CN117877282A - Green wave vehicle speed guiding method, device and terminal - Google Patents
Green wave vehicle speed guiding method, device and terminal Download PDFInfo
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Abstract
The embodiment of the invention discloses a green wave vehicle speed guiding method, a device and a terminal, wherein the method comprises the steps of reading a target signal lamp in front of a current lane and parameter information thereof; calculating an average vehicle speed passing through the target stop line; calculating a guiding distance according to the parameter information and the average vehicle speed; and monitoring the driving distance between the current vehicle and the target signal lamp, and sending a green wave vehicle speed guiding strategy to the current vehicle when the driving distance is within the guiding distance so as to start the green wave vehicle speed guiding. The invention can improve the road passing efficiency.
Description
Technical Field
The invention relates to the technical field of intelligent transportation, in particular to a green wave vehicle speed guiding method, a device and a terminal.
Background
The problem of traffic crossing passing efficiency controlled by urban signal lamps is always one of the difficulties in urban traffic management. At present, the urban traffic intersection has low traffic efficiency, and is mainly characterized in the following aspects: first, the problem of congestion during the early and late peak hours is relatively serious. Because the urban population is dense, the traffic flow is large in the early and late peak period, and the time controlled by the signal lamp is relatively fixed, so that the waiting time of the vehicle at the intersection is overlong, and the congestion phenomenon is serious. According to the statistical data, in the early rush hour, the vehicle passing time of some main intersections can be prolonged to more than several times, and the travel efficiency of citizens is seriously influenced. Second, the leisure period vehicle must wait for the signal lights to periodically change. During off-peak hours, vehicles at the intersections are rare, but the signal lights still change at fixed time intervals, so that the vehicles have to wait for the signal lights to turn green to pass through the intersections, and time and energy of drivers are wasted. In addition, traffic accidents caused by rear-end collision or red light running of vehicles can be caused by limited sight or misjudgment of signal lamp information by drivers, so that traffic jam is caused. At some intersections, due to the reasons of shielding of buildings, road bending and the like, drivers cannot see the change condition of the signal lamp clearly, and misjudgment is easy to be caused.
In order to solve these problems, some cities begin to adopt intelligent traffic system technology to improve the traffic efficiency of traffic intersections, such as providing green wave speed guidance, and prompting whether the current speed of a vehicle can pass through a stop line of a signal lamp within a fixed distance before the vehicle passes through the signal lamp.
However, the state change of the signal lamp is complex, so that the green wave vehicle speed guidance given by the intelligent traffic system is not reliable, and the aim of improving the road passing efficiency is difficult to achieve.
Disclosure of Invention
Based on the method, the device and the terminal for guiding the green wave vehicle speed, the parameter information of the signal lamp is read in real time, and the guiding distance is calculated according to the current vehicle condition, so that an accurate green wave vehicle speed guiding strategy is provided for the current vehicle.
In a first aspect, a green wave vehicle speed guiding method is provided, including:
reading a target signal lamp in front of a current lane and parameter information of the target signal lamp;
calculating an average vehicle speed passing through the target stop line;
calculating a guiding distance according to the parameter information and the average vehicle speed;
and monitoring the driving distance between the current vehicle and the target signal lamp, and sending a green wave vehicle speed guiding strategy to the current vehicle when the driving distance is within the guiding distance so as to start the green wave vehicle speed guiding.
Optionally, calculating the guiding distance according to the parameter information and the average vehicle speed includes:
acquiring phase information, duration information and countdown information;
when the phase information indicates that the red light is on, calculating the sum of the remaining time of the red light and the duration time of the green light to obtain a first guiding time;
when the phase information indicates that the green light is on, taking the remaining time of the green light as a second guiding time;
when the phase information indicates that the yellow light is on, calculating the sum of the remaining time of the yellow light, the duration time of the red light and the duration time of the green light, and obtaining a third guiding time;
and calculating a guide distance according to the product of the first guide time, the second guide time or the third guide time and the average vehicle speed.
Optionally, after the green wave vehicle speed guidance is started, the method includes:
and continuously monitoring parameter information of the target signal lamp, and guiding the green wave vehicle speed when the countdown information is the green light remaining time.
