CN112258873A - Method, apparatus, electronic device, and storage medium for controlling vehicle - Google Patents

Method, apparatus, electronic device, and storage medium for controlling vehicle Download PDF

Info

Publication number
CN112258873A
CN112258873A CN202010920380.6A CN202010920380A CN112258873A CN 112258873 A CN112258873 A CN 112258873A CN 202010920380 A CN202010920380 A CN 202010920380A CN 112258873 A CN112258873 A CN 112258873A
Authority
CN
China
Prior art keywords
vehicle
green wave
traffic light
speed
wave speed
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202010920380.6A
Other languages
Chinese (zh)
Other versions
CN112258873B (en
Inventor
李志鹏
姜明明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Apollo Intelligent Connectivity Beijing Technology Co Ltd
Original Assignee
Beijing Baidu Netcom Science and Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Baidu Netcom Science and Technology Co Ltd filed Critical Beijing Baidu Netcom Science and Technology Co Ltd
Priority to CN202010920380.6A priority Critical patent/CN112258873B/en
Publication of CN112258873A publication Critical patent/CN112258873A/en
Application granted granted Critical
Publication of CN112258873B publication Critical patent/CN112258873B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096708Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Atmospheric Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

The application discloses a method, a device, electronic equipment and a storage medium for controlling a vehicle, and relates to the fields of intelligent transportation, automatic driving and Internet of things, wherein the method comprises the following steps: acquiring a running path of at least one trip of a vehicle, and determining the green wave speed of the running path; the travel speed of the vehicle is controlled based on the green wave speed. By applying the scheme, the passing efficiency can be improved.

