Continuous flow road network traffic energy consumption value estimation method and system

Abstract

The invention discloses a continuous flow road network traffic energy consumption value estimation method and system, and the method comprises the steps: dividing road units, and determining the characteristics of the road units, including numbers, nodes, calculation lengths, and a relation function between an energy consumption rate and a speed; collecting in-out vehicle information of each road unit in a unit time period, and calculating a converted total traffic amount; the traffic state is evaluated, the traffic flow state is determined to be free flow, stable flow, unstable flow or limited flow by comparing the relation between the traffic flow and the critical traffic volume, and the average vehicle speed is calculated; calculating the energy consumption and the additional energy consumption of the normally running vehicle based on the vehicle running condition to obtain the total traffic energy consumption of the road unit; and summarizing the total traffic energy consumption of all the road units to determine the energy consumption level of the whole road network. The method has the characteristics of high precision, high efficiency and systematization, provides effective support for traffic management and optimization, and promotes sustainable development of traffic.

Description

Technical Field

[0001] The present invention relates to the field of traffic engineering and intelligent traffic technology, and in particular to a method and system for numerically estimating traffic energy consumption of a road or road network under the influence of vehicle type, traffic volume changes over time and road characteristics. Background Art

[0002] With the acceleration of urbanization, the transportation industry is developing rapidly, and the problem of transportation energy consumption is becoming increasingly prominent. In order to effectively manage and reduce transportation energy consumption, researchers have proposed a variety of estimation methods for road network transportation energy consumption, which can be mainly divided into the following three categories:

[0003] Indirect method: This method estimates the road network traffic energy consumption by establishing a relationship model between road network traffic energy consumption and various indirect data such as population data, economic data, car ownership data, CO2 emission data, gasoline and diesel sales data, etc. However, the main drawback of this method is that indirect data cannot accurately reflect the energy consumption within a specific period of time and within a specific road network. The information provided is mostly about the trend of changes in a large area and a long time span, which lacks accuracy.

[0004] Single vehicle research method: This method focuses on a single vehicle and evaluates energy consumption by recording the gasoline (diesel) or battery power consumed by vehicles of different types and loads when traveling a specific distance at a specific speed. However, the implementation of this method has high requirements and strict requirements on vehicle equipment. In addition, it is very complicated to collect and process the driving data of all vehicles on the road network, resulting in poor practicality. Moreover, this method is only applicable to the energy consumption prediction of existing road networks and cannot effectively estimate the energy consumption of planned road networks.

[0005] Evaluation method based on traffic volume: This method matches the road grade and multiplies the traffic energy consumption per unit length of different road grades by the length of the road centerline and the traffic flow per unit time to estimate the traffic energy consumption of the road section. However, this method fails to fully consider the impact of traffic flow status and driving speed on traffic energy consumption in different sections at different times, resulting in large errors in the estimated values.

[0006] In summary, the existing traffic energy consumption estimation methods have their own characteristics, but all of them have the defect of not being able to accurately reflect the timeliness and regionality of traffic energy consumption. Therefore, a new method is urgently needed to simultaneously consider factors such as vehicle type, traffic volume changes over time, and road characteristics, so as to improve the estimation accuracy of traffic energy consumption and meet the needs of modern urban traffic management. Summary of the invention

[0007] In view of the defects of the prior art, the present invention provides a method and system for estimating the traffic energy consumption of a continuous flow road network. The road network to be analyzed is divided into a number of road units, and the time for calculating the traffic energy consumption is divided into a number of analysis time periods. By analyzing the traffic volume, traffic status, average vehicle speed and other factors of each road unit and each time period, the traffic energy consumption is calculated. After that, each unit and time period are accumulated in turn, and finally the traffic energy consumption of the entire road network is obtained.