Optionally, the green wave vehicle speed guiding strategy includes:
and taking parameter information for guiding the green wave vehicle speed and average vehicle speed as inputs, calling a green wave vehicle speed guiding system to output an expected vehicle speed section and an expected vehicle speed, and adjusting the issuing frequency of the suggested speed according to the frequency of the current vehicle reported running data.
Optionally, the green wave vehicle speed guiding strategy includes:
inquiring the road speed limit maximum value of the current lane, and outputting an expected vehicle speed interval and an expected vehicle speed according to the road speed limit maximum value;
and verifying the expected vehicle speed section and the expected vehicle speed through the parameter information and the average vehicle speed for guiding the green wave vehicle speed.
Optionally, when the front of the current lane includes a first target signal lamp and a second target signal lamp, reading first lane information of a first lane where the first target signal lamp is located and second lane information of a second lane where the second target signal lamp is located; calculating a first vehicle-path average speed of a stop line under the first target signal lamp, and calculating a guiding distance according to the parameter information of the first target signal lamp and the first vehicle-path average speed;
the green wave vehicle speed guiding strategy comprises the following steps:
calculating a first green wave traveling interval of a current vehicle passing through the first target signal lamp according to the first lane information and the parameter information of the first target signal lamp;
calculating a second green wave traveling interval of the current vehicle passing through the second target signal lamp according to the second road information and the parameter information of the second target signal lamp;
acquiring an intersection of the first green wave traveling interval and the second green wave traveling interval, and acquiring green wave traveling speeds passing through the first target signal lamp and the second target signal lamp in the intersection.
Optionally, before calculating the first green wave driving interval of the current vehicle passing through the first target signal lamp according to the first lane information and the parameter information of the first target signal lamp, the method includes:
when a steering lane is included between a first lane and a second lane, acquiring steering running time of the steering lane, and subtracting the steering running time from green light duration in parameter information of the first target signal lamp;
or alternatively
Before calculating a second green wave running interval of the current vehicle passing through the second target signal lamp according to the second road information and the parameter information of the second target signal lamp, the method comprises the following steps:
when the steering lane is included between the first lane and the second lane, the steering running time of the steering lane is acquired, and the green light duration in the parameter information of the second target signal lamp is subtracted by the steering running time.
In a second aspect, there is provided a green wave vehicle speed guiding device including:
the parameter reading module is used for reading the target signal lamp in front of the current lane and the parameter information of the target signal lamp;
the vehicle speed calculation module is used for calculating the average vehicle speed passing through the target stop line;
the guiding distance calculation module is used for calculating a guiding distance according to the parameter information and the average vehicle speed;
and the green wave guiding module is used for monitoring the driving distance between the current vehicle and the target signal lamp, and sending a green wave vehicle speed guiding strategy to the current vehicle when the driving distance is within the guiding distance so as to start the green wave vehicle speed guiding.
In a third aspect, a chip is provided, comprising a first processor for calling and running a computer program from a first memory, such that a device on which the chip is mounted performs the steps of the green wave vehicle speed guiding method as described above.
In a fourth aspect, there is provided a terminal comprising a second memory, a second processor and a computer program stored in said second memory and executable on said second processor, the second processor implementing the steps of the green wave vehicle speed guidance method as described above when executing said computer program.
According to the green wave vehicle speed guiding method, the device and the terminal, the optimal guiding distance for guiding the green wave vehicle speed under the current state of the target signal lamp and the current vehicle condition is provided by combining the parameter information of the target signal lamp and the average vehicle speed passing through the target stop line, and the road passing efficiency is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a basic flow diagram of a green wave vehicle speed guiding method according to an embodiment of the present invention;
FIG. 2 is a basic block diagram of a green wave vehicle speed guiding device according to an embodiment of the present invention;
fig. 3 is a basic structural block diagram of a terminal according to an embodiment of the present invention.
Detailed Description
In order to enable those skilled in the art to better understand the present invention, the following description will make clear and complete descriptions of the technical solutions according to the embodiments of the present invention with reference to the accompanying drawings.
In some of the flows described in the specification and claims of the present invention and in the foregoing figures, a plurality of operations occurring in a particular order are included, but it should be understood that the operations may be performed out of order or performed in parallel, with the order of operations such as 101, 102, etc., being merely used to distinguish between the various operations, the order of the operations themselves not representing any order of execution. In addition, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first" and "second" herein are used to distinguish different messages, devices, modules, etc., and do not represent a sequence, and are not limited to the "first" and the "second" being different types.