Description

Method, apparatus, electronic device, and storage medium for controlling vehicle
Technical Field
The present application relates to computer application technologies, and in particular, to a method and an apparatus for controlling a vehicle, an electronic device, and a storage medium in the fields of intelligent transportation, automatic driving, and internet of things.
Background
At present, many vehicles have a driving Assistance function (ADAS, Advanced Driver Assistance System), and when a vehicle makes a driving decision through a traffic light intersection, each intersection makes a decision independently after acquiring traffic light information of the intersection, such as determining whether to pass or wait, and the like, and there is no association with other intersections. The vehicle driving path usually includes a plurality of intersections such as traffic, which leads to low passing efficiency.
Disclosure of Invention
The application provides a method, a device, an electronic device and a storage medium for controlling a vehicle.
A method for controlling a vehicle, comprising:
acquiring a running path of at least one trip of a vehicle, and determining a green wave speed of the running path;
controlling a travel speed of the vehicle based on the green wave speed.
A method for controlling a vehicle, comprising:
determining a green wave speed of a travel path for at least one trip of a vehicle;
transmitting the green wave speed to the vehicle, the green wave speed being used as a travel speed of the vehicle.
An apparatus for controlling a vehicle, comprising: the device comprises an acquisition module and a control module;
the acquisition module is used for acquiring a running path of at least one trip of a vehicle and acquiring the green wave speed of the running path;
the control module is used for controlling the running speed of the vehicle based on the green wave speed.
An apparatus for controlling a vehicle, comprising: a determining module and a sending module;
the determining module is used for determining the green wave speed of the running path aiming at the running path of at least one journey of the vehicle;
the sending module is used for sending the green wave speed to the vehicle, and the green wave speed is used as the running speed of the vehicle.
An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method as described above.
A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method as described above.
One embodiment in the above application has the following advantages or benefits: the vehicle can continuously pass through a plurality of traffic light intersections without stopping according to a certain vehicle speed, so that the passing efficiency is improved, and the like.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The drawings are included to provide a better understanding of the present solution and are not intended to limit the present application. Wherein:
FIG. 1 is a flow chart of a first embodiment of a method for controlling a vehicle according to the present application;
FIG. 2 is a flow chart of a second embodiment of a method for controlling a vehicle according to the present application;
FIG. 3 is a schematic diagram illustrating an overall implementation of a method for controlling a vehicle according to the present application;
FIG. 4 is a schematic view of a 3 traffic light intersection being traversed in accordance with the method of the present application;
FIG. 5 is a schematic structural diagram illustrating a first embodiment 50 of an apparatus for controlling a vehicle according to the present application;
FIG. 6 is a schematic structural diagram of a second embodiment 60 of the apparatus for controlling a vehicle according to the present application;
FIG. 7 is a block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
In addition, it should be understood that the term "and/or" herein is merely one type of association relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
FIG. 1 is a flow chart of a first embodiment of a method for controlling a vehicle as described herein. As shown in fig. 1, the following detailed implementation is included.
In 101, a travel path of at least one trip of the vehicle is acquired and a green wave speed of the travel path is determined.
At 102, the travel speed of the vehicle is controlled based on the determined green wave speed.
In the embodiment of the method, the driving assistance function is integrated with the green wave passing, and the vehicles are assisted to continuously pass through a plurality of traffic light intersections without stopping at a certain speed, so that the passing efficiency is improved, and the like.
When a vehicle needs to go to a certain destination, destination information can be obtained firstly, such as destination information input/set by a user can be obtained, and path planning can be performed according to the destination information, such as that the current position of the vehicle is "Beijing university of industry", the destination is "Qinghua university", a running path from "Beijing university of industry" to "Qinghua university" can be planned for the journey, and the running path may include a plurality of traffic light intersections.
As described in 101, the green wave speed of the travel path may be determined. Specifically, in the process that the vehicle travels along the travel path, the green wave speed determined by the cloud platform can be acquired, the green wave speed is the vehicle travel speed capable of continuously passing through the N traffic light intersections in front, N is a positive integer greater than one, N is less than or equal to M, and M is a positive integer greater than one, and the number of the traffic light intersections on the travel path through which the vehicle does not pass is represented.
That is, assuming that 10 traffic light intersections exist on the planned driving path, for convenience of description, the traffic light intersections 1 to 10 are respectively referred to according to the driving sequence, and then the vehicle can acquire the green wave speed from the cloud platform before passing through any one of the traffic light intersections 1 to 9.
Assuming that the green wave speed is obtained before passing through the traffic light intersection 1, the value of N is 3, the green wave speed is the speed A, then the vehicle can continuously pass through the 3 traffic light intersections 1, 2 and 3 according to the speed A, assuming that the green wave speed is obtained after passing through the traffic light intersection 4 and before passing through the traffic light intersection 5, the value of N is 4, the green wave speed is the speed B, then the vehicle can continuously pass through the 4 traffic light intersections 5, 6, 7 and 8 according to the speed B. The speed at which the vehicle passes through other traffic light intersections is not limited.