[0008] In order to achieve the above invention object, the technical solution adopted by the present invention is as follows:

[0009] A method for estimating the traffic energy consumption of a continuous flow road network comprises the following steps:

[0010] Divide the road units and determine the characteristics of each road unit, including the road unit number, road unit node number, road unit calculation length and the relationship function between the traffic energy consumption rate and driving speed of the standard vehicle model;

[0011] Determine the vehicle in and out conditions of each road unit within a unit time period, including the unit nodes, vehicle types and quantities at which vehicles enter and exit, and calculate the total traffic volume;

[0012] Determine the traffic status of each road unit within a unit time period, judge the traffic flow status, and calculate the average vehicle speed; the traffic flow status is determined by comparing the relationship between the traffic flow and the critical traffic volume to determine whether the traffic flow status is free flow, stable flow, unstable flow or restricted flow;

[0013] Calculate the energy consumption and additional energy consumption of normal vehicles in each road unit, and calculate the total traffic energy consumption of the road unit;

[0014] The total traffic energy consumption of the road unit in the total time is calculated, and the total traffic energy consumption of all road units is summarized to determine the traffic energy consumption of the entire road network.

[0015] Furthermore, the road unit has two nodes, one node is for incoming traffic, and the other node is for outgoing traffic. Adjacent road units are connected by road nodes, and road units are divided by different design speeds. Different road units need to be established for traffic in different directions. Using different design speeds as dividing points, nodes connecting adjacent road units are established.

[0016] Furthermore, the converted traffic volume Q in each road unit i (t) is calculated by the following formula:

[0017]

[0018] In the formula, Δt represents the length of the unit time period, which can be defined according to the needs, and t represents the current time;

[0019] It represents the total volume of traffic entering road unit i from node j within the period Δt starting from time t;

[0020] It represents the total traffic volume from node j to road unit i within the period Δt starting from time t;

[0021] γ k represents the traffic volume conversion coefficient of type k;

[0022] It represents the number of type k vehicles entering the i road unit from the j node within the Δt period starting from the t time;

[0023] It represents the number of type k vehicles that leave the i road unit from the j node within the Δt period starting from the t time.

[0024] Furthermore, the traffic flow state is determined as follows:

[0025] when When , starting from time t, during the period of Δt, the traffic flow state in road unit i is free flow or stable flow state.

[0026] when When , starting from time t, during the period of Δt, the traffic flow state in road unit i is unstable flow or restricted flow state.

[0027] It represents the critical traffic volume for the traffic flow in road unit i to be a stable flow during the period of Δt.

[0028] Furthermore, the energy consumption of the normal running vehicle It is calculated based on the average vehicle speed and vehicle travel distance, and is divided into two cases for processing.

[0029] like The energy consumption calculation formula is:

[0030]

[0031] like The energy consumption calculation formula is:

[0032]

[0033] In the formula, represents the average vehicle speed of road unit i at time t;

[0034] l i Indicates the length of road unit i, which is used to determine the driving distance of the vehicle in the road unit;

[0035] It represents the energy consumption of normal driving of vehicles in road unit i during the period Δt starting from time t;

[0036] β k It represents the energy consumption rate conversion coefficient of the K-type vehicle. This coefficient is related to the selection of the standard vehicle model and can be determined based on experiments.

[0037] Indicates that the i road unit is Energy consumption per unit length of a standard vehicle model at speed;

[0038] It represents the number of vehicles of type k that travel in the i road unit but do not pass through the nodes of the i road unit within the Δt period starting from time t.

[0039] Furthermore, the additional energy consumption The formula is as follows, which is a comprehensive calculation based on factors such as vehicle diversion, merging, lane changing and road traffic facilities:

[0040]

[0041] It represents the additional traffic energy consumption in road unit i during the period Δt starting from time t;

[0042] α k ,α′ k ,α″ k ,α″′ k They represent the additional energy consumption conversion coefficients caused by divergence, merging, lane change, and speed bumps of type k vehicles;

[0043] Respectively represent the standard model in Additional energy consumption caused by vehicle divergence, merging, lane change, and speed bumps under speed conditions;

[0044] They represent the number of k types of vehicles that diverge, merge, change lanes and pass through speed bumps within the i road unit within the Δt period starting from time t.

