Construction guidance and modification and road traffic linkage dispersion method based on digital twinning

Abstract

The invention provides a construction guidance and modification and road traffic linkage dispersion method based on digital twinning, and the method is characterized in that the method comprises the following steps: S1, obtaining the historical data, construction parameters, and environment parameters of road traffic; s2, establishing a traffic dispersion model and a four-dimensional construction simulation model; s3, inputting the environment parameters and the construction parameters into the four-dimensional construction simulation model, and predicting the construction progress to obtain construction time T; s4, inputting historical data and environmental parameters of road traffic into the traffic dispersion model, and predicting a road traffic congestion condition; according to the construction guidance and modification and road traffic linkage dispersion method based on digital twinning, monitoring data of previous traffic flow, road occupation parameters and environmental parameters are input into a traffic dispersion and four-dimensional construction simulation model, and therefore the influence situation on traffic under the corresponding road occupation working condition is output. According to a simulation result, a traffic management department can publish congestion early warning information in advance before construction.

Description

Technical Field

[0001] The present invention belongs to the technical field of urban road traffic monitoring, and specifically relates to a construction guidance and road traffic linkage guidance method based on digital twins. Background Art

[0002] With the rapid advancement of urbanization, the number of motor vehicles in my country has also increased rapidly. Coupled with the surge in the volume of cargo circulation in my country, the accompanying problem of truck overloading has become increasingly serious, which has caused serious damage to infrastructure such as roads and bridges. In addition to increasing a large amount of maintenance costs, there are also a large number of safety hazards. In order to ensure road safety, it is particularly important to repair damaged road surfaces in a timely manner. On the other hand, in order to alleviate the traffic pressure on existing roads, planning new roads is also a common measure.

[0003] However, whether it is repairing existing roads or building new roads, it will cause certain road traffic congestion. If the traffic congestion can be simulated based on the daily vehicle traffic data of the road and the parameters of the road occupation construction, it is possible to simulate and predict the traffic congestion caused by temporary road occupation, so as to divert traffic in advance and reduce traffic congestion. Summary of the invention

[0004] The purpose of the present invention is to provide a construction guidance and road traffic linkage guidance method based on digital twins, so as to solve the problems of real-time traffic condition monitoring and road condition prediction of road sections with temporary road occupation.

[0005] To achieve the above-mentioned purpose, the present invention provides a construction guidance and road traffic linkage guidance method based on digital twin, which is characterized by comprising the following steps:

[0006] Step S1, obtaining historical data of road traffic, construction parameters, and environmental parameters;

[0007] Step S2, establishing a traffic diversion model and a four-dimensional construction simulation model;

[0008] Step S3: Input the environmental parameters and construction parameters into the four-dimensional construction simulation model to predict the construction progress and obtain the construction time T 工 ;

[0009] Step S4: inputting historical data of road traffic and environmental parameters into the traffic diversion model to predict road traffic congestion.

[0010] Furthermore, the historical data of road traffic in step S1 includes the traffic volume, speed, time occupancy, average vehicle length, and average vehicle spacing through the predicted road in each time period of each day in the last D days; the construction parameters include the number of construction personnel, material purchase, material transportation, material reserves, construction plan adjustment, completed construction time, etc.; the environmental parameters include weather, temperature, and road surface conditions.

[0011] Furthermore, the four-dimensional construction simulation model predicts the construction time T 工 :

[0012]

[0013] Among them, T i =α1χ1+α2χ2+......+α n χ n , T i represents the predicted duration of the i-th construction process, m represents the number of construction processes, α n represents the bias coefficient of the nth construction parameter, α n =a*D, where a is the coefficient, D is the number of construction days for the i-th construction process, and χ n Indicates the influence of the nth construction parameter, with a value range of (0, 1, 2, 3, 4), ω i is the random error of the i-th construction process.

[0014] Furthermore, the traffic diversion model calculates the congestion time T of the nth segment on the mth day based on historical data. (m，n) :

[0015]

[0016] Among them, T (m，n) is the congestion time of the nth segment on the mth day, t (i，j) is the congestion time of the jth section on the i-th day in the historical data, λ and γ are adjustment parameters, and their specific values ​​are adjusted according to the actual road section information, K i is the traffic flow slope of the i-th day in the historical data, k is the average traffic flow slope of the D-th day, D is the number of days of historical data; when the traffic flow slope K on the i-th day i If it is less than the traffic flow slope k of the road section, the second term in the formula is a negative value, and the congestion formation time is relatively reduced. On the contrary, the traffic flow slope K on the i-th day i If it is smaller than the traffic flow slope k of the road section, the congestion formation time will increase relatively; i is the proportion of traffic flow that continuously exceeds the reference value within a period of time on the i-th day in the historical data, p is the average value of the proportion of traffic flow that continuously exceeds the reference value within a period of time on the D-th day in the historical data, Pi The relationship between β and p is the same as that between Ki and k; n represents the bias coefficient of the nth construction parameter, β n =a*D, where a is the coefficient, D is the number of construction days for the i-th construction process, γ n Represents the influence of the nth construction parameter, and its value range is (0, 1, 2, 3, 4).

