CN115195721A

CN115195721A - Method, device and equipment for determining target vehicle distance and storage medium

Info

Publication number: CN115195721A
Application number: CN202210785751.3A
Authority: CN
Inventors: 杨瀚博; 马金英; 陈涛; 廖庚华; 岳磊; 由佳丽; 张忠峰; 曹庆炜; 曹惠南; 史佳伟
Original assignee: FAW Jiefang Automotive Co Ltd
Current assignee: FAW Jiefang Automotive Co Ltd
Priority date: 2022-07-04
Filing date: 2022-07-04
Publication date: 2022-10-18

Abstract

The invention discloses a method, a device, equipment and a storage medium for determining a target vehicle distance. The method comprises the following steps: obtaining the resistance reduction percentage and the driving information of at least three vehicles on the same road; wherein the drag reduction percentage is used for representing the contribution amount of the drag reduction of the vehicles on the same road in the formation driving; if the driving information meets the preset formation driving condition, solving a model according to the resistance reduction percentage and the vehicle distance range, and determining a target vehicle distance range; and determining the target vehicle distance according to the driving information and the target vehicle distance range. The technical scheme solves the problem that the driving economy of the formation is difficult to control, and the maximum resistance reduction is facilitated by determining the target vehicle distance, so that the driving efficiency of the formation is improved while the energy is effectively saved.

Description

Method, device and equipment for determining target vehicle distance and storage medium

Technical Field

The present invention relates to the field of data processing, and in particular, to a method, an apparatus, a device, and a storage medium for determining a target vehicle distance.

Background

With the development of freight markets and the increasing perfection of road facilities, formation driving conditions are more and more important in the field of multi-vehicle intelligent network connection. The formation driving refers to a uniform high-speed driving working condition that 3 or more vehicles on the same road keep a fixed distance or a fixed time distance.

For formation running conditions, in the prior art, the air resistance of each vehicle on the same road and a fleet is usually calculated according to the driving state of each vehicle on the same road in the fleet, so that the equivalent fuel economy of the fleet is determined. However, the distance control of vehicles on the same road is usually adjusted by drivers through driving experience at present, and resistance reduction to the maximum extent is difficult to realize in the process of formation driving, so that energy can not be saved to the maximum extent.

Disclosure of Invention

The invention provides a method, a device, equipment and a storage medium for determining a target vehicle distance, which are used for solving the problem that the driving economy of formation is difficult to control.

According to an aspect of the present invention, there is provided a method of determining a target vehicle distance, the method including:

obtaining the resistance reduction percentage and the driving information of at least three vehicles on the same road; wherein the drag reduction percentage is used for representing the contribution amount of the drag reduction of the vehicles on the same road in the formation driving;

if the driving information meets the preset formation driving condition, solving a model according to the resistance reduction percentage and the vehicle distance range, and determining a target vehicle distance range;

and determining the target vehicle distance according to the driving information and the target vehicle distance range.

According to another aspect of the present invention, there is provided a target inter-vehicle distance determination apparatus, including:

the information acquisition module is used for acquiring the resistance reduction percentage and the driving information of at least three vehicles on the same road; wherein the drag reduction percentage is used for representing the contribution amount of the drag reduction of the vehicles on the same road in the formation driving;

the target vehicle distance range determining module is used for solving a model according to the resistance reduction percentage and the vehicle distance range and determining a target vehicle distance range if the driving information meets the preset formation driving condition;

and the target vehicle distance determining module is used for determining the target vehicle distance according to the driving information and the target vehicle distance range.

According to another aspect of the present invention, there is provided an electronic apparatus including:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform a method of determining a target vehicle distance according to any of the embodiments of the present invention.

According to another aspect of the present invention, a computer-readable storage medium is provided, which stores computer instructions for causing a processor to implement the method for determining a target inter-vehicle distance according to any one of the embodiments of the present invention when the computer instructions are executed.

According to the technical scheme of the embodiment of the invention, the resistance reduction percentage and the driving information of at least three vehicles on the same road are obtained, when the driving information meets the preset formation driving condition, the model is solved according to the resistance reduction percentage and the vehicle distance range, the target vehicle distance range is determined, and then the target vehicle distance is determined according to the driving information and the target vehicle distance range. The scheme can solve the problem that the driving economy of the formation is difficult to control, and the maximum resistance reduction is facilitated by determining the target vehicle distance, so that the driving efficiency of the formation is improved while the energy is effectively saved.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a flowchart of a method for determining a target vehicle distance according to an embodiment of the present invention;

fig. 2 is a schematic structural diagram of a target vehicle distance determining apparatus according to a second embodiment of the present invention;

fig. 3 is a schematic structural diagram of an electronic device implementing the method for determining the target vehicle distance according to the embodiment of the present invention.