[0045] Furthermore, the total traffic energy consumption of the road unit is calculated The formula is as follows:

[0046]

[0047] The present invention also discloses a continuous flow road network traffic energy consumption numerical estimation system, which can be used to implement the above-mentioned continuous flow road network traffic energy consumption numerical estimation method, specifically, including:

[0048] Road unit division module: divide the road units and determine the characteristics of each road unit, including the road unit number, node number, calculated length, and the relationship function between the traffic energy consumption rate of the standard vehicle model and the driving speed.

[0049] Vehicle in and out statistics module: Determine the vehicle in and out situation of each road unit within a unit time period, including the unit nodes, vehicle types and quantities entering and exiting, and calculate the converted total traffic volume.

[0050] Traffic status judgment module: Determine the traffic status of each road unit within a unit time period, judge the traffic flow status as free flow, stable flow, unstable flow or restricted flow by comparing the relationship between traffic flow and critical traffic volume, and calculate the average vehicle speed.

[0051] Energy consumption calculation module: calculates the energy consumption and additional energy consumption of normal vehicles in each road unit, and calculates the total traffic energy consumption of the road unit.

[0052] Road network energy consumption summary module: calculates the total traffic energy consumption of the road unit in the total time, and summarizes the total traffic energy consumption of all road units to determine the traffic energy consumption of the entire road network.

[0053] Display module: Real-time display of the traffic status, energy consumption of road units and the overall traffic energy consumption of the road network, providing visual data support for decision-making.

[0054] The present invention also discloses a computer device, including a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned method for numerically estimating traffic energy consumption of a continuous flow network when executing the program.

[0055] The present invention also discloses a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned continuous flow network traffic energy consumption numerical estimation method is implemented.

[0056] Compared with the prior art, the advantages of the present invention are:

[0057] Improve the accuracy of energy consumption estimation: Through the detailed division of road units and comprehensive analysis of traffic conditions, traffic energy consumption can be estimated more accurately, thus providing reliable data support for subsequent traffic management and planning.

[0058] Strong adaptability: It can be flexibly adjusted to different types of road networks and traffic conditions, is suitable for a variety of urban traffic environments, and has good versatility.

[0059] Real-time monitoring and feedback: Through real-time data collection and analysis, the traffic status of the road network can be understood in a timely manner, helping decision makers to respond quickly and improve the efficiency of traffic management.

[0060] Support sustainable transportation development: Provide a basis for formulating more environmentally friendly transportation policies, help reduce transportation energy consumption, mitigate the impact of transportation on the environment, and promote sustainable transportation development.

[0061] Systematic analysis capability: Combining traffic flow status, vehicle energy consumption and total traffic energy consumption to provide a comprehensive and systematic analysis, which helps to deeply understand the traffic flow patterns and energy consumption characteristics. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 is a flow chart of a method for numerically estimating traffic energy consumption of a continuous flow road network according to an embodiment of the present invention;

[0063] Figure 2 This is a schematic diagram of the road conditions in traffic sections A and B of the embodiment of the present invention;

[0064] Figure 3 is a speed-fuel consumption relationship curve diagram of a standard vehicle model according to an embodiment of the present invention;

[0065] Figure 4 It is a schematic diagram of road units and nodes according to an embodiment of the present invention. DETAILED DESCRIPTION

[0066] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and examples.

[0067] like Figure 1 As shown, the present invention provides a method for numerically estimating traffic energy consumption of a continuous flow road network, comprising the following steps:

[0068] Step 1: Divide the road unit and determine the road unit characteristics. The road unit characteristics include the road unit number i, road unit node number j, and road unit calculation length l. i , the relationship function U(v) between the traffic energy consumption rate and driving speed of standard vehicle models.

[0069] Each road unit model has two nodes, one for incoming traffic and one for outgoing traffic. Adjacent road units are connected by road nodes, and road units are divided by different design speeds. Different road units need to be established for traffic in different directions.

[0070] Step 2: Determine the vehicle in and out conditions of each road unit within the unit time period Δt.

[0071] The duration of Δt can be defined by yourself, which can be the commonly used 1 hour, or 10 minutes, 5 minutes, etc. The smaller Δt is, the higher the calculation accuracy is, but the calculation time is longer.