It should be noted that, the above manner/strategy for acquiring the green wave velocity is only an example, and is not used to limit the technical solution of the present application, and how and when the green wave velocity is acquired may be determined according to actual needs.
Through the processing, the vehicle can acquire the green wave speed matched with the actual situation in time, and the passing efficiency is improved.
As described in 102, the travel speed of the vehicle may be controlled based on the green wave speed. The vehicle may be automatically controlled to travel based on the green wave speed, such as when the vehicle is in an autonomous driving mode.
When the vehicle is in the manual driving mode, the green wave speed can be used as the recommended vehicle speed to be prompted to the driver, so that the driver can manually control the vehicle to run according to the recommended vehicle speed.
The vehicle in the manual driving mode may refer to that the vehicle itself is an automatic driving vehicle, but is currently in the manual driving mode, or may refer to that the vehicle itself is a manual driving vehicle, and only the manual driving mode can be adopted. In any case, when the vehicle is in the manual driving mode, the green wave speed can be prompted to the driver, namely, vehicle-end prompting is performed, for example, the prompting can be performed through a screen or through voice, and the specific mode is not limited, so that the driver can manually control the vehicle to run according to the recommended vehicle speed.
That is to say, the scheme that this application was described is applicable to both automatic driving vehicle, also can be applicable to manual driving vehicle, has extensive suitability.
FIG. 2 is a flow chart of a second embodiment of a method for controlling a vehicle as described herein. As shown in fig. 2, the following detailed implementation is included.
In 201, for a travel path of at least one trip of the vehicle, a green wave speed of the travel path is determined.
At 202, a green wave speed is transmitted to the vehicle, the green wave speed being used as the travel speed of the vehicle.
The method comprises the steps that when a vehicle runs according to a running path, the green wave speed can be determined, the green wave speed is the running speed of the vehicle which can continuously pass through N traffic light intersections in front, N is a positive integer larger than one, N is smaller than or equal to M, and M is a positive integer larger than one, and the number of the traffic light intersections on the running path, which are not passed by the vehicle, is represented.
As a possible implementation manner, a first traffic light intersection on the driving path may be used as a to-be-processed intersection, and for the to-be-processed intersection, the following first processing is performed: acquiring a green wave speed before the vehicle does not pass through the intersection to be processed; if the acquisition is successful, after the vehicle continuously passes through the N traffic light intersections, if at least two traffic light intersections still exist in front of the vehicle, the next traffic light intersection is taken as an intersection to be processed, and the first processing is repeatedly executed, or if at least two traffic light intersections still exist in front of the vehicle, the next traffic light intersection is taken as an intersection to be processed, and the first processing is repeatedly executed; if the acquisition fails, after the vehicle passes through the intersection to be processed, if at least two traffic light intersections still exist in front of the intersection, the next traffic light intersection is taken as the intersection to be processed, and the first processing is repeatedly executed.
The above process can be exemplified as follows.
Assuming that 10 traffic light intersections coexist on the planned path, for convenience of expression, the planned path is respectively called a traffic light intersection 1-a traffic light intersection 10 according to the driving sequence.
After the vehicle is started, if the vehicle is away from the traffic light intersection 1 by a preset distance (specific value can be determined according to actual needs), the green wave speed can be acquired, and if the acquisition fails, namely the vehicle cannot continuously pass through a plurality of traffic light intersections in front at the green wave speed, the green wave speed can be acquired again after the vehicle passes through the traffic light intersection 1.
Assuming that the green wave speed is successfully obtained again after passing through the traffic light intersection 1, and the obtained green wave speed is a speed (vehicle speed) a, in an ideal case, if the value of N is 9, the vehicle can directly and continuously pass through the subsequent 9 traffic light intersections at the obtained green wave speed, that is, continuously travel the subsequent whole distance, if the value of N is 3, the vehicle can obtain the green wave speed again after continuously passing through 3 traffic light intersections, namely, the traffic light intersection 2, the traffic light intersection 3 and the traffic light intersection 4 according to the speed a, the success of obtaining can be obtained, the failure of obtaining can be obtained, correspondingly, the subsequent processing can be respectively carried out according to a corresponding mode, or if the value of N is 3, the green wave speed can be obtained again after each time the vehicle passes through one traffic light intersection, for example, after the vehicle passes through the traffic light intersection 2 according to the speed a, the green wave velocity is obtained again, and the obtained green wave velocity may still be the velocity a and the value of N is 2, or the obtained green wave velocity may also be the velocity B and the value of N is 4.
When the green wave speed is obtained, the green wave speed can be obtained according to the timing period of the traffic light intersection where the vehicle does not pass on the driving path and the current state information, and the green wave speed is usually within a preset vehicle driving speed range.
For any traffic light intersection, the timing cycle information can include information such as the display duration of each color signal light of the traffic light intersection, and the current state information can include information such as the color and the displayed duration of the currently displayed signal light of the traffic light intersection.
