A numerical estimation method and system for traffic energy consumption in continuous flow road networks

Abstract

This invention discloses a method and system for numerically estimating traffic energy consumption in a continuous flow road network. The method includes: dividing road units and determining their characteristics, including numbering, nodes, computational length, and the relationship between energy consumption rate and speed; collecting information on vehicles entering and exiting each road unit within a unit time period and calculating the converted total traffic volume; assessing traffic conditions by comparing traffic flow with critical traffic volume to determine whether the traffic flow is free flow, stable flow, unstable flow, or restricted flow, and calculating the average vehicle speed; calculating the energy consumption and additional energy consumption of normally traveling vehicles based on vehicle driving conditions to obtain the total traffic energy consumption of each road unit; and summarizing the total traffic energy consumption of all road units to determine the energy consumption level of the entire road network. This invention features high precision, high efficiency, and a systematic approach, providing effective support for traffic management and optimization and promoting sustainable transportation development.

Description

Technical Field

[0001] This invention relates to the fields of traffic engineering and intelligent transportation technology, and in particular to a method and system for numerically estimating traffic energy consumption of roads or road networks, taking into account the effects of vehicle type, traffic volume changes over time, and road characteristics. Background Technology

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

[0003] Indirect method: This method estimates road network traffic energy consumption by establishing a relationship model between various indirect data, such as population data, economic data, vehicle ownership data, CO2 emission data, and gasoline and diesel sales data. However, the main drawback of this method is that indirect data cannot accurately reflect energy consumption within a specific time period or a specific road network area. The information provided is mostly about trends over large areas and long time spans, lacking precision.

[0004] Single-vehicle study method: This method focuses on a single vehicle, assessing energy consumption by recording the gasoline (diesel) or battery power consumed by different types and loads of vehicles traveling a specific distance at a specific speed. However, this method has high implementation requirements and stringent equipment requirements for the vehicles. Furthermore, collecting and processing driving data from all vehicles on the road network is very complex, resulting in poor practicality. This method is only applicable to energy consumption prediction of existing road networks and cannot effectively estimate the energy consumption of planned road networks.

[0005] Traffic volume-based assessment methods: This method matches road grades and multiplies the traffic energy consumption per unit length of different road grades by the road centerline length and the traffic flow per unit time to estimate the traffic energy consumption of a road segment. However, this method fails to fully consider the impact of traffic flow conditions and travel speeds at different times on traffic energy consumption, resulting in significant errors in the estimated values.

[0006] In summary, existing methods for estimating traffic energy consumption each have their own characteristics, but all suffer from the drawback of failing to accurately reflect the timeliness and regionality of traffic energy consumption. Therefore, there is an urgent need for a new method that can simultaneously consider factors such as vehicle type, traffic volume variations over time, and road characteristics, thereby improving the accuracy of traffic energy consumption estimation and meeting the needs of modern urban traffic management. Summary of the Invention

[0007] This invention addresses the shortcomings of existing technologies by providing a method and system for numerically estimating traffic energy consumption in continuous flow road networks. The road network to be analyzed is divided into several road units, and the time frame for calculating traffic energy consumption is divided into several analysis time periods. By analyzing factors such as traffic volume, traffic conditions, and average vehicle speed of each road unit in each time period, its traffic energy consumption is calculated. Then, the energy consumption of each unit and each time period is sequentially accumulated to finally obtain the traffic energy consumption of the entire road network.

[0008] To achieve the above-mentioned objectives, the technical solution adopted by the present invention is as follows:

[0009] A numerical estimation method for traffic energy consumption in a continuous flow road network includes the following steps:

[0010] Divide the road into 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.

[0011] Determine the vehicle entry and exit information for each road unit within a given time period, including the unit nodes where vehicles enter and exit, the vehicle types and quantities, and calculate the converted total traffic volume.

[0012] The traffic status of each road unit within a unit time period is determined, the traffic flow status is judged, and the average vehicle speed is calculated. The judgment of the traffic flow status is made by comparing the relationship between the traffic flow and the critical traffic volume to determine whether the traffic flow status is free flow, steady flow, unstable flow, or restricted flow.

[0013] Calculate the energy consumption and additional energy consumption of vehicles traveling normally within each road unit, and determine the total traffic energy consumption of that road unit.

[0014] Calculate the total traffic energy consumption of each road unit over the total time period, and sum the total traffic energy consumption of all road units to determine the traffic energy consumption of the entire road network.