Detailed Description

In order to make those skilled in the art better understand the technical solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, shall fall within the protection scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example one

Fig. 1 is a flowchart of a method for determining a target distance according to an embodiment of the present invention, where the embodiment is applicable to a situation of determining the target distance, and the method may be executed by a device for determining the target distance, where the device may be implemented in a form of hardware and/or software, and the device may be configured in an electronic device. As shown in fig. 1, the method includes:

and S110, obtaining the drag reduction percentage and the running information of at least three vehicles on the same road.

The scheme can be executed by the vehicle management platform, and the vehicle management platform can acquire the position, the speed, the vehicle distance, the load, the driving road condition and other driving information of each vehicle on the same road through the vehicle-mounted system. Wherein the on-road vehicle may be any one of light, medium or heavy type vehicles. The vehicle management platform can set the resistance reduction percentage according to the oil saving target of each vehicle on the same road, wherein the resistance reduction percentage can represent the wind resistance reduction contribution amount of the vehicles on the same road in formation driving.

The vehicle management platform can judge whether the vehicles on the same road meet the formation driving condition according to the driving information of the vehicles on the same road. For example, the vehicle management platform can acquire road condition information according to vehicle-mounted systems of vehicles on the same road or vehicle networking navigation, and determine whether to form a formation for driving according to the road condition information. As can be understood, formation driving is more suitable for flat and open roads, and the advantage of wind resistance reduction of formation driving is difficult to embody on bumpy roads.

Optionally, after obtaining the drag reduction percentage and the driving information of at least three vehicles on the same road, the method further includes:

and if the running information does not meet the preset formation running condition, taking the minimum safe distance between each vehicle on the same road and the adjacent vehicle on the same road as the target vehicle distance of each vehicle on the same road.

The formation driving condition may include at least one of evaluation criteria such as vehicle speed, road condition, and inter-vehicle distance. The formation driving conditions can include that the vehicle speed of each vehicle on the same road is greater than a vehicle speed threshold value, such as 60km/h, the road condition is wide and flat, and the inter-vehicle distance is within a preset inter-vehicle distance range, such as [6m,12m ].

If the vehicle management platform evaluates that the vehicles on the same road do not meet the formation driving conditions according to the driving information, the minimum safe distance between two adjacent vehicles can be used as the target vehicle distance, so that the wind resistance is reduced as much as possible while the driving safety is ensured.

And S120, if the driving information meets the preset formation driving condition, solving a model according to the resistance reduction percentage and the vehicle distance range, and determining a target vehicle distance range.

If the driving information meets the formation driving conditions, the vehicle management platform can send matched driving instructions to vehicles on the same road to adjust the inter-vehicle distance between the vehicles on the same road in the formation, and then formation driving is achieved. The vehicle management platform may input the resistance reduction percentage to the vehicle distance range solution model to obtain the target vehicle distance range. The vehicle distance range solving model can be a correlation between the vehicle distance and the resistance reduction percentage constructed based on the historical formation driving data.

For example, if the driving information meets the preset formation driving condition, determining a target vehicle distance range according to the resistance reduction percentage and a vehicle distance range solution model, including:

and if the road condition identification result is normal, the speed of each vehicle on the same road is greater than or equal to a preset speed threshold value, and each vehicle distance is within a preset vehicle distance range, solving a model according to the resistance reduction percentage and the vehicle distance range, and determining a target vehicle distance range.

In this embodiment, the driving information may include a road condition recognition result, vehicle distance information, and vehicle speed information. The vehicle distance information may include the vehicle distance between each vehicle on the same road and the adjacent vehicle on the same road in formation. The vehicle speed information may include vehicle speeds of respective on-road vehicles driven in formation.

It is easy to understand, vehicle management platform can be based on the traffic navigation of car networking, on-vehicle vision sensor and radar sensor etc. acquire the traffic information of each on the same road vehicle. According to the driving road condition information of the vehicles on the same road, the vehicle management platform can determine the road condition recognition result. If the driving road is wide and flat, the road condition identification result can be determined to be normal, and if the driving road is in rugged, congested and other states, the road condition identification result can be determined to be abnormal.