The method and the device for determining the green wave speed are not limited and can be determined according to actual needs.
For example, as a possible implementation manner, a vehicle driving speed range can be set at first, assuming that the driving speed range is 40KM/H-60KM/H, then 60KM/H can be used as a predicted passing speed at first, it is determined whether a green light can pass through a first traffic light intersection in front at the predicted passing speed from a current position, it can be determined by combining a timing period of the traffic light intersection and current state information, if so, it can be continuously determined whether a green light can pass through a second traffic light intersection in front at the predicted passing speed, and so on, the traffic light intersections in front are traversed sequentially, once a certain traffic light intersection cannot pass through, traversal is ended, and the traffic light intersections in front of the traffic light intersection which cannot pass through can be used as N traffic light intersections which can pass through continuously, assuming that the value of N is 3, and the predicted passing speed can be used as a green wave speed, if all the traffic light intersections in front can pass through the intersection, the value of N is equal to the number of all the traffic light intersections in front, if a plurality of traffic light intersections which can pass through continuously can not be found according to the processing mode, the predicted passing speed of-5 KM/h can be used as a new predicted passing speed, and the processing is repeatedly carried out until the predicted passing speed is less than 40 Km/h.
Based on the above description, fig. 3 is a schematic diagram of an overall implementation process of the method for controlling the vehicle according to the present application. As shown in fig. 3, taking the vehicle as an autonomous vehicle and currently in an autonomous driving mode as an example, after a destination is input, path planning and behavior decision can be performed according to the existing manner, and the cloud platform can determine a green wave speed, where the green wave speed is a vehicle driving speed that can continuously pass through N traffic light intersections ahead, where N is a positive integer greater than one, the fusion sensing and recognition system of the vehicle can fuse the acquired green wave speed with other environment sensing data (such as map traffic operation data, surrounding vehicle data, pedestrian position data, and the like) to generate a Control execution result of the driving speed and generate a corresponding operation instruction, and the vehicle Electronic Control Unit (ECU) and the whole vehicle working component execute the operation instruction, and finally drive according to the green wave speed and continuously pass through the N traffic light intersections.
Fig. 4 is a schematic diagram of a sequence of 3 traffic light intersections according to the method of the present application. As shown in fig. 4, the vehicle can pass through the 3 traffic light intersections shown in the figure in succession at a green wave speed.
It is noted that while for simplicity of explanation, the foregoing method embodiments are described as a series of acts or combination of acts, those skilled in the art will appreciate that the present application is not limited by the order of acts, as some steps may, in accordance with the present application, occur in other orders and concurrently. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application. In addition, for parts which are not described in detail in a certain embodiment, reference may be made to relevant descriptions in other embodiments.
The above is a description of method embodiments, and the embodiments of the present application are further described below by way of apparatus embodiments.
Fig. 5 is a schematic structural diagram of a first embodiment 50 of the apparatus for controlling a vehicle according to the present application. As shown in fig. 5, includes: an acquisition module 501 and a control module 502.
The acquiring module 501 is configured to acquire a traveling path of at least one trip of the vehicle, and acquire a green wave speed of the traveling path.
A control module 502 for controlling a travel speed of the vehicle based on the green wave speed.
Specifically, the obtaining module 501 may obtain the green wave speed determined by the cloud platform in the process that the vehicle travels according to the travel route; the green wave speed is the vehicle running speed which can continuously pass through N traffic light intersections in front, N is a positive integer which is greater than one, N is less than or equal to M, and M is a positive integer which is greater than one, and the number of the traffic light intersections which are not passed by the vehicle on the running path is represented.
That is, assuming that 10 traffic light intersections exist on the planned driving path, for convenience of description, the traffic light intersections 1 to 10 are respectively referred to according to the driving sequence, and then the vehicle can acquire the green wave speed from the cloud platform before passing through any one of the traffic light intersections 1 to 9.
Additionally, the control module 502 may automatically control the vehicle to travel according to the green wave speed when the vehicle is in the autonomous driving mode.
When the vehicle is in the manual driving mode, the control module 502 may prompt the driver with the green wave speed as the recommended vehicle speed, so that the driver manually controls the vehicle to run according to the recommended vehicle speed.
The vehicle in the manual driving mode may refer to that the vehicle itself is an automatic driving vehicle, but is currently in the manual driving mode, or may refer to that the vehicle itself is a manual driving vehicle, and only the manual driving mode can be adopted. In any case, when the vehicle is in the manual driving mode, the control module 502 may prompt the driver with the green wave speed, that is, perform end-of-vehicle prompting, such as displaying through a screen or prompting through voice, and the like, and the specific manner is not limited, so that the driver may manually control the vehicle to run according to the recommended vehicle speed.
Fig. 6 is a schematic structural diagram of a second embodiment 60 of the apparatus for controlling a vehicle according to the present application. As shown in fig. 6, includes: a determination module 601 and a sending module 602.