[0072] The vehicle entry and exit conditions of each road unit specifically include the unit nodes that the vehicles enter, the unit nodes that the vehicles exit, and the types and numbers of vehicles entering and exiting each node.

[0073]

[0074] It represents the total traffic volume (pcu) from node j into road unit i within the period Δt starting from time t;

[0075] It represents the total traffic volume (pcu) of road unit i from node j within the period Δt starting from time t;

[0076] γ k It represents the traffic volume conversion coefficient of type k. This coefficient is related to the selection of standard vehicle models. Its value and the selection of standard vehicle models can refer to the current specifications.

[0077] It represents the number of vehicles of type k that enter road unit i from node j within the period Δt starting from time t;

[0078] It represents the number of vehicles of type k that leave road unit i from node j within the period Δt starting from time t.

[0079] Step 3: Determine the status of each road unit within the unit time period Δt.

[0080] The specific determination method is as follows:

[0081] (1) Determine the converted traffic volume within the road unit

[0082]

[0083] Q i (t) represents the traffic volume (pcu) of road unit i within the period Δt starting from time t.

[0084] (2) Determine the traffic flow status within road unit i

[0085] when When , starting from time t, during the period of Δt, the traffic flow state in road unit i is free flow or stable flow state.

[0086] when When , starting from time t, during the period of Δt, the traffic flow state in road unit i is unstable flow or restricted flow state.

[0087] It represents the critical traffic volume for the traffic flow in road unit i to be a stable flow during the period of Δt.

[0088] If a small passenger car is used as the standard model,

[0089]

[0090] In the formula

[0091] Q 设 (v) represents the design capacity of a lane when the road design speed is v (pcu / h);

[0092] n i Indicates the number of lanes in road unit i;

[0093] Indicates the design speed of road unit i (km / h);

[0094] l i Indicates the calculated length of road unit i (km);

[0095] (3) Determine the average vehicle speed within road unit i

[0096] When the traffic flow state is free flow and stable flow,

[0097]

[0098] It represents the average vehicle speed in road unit i during the period Δt starting from time t;

[0099] Indicates the speed limit of road unit i.

[0100] When the traffic flow state is unstable and restricted,

[0101]

[0102] K i (t) represents the average traffic density (pcu / km) on each lane in the i road unit during the period Δt starting from time t;

[0103] It represents the blocking density of a lane in road unit i (pcu / km). It indicates the density when the traffic is so dense that all vehicles cannot move. The value can be determined based on experience or calculated using the following formula.

[0104]

[0105] l 标车 Expressed as standard vehicle body length (m).

[0106] l 间It indicates the distance (m) between vehicles when the traffic is so dense that all vehicles cannot move.

[0107] It represents the average traffic density of a lane at the design speed of road unit i (pcu / km).

[0108]

[0109] Step 4: Estimation of road unit energy consumption.

[0110] (1) Calculate the traffic energy consumption of vehicles traveling normally in road unit i

[0111] like

[0112]

[0113] like

[0114]

[0115] It represents the energy consumption (kJ) of the normal driving of vehicles in the i road unit during the period of Δt starting from time t;

[0116] β k It represents the energy consumption rate conversion coefficient of the K-type vehicle. This coefficient is related to the selection of the standard vehicle model and can be determined based on experiments.

[0117] Indicates that the i road unit is Energy consumption per unit length of standard vehicle type at speed (kJ / km);

[0118] It represents the number of vehicles of type k that travel in the i road unit but do not pass through the nodes of the i road unit within the Δt period starting from time t. The calculation formula is as follows:

[0119]

[0120] (2) Calculate the additional energy consumption within road unit i

[0121] Additional energy consumption includes traffic energy consumption caused by vehicle diversion, merging, lane changing, installation of speed bumps and other road traffic facilities.