And if the road condition identification result is normal, the speed of each vehicle on the same road is greater than or equal to the preset speed threshold value, and the distance of each vehicle is within the preset distance range, the running environment of each vehicle on the same road is suitable for formation running. For example, 5 vehicles on the same road keep a distance of 10 meters, and all the vehicles run on a flat and open expressway at a uniform speed of 80km/h, the vehicle management platform can determine that the 5 vehicles on the same road can be formed to run, and determine a target vehicle distance range according to a resistance reduction percentage and a vehicle distance range solution model so as to realize maximum resistance reduction.

The scheme comprehensively considers the evaluation condition of formation driving, and can accurately judge whether each vehicle on the same road is suitable for formation driving.

In this scheme, optionally, the vehicle distance range solution model includes a correlation between the resistance reduction percentage and the vehicle distance; the correlation between the drag reduction percentage and the vehicle distance is as follows:

y＝ax ² +bx+c，x∈(l,3L)；

wherein y represents the percentage of drag reduction, x represents the vehicle distance, L represents the minimum safe distance between adjacent vehicles on the same road, and L represents the vehicle length.

According to the scheme, a quadratic function is used for fitting the correlation between the drag reduction percentage and the vehicle distance, the matched coefficient value is selected, the target vehicle distance is accurately calculated, and the maximum reduction of energy loss is facilitated.

On the basis of the above scheme, optionally, the vehicle distance range solution model further includes at least one of a first vehicle coefficient group, a middle vehicle coefficient group, a last vehicle coefficient group, and a queue coefficient group; wherein the coefficient set includes a quadratic term coefficient range, a first order term coefficient range, and a constant term coefficient range.

Specifically, the vehicle distance range solution model may be as shown in table 1 below:

table 1:

the first vehicle can be the same-way vehicle at the head of the formation, the tail vehicle can be the same-way vehicle at the tail of the formation, the middle vehicle can be all vehicles between the first vehicle and the tail vehicle in the formation, the middle vehicle can comprise one same-way vehicle or a plurality of same-way vehicles.

The vehicle management platform can calculate the target vehicle distance range according to the correlation between the resistance reduction percentage and the vehicle distance according to each coefficient range in each coefficient group. And each vehicle on the same road can adjust the distance according to the target distance range.

For the correlation between the resistance reduction percentage and the vehicle distance, the scheme can configure different coefficient ranges for vehicles on the same road at different positions in the queue, and also configure the coefficient ranges for the whole queue, so that the resistance reduction percentage can be set from multiple dimensions, and the economy of a single vehicle on the same road or the whole queue is improved.

And S130, determining the target vehicle distance according to the running information and the target vehicle distance range.

According to the current vehicle distance and the target vehicle distance range of each vehicle on the same road and the adjacent vehicle on the same road, the vehicle management platform can adjust the vehicle distance between each vehicle on the same road and the adjacent vehicle on the same road to be within the target vehicle distance range by adjusting the running speed of each vehicle on the same road. The vehicle management platform may also adjust the inter-vehicle distances between each vehicle on the same road and the adjacent vehicle on the same road by using the center inter-vehicle distance and the boundary inter-vehicle distance in the target inter-vehicle distance range as the target inter-vehicle distance.

In this scheme, optionally, determining the target vehicle distance according to the driving information and the target vehicle distance range includes:

and determining the target vehicle distance of each vehicle on the same road in the target vehicle distance range between each vehicle on the same road and the adjacent vehicle on the same road according to the running information of each vehicle on the same road.

The vehicle management platform may randomly select a vehicle distance in the target vehicle distance range as a target vehicle distance of each vehicle on the same road, or select a fixed position vehicle distance in the target vehicle distance range as a target vehicle distance of each vehicle on the same road, for example, select a central position value of the target vehicle distance range as the target vehicle distance.

The scheme can determine the target vehicle distance in the target vehicle distance range, so that vehicles on the same road can form a formation to run according to the target vehicle distance, and the optimal vehicle distance can be determined in the target vehicle distance range.

In one possible implementation, the drag reduction percentage includes at least one of a first car drag reduction percentage, a middle car drag reduction percentage, a tail car drag reduction percentage, and a queue drag reduction percentage;

the step of determining a target vehicle distance range according to the resistance reduction percentage and the vehicle distance range solving model comprises the following steps:

inputting the resistance reduction percentage into a vehicle distance range solving model, and determining at least one reference vehicle distance range;

and determining a target vehicle distance range between each vehicle on the same road and the adjacent vehicle on the same road in formation driving according to the at least one reference vehicle distance range and the pre-acquired formation driving resistance reduction ratio.