The determining module 601 is configured to determine a green wave speed of a travel path for at least one trip of the vehicle.
And a sending module 602, configured to send the green wave speed to the vehicle, where the green wave speed is used as a running speed of the vehicle.
The determining module 601 may determine a green wave speed in a process that the vehicle travels along the travel path, where the green wave speed is a vehicle travel speed that can continuously pass through N traffic light intersections ahead, N is a positive integer greater than one, and N is less than or equal to M, and M is a positive integer greater than one, and indicates the number of the traffic light intersections on the travel path through which the vehicle does not pass.
Specifically, the determining module 601 may use a first traffic light intersection on the driving path as a to-be-processed intersection, and execute the following first processing for the to-be-processed intersection: acquiring a green wave speed before the vehicle does not pass through the intersection to be processed; if the acquisition is successful, after the vehicle continuously passes through the N traffic light intersections, if at least two traffic light intersections still exist in front of the vehicle, the next traffic light intersection is taken as an intersection to be processed, and the first processing is repeatedly executed, or if at least two traffic light intersections still exist in front of the vehicle, the next traffic light intersection is taken as an intersection to be processed, and the first processing is repeatedly executed; if the acquisition fails, after the vehicle passes through the intersection to be processed, if at least two traffic light intersections still exist in front of the intersection, the next traffic light intersection is taken as the intersection to be processed, and the first processing is repeatedly executed.
In addition, the determining module 601 may obtain the green wave speed according to the timing period of the traffic light intersection where the vehicle does not pass on the driving path and the current state information, and the green wave speed may be within a predetermined vehicle driving speed range.
For a specific work flow of the device embodiments shown in fig. 5 and fig. 6, reference is made to the related description in the foregoing method embodiments, and details are not repeated.
In a word, by adopting the scheme of the embodiment of the device, the vehicle can continuously pass through a plurality of traffic light intersections without stopping according to a certain vehicle speed, so that the passing efficiency is improved, and the like.
According to an embodiment of the present application, an electronic device and a readable storage medium are also provided.
Fig. 7 is a block diagram of an electronic device according to the method of the embodiment of the present application. 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 processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 7, the electronic apparatus includes: one or more processors Y01, a memory Y02, and interfaces for connecting the various components, including a high speed interface and a low speed interface. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display graphical information for a graphical user interface on an external input/output device (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each device providing portions of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system). In fig. 7, one processor Y01 is taken as an example.
Memory Y02 is a non-transitory computer readable storage medium as provided herein. Wherein the memory stores instructions executable by at least one processor to cause the at least one processor to perform the methods provided herein. The non-transitory computer readable storage medium of the present application stores computer instructions for causing a computer to perform the methods provided herein.
Memory Y02 is provided as a non-transitory computer readable storage medium that can be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the methods of the embodiments of the present application. The processor Y01 executes various functional applications of the server and data processing, i.e., implements the method in the above-described method embodiments, by executing non-transitory software programs, instructions, and modules stored in the memory Y02.
The memory Y02 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the electronic device, and the like. Additionally, the memory Y02 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory Y02 may optionally include memory located remotely from processor Y01, which may be connected to the electronic device via a network. Examples of such networks include, but are not limited to, the internet, intranets, blockchain networks, local area networks, mobile communication networks, and combinations thereof.
The electronic device may further include: an input device Y03 and an output device Y04. The processor Y01, the memory Y02, the input device Y03, and the output device Y04 may be connected by a bus or other means, and the bus connection is exemplified in fig. 7.
The input device Y03 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic device, such as a touch screen, keypad, mouse, track pad, touch pad, pointer, one or more mouse buttons, track ball, joystick, or other input device. The output device Y04 may include a display device, an auxiliary lighting device, a tactile feedback device (e.g., a vibration motor), and the like. The display device may include, but is not limited to, a liquid crystal display, a light emitting diode display, and a plasma display. In some implementations, the display device can be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific integrated circuits, 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.
These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, programmable logic devices) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a cathode ray tube or a 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 can provide input to the computer. 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 may 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, wide area networks, blockchain networks, and the internet.
The computer 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 may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present application can be achieved, and the present invention is not limited herein.
The above-described embodiments should not be construed as limiting the scope of the present application. 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 application shall be included in the protection scope of the present application.