[0015] Furthermore, each road unit has two nodes: one for incoming traffic and the other for outgoing traffic. Adjacent road units are connected by these nodes, and different design speeds serve as dividing points between them. Different road units need to be established for traffic flows in different directions. Nodes connecting adjacent road units are established using different design speeds as dividing points.

[0016] Furthermore, the equivalent traffic volume Q within each road unit i (t) is calculated using the following formula:

[0017]

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

[0019] This represents the total traffic volume entering road unit i from node j within the time interval Δt, starting from time t.

[0020] This represents the total traffic volume generated from node j exiting road unit i within the time interval Δt, starting from time t.

[0021] γ k This represents the traffic volume conversion factor for vehicle type k.

[0022] This represents the number of vehicle types of class k entering road unit i from node j during the time interval Δt, starting from time t.

[0023] This represents the number of vehicle types of class k that leave road unit i from node j during the time interval Δt, starting from time t.

[0024] Furthermore, the determination of traffic flow status is as follows:

[0025] when At time t, during the time interval Δt, the traffic flow state within road unit i is either free flow or steady flow.

[0026] when At time t, during the time interval Δt, the traffic flow state within road unit i is either unstable or restricted.

[0027] This represents the critical traffic volume within road unit i that represents a steady flow during the time interval Δt.

[0028] Furthermore, the energy consumption of the vehicle under normal driving conditions The calculation is based on the average vehicle speed and the distance the vehicle travels, 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, This represents the average vehicle speed of road unit i at time t;

[0034] l i This represents the length of road cell i, used to determine the distance a vehicle travels within that road cell;

[0035] This represents the energy consumption of vehicles operating normally within road unit i during the time interval Δt, starting from time t.

[0036] β k This represents the energy consumption rate conversion factor for vehicle type k. This factor is related to the selection of the standard vehicle type, and the factor can be determined experimentally.

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

[0038] This represents the number of vehicles of type k that travel within road unit i but do not pass through any node of road unit i during the time interval Δt, starting from time t.

[0039] Furthermore, the additional energy consumption The formula is calculated by comprehensively considering factors such as vehicle diversion, merging, lane changing, and road traffic facilities:

[0040]

[0041] This represents the additional traffic energy consumption within road unit i during the time interval Δt, starting from time t.

[0042] α k ,α′ k ,α″ k ,α″′ k These represent the additional energy consumption conversion factors caused by traffic diversion, merging, lane changing, and speed bumps for vehicles of type k, respectively.

[0043] These represent the standard models in Additional energy consumption caused by vehicle diversion, merging, lane changing, and speed bumps at certain speeds;

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

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

[0046]

[0047] This invention also discloses a numerical estimation system for traffic energy consumption in continuous flow road networks. This system can be used to implement the aforementioned numerical estimation method for traffic energy consumption in continuous flow road networks, specifically including:

[0048] Road Unit Division Module: Divides road units and determines the characteristics of each road unit, including road unit number, node number, calculation length, and the relationship function between standard vehicle traffic energy consumption rate and driving speed.

[0049] Vehicle entry and exit statistics module: Determines the entry and exit status of vehicles in each road unit within a unit time period, including the unit nodes where vehicles enter and exit, vehicle types and quantities, and calculates the total traffic volume.

[0050] Traffic condition determination module: Determines the traffic condition of each road unit within a unit time period, determines 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 calculates the average vehicle speed.

[0051] Energy consumption calculation module: Calculates the energy consumption and additional energy consumption of vehicles traveling normally within each road unit, and determines the total traffic energy consumption of that road unit.

[0052] Road network energy consumption summary module: Calculates the total traffic energy consumption of road units over the total time, summarizes the total traffic energy consumption of all road units, and determines the traffic energy consumption of the entire road network.

[0053] Display module: Displays the traffic status and energy consumption of road units in real time, as well as the overall traffic energy consumption of the road network, providing visualized 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 executes the program to implement the above-described method for numerical estimation of traffic energy consumption in a continuous flow road network.

[0055] The present invention also discloses a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the above-described method for numerical estimation of traffic energy consumption in continuous flow road networks.

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

[0057] Improve the accuracy of energy consumption estimation: By meticulously dividing road units and comprehensively analyzing traffic conditions, traffic energy consumption can be estimated more accurately, thus providing reliable data support for subsequent traffic management and planning.

[0058] Highly adaptable: It can be flexibly adjusted for different types of road networks and traffic conditions, making it suitable for various urban traffic environments and possessing 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 react quickly and improve the efficiency of traffic management.