The vehicle management platform may set at least one of a first vehicle drag reduction percentage, a middle vehicle drag reduction percentage, a tail vehicle drag reduction percentage, and a queue drag reduction percentage. If the vehicle management platform does not set all 4 resistance reduction percentages, taking the example that the vehicle management platform sets only the queue resistance reduction percentage, the vehicle management platform can obtain the reference vehicle distance range of the queue after inputting the queue resistance reduction percentage to the vehicle distance range solving model.

The vehicle management platform can determine the first vehicle resistance reduction percentage, the middle vehicle resistance reduction percentage and the tail vehicle resistance reduction percentage according to the formation driving resistance reduction proportion. The formation driving resistance reduction proportion can be the ratio of the resistance reduction percentage of the first vehicle, the middle vehicle, the tail vehicle and the formation. Assuming that the vehicle management platform sets the queue resistance reduction percentage to be 25%, assuming that the formation driving resistance reduction proportion is 2. The vehicle management platform can respectively determine the reference vehicle distance range of the first vehicle, the middle vehicle and the tail vehicle in the queue according to each resistance reduction percentage, and further can determine the target vehicle distance range between each same-path vehicle driven in formation and the adjacent same-path vehicle according to the reference vehicle distance range of the queue, the first vehicle, the middle vehicle and the tail vehicle. For example, the vehicle management platform may calculate an intersection of the reference vehicle distance ranges of the queue, the first vehicle, the middle vehicle and the tail vehicle, and further narrow the reference vehicle distance range of the vehicles on the same road at each position.

If the vehicle management platform sets each resistance reduction percentage, the vehicle management platform can respectively calculate the reference vehicle distance ranges of the queue, the first vehicle, the middle vehicle and the tail vehicle through the vehicle distance range solving model. The vehicle management platform can directly determine the target vehicle distance range between each vehicle on the same road and the adjacent vehicle on the same road in formation driving according to the reference vehicle distance ranges of the queue, the first vehicle, the middle vehicle and the tail vehicle. For example, by calculating the intersection of the reference vehicle distance ranges of the train, the first vehicle, the middle vehicle, and the last vehicle as the target vehicle distance range.

The vehicle management platform can also give weight to each reference vehicle distance range according to the formation running resistance reduction proportion, and the target vehicle distance range between each vehicle on the same road and the adjacent vehicle on the same road running in the formation is obtained through weighting calculation.

The scheme can meet the resistance reduction requirements of vehicles on the same road at all positions driven by formation, is favorable for realizing the optimal resistance reduction of the formation, and realizes global energy conservation.

According to the technical scheme, the resistance reduction percentage and the driving information of at least three vehicles on the same road are obtained, when the driving information meets the preset formation driving condition, a model is solved according to the resistance reduction percentage and the vehicle distance range, the target vehicle distance range is determined, and then the target vehicle distance is determined according to the driving information and the target vehicle distance range. The scheme can solve the problem that the driving economy of the formation is difficult to control, and through determining the target vehicle distance, the maximum resistance reduction is facilitated, and the driving efficiency of the formation is improved while the energy is effectively saved.

Example two

Fig. 2 is a schematic structural diagram of a device for determining a target vehicle distance according to a second embodiment of the present invention. As shown in fig. 2, the apparatus includes:

the information acquisition module 210 is configured to acquire the resistance reduction percentage and the driving information of at least three vehicles on the same road; wherein the drag reduction percentage is used for representing the contribution amount of the drag reduction of the vehicles on the same road in the formation driving;

a target vehicle distance range determining module 220, configured to determine a target vehicle distance range according to the resistance reduction percentage and the vehicle distance range solution model if the driving information meets a preset formation driving condition;

and a target vehicle distance determining module 230, configured to determine a target vehicle distance according to the driving information and the target vehicle distance range.