[0017] Among them, k i =M i -M i-1 , where M i represents the vehicle flow on the i-th day of historical data; M i-1 represents the vehicle flow on the i-1th day of historical data;

[0018] Among them, N j It represents the vehicle flow in the jth period of time; N0 represents the reference value of vehicle flow, and R represents the total amount in the time period.

[0019] The advantages of the present invention are as follows: the present invention provides a construction guidance and road traffic linkage guidance method based on digital twins, by establishing a traffic guidance model and a four-dimensional construction simulation model, inputting the previous traffic flow monitoring data, road occupation parameters, and environmental parameters into the traffic guidance and four-dimensional construction simulation model, thereby outputting the impact of the corresponding road occupation conditions on traffic. According to the simulation results, the traffic management department can issue congestion warning information in advance before construction and conduct traffic guidance in advance.

[0020] The present invention is described in detail below with reference to the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a flow chart of the construction guidance and road traffic linkage diversion method based on digital twin. DETAILED DESCRIPTION

[0022] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined purpose, the specific implementation methods, structural features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and embodiments.

[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] In the description of the present invention, it is necessary to understand that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "aligned", "overlap", "bottom", "inside", "outside" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0025] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features; in the description of the present invention, unless otherwise specified, "plurality" means two or more.

[0026] Example 1

[0027] This embodiment provides Figure 1 A construction diversion and road traffic linkage diversion method based on digital twins is shown, comprising the following steps:

[0028] Step S1, obtaining historical data of road traffic, construction parameters, and environmental parameters;

[0029] Step S2, establishing a traffic diversion model and a four-dimensional construction simulation model;

[0030] Step S3: Input the environmental parameters and construction parameters into the four-dimensional construction simulation model to predict the construction progress and obtain the construction time T 工 ;

[0031] Step S4: inputting historical data of road traffic and environmental parameters into the traffic diversion model to predict road traffic congestion.

[0032] Furthermore, the historical data of road traffic in step S1 include the traffic volume, speed, time occupancy, average vehicle length, and average vehicle spacing through the predicted road in each time period every day in the past three months or the past six months; the construction parameters include the number of construction personnel, material purchase, material transportation, material reserves, construction plan adjustment, completed construction time, etc.; the environmental parameters include weather, temperature, and road surface conditions.

[0033] Furthermore, in step S2, a traffic diversion model and a four-dimensional construction simulation model are established: the four-dimensional construction simulation model is established based on the BIM three-dimensional construction model, and the specific process is: according to the construction design drawings provided by the construction designers, a simulation software (for example: MVC (Model View Control)) is used to establish a three-dimensional BIM construction drawing, and then the established three-dimensional BIM construction drawing is converted according to the planned construction progress to obtain a four-dimensional construction simulation model; specifically, the pre-set construction plan is associated with the three-dimensional BIM construction drawing, and the specific work tasks to be implemented are divided in detail, thereby realizing the conversion from the three-dimensional BIM construction drawing to the four-dimensional real-time BIM model.

[0034] The obtained four-dimensional construction simulation model predicts the construction time T 工 :

[0035]

[0036] Among them, T i =α1χ1+α2χ2+......+α n χ n , T i represents the predicted duration of the i-th construction process, m represents the number of construction processes, α n represents the bias coefficient of the nth construction parameter, α n =a*D, where a is the coefficient, D is the number of construction days for the i-th construction process, and χ n Indicates the influence of the nth construction parameter, with a value range of (0, 1, 2, 3, 4), ω i is the random error of the i-th construction process.

[0037] It should be noted that the construction design drawings provided by the construction designers are road design drawings completed by technical personnel during the engineering design phase. The road design drawings include the length, width, design speed, materials, road surface requirements, etc. of the road.

[0038] Predict construction time T 工 , we can clearly know the duration of traffic congestion that needs to be predicted, and can make predictions about the future T 工 The traffic congestion situation at any time period can be predicted.

[0039] The traffic diversion model calculates the congestion time T of the nth segment on the mth day based on historical data. (m，n) :

[0040]

[0041] Among them, T (m，n) is the congestion time of the nth segment on the mth day, t (i，j)is the congestion time of the jth section on the i-th day in the historical data, λ and γ are adjustment parameters, and their specific values ​​are adjusted according to the actual road section information, K i is the traffic flow slope of the i-th day in the historical data, k is the average traffic flow slope of the D-th day, D is the number of days of historical data; when the traffic flow slope K on the i-th day i If it is less than the traffic flow slope k of the road section, the second term in the formula is a negative value, and the congestion formation time is relatively reduced. On the contrary, the traffic flow slope K on the i-th day i If it is smaller than the traffic flow slope k of the road section, the congestion formation time will increase relatively; i is the proportion of traffic flow that continuously exceeds the reference value within a period of time on the i-th day in the historical data, p is the average value of the proportion of traffic flow that continuously exceeds the reference value within a period of time on the D-th day in the historical data, P i The relationship between β and p is the same as that between Ki and k; n represents the bias coefficient of the nth construction parameter, β n =a*D, where a is the coefficient, D is the number of construction days for the i-th construction process, γ n Represents the influence of the nth construction parameter, and its value range is (0, 1, 2, 3, 4).