[0122]

[0123]

[0124] It represents the additional traffic energy consumption in road unit i within the period Δt starting from time t (kJ)

[0125] α k ,α′ k ,α″ k ,α″′ k They represent the additional energy consumption conversion coefficients caused by divergence, merging, lane change, and speed bumps of type k vehicles;

[0126] Respectively represent the standard model in Additional energy consumption caused by vehicle divergence, merging, lane change, and speed bumps under speed conditions (kJ);

[0127] They represent the number of k types of vehicles that diverge, merge, change lanes and pass through speed bumps within the i road unit within the Δt period starting from time t.

[0128] (3) Calculate the total traffic energy consumption within road unit i

[0129]

[0130] It represents the total traffic energy consumption of road unit i within the period Δt starting from time t (kJ).

[0131] Step 5: Determine the total traffic energy consumption during the total time of the road unit

[0132]

[0133] It represents the total traffic energy consumption of road unit i in the total time T (kJ).

[0134] Step 6: Determine the total energy consumption of traffic on the road or road network over the total time

[0135]

[0136] Steps 5 and 6 can also be swapped.

[0137]

[0138] U 总 (t) represents the traffic energy consumption (kJ) in the total road network during the period Δt starting from time t.

[0139] Examples

[0140] Assume that there are two areas A and B as shown in Figure 2, A is a residential area and B is an industrial area. The two areas are connected by a road with a total length of 40km. The specific conditions of the road are as follows: the first section is an urban expressway with a road length of 8km, 4 lanes in both directions, and a design speed of 80km / h; the second section is a ring road with a road length of 32km, 8 lanes in both directions, and a design speed of 100km / h. During peak hours, the traffic volume from A to B is 4000pcu / h, and the traffic volume from B to A is 1000pcu / h. The specific traffic volume is shown in Table 1:

[0141] Table 1 Traffic flow between traffic zones A and B

[0142] Time Traffic volume from A to B (pcu) Traffic volume from B to A (pcu) 8:00-8:10 600 200 8:10-8:20 700 150 8:20-8:30 850 200 8:30-8:40 750 130 8:40-8:50 700 120 8:50-9:00 400 200

[0143] (1) Conventional method:

[0144] The total traffic volume during the peak period from 8 to 9 o'clock is 4000+1000=5000 (pcu)

[0145] Since both urban expressways and highways are first-class roads, the speed of a standard vehicle on the expressway is 22.2 m / s and the fuel consumption is 1.75×10 -4 kg / m, the speed on the highway is 27.7m / s and the fuel consumption is 1.85×10 -4 kg / m. The heat of combustion of each kilogram of gasoline is 4.6×10 3 kJ

[0146] Therefore, the total traffic energy consumption during this hour is

[0147] U 总 =(5000×8×10 3 ×1.75×10 -4 +5000×32×10 3 ×1.85×10 -4 )×4.6

[0148] =168360MJ

[0149] (2) Improvement methods

[0150] Step 1: Divide the road into units and mark the road unit numbers and node numbers. To facilitate understanding of the case, this step ignores the changes in the design speed and number of lanes in different parts of the road. The road is divided into only two road units. The unit numbers, traffic directions of each unit and node numbers are as follows: Figure 4 shown.

[0151] Step 2: Determine the vehicle in and out conditions of each road unit within the unit time period Δt.

[0152] In this example, Δt=10mins is used for illustration.

[0153] According to the known conditions, it can be directly determined

[0154] Since this example does not provide the traffic volume in and out of other nodes, the state of each road unit within the unit time period Δt and the traffic volume in and out of the remaining unit nodes can be determined in combination with step three.

[0155] Step 3: Determine the status of each road unit within the unit time period Δt

[0156] Time step 1: Assume that the traffic volume entering each node is evenly distributed within 10 minutes, and infer the traffic volume entering and leaving the remaining nodes based on this. Since the road vehicle situation before 8:00 is not counted in this embodiment, the vehicles entering the road in the first period of time can be analyzed as a stable flow state. As the number of vehicles increases, the traffic flow state may change. If the first 10 minutes have been a stable flow, there should be Contrary to the known conditions, the flow is stable at the beginning of the first 10 minutes, and then gradually becomes unstable.