In this scheme, optionally, the vehicle distance range solution model includes a correlation between the resistance reduction percentage and the vehicle distance; the related relation between the drag reduction percentage and the vehicle distance is as follows:

y＝ax ² +bx+c，x∈(l,3L)；

the target vehicle distance range determining module 220 is specifically configured to:

On the basis of the foregoing scheme, optionally, the target vehicle distance determining module 230 is specifically configured to:

In a preferred scheme, the driving information comprises a road condition identification result, vehicle distance information and vehicle speed information; the vehicle distance information comprises the vehicle distance between each vehicle on the same road and the adjacent vehicle on the same road which are driven in formation; the vehicle speed information comprises the vehicle speeds of all vehicles on the same road which are driven in formation;

In another possible implementation, the information obtaining module 210 is further configured to:

The device for determining the target vehicle distance, provided by the embodiment of the invention, can execute the method for determining the target vehicle distance, provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.

EXAMPLE III

FIG. 3 illustrates a block diagram of an electronic device 310 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 3, the electronic device 310 includes at least one processor 311, and a memory communicatively connected to the at least one processor 311, such as a Read Only Memory (ROM) 312, a Random Access Memory (RAM) 313, etc., wherein the memory stores computer programs executable by the at least one processor, and the processor 311 may perform various suitable actions and processes according to the computer programs stored in the Read Only Memory (ROM) 312 or the computer programs loaded from the storage unit 318 into the Random Access Memory (RAM) 313. In the RAM 313, various programs and data required for the operation of the electronic device 310 can also be stored. The processor 311, the ROM 312, and the RAM 313 are connected to each other by a bus 314. An input/output (I/O) interface 315 is also connected to bus 314.

Various components in the electronic device 310 are connected to the I/O interface 315, including: an input unit 316 such as a keyboard, a mouse, or the like; an output unit 317 such as various types of displays, speakers, and the like; a storage unit 318 such as a magnetic disk, optical disk, or the like; and a communication unit 319 such as a network card, modem, wireless communication transceiver, or the like. The communication unit 319 allows the electronic device 310 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.

The processor 311 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 311 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 311 performs the various methods and processes described above, such as the determination of the target vehicle distance.

In some embodiments, the method of determining the target vehicle distance may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 318. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 310 via the ROM 312 and/or the communication unit 319. When loaded into RAM 313 and executed by processor 311, may perform one or more of the steps of the above-described target vehicle distance determination method. Alternatively, in other embodiments, the processor 311 may be configured to perform the target vehicle distance determination method by any other suitable means (e.g., by way of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user may provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.

It should be understood that various forms of the flows shown above, reordering, adding or deleting steps, may be used. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.

The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method of determining a target vehicle distance, the method comprising:

2. The method according to claim 1, wherein the vehicle distance range solution model comprises a correlation of a drag reduction percentage and a vehicle distance; the correlation between the drag reduction percentage and the vehicle distance is as follows:

y＝ax ² +bx+c，x∈(l,3L)；

3. The method of claim 2, wherein the range solution model further comprises at least one of a head car coefficient set, a middle car coefficient set, a tail car coefficient set, and a fleet coefficient set; wherein the coefficient set includes a quadratic term coefficient range, a first order term coefficient range, and a constant term coefficient range.

4. The method of claim 3, wherein the de-drag percentage comprises at least one of a first car de-drag percentage, a middle car de-drag percentage, a tail car de-drag percentage, and a platoon de-drag percentage;

5. The method of claim 4, wherein determining a target vehicle distance based on the travel information and the target vehicle distance range comprises:

6. The method according to claim 1, wherein the driving information includes a road condition recognition result, vehicle distance information, and vehicle speed information; the vehicle distance information comprises the vehicle distance between each vehicle on the same road and the adjacent vehicle on the same road during formation driving; the vehicle speed information comprises the vehicle speed of each vehicle on the same road which is driven in formation;

if the driving information meets the preset formation driving condition, solving a model according to the resistance reduction percentage and the vehicle distance range, and determining a target vehicle distance range, wherein the method comprises the following steps:

7. The method of claim 1, wherein after obtaining the drag reduction percentage and the travel information for at least three on-road vehicles, the method further comprises:

8. An apparatus for determining a target vehicle distance, the apparatus comprising:

and the target vehicle distance determining module is used for determining the target vehicle distance according to the running information and the target vehicle distance range.

9. An electronic device, characterized in that the electronic device comprises:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein, the first and the second end of the pipe are connected with each other,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of determining a target vehicle distance of any one of claims 1-7.

10. A computer-readable storage medium storing computer instructions for causing a processor to perform the method of determining a target vehicle distance according to any one of claims 1 to 7 when the computer instructions are executed.