Claims (16)

1. A method for controlling a vehicle, comprising:
acquiring a running path of at least one trip of a vehicle, and acquiring a green wave speed of the running path;
controlling a travel speed of the vehicle based on the green wave speed.
2. The method of claim 1, wherein the obtaining the green wave speed of the travel path comprises:
acquiring the green wave speed determined by the cloud platform in the process that the vehicle runs according to the running path; the green wave speed is the vehicle running speed capable of continuously passing through N traffic light intersections in front, N is a positive integer greater than one, N is less than or equal to M, and M is a positive integer greater than one, and represents the number of the traffic light intersections on the running path through which the vehicle does not pass.
3. The method of claim 1, wherein the controlling the travel speed of the vehicle based on the green wave speed comprises: when the vehicle is in an automatic driving mode, automatically controlling the vehicle to run according to the green wave speed;
further comprising: and when the vehicle is in a manual driving mode, prompting the driver of the green wave speed as a recommended vehicle speed.
4. A method for controlling a vehicle, comprising:
determining a green wave speed of a travel path for at least one trip of a vehicle;
transmitting the green wave speed to the vehicle, the green wave speed being used as a travel speed of the vehicle.
5. The method of claim 4, wherein the determining the green wave speed of the travel path comprises:
and determining the green wave speed in the process that the vehicle runs according to the running path, wherein the green wave speed is the running speed of the vehicle which can continuously pass through N traffic light intersections in front, N is a positive integer which is greater than one, N is less than or equal to M, and M is a positive integer which is greater than one, and represents the number of the traffic light intersections on the running path through which the vehicle does not pass.
6. The method of claim 5, wherein the determining the green wave velocity comprises:
taking a first traffic light intersection on the driving path as a to-be-processed intersection, and aiming at the to-be-processed intersection, executing the following first processing:
acquiring the green wave speed before the vehicle does not pass through the intersection to be processed;
if the acquisition is successful, after the vehicle continuously passes through the N traffic light intersections, if at least two traffic light intersections still exist in front of the vehicle, the next traffic light intersection is taken as the intersection to be processed, and the first processing is repeatedly executed, or if at least two traffic light intersections still exist in front of the vehicle, the next traffic light intersection is taken as the intersection to be processed, and the first processing is repeatedly executed;
if the acquisition fails, after the vehicle passes through the intersection to be processed, if at least two traffic light intersections still exist in front of the vehicle, the next traffic light intersection is taken as the intersection to be processed, and the first processing is repeatedly executed.
7. The method of claim 6, wherein the acquiring the green wave velocity comprises:
and acquiring the green wave speed according to the timing period of the traffic light intersection where the vehicle does not pass on the running path and the current state information, wherein the green wave speed is within a preset vehicle running speed range.
8. An apparatus for controlling a vehicle, comprising: the device comprises an acquisition module and a control module;
the acquisition module is used for acquiring a running path of at least one trip of a vehicle and acquiring the green wave speed of the running path;
the control module is used for controlling the running speed of the vehicle based on the green wave speed.
9. The apparatus of claim 8, wherein,
the acquisition module acquires the green wave speed determined by the cloud platform in the process that the vehicle runs according to the running path; the green wave speed is the vehicle running speed capable of continuously passing through N traffic light intersections in front, N is a positive integer greater than one, N is less than or equal to M, and M is a positive integer greater than one, and represents the number of the traffic light intersections on the running path through which the vehicle does not pass.
10. The apparatus of claim 8, wherein the control module automatically controls the vehicle to travel according to the green wave speed when the vehicle is in an autonomous driving mode;
the control module is further configured to prompt a driver with the green wave speed as a recommended vehicle speed when the vehicle is in a manual driving mode.
11. An apparatus for controlling a vehicle, comprising: a determining module and a sending module;
the determining module is used for determining the green wave speed of the running path aiming at the running path of at least one journey of the vehicle;
the sending module is used for sending the green wave speed to the vehicle, and the green wave speed is used as the running speed of the vehicle.
12. The apparatus of claim 11, wherein,
the determining module determines the green wave speed in the process that the vehicle runs according to the running path, wherein the green wave speed is the running speed of the vehicle which can continuously pass through N traffic light intersections in front, N is a positive integer which is larger than one, N is smaller than or equal to M, and M is a positive integer which is larger than one, and the number of the traffic light intersections on the running path, which the vehicle does not pass through, is represented.
13. The apparatus of claim 12, wherein,
the determining module takes a first traffic light intersection on the driving path as a to-be-processed intersection, and executes the following first processing aiming at the to-be-processed intersection: acquiring the green wave speed before the vehicle does not pass through the intersection to be processed; if the acquisition is successful, after the vehicle continuously passes through the N traffic light intersections, if at least two traffic light intersections still exist in front of the vehicle, the next traffic light intersection is taken as the intersection to be processed, and the first processing is repeatedly executed, or if at least two traffic light intersections still exist in front of the vehicle, the next traffic light intersection is taken as the intersection to be processed, and the first processing is repeatedly executed; if the acquisition fails, after the vehicle passes through the intersection to be processed, if at least two traffic light intersections still exist in front of the vehicle, the next traffic light intersection is taken as the intersection to be processed, and the first processing is repeatedly executed.
14. The apparatus of claim 13, wherein,
the determining module acquires the green wave speed according to the timing period of the traffic light intersection where the vehicle does not pass on the driving path and the current state information, wherein the green wave speed is within a preset vehicle driving speed range.
15. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
16. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-7.
CN202010920380.6A 2020-09-04 2020-09-04 Method, apparatus, electronic device, and storage medium for controlling vehicle Active CN112258873B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010920380.6A CN112258873B (en) 2020-09-04 2020-09-04 Method, apparatus, electronic device, and storage medium for controlling vehicle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010920380.6A CN112258873B (en) 2020-09-04 2020-09-04 Method, apparatus, electronic device, and storage medium for controlling vehicle