[0060] Supporting sustainable transportation development: Providing a basis for developing more environmentally friendly transportation policies, helping to reduce transportation energy consumption, mitigating the environmental impact of transportation, and promoting sustainable transportation development.

[0061] Systematic analysis capabilities: By combining traffic flow status, vehicle energy consumption, and total traffic energy consumption, it provides comprehensive systematic analysis, which helps to gain a deeper understanding of traffic flow patterns and energy consumption characteristics. Attached Figure Description

[0062] Figure 1 This is a flowchart of the numerical estimation method for traffic energy consumption in 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 this embodiment of the invention;

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

[0065] Figure 4 This is a schematic diagram of road units and nodes according to an embodiment of the present invention. Detailed Implementation

[0066] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples.

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

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

[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 created for traffic flows in different directions.

[0070] Step 2: Determine the vehicle entry and exit status of each road unit within a unit time period Δt.

[0071] The duration Δt can be defined by the user; it can be the commonly used 1 hour, or 10 minutes, 5 minutes, etc. A smaller Δt results in higher calculation accuracy, but also a longer calculation time.

[0072] The details of vehicles entering and exiting each road unit include the unit node where vehicles enter, the unit node where vehicles exit, and the type and number of vehicles entering and exiting each node.

[0073]

[0074] This represents the total traffic volume (pcu) entering road unit i from node j within the time interval Δt, starting from time t.

[0075] This represents the total traffic volume (pcu) generated from node j exiting road unit i during the time interval Δt, starting from time t.

[0076] γ k This represents the traffic volume conversion factor for vehicle type k. This factor is related to the selection of the standard vehicle type, and its value and the selection of the standard vehicle type can be referenced from the current regulations.

[0077] This represents the number of vehicle types of class k entering road unit i from node j during the time interval Δt, starting from time t.

[0078] This represents the number of vehicle types of class k that leave road unit i from node j during the time interval Δt, starting from time t.

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

[0080] The specific determination method is as follows:

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

[0082]

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

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

[0085] when At time t, during the time interval Δt, the traffic flow state within road unit i is either free flow or steady flow.

[0086] when At time t, during the time interval Δt, the traffic flow state within road unit i is either unstable or restricted.

[0087] This represents the critical traffic volume within road unit i that represents a steady flow during the time interval Δt.

[0088] If a small passenger car is taken as the standard vehicle type, then

[0089]

[0090] In the formula

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

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

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

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

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

[0096] When the traffic flow is in the state of free flow and steady flow

[0097]

[0098] This represents the average vehicle speed within road unit i during the time interval Δt, starting from time t.

[0099] This indicates the speed limit for road unit i.

[0100] When the traffic flow state is unstable flow or restricted flow state

[0101]

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

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

[0104]

[0105] l 标车 This is expressed as the standard vehicle body length (m).

[0106] l 间This indicates the distance (in meters) between vehicles when traffic is so dense that all vehicles are unable to move.

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

[0108]

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

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

[0111] like

[0112]

[0113] like

[0114]

[0115] This represents the energy consumption (kJ) of vehicles operating normally within road unit i during the time interval Δt, starting from time t.

[0116] β k This represents the energy consumption rate conversion factor for vehicle type k. This factor is related to the selection of the standard vehicle type, and the factor can be determined experimentally.

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

[0118] This represents the number of vehicles of class k that travel within road unit i but do not pass through any node of road unit i during the time interval Δt, 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 generated by vehicle diversion, merging, lane changing, and the installation of road traffic facilities such as speed bumps.

[0122]

[0123]

[0124] This represents the additional traffic energy consumption (kJ) within road unit i during the time interval Δt, starting from time t.

[0125] α k ,α′ k ,α″ k ,α″′ k These represent the additional energy consumption conversion factors caused by traffic diversion, merging, lane changing, and speed bumps for vehicles of type k, respectively.

[0126] These represent the standard models in Additional energy consumption (kJ) caused by vehicle diversion, merging, lane changing, and speed bumps at certain speeds;

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

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

[0129]

[0130] Let represent the total traffic energy consumption (kJ) of road unit i during the time interval Δt, starting from time t.

[0131] Step 5: Determine the total traffic energy consumption over the entire time period of the road unit.

[0132]

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

[0134] Step Six: Determine the total traffic energy consumption of the road or road network over the entire time period.

[0135]

[0136] Steps five and six can also be swapped in order.