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by a person skilled in the art without any inventive effort, are intended to be within the scope of the present invention based on the embodiments of the present invention.
The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Among them, artificial intelligence (AI: artificial Intelligence) is a theory, method, technique and application system that simulates, extends and expands human intelligence using a digital computer or a machine controlled by a digital computer, perceives the environment, acquires knowledge and uses the knowledge to obtain the best result.
Artificial intelligence infrastructure technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and other directions.
Referring specifically to fig. 1, fig. 1 is a basic flow chart of a green wave vehicle speed guiding method according to the present embodiment.
As shown in fig. 1, a green wave vehicle speed guiding method includes:
s101, reading a target signal lamp in front of a current lane and parameter information of the target signal lamp.
In the embodiment of the invention, the parameter information of the target signal lamp at least comprises phase information, duration information and countdown information. Phase information, such as { R, G, Y }, where {1, 0} indicates that the current phase is red, {0,1,0} indicates that the current phase is green, and {0, 1} indicates that the current phase is yellow; duration information, such as { TR, TG, TY }, where TR represents red light duration, TG represents current green light duration, TY represents yellow light duration; and countdown information such as { RTR, RTG, RTY }, wherein RTR represents red light remaining time, RTG represents green light remaining time, and RTY represents yellow light remaining time.
In practical application, the state of the signal lamp is changed according to the preset time and program, and the color and duration of the signal lamp are adjusted in different time periods and under different traffic flow conditions, so that if the reading time in the step S101 is different, the parameter information of the target signal lamp is also changed.
For example, during early rush hour, when there are more vehicles on the road, the red light may last longer to control traffic flow and reduce congestion. In late night or early morning, when vehicles on the road are less, the green light may last longer to accelerate the traffic and improve the traffic efficiency.
S102, calculating the average vehicle speed passing through the target stop line.
In practical applications, the average vehicle speed passing through the target stop line may reflect the current vehicle condition, and may further be used to verify the feasibility of the green wave vehicle speed guiding strategy generated in step S104 described below.
The embodiment of the invention provides two implementation modes for calculating average vehicle speed, one is a method for calculating average vehicle speed, which comprises the following steps: acquiring the entering time of a vehicle and the exiting time of the vehicle passing through the target stop line according to road side equipment similar to the target signal lamp; calculating the median speed of a plurality of vehicles according to the entering time, the exiting time and the relative distance between the target stop line and the road side equipment; and carrying out average value calculation on the median speeds of the vehicles to obtain the average speed passing through the target stop line.
To calculate an average vehicle speed through a target stop line using an algorithm in navigation software, comprising: extracting guide lane information according to the guide distance; and inputting the guide lane information into navigation software to obtain the average vehicle speed passing through the target stop line.
S103, calculating a guiding distance according to the parameter information and the average vehicle speed.
In the above step S103, the parameter information used includes phase information, duration information, and countdown information.
The implementation mode of calculating the guiding distance is as follows:
s1031, acquiring phase information, duration information and countdown information;
s1032, when the phase information indicates that the red light is on, calculating the sum of the remaining time of the red light and the duration time of the green light, and obtaining a first guiding time;
s1033, when the phase information indicates that the green light is on, taking the remaining time of the green light as a second guiding time;
s1034, when the phase information indicates that the yellow light is on, calculating the sum of the remaining time of the yellow light, the duration time of the red light and the duration time of the green light, and obtaining a third guiding time;
s1035, calculating a guiding distance according to the product of the first guiding time, the second guiding time or the third guiding time and the average vehicle speed.
The embodiment of the invention executes the step S101 when the current vehicle enters the road provided with the target signal lamp, and simultaneously executes the step S102 and the step S103 after the step S101. And through the steps S1031 to S1035, the optimum guiding distance for guiding the green wave vehicle speed under the current state of the target signal lamp and the current vehicle condition is given by combining the parameter information of the target signal lamp and the average vehicle speed passing through the target stop line.
And S104, monitoring the driving distance between the current vehicle and the target signal lamp, and sending a green wave vehicle speed guiding strategy to the current vehicle when the driving distance is within the guiding distance so as to start green wave vehicle speed guiding.