[0157]

[0158] Similarly, if the first 10 minutes are free flow or steady flow, The requirements are met, so the first 10 minutes of unit 2 are stable flow, with

[0159]

[0160] Similarly, it can be deduced that unit 3 is in a free flow or stable flow state.

[0161]

[0162] There is no traffic in unit 4 temporarily.

[0163] Time step 2: Still assuming that the traffic volume entering each node is evenly distributed within 10 minutes

[0164]

[0165] The other processes strictly follow the methods in this invention, and a lot of repetitive explanations are omitted in the following, and only the key data are listed.

[0166]

[0167] Unit 1 is in an unstable or limited flow state

[0168]

[0169] Unit 2 is a free flow or steady flow state

[0170]

[0171] Unit 3 is a free flow or steady flow state

[0172]

[0173] Unit 4 is a free flow or steady flow state

[0174]

[0175] The process of time steps 3 to 6 is omitted, and only the calculation results are listed in Table 2 below.

[0176] Table 2 Calculation results of traffic volume and average vehicle speed in each unit from time step 3 to time step 6

[0177]

[0178]

[0179] Step 4: Estimation of road unit energy consumption

[0180] In this embodiment, no specific road design data is given, and the additional energy consumption is negligible. The fuel consumption of each unit is estimated by combining the speed-fuel consumption relationship diagram. The specific values ​​are shown in Table 3.

[0181] Table 3 Calculation results of traffic energy consumption of each road unit

[0182]

[0183]

[0184] Step 5: Calculation of total energy consumption of road unit (see Table 3)

[0185] Step 6: Calculate total energy consumption

[0186]

[0187] Comparing the two methods, the first method does not consider the vehicle's operating status and the process of vehicle energy consumption, while the second method takes into account the time effect of vehicle operation and has higher accuracy.

[0188] In another embodiment of the present invention, a continuous flow network traffic energy consumption numerical estimation system is provided, which can be used to implement the above-mentioned continuous flow network traffic energy consumption numerical estimation method, specifically, including: module

[0189] Road unit division module: divide the road units and determine the characteristics of each road unit, including the road unit number, node number, calculated length, and the relationship function between the traffic energy consumption rate of the standard vehicle model and the driving speed.

[0190] Vehicle in and out statistics module: Determine the vehicle in and out situation of each road unit within a unit time period, including the unit nodes, vehicle types and quantities entering and exiting, and calculate the converted total traffic volume.

[0191] Traffic status judgment module: Determine the traffic status of each road unit within a unit time period, judge the traffic flow status as free flow, stable flow, unstable flow or restricted flow by comparing the relationship between traffic flow and critical traffic volume, and calculate the average vehicle speed.

[0192] Energy consumption calculation module: calculates the energy consumption and additional energy consumption of normal vehicles in each road unit, and calculates the total traffic energy consumption of the road unit.

[0193] Road network energy consumption summary module: calculates the total traffic energy consumption of the road unit in the total time, and summarizes the total traffic energy consumption of all road units to determine the traffic energy consumption of the entire road network.

[0194] Display module: Real-time display of the traffic status, energy consumption of road units and the overall traffic energy consumption of the road network, providing visual data support for decision-making.

[0195] In another embodiment of the present invention, a terminal device is provided, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions to implement the corresponding method flow or corresponding function; the processor described in the embodiment of the present invention can be used for the operation of the numerical estimation method of traffic energy consumption of a continuous flow network, including the following steps:

[0196] Divide the road units and determine the characteristics of each road unit, including the road unit number, road unit node number, road unit calculation length and the relationship function between the traffic energy consumption rate and driving speed of the standard vehicle model;

[0197] Determine the vehicle in and out conditions of each road unit within a unit time period, including the unit nodes, vehicle types and quantities at which vehicles enter and exit, and calculate the total traffic volume;

[0198] Determine the traffic status of each road unit within a unit time period, judge the traffic flow status, and calculate the average vehicle speed; the traffic flow status is determined by comparing the relationship between the traffic flow and the critical traffic volume to determine whether the traffic flow status is free flow, stable flow, unstable flow or restricted flow. ;

[0199] Calculate the energy consumption and additional energy consumption of normal vehicles in each road unit, and calculate the total traffic energy consumption of the road unit;

[0200] The total traffic energy consumption of the road unit in the total time is calculated, and the total traffic energy consumption of all road units is summarized to determine the traffic energy consumption of the entire road network.