[0137]

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

[0139] Example

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

[0141] Table 1. Traffic Flow Between Traffic Zones A and B

[0142] Time period Traffic flow (pcu) from A to B Traffic flow (pcu) from B to A 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 methods:

[0144] The total traffic volume during the peak period from 8:00 to 9:00 is 4000 + 1000 = 5000 (pcu).

[0145] Since both urban expressways and highways are Class I roads, based on the diagram below, the standard vehicle speed on the expressway is taken as 22.2 m / s, and the fuel consumption is taken as 1.75 × 10. -4 kg / m, with a highway speed of 27.7 m / s, the fuel consumption is taken as 1.85 × 10 kg / m. -4 kg / m. The calorific value of gasoline per kilogram is taken as 4.6 × 10⁻⁶. 3 kJ

[0146] Therefore, the total energy consumption of traffic within that hour

[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 label the unit numbers and node numbers. For ease of understanding, this step ignores variations in design speed and lane number across different sections of the road, dividing the road into only two units. The unit numbers, traffic flow directions for each unit, and node numbers are as follows: Figure 4 As shown.

[0151] Step 2: Determine the vehicle entry and exit status of each road unit within a unit time period Δt.

[0152] This example uses Δt = 10 mins for illustration.

[0153] Based on the known conditions, it can be determined directly.

[0154] Since this example does not provide information on the traffic volume of other nodes, we can combine the information from step three to determine the status of each road unit within a unit time period Δt and the traffic volume of the remaining unit nodes.

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

[0156] Time Step 1: Assume that the traffic volume entering each node is evenly distributed over 10 minutes, and use this to infer the traffic volume entering and exiting the remaining nodes. Since this embodiment does not include road vehicle traffic before 8:00 AM, the traffic entering the road in the initial period can be analyzed as a steady flow. The traffic flow may change as the number of vehicles increases. If the flow is stable for the first 10 minutes, then... Contrary to the known conditions, the flow is initially steady for the first 10 minutes, gradually becoming unstable thereafter. At this point...

[0157]

[0158] Similarly, if the flow is free-flowing or steady for the first 10 minutes, there should be... The requirements are met, so Unit 2 has a stable flow for the first 10 minutes.

[0159]

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

[0161]

[0162] Unit 4 has no traffic at the moment.

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

[0164]

[0165] Other processes strictly follow the method described in this invention. Subsequent descriptions, which are largely repetitive, are omitted; only key data are listed.

[0166]

[0167] Unit 1 is in an unsteady flow or restricted 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 represents a free flow or steady flow state.

[0174]

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

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

[0177]

[0178]

[0179] Step 4: Road Unit Energy Consumption Estimation

[0180] This embodiment does not provide specific road design data, and additional energy consumption is negligible. Fuel consumption for each unit is estimated based on the speed-fuel consumption relationship diagram; specific values ​​are shown in Table 3.

[0181] Table 3. Calculation Results of Traffic Energy Consumption for Each Road Unit

[0182]

[0183]

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

[0185] Step Six: Total Energy Consumption Calculation

[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 considers the time effect of vehicle operation and has higher accuracy.

[0188] In another embodiment of the present invention, a numerical estimation system for traffic energy consumption in a continuous flow road network is provided. This system can be used to implement the above-described numerical estimation method for traffic energy consumption in a continuous flow road network. Specifically, it includes: a module.

[0189] Road Unit Division Module: Divides road units and determines the characteristics of each road unit, including road unit number, node number, calculation length, and the relationship function between standard vehicle traffic energy consumption rate and driving speed.

[0190] Vehicle entry and exit statistics module: Determines the entry and exit status of vehicles in each road unit within a unit time period, including the unit nodes where vehicles enter and exit, vehicle types and quantities, and calculates the total traffic volume.

[0191] Traffic condition determination module: Determines the traffic condition of each road unit within a unit time period, determines 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 calculates the average vehicle speed.

[0192] Energy consumption calculation module: Calculates the energy consumption and additional energy consumption of vehicles traveling normally within each road unit, and determines the total traffic energy consumption of that road unit.

[0193] Road network energy consumption summary module: Calculates the total traffic energy consumption of road units over the total time, summarizes the total traffic energy consumption of all road units, and determines the traffic energy consumption of the entire road network.

[0194] Display module: Displays the traffic status and energy consumption of road units in real time, as well as the overall traffic energy consumption of the road network, providing visualized data support for decision-making.