Publications (2)

Publication Number Publication Date
CN112258873A true CN112258873A (en) 2021-01-22
CN112258873B CN112258873B (en) 2022-10-28

Family

ID=74224799

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010920380.6A Active CN112258873B (en) 2020-09-04 2020-09-04 Method, apparatus, electronic device, and storage medium for controlling vehicle

Country Status (1)

Country Link
CN (1) CN112258873B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114043983A (en) * 2021-11-30 2022-02-15 浙江亚太机电股份有限公司 Green wave band passing speed control system based on vehicle networking system TBOX
CN114202939A (en) * 2021-11-30 2022-03-18 浙江亚太机电股份有限公司 Vehicle traffic speed control system simulating green wave band
CN114333352A (en) * 2021-12-29 2022-04-12 阿波罗智联(北京)科技有限公司 Vehicle control method, vehicle control device, electronic device, storage medium, and roadside device
CN115631637A (en) * 2022-10-26 2023-01-20 东风汽车集团股份有限公司 Intelligent green wave speed determination method and system

Citations (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102024335A (en) * 2010-12-24 2011-04-20 同济大学 Speed guiding method serving the green wave control of urban trunk roads
CN102682613A (en) * 2012-05-14 2012-09-19 邓湘 Method for coordinately controlling sub road section green wave induction and distribution
CN103794063A (en) * 2012-11-02 2014-05-14 上海宝康电子控制工程有限公司 System and method applied to road traffic green-wave band to realize vehicle speed induction
CN104794915A (en) * 2015-05-11 2015-07-22 清华大学 Continuous intersection traffic control method and device
CN106408979A (en) * 2016-09-14 2017-02-15 浙江吉利控股集团有限公司 Vehicle-mounted interconnected smart speed prompting system and method
CN106846845A (en) * 2017-03-31 2017-06-13 山东浪潮商用系统有限公司 One kind treats navigation vehicle road obstacle clearing method and apparatus
CN107084733A (en) * 2017-04-10 2017-08-22 广东数相智能科技有限公司 A kind of method based on unpiloted path planning, apparatus and system
CN107331182A (en) * 2017-07-13 2017-11-07 北京航空航天大学 Automatic Pilot method for controlling driving speed under a kind of net connection environment towards continuous signal intersection
US9922559B1 (en) * 2016-11-16 2018-03-20 Denso International America, Inc. Systems and methods for green light nudge monitoring and alert
CN108010356A (en) * 2016-10-31 2018-05-08 中国电信股份有限公司 For coordinating method, vehicle traveling conditioning unit and its vehicle of vehicle traveling
CN108122423A (en) * 2016-11-28 2018-06-05 中国移动通信有限公司研究院 A kind of method for guiding vehicles, apparatus and system
CN108133610A (en) * 2017-12-21 2018-06-08 东软集团股份有限公司 Intersection vehicle travel control method, device and car-mounted terminal
CN109360437A (en) * 2018-11-12 2019-02-19 安徽江淮汽车集团股份有限公司 A kind of speed bootstrap technique based on signal lamp
CN109993985A (en) * 2017-12-29 2019-07-09 奥迪股份公司 Green wave band running condition control method, the vehicles and the storage medium of the vehicles
CN110874939A (en) * 2018-08-30 2020-03-10 广州汽车集团股份有限公司 Green wave vehicle speed guiding method and system
CN110874940A (en) * 2018-08-30 2020-03-10 广州汽车集团股份有限公司 Green wave vehicle speed guiding method and system
CN111179613A (en) * 2020-02-20 2020-05-19 李迎 Traffic signal lamp-based driving method for vehicle
CN111311943A (en) * 2018-12-11 2020-06-19 上海博泰悦臻电子设备制造有限公司 Vehicle, vehicle equipment and signal lamp vehicle speed optimization method thereof
CN111397631A (en) * 2020-04-10 2020-07-10 上海安吉星信息服务有限公司 Navigation path planning method and device and navigation equipment
CN111445713A (en) * 2020-03-05 2020-07-24 苏州工业园区测绘地理信息有限公司 Intelligent internet vehicle driving speed guiding method based on vehicle-road cooperation

Patent Citations (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102024335A (en) * 2010-12-24 2011-04-20 同济大学 Speed guiding method serving the green wave control of urban trunk roads
CN102682613A (en) * 2012-05-14 2012-09-19 邓湘 Method for coordinately controlling sub road section green wave induction and distribution
CN103794063A (en) * 2012-11-02 2014-05-14 上海宝康电子控制工程有限公司 System and method applied to road traffic green-wave band to realize vehicle speed induction
CN104794915A (en) * 2015-05-11 2015-07-22 清华大学 Continuous intersection traffic control method and device
CN106408979A (en) * 2016-09-14 2017-02-15 浙江吉利控股集团有限公司 Vehicle-mounted interconnected smart speed prompting system and method
CN108010356A (en) * 2016-10-31 2018-05-08 中国电信股份有限公司 For coordinating method, vehicle traveling conditioning unit and its vehicle of vehicle traveling
US9922559B1 (en) * 2016-11-16 2018-03-20 Denso International America, Inc. Systems and methods for green light nudge monitoring and alert
CN108122423A (en) * 2016-11-28 2018-06-05 中国移动通信有限公司研究院 A kind of method for guiding vehicles, apparatus and system
CN106846845A (en) * 2017-03-31 2017-06-13 山东浪潮商用系统有限公司 One kind treats navigation vehicle road obstacle clearing method and apparatus
CN107084733A (en) * 2017-04-10 2017-08-22 广东数相智能科技有限公司 A kind of method based on unpiloted path planning, apparatus and system
CN107331182A (en) * 2017-07-13 2017-11-07 北京航空航天大学 Automatic Pilot method for controlling driving speed under a kind of net connection environment towards continuous signal intersection
CN108133610A (en) * 2017-12-21 2018-06-08 东软集团股份有限公司 Intersection vehicle travel control method, device and car-mounted terminal
CN109993985A (en) * 2017-12-29 2019-07-09 奥迪股份公司 Green wave band running condition control method, the vehicles and the storage medium of the vehicles
CN110874939A (en) * 2018-08-30 2020-03-10 广州汽车集团股份有限公司 Green wave vehicle speed guiding method and system
CN110874940A (en) * 2018-08-30 2020-03-10 广州汽车集团股份有限公司 Green wave vehicle speed guiding method and system
CN109360437A (en) * 2018-11-12 2019-02-19 安徽江淮汽车集团股份有限公司 A kind of speed bootstrap technique based on signal lamp
CN111311943A (en) * 2018-12-11 2020-06-19 上海博泰悦臻电子设备制造有限公司 Vehicle, vehicle equipment and signal lamp vehicle speed optimization method thereof
CN111179613A (en) * 2020-02-20 2020-05-19 李迎 Traffic signal lamp-based driving method for vehicle
CN111445713A (en) * 2020-03-05 2020-07-24 苏州工业园区测绘地理信息有限公司 Intelligent internet vehicle driving speed guiding method based on vehicle-road cooperation
CN111397631A (en) * 2020-04-10 2020-07-10 上海安吉星信息服务有限公司 Navigation path planning method and device and navigation equipment