The green wave vehicle speed guidance is started, which means that when the driving distance is within the guiding distance, the parameter information of the target signal lamp is continuously monitored, and when the countdown information is the green light remaining time, the green wave vehicle speed guidance is performed. That is, when the travel distance is within the guide distance, the green wave vehicle speed guide is started, and at this time, the parameter information of the target signal lamp is continuously monitored. And when the countdown information is green light remaining time, performing green wave vehicle speed guidance, and calculating an expected vehicle speed section and an expected vehicle speed according to the parameter information for performing green wave vehicle speed guidance.
In addition, the embodiment of the invention provides two green wave vehicle speed guiding strategy generating modes, which comprise the following steps: and taking parameter information for guiding the green wave vehicle speed and average vehicle speed as inputs, calling a green wave vehicle speed guiding system to output an expected vehicle speed section and an expected vehicle speed, and adjusting the issuing frequency of the suggested speed according to the frequency of the current vehicle reported running data. The green wave vehicle speed guiding (Green Light Optimal SpeedAdvisory, GLOSA) system is an intelligent traffic system, and provides an optimal vehicle speed suggestion for a driver by monitoring the state and the traffic flow condition of traffic lights in real time so as to enable the driver to continuously pass green lights on a road.
Alternatively, the green wave vehicle speed guidance strategy includes: inquiring the road speed limit maximum value of the current lane, and outputting an expected vehicle speed interval and an expected vehicle speed according to the road speed limit maximum value; and verifying the expected vehicle speed section and the expected vehicle speed through the parameter information and the average vehicle speed for guiding the green wave vehicle speed. The expected vehicle speed interval comprises a maximum green wave vehicle speed and a minimum green wave vehicle speed, wherein the maximum green wave vehicle speed is equal to a road speed limit maximum value, the minimum green wave vehicle speed is equal to 0.6 multiplied by the road speed limit maximum value, and the expected vehicle speed is equal to 0.8 multiplied by the road speed limit maximum value.
For easy understanding, an application scenario of the green wave vehicle speed guiding method according to the embodiment of the present invention will be briefly described below by way of an example. It should be noted that, the numerical values in the following examples are values for the convenience of calculation, and do not have actual meaning.
When a current vehicle enters a road provided with a target signal lamp, the target signal lamp and parameter information thereof in front of the current lane are read, the time is assumed to be 13:00 at the moment, the traffic light belongs to a clear period, and the duration time of a green light is correspondingly shortened to avoid backlog of the vehicle at an intersection due to fewer vehicles on the road, so that the duration time information at the moment is assumed to be {30, 3}, the duration time of a yellow light is assumed to be 3s, the duration time of a red light is assumed to be 30s, the duration time of the green light is assumed to be 30s, and the average vehicle speed passing through a target stop line is 72km/h. If the phase information is {1, 0} in the read parameter information, the red light is turned on, and the countdown information is {0, 10}, the remaining time of the red light is 10S. First, calculating a first guiding time, namely the sum of the remaining time of the red light and the duration time of the green light, to obtain the first guiding time of 40s and further obtain the guiding distance of 800m. According to the step S104, in the embodiment of the present invention, when the driving distance between the current vehicle and the target signal lamp is less than 800m, the green wave vehicle speed guidance is started, the parameter information of the target signal lamp is continuously monitored, and when the countdown information is the green light remaining time, the green wave vehicle speed guidance is performed. The initial driving distance between the current vehicle and the target signal lamp is not necessarily 1km, may be 2km or may be less than 1km, under the assumption condition, the initial driving distance between the current vehicle and the target signal lamp is continuously assumed to be 1km, when the road provided with the target signal lamp is entered, the red light remaining time is 10S, when the driving distance is less than 800m, the phase information is updated to be on just after 9S and 9S, at this time, the driving distance is 800m, the green light vehicle speed is started and immediately guided within the guiding distance and the countdown information is the green light remaining time, and the green light remaining time 30S is the parameter information for guiding the green light vehicle speed. It will be understood that if the driving distance is less than 800m, the green light remaining time is already less than 30s and 28s, and the green light remaining time 28s is the parameter information for guiding the green wave vehicle speed.
Under the condition that the guiding distance is set, when the initial driving distance between the current vehicle and the target signal lamp is 1km, when the vehicle enters a road provided with the target signal lamp, the residual time of the red light is 10S, when the driving distance is smaller than 800m, the residual time of the red light is 9S, the phase information is updated to be green light, at the moment, the driving distance is 800m, the countdown information is green light residual time within the guiding distance, the vehicle is started and immediately guided by green light, and the residual time of the green light is 30S parameter information for guiding the vehicle speed of the green light. The expected vehicle speed output by the green wave vehicle speed guiding system is roughly calculated to be 96km/h.