[0042] Among them, k i =M i -M i-1 , where M i represents the vehicle flow on the i-th day of historical data; M i-1 represents the vehicle flow on the i-1th day of historical data;

[0043] Among them, N j It represents the vehicle flow in the jth period of time; N0 represents the reference value of vehicle flow, and R represents the total amount in the time period.

[0044] In summary, the present invention provides a method for construction guidance and road traffic linkage based on digital twins. By establishing a traffic guidance model and a four-dimensional construction simulation model, the previous traffic flow monitoring data, road occupation parameters, and environmental parameters are input into the traffic guidance and four-dimensional construction simulation model, thereby outputting the impact of the corresponding road occupation conditions on traffic. According to the simulation results, the traffic management department can publish the T 工 Traffic congestion warning information for any time period of the day can be provided to enable vehicles to avoid it in advance and traffic management departments to divert traffic in advance.

[0045] The above contents are further detailed descriptions of the present invention in combination with specific preferred embodiments, and it cannot be determined that the specific implementation of the present invention is limited to these descriptions. For ordinary technicians in the technical field to which the present invention belongs, several simple deductions or substitutions can be made without departing from the concept of the present invention, which should be regarded as falling within the protection scope of the present invention.

Claims

1. A construction guidance and road traffic linkage guidance method based on digital twin, characterized in that: The steps include: Step S1, obtaining historical data of road traffic, construction parameters, and environmental parameters; Step S2, establishing a traffic diversion model and a four-dimensional construction simulation model; Step S3: Input the environmental parameters and construction parameters into the four-dimensional construction simulation model to predict the construction progress and obtain the construction time T 工 ; Step S4: inputting historical data of road traffic and environmental parameters into the traffic diversion model to predict road traffic congestion.

2. A construction guidance and road traffic linkage guidance method based on digital twins as claimed in claim 1, characterized in that: The historical data of road traffic in step S1 includes the traffic volume, speed, time occupancy, average vehicle length, and average vehicle spacing of the road to be predicted in each time period of each day in the most recent D days; the construction parameters include the number of construction personnel, material purchase, material transportation, material reserves, construction plan adjustment, completed construction time, etc.; the environmental parameters include weather, temperature, and road surface conditions.

3. A construction guidance and road traffic linkage guidance method based on digital twins as claimed in claim 1, characterized in that: The four-dimensional construction simulation model predicts the construction time T 工 : Among them, T i =α1χ1+α2χ2+......+α n χ n , T i represents the predicted duration of the i-th construction process, m represents the number of construction processes, α n represents the bias coefficient of the nth construction parameter, α n =a*D, where a is the coefficient, D is the number of construction days for the i-th construction process, and χ n Indicates the influence of the nth construction parameter, with a value range of (0, 1, 2, 3, 4), ω i is the random error of the i-th construction process.

4. A construction guidance and road traffic linkage guidance method based on digital twins as claimed in claim 1, characterized in that: The traffic diversion model calculates the congestion time T of the nth segment on the mth day based on historical data. (m，n) : Among them, T (m，n) is the congestion time of the nth segment on the mth day, t (i，j) is the congestion time of the jth section on the i-th day in the historical data, λ and γ are adjustment parameters, and their specific values ​​are adjusted according to the actual road section information, K i is the traffic flow slope of the i-th day in the historical data, k is the average traffic flow slope of the D-th day, D is the number of days of historical data; when the traffic flow slope K on the i-th day i If it is less than the traffic flow slope k of the road section, the second term in the formula is a negative value, and the congestion formation time is relatively reduced. On the contrary, the traffic flow slope K on the i-th day i If it is smaller than the traffic flow slope k of the road section, the congestion formation time will increase relatively; i is the proportion of traffic flow that continuously exceeds the reference value within a period of time on the i-th day in the historical data, p is the average value of the proportion of traffic flow that continuously exceeds the reference value within a period of time on the D-th day in the historical data, P i The relationship between β and p is the same as that between Ki and k; n represents the bias coefficient of the nth construction parameter, β n =a*D, where a is the coefficient, D is the number of construction days for the i-th construction process, γ n Indicates the influence of the nth construction parameter, with a value range of (0, 1, 2, 3, 4); Among them, k i =M i -M i-1 , where M i represents the vehicle flow on the i-th day of historical data; M i-1 represents the vehicle flow on the i-1th day of historical data; Among them, N j It represents the vehicle flow in the jth period of time; N0 represents the reference value of vehicle flow, and R represents the total amount in the time period.

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