[0201] In another embodiment of the present invention, a storage medium is provided, specifically a computer-readable storage medium (Memory), which is a memory device in a terminal device for storing programs and data. It is understandable that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and the extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory, or a non-volatile memory (non-volatile memory), such as at least one disk storage.

[0202] The processor may load and execute one or more instructions stored in a computer-readable storage medium to implement the corresponding steps of the method for estimating the traffic energy consumption of a continuous flow network in the above embodiment; the processor may load and execute the following steps:

[0203] Divide the road units and determine the characteristics of each road unit, including the road unit number, road unit node number, road unit calculation length and the relationship function between the traffic energy consumption rate and driving speed of the standard vehicle model;

[0204] Determine the vehicle in and out conditions of each road unit within a unit time period, including the unit nodes, vehicle types and quantities at which vehicles enter and exit, and calculate the total traffic volume;

[0205] Determine the traffic status of each road unit within a unit time period, judge the traffic flow status, and calculate the average vehicle speed; the traffic flow status is determined by comparing the relationship between the traffic flow and the critical traffic volume to determine whether the traffic flow status is free flow, stable flow, unstable flow or restricted flow. ;

[0206] Calculate the energy consumption and additional energy consumption of normal vehicles in each road unit, and calculate the total traffic energy consumption of the road unit;

[0207] The total traffic energy consumption of the road unit in the total time is calculated, and the total traffic energy consumption of all road units is summarized to determine the traffic energy consumption of the entire road network.

[0208] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0209] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0210] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0211] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0212] Those skilled in the art will appreciate that the embodiments described herein are intended to help readers understand the implementation methods of the present invention, and should be understood that the protection scope of the present invention is not limited to such special statements and embodiments. Those skilled in the art can make various other specific variations and combinations that do not deviate from the essence of the present invention based on the technical revelations disclosed by the present invention, and these variations and combinations are still within the protection scope of the present invention.

Claims

1. A method for estimating the traffic energy consumption of a continuous flow network, characterized in that: The following steps are involved: Divide the road units and determine the characteristics of each road unit, including the road unit number, road unit node number, road unit calculation length and the relationship function between the traffic energy consumption rate and driving speed of the standard vehicle model; Determine the vehicle in and out conditions of each road unit within a unit time period, including the unit nodes, vehicle types and quantities at which vehicles enter and exit, and calculate the total traffic volume; Determine the traffic status of each road unit within a unit time period, judge the traffic flow status, and calculate the average vehicle speed; the traffic flow status is determined by comparing the relationship between the traffic flow and the critical traffic volume to determine whether the traffic flow status is free flow, stable flow, unstable flow or restricted flow; Calculate the energy consumption and additional energy consumption of normal vehicles in each road unit, and calculate the total traffic energy consumption of the road unit; The total traffic energy consumption of the road unit in the total time is calculated, and the total traffic energy consumption of all road units is summarized to determine the traffic energy consumption of the entire road network.

2. The method for estimating the traffic energy consumption of a continuous flow network according to claim 1 is characterized in that: The road unit has two nodes, one node is for incoming traffic, and the other node is for outgoing traffic. Adjacent road units are connected by road nodes, and road units use different design speeds as dividing points; different road units need to be established for traffic in different directions; different design speeds are used as dividing points to establish nodes connecting adjacent road units.

3. The method for estimating the traffic energy consumption of a continuous flow network according to claim 1 is characterized in that: The converted traffic volume Q in each road unit i (t) is calculated by the following formula: In the formula, Δt represents the length of the unit time period, which can be defined according to the needs, and t represents the current time; It represents the total volume of traffic entering road unit i from node j within the period Δt starting from time t; It represents the total traffic volume from node j to road unit i within the period Δt starting from time t; γ k represents the traffic volume conversion coefficient of type k; It represents the number of type k vehicles entering the i road unit from the j node within the Δt period starting from the t time; It represents the number of type k vehicles that leave the i road unit from the j node within the Δt period starting from the t time.