It should be noted that this value is obtained by dividing the travel distance 800 by 30s, but in practical applications, the green wave vehicle speed guidance system will consider other factors, and is therefore not typically 96km/h, but in the example, this value is used for comparison.
Under the condition that the guiding distance is not available, the guiding distance of the green wave vehicle speed is fixed to be 500m, the initial driving distance between the current vehicle and the target signal lamp is 1km, the green wave vehicle speed is started to be 25s according to the average vehicle speed of 72km/h, at this time, the remaining time of the green light is 15s which is the parameter information for guiding the green wave vehicle speed, and the expected vehicle speed output by the green wave vehicle speed guiding system is roughly calculated to be 120km/h. It can be seen that the expected vehicle speed output in the case where the guide distance is set is much smaller than that in the case where the guide distance is not set. That is, the expected vehicle speed output under the condition that the guiding distance is not set is difficult to pass verification, so that the guiding distance can be provided adaptively, and the road passing efficiency is improved.
In practical application, there is a situation that two or more signal lamps are arranged on a current lane, and the embodiment of the invention provides a green wave vehicle speed guiding method for the situation that two signal lamps are arranged, and the two signal lamps are represented by a first target signal lamp and a second target signal lamp so as to be convenient to understand.
The green wave vehicle speed guiding method of the embodiment of the invention further comprises the following steps:
when a first target signal lamp and a second target signal lamp are arranged in front of a current lane, reading first lane information of a first lane where the first target signal lamp is located and second lane information of a second lane where the second target signal lamp is located; and calculating a first lane average speed of a stop line positioned under the first target signal lamp, and calculating a guiding distance according to the parameter information of the first target signal lamp and the first lane average speed.
In the embodiment of the present invention, when the first target signal lamp and the second target signal lamp are included in front of the current lane, in the first lane, the guiding distance is calculated according to the content of the above step S103, with the information of the first lane including the parameter information of the first target signal lamp and the average speed of the first lane. After passing through the stop line of the first target signal lamp, the green wave vehicle speed guidance is continuously started by directly taking the distance between the stop line of the first target signal lamp and the second target signal lamp as the guidance distance without calculating the guidance distance again.
The green wave vehicle speed guiding strategy comprises the following steps:
acquiring a first green wave traveling interval of a current vehicle passing through the first target signal lamp and a second green wave traveling interval of the current vehicle passing through the second target signal lamp;
calculating an intersection of the first green wave traveling interval and the second green wave traveling interval, and acquiring green wave traveling speeds passing through the first target signal lamp and the second target signal lamp in the intersection.
It should be noted that, in the above steps, the first green wave driving interval in which the current vehicle passes through the first target signal lamp and the second green wave driving interval in which the current vehicle passes through the second target signal lamp are obtained, and the first green wave driving interval and the second green wave driving interval are two desired vehicle speed intervals, so that the obtaining of the desired vehicle speed interval uses the two green wave vehicle speed guidance policy generating methods provided in the above embodiments, which are not repeated herein. When the green wave vehicle speed guiding strategy is used for acquiring the first green wave traveling interval, the parameter information of the first target signal lamp is the parameter information for guiding the green wave vehicle speed, and the average vehicle speed of the first vehicle road of the stop line under the first target signal lamp is the average vehicle speed used by the green wave vehicle speed guiding strategy. However, when the green wave vehicle speed guiding strategy is used to obtain the second green wave traveling interval, the parameter information of the second target signal lamp after the stop line of the first target signal lamp is the parameter information for guiding the green wave vehicle speed, and the average vehicle speed on the stop line of the second target signal lamp is the average vehicle speed used by the green wave vehicle speed guiding strategy.
In practice, there may be a steering lane between the first lane and the second lane, and the left/right turn lane requires more time to safely complete the turning action, so, in one embodiment, before acquiring the first green wave travel interval of the current vehicle through the first target signal lamp, it includes:
when a steering lane is included between a first lane and a second lane, acquiring steering running time of the steering lane, and subtracting the steering running time from green light duration in parameter information of the first target signal lamp;
or alternatively
Before calculating a second green wave running interval of the current vehicle passing through the second target signal lamp according to the second road information and the parameter information of the second target signal lamp, the method comprises the following steps:
when the steering lane is included between the first lane and the second lane, the steering running time of the steering lane is acquired, and the green light duration in the parameter information of the second target signal lamp is subtracted by the steering running time.