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114043983A (en) * 2021-11-30 2022-02-15 浙江亚太机电股份有限公司 Green wave band passing speed control system based on vehicle networking system TBOX
CN114202939A (en) * 2021-11-30 2022-03-18 浙江亚太机电股份有限公司 Vehicle traffic speed control system simulating green wave band
CN114202939B (en) * 2021-11-30 2023-03-07 浙江亚太机电股份有限公司 Vehicle traffic speed control system simulating green wave band
CN114333352A (en) * 2021-12-29 2022-04-12 阿波罗智联(北京)科技有限公司 Vehicle control method, vehicle control device, electronic device, storage medium, and roadside device
CN115631637A (en) * 2022-10-26 2023-01-20 东风汽车集团股份有限公司 Intelligent green wave speed determination method and system

Also Published As

Publication number Publication date
CN112258873B (en) 2022-10-28

Similar Documents

Publication Publication Date Title
CN112258873B (en) Method, apparatus, electronic device, and storage medium for controlling vehicle
CN112700668B (en) Remote control method for automatic driving, automatic driving vehicle and cloud equipment
CN110657818A (en) Path planning method, device and equipment for automatic driving vehicle and storage medium
CN111967301A (en) Positioning navigation method, device, electronic equipment and storage medium
CN111854771A (en) Map quality detection processing method and device, electronic equipment and storage medium
CN113635912B (en) Vehicle control method, device, equipment, storage medium and automatic driving vehicle
CN111216738B (en) Control method and device for vehicle in automatic driving, electronic equipment and vehicle
CN111361560B (en) Method and device for controlling vehicle running in automatic driving and electronic equipment
CN110702136B (en) Route planning method and device for vehicle, electronic equipment and readable storage medium
CN111413968B (en) Vehicle control method and device and electronic equipment
CN110823237B (en) Starting point binding and prediction model obtaining method, device and storage medium
CN112164238A (en) Navigation lane change guiding method, device, equipment and storage medium
CN114572240A (en) Vehicle travel control method, device, vehicle, electronic device, and storage medium
CN112578788A (en) Vehicle obstacle avoidance quadratic programming method, device, equipment and readable storage medium
CN111609863B (en) Navigation information generation method and device, electronic equipment and storage medium
CN112793570A (en) Control method, device, equipment and storage medium for automatic driving vehicle
CN111121814A (en) Navigation method, navigation device, electronic equipment and computer readable storage medium
CN114506343A (en) Trajectory planning method, device, equipment, storage medium and automatic driving vehicle
CN113844463A (en) Vehicle control method and device based on automatic driving system and vehicle
CN114413920A (en) Lane data processing method, navigation method and device
CN111597287A (en) Map generation method, device and equipment
CN111750889B (en) Path navigation method and device, electronic equipment and readable storage medium
CN112306091A (en) Three-dimensional trajectory planning method, device, equipment and storage medium
CN112622924A (en) Driving planning method and device and vehicle
CN113124887A (en) Route information processing method, device, equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20211014

Address after: 100176 101, floor 1, building 1, yard 7, Ruihe West 2nd Road, Beijing Economic and Technological Development Zone, Daxing District, Beijing

Applicant after: Apollo Intelligent Connectivity (Beijing) Technology Co., Ltd.

Address before: 2 / F, baidu building, 10 Shangdi 10th Street, Haidian District, Beijing 100085

Applicant before: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY Co.,Ltd.

GR01 Patent grant
GR01 Patent grant