[0195] In another embodiment of the present invention, a terminal device is provided, comprising a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes 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 (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions to achieve a corresponding method flow or corresponding function. The processor described in this embodiment of the present invention can be used for the operation of a continuous flow road network traffic energy consumption numerical estimation method, including the following steps:

[0196] Divide the road into 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.

[0197] Determine the vehicle entry and exit information for each road unit within a given time period, including the unit nodes where vehicles enter and exit, the vehicle types and quantities, and calculate the converted total traffic volume.

[0198] The system determines the traffic status of each road unit within a given time period, assesses the traffic flow status, and calculates the average vehicle speed. The assessment of traffic flow status involves comparing traffic volume with critical traffic volume to determine whether the traffic flow is free-flowing, steady-flowing, unstable, or restricted.

[0199] Calculate the energy consumption and additional energy consumption of vehicles traveling normally within each road unit, and determine the total traffic energy consumption of that road unit.

[0200] Calculate the total traffic energy consumption of each road unit over the total time period, and sum the total traffic energy consumption of all road units 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). This computer-readable storage medium is a memory device in a terminal device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and extended storage media supported by the terminal device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device.

[0202] One or more instructions stored in a computer-readable storage medium can be loaded and executed by a processor to implement the corresponding steps of the numerical estimation method for traffic energy consumption in continuous flow road networks in the above embodiments; one or more instructions in the computer-readable storage medium are loaded and executed by the processor in the following steps:

[0203] Divide the road into 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.

[0204] Determine the vehicle entry and exit information for each road unit within a given time period, including the unit nodes where vehicles enter and exit, the vehicle types and quantities, and calculate the converted total traffic volume.

[0205] The system determines the traffic status of each road unit within a given time period, assesses the traffic flow status, and calculates the average vehicle speed. The assessment of traffic flow status involves comparing traffic volume with critical traffic volume to determine whether the traffic flow is free-flowing, steady-flowing, unstable, or restricted.

[0206] Calculate the energy consumption and additional energy consumption of vehicles traveling normally within each road unit, and determine the total traffic energy consumption of that road unit.

[0207] Calculate the total traffic energy consumption of each road unit over the total time period, and sum the total traffic energy consumption of all road units to determine the traffic energy consumption of the entire road network.

[0208] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied 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] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0210] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0211] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0212] Those skilled in the art will recognize that the embodiments described herein are intended to help the reader understand the implementation methods of the present invention, and should be understood that the scope of protection of the present invention is not limited to such specific statements and embodiments. Those skilled in the art can make various other specific modifications and combinations based on the technical teachings disclosed in this invention without departing from the spirit of the invention, and these modifications and combinations are still within the scope of protection of the present invention.

Claims

1. A numerical estimation method for traffic energy consumption in a continuous flow road network, characterized in that, Includes the following steps: Divide the road into 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. Determine the vehicle entry and exit information for each road unit within a given time period, including the unit nodes where vehicles enter and exit, the vehicle types and quantities, and calculate the converted total traffic volume. The traffic status of each road unit within a unit time period is determined, the traffic flow status is judged, and the average vehicle speed is calculated. The judgment of the traffic flow status is made by comparing the relationship between the traffic flow and the critical traffic volume to determine whether the traffic flow status is free flow, steady flow, unstable flow, or restricted flow. Calculate the energy consumption and additional energy consumption of vehicles traveling normally within each road unit, and determine the total traffic energy consumption of that road unit. Calculate the total traffic energy consumption of each road unit over the total time period, and sum the total traffic energy consumption of all road units to determine the traffic energy consumption of the entire road network. The additional energy consumption The formula is calculated by comprehensively considering factors such as vehicle diversion, merging, lane changing, and road traffic facilities: This represents the additional traffic energy consumption within road unit i during the time interval Δt, starting from time t. α k ,α′ k ,α″ k ,α″′ k These represent the additional energy consumption conversion factors caused by traffic diversion, merging, lane changing, and speed bumps for vehicles of type k, respectively. These represent the standard models in Additional energy consumption caused by vehicle diversion, merging, lane changing, and speed bumps at certain speeds; These represent the number of k types of vehicles that diverge, merge, change lanes, or pass through speed bumps within road unit i, starting from time t and during the time interval Δt.

2. The method for numerically estimating traffic energy consumption in a continuous flow road network according to claim 1, characterized in that: The road unit has two nodes: one for incoming traffic and the other for outgoing traffic. Adjacent road units are connected by these nodes. Road units are divided by different design speeds. Different road units need to be established for traffic flows in different directions. Nodes connecting adjacent road units are established using different design speeds as the dividing points.