4. The method for estimating the traffic energy consumption of a continuous flow network according to claim 3 is characterized by: The traffic flow state is determined as follows: when When , starting from time t, during the period of Δt, the traffic flow state in the i road unit is a free flow or a stable flow state; when When , starting from time t, during the period of Δt, the traffic flow state in the i road unit is unstable flow or restricted flow state; It represents the critical traffic volume for the traffic flow in road unit i to be a stable flow during the period of Δt.

5. The method for estimating the traffic energy consumption of a continuous flow network according to claim 4 is characterized in that: The energy consumption of the normal running vehicle Calculated based on average vehicle speed and vehicle travel distance, and divided into two cases for processing; like The energy consumption calculation formula is: like The energy consumption calculation formula is: In the formula, represents the average vehicle speed of road unit i at time t; l i Indicates the length of road unit i, which is used to determine the driving distance of the vehicle in the road unit; It represents the energy consumption of normal driving of vehicles in road unit i during the period Δt starting from time t; β k It represents the energy consumption rate conversion coefficient of the K-type vehicle. This coefficient is related to the selection of the standard vehicle model and can be determined based on experiments. Indicates that the i road unit is Energy consumption per unit length of a standard vehicle model at speed; It represents the number of vehicles of type k that travel in the i road unit but do not pass through the nodes of the i road unit within the Δt period starting from time t.

6. The method for estimating the traffic energy consumption of a continuous flow network according to claim 5 is characterized in that: The additional energy consumption The formula is as follows, which is a comprehensive calculation based on factors such as vehicle diversion, merging, lane changing and road traffic facilities: It represents the additional traffic energy consumption in road unit i during the period Δt starting from time t; α k ,α′ k ,α″ k ,α″′ k They represent the additional energy consumption conversion coefficients caused by diverging, merging, changing lanes, and speed bumps of type k vehicles; Respectively represent the standard model in Additional energy consumption caused by vehicle divergence, merging, lane change, and speed bumps under speed conditions; They represent the number of k types of vehicles that diverge, merge, change lanes and pass through speed bumps within the i road unit within the Δt period starting from time t.

7. The method for estimating the traffic energy consumption of a continuous flow network according to claim 6 is characterized by: Calculate the total traffic energy consumption of road units The formula is as follows:

8. A continuous flow network traffic energy consumption numerical estimation system, characterized by: The system can be used to implement the method for numerically estimating traffic energy consumption of a continuous flow network according to any one of claims 1 to 7, specifically comprising: Road unit division module: divides the road units and determines the characteristics of each road unit, including the road unit number, node number, calculated length, and the relationship function between the traffic energy consumption rate of the standard vehicle model and the driving speed; In-and-out vehicle statistics module: Determine the in-and-out vehicle situation of each road unit within a unit time period, including the unit nodes, vehicle types and quantities of vehicles entering and exiting, and calculate the converted total traffic volume; Traffic state judgment module: determine the traffic state of each road unit within a unit time period, judge the traffic flow state as free flow, stable flow, unstable flow or restricted flow by comparing the relationship between traffic flow and critical traffic volume, and calculate the average vehicle speed; Energy consumption calculation module: calculates the energy consumption and additional energy consumption of normal vehicles in each road unit, and calculates the total traffic energy consumption of the road unit; Road network energy consumption summary module: calculates the total traffic energy consumption of the road unit in the total time, summarizes the total traffic energy consumption of all road units to determine the traffic energy consumption of the entire road network; Display module: Displays the traffic status, energy consumption of road units and the overall traffic energy consumption of the road network in real time, providing visual data support for decision-making.

9. A computer device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for numerically estimating traffic energy consumption of a continuous flow network as claimed in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the program is executed by a processor, the method for numerically estimating traffic energy consumption of a continuous flow network as described in one of claims 1 to 7 is implemented.

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