.
The embodiment of the invention also provides the terminal equipment. The terminal device includes: a processor, a memory and a computer program stored in and executable on said memory, such as a traffic performance evaluation program for a city road network layout. When executing the computer program, the processor implements the steps in the above-mentioned traffic performance evaluation method embodiments of each urban road network layout, for example, step S11 shown in fig. 1. Alternatively, the processor, when executing the computer program, implements the functions of the modules/units in the above-mentioned device embodiments, such as a performance evaluation module.
Illustratively, the computer program may be partitioned into one or more modules/units that are stored in the memory and executed by the processor to implement the invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used for describing the execution process of the computer program in the terminal device.
The terminal device can be a desktop computer, a notebook, a palm computer, an intelligent tablet and other computing devices. The terminal device may include, but is not limited to, a processor, a memory. It will be appreciated by those skilled in the art that the above components are merely examples of a terminal device and do not constitute a limitation of a terminal device, and that more or fewer components than those described above may be included, or certain components may be combined, or different components may be included, for example, the terminal device may also include input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like, said processor being the control center of said terminal device, and various interfaces and lines are used to connect the various parts of the whole terminal device.
The memory may be used for storing the computer programs and/or modules, and the processor may implement various functions of the terminal device by executing or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
Wherein, the terminal device integrated module/unit can be stored in a computer readable storage medium if it is implemented in the form of software functional unit and sold or used as an independent product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the apparatus provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.
The above-mentioned embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, and it should be understood that the above-mentioned embodiments are only examples of the present invention and are not intended to limit the scope of the present invention. It should be understood that any modifications, equivalents, improvements and the like, which come within the spirit and principle of the invention, may occur to those skilled in the art and are intended to be included within the scope of the invention.
Claims (10)
1. A traffic performance evaluation method for urban road network layout is characterized by comprising the following steps:
obtaining model input data, wherein the model input data comprises road network density, road network long edge coefficient, traffic organization data and traffic flow data;
establishing traffic simulation models under different scene conditions based on the model input data;
determining signal timing conditions of the intersection in the traffic simulation model;
acquiring traffic evaluation indexes output by the traffic simulation model, and screening the traffic evaluation indexes to obtain basic indexes; the basic indexes comprise road network average speed and total parking times;
and obtaining the traffic performance index of the whole road network according to the average speed of the road network and the total parking times.
2. The method according to claim 1, wherein said building traffic simulation models under different scene conditions based on said model input data comprises:
calculating the length of the short side of the road section and the length of the long side of the road section according to the road network density and the road network long side coefficient; the road network long edge coefficient is the ratio of the length of a long edge of a road section to the length of a short edge of the road section;
constructing a road network topological structure based on the length of the short side of the road section and the length of the long side of the road section;
and calibrating road and traffic flow conditions on the road network topological structure according to the traffic organization data and the traffic flow data to obtain a traffic simulation model.
3. The method according to claim 1, wherein said determining signal timing conditions of intersections in said traffic simulation model comprises:
respectively selecting each intersection, and generating an initial signal timing condition by adopting a self-adaptive signal control form of each intersection;
and respectively optimizing the phase sequence and the period duration of the initial signal timing condition to obtain the signal timing condition.
4. The method as claimed in claim 2, wherein the step of calculating the length of short side of road segment and the length of long side of road segment according to the road network density and the road network long side coefficient comprises:
x′＝kx
wherein k is a road network long edge coefficient; s is road network density, km/km 2 (ii) a x is the length of the short side of the road section, km; and x' is the length of the long side of the road section, km.
5. The method of claim 1, wherein said obtaining a traffic performance index of an entire road network according to said average speed of road network and said total number of stops comprises:
calculating to obtain the average required travel time per kilometer in the whole road network according to the average speed of the road network;
calculating to obtain the average total parking times per second in the whole road network according to the total parking times;
and calculating the sum of the average travel time required per kilometer and the average total parking times per second to obtain the traffic performance index of the whole road network.
6. The method according to claim 5, wherein said obtaining a traffic performance index of the entire road network according to said average speed of the road network and said total number of stops specifically comprises:
wherein, V AS The average speed of the road network, km/h; z TS The total number of parking times; t is 0 Average required travel time per kilometer in the whole road network, in minutes (min); z is a linear or branched member 0 The average total parking times per second in the whole road network, times/second (1/s); y is 0 The traffic performance index of the whole road network is obtained.
7. The method of claim 1, wherein said traffic evaluation criteria comprises control delay, queue delay, average vehicle delay, total delay, average vehicle number of stops, total number of stops, average road network speed, fuel consumption, traffic emissions, number of non-serviced vehicles, number of vehicles involved in a dilemma.
8. A traffic performance evaluation device for urban road network layout is characterized by comprising:
the data acquisition module is used for acquiring model input data, wherein the model input data comprises road network density, road network long edge coefficient, traffic organization data and traffic flow data;
the model building module is used for building traffic simulation models under different scene conditions based on the model input data;
the signal timing module is used for determining the signal timing condition of the intersection in the traffic simulation model;
the index screening module is used for acquiring the traffic evaluation index output by the traffic simulation model and screening the traffic evaluation index to obtain a basic index; the basic indexes comprise road network average speed and total parking times;
and the performance evaluation module is used for obtaining the traffic performance index of the whole road network according to the average speed of the road network and the total parking times.
9. A terminal device comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the method for traffic performance assessment of a urban road network layout according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, comprising a stored computer program, wherein when the computer program runs, the computer-readable storage medium controls a device to execute the traffic performance assessment method according to any one of claims 1 to 7.
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