3. The method for numerically estimating traffic energy consumption in a continuous flow road network according to claim 1, characterized in that: The converted traffic volume Q within each road unit i (t) is calculated using the following formula: In the formula, Δt represents the length of a unit time period, which can be defined according to the requirements, and t represents the current time. This represents the total traffic volume entering road unit i from node j within the time interval Δt, starting from time t. This represents the total traffic volume generated from node j exiting road unit i within the time interval Δt, starting from time t. γ k This represents the traffic volume conversion factor for vehicle type k; This represents the number of vehicle types of class k entering road unit i from node j during the time interval Δt, starting from time t. This represents the number of vehicle types of class k that leave road unit i from node j during the time interval Δt, starting from time t.

4. The method for numerically estimating traffic energy consumption in a continuous flow road network according to claim 3, characterized in that: The determination of traffic flow status is as follows: when At that time, starting from time t, during the time interval Δt, the traffic flow state within road unit i is either free flow or steady flow. when At that time, starting from time t, during the time interval Δt, the traffic flow state within road unit i is either unstable or restricted. This represents the critical traffic volume within road unit i that represents a steady flow during the time interval Δt.

5. The method for numerically estimating traffic energy consumption in a continuous flow road network according to claim 4, characterized in that: Energy consumption of vehicles in normal operation Calculated based on average vehicle speed and vehicle travel distance, and handled in two cases; like The energy consumption calculation formula is: like The energy consumption calculation formula is: In the formula, This represents the average vehicle speed of road unit i at time t; l i This represents the length of road cell i, used to determine the distance a vehicle travels within that road cell; This represents the energy consumption of vehicles operating normally within road unit i during the time interval Δt, starting from time t. β k This represents the energy consumption rate conversion factor for vehicle type k. This factor is related to the selection of the standard vehicle type, and the factor can be determined experimentally. Indicates that road unit i is in Energy consumption per unit length of a standard vehicle at a given speed; This represents the number of vehicles of type k that travel within road unit i but do not pass through any node of road unit i during the time interval Δt, starting from time t.

6. The method for numerically estimating traffic energy consumption in a continuous flow road network according to claim 1, characterized in that: Calculate the total traffic energy consumption of a road unit The formula is as follows:

7. A numerical estimation system for traffic energy consumption in a continuous flow road network, characterized in that: This system can be used to implement the numerical estimation method for traffic energy consumption in continuous flow road networks as described in any one of claims 1 to 6, specifically including: Road Unit Division Module: Divides road units and determines the characteristics of each road unit, including road unit number, node number, calculation length, and the relationship function between standard vehicle traffic energy consumption rate and driving speed; Vehicle entry and exit statistics module: Determines the entry and exit status of vehicles in each road unit within a unit time period, including the unit nodes where vehicles enter and exit, vehicle types and quantities, and calculates the total traffic volume. Traffic condition determination module: Determines the traffic condition of each road unit within a unit time period, determines the traffic flow state as free flow, steady flow, unstable flow or restricted flow by comparing the relationship between traffic flow and critical traffic volume, and calculates the average vehicle speed; Energy consumption calculation module: Calculates the energy consumption and additional energy consumption of vehicles traveling normally within each road unit, and calculates the total traffic energy consumption of that road unit. Road network energy consumption summary module: Calculates the total traffic energy consumption of road units over the total time, summarizes the total traffic energy consumption of all road units, and determines the traffic energy consumption of the entire road network; Display module: Real-time display of traffic status, energy consumption of road units, and overall traffic energy consumption of the road network, providing visualized data support for decision-making; The additional energy consumption The formula is calculated by comprehensively considering factors such as vehicle diversion, merging, lane changing, and road traffic facilities: This represents the additional traffic energy consumption within road unit i during the time interval Δt, starting from time t. α k ,α′ k ,α″ k ,α″′ k These represent the additional energy consumption conversion factors caused by traffic diversion, merging, lane changing, and speed bumps for vehicles of type k, respectively. These represent the standard models in Additional energy consumption caused by vehicle diversion, merging, lane changing, and speed bumps at certain speeds; These represent the number of k types of vehicles that diverge, merge, change lanes, or pass through speed bumps within road unit i, starting from time t and during the time interval Δt.

8. A computer device, characterized in that: It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the numerical estimation method for traffic energy consumption in a continuous flow road network as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: It stores a computer program that, when executed by a processor, implements the numerical estimation method for traffic energy consumption in a continuous flow road network as described in any one of claims 1 to 6.

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