According to the above steps, when the steering lane is included between the first lane and the second lane, the parameter information of the first target signal lamp of the first lane is modified, or the parameter information of the second target signal lamp of the second lane is modified. It can be understood that modifying the parameter information of the first target signal lamp of the first lane only affects the value of the first green wave driving interval; when the parameter information of the second target signal lamp of the second lane is modified, only the value of the second green wave driving interval is affected.
In order to solve the technical problems, the embodiment of the invention also provides a green wave vehicle speed guiding device. Referring specifically to fig. 2, fig. 2 is a basic block diagram of a green wave vehicle speed guiding device according to the present embodiment, including:
a parameter reading module 21, configured to read a target signal lamp and parameter information thereof in front of a current lane;
a vehicle speed calculation module 22 for calculating an average vehicle speed passing through the target stop line;
a guide distance calculation module 23 for calculating a guide distance based on the parameter information and the average vehicle speed;
the green wave guiding module 24 is configured to monitor a driving distance between the current vehicle and the target signal lamp, and send a green wave vehicle speed guiding strategy to the current vehicle when the driving distance is within the guiding distance, so as to start green wave vehicle speed guiding.
In order to solve the above technical problems, the embodiment of the present invention further provides a chip, where the chip may be a general-purpose processor or a special-purpose processor. The chip includes a processor for supporting the terminal to perform the above-described related steps, such as calling and running a computer program from a memory, so that a device mounted with the chip executes to implement the green wave vehicle speed guiding method in the above-described respective embodiments.
Optionally, in some examples, the chip further includes a transceiver, where the transceiver is controlled by the processor, and is configured to support the terminal to perform the relevant steps to implement the green wave vehicle speed guiding method in the foregoing embodiments.
Optionally, the chip may further comprise a storage medium.
It should be noted that the chip may be implemented using the following circuits or devices: one or more field programmable gate arrays (fieldprogrammable gate array, FPGA), programmable logic devices (programmablelogic device, PLD), controllers, state machines, gate logic, discrete hardware components, any other suitable circuit or combination of circuits capable of performing the various functions described throughout this application.
The invention also provides a terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the green wave vehicle speed guidance method according to any one of claims 1 to 7 when executing the computer program.
Referring specifically to fig. 3, fig. 3 is a basic block diagram illustrating a terminal including a processor, a nonvolatile storage medium, a memory, and a network interface connected by a system bus. The non-volatile storage medium of the terminal stores an operating system, a database and a computer readable instruction, the database can store a control information sequence, and when the computer readable instruction is executed by a processor, the processor can realize a green wave vehicle speed guiding method. The processor of the terminal is operative to provide computing and control capabilities supporting the operation of the entire terminal. The memory of the terminal may store computer readable instructions that, when executed by the processor, cause the processor to perform a green wave vehicle speed guidance method. The network interface of the terminal is used for connecting and communicating with the terminal. It will be appreciated by those skilled in the art that the structures shown in the drawings are block diagrams of only some of the structures associated with the aspects of the present application and are not intended to limit the terminals to which the aspects of the present application may be applied, and that a particular terminal may include more or less components than those shown, or may combine some of the components, or have a different arrangement of components.
As used herein, a "terminal" or "terminal device" includes both a device of a wireless signal receiver having no transmitting capability and a device of receiving and transmitting hardware having electronic devices capable of performing two-way communication over a two-way communication link, as will be appreciated by those skilled in the art. Such an electronic device may include: a cellular or other communication device having a single-line display or a multi-line display or a cellular or other communication device without a multi-line display; a PCS (Personal Communications Service, personal communication system) that may combine voice, data processing, facsimile and/or data communication capabilities; a PDA (Personal Digital Assistant ) that can include a radio frequency receiver, pager, internet/intranet access, web browser, notepad, calendar and/or GPS (Global Positioning System ) receiver; a conventional laptop and/or palmtop computer or other appliance that has and/or includes a radio frequency receiver. As used herein, "terminal," "terminal device" may be portable, transportable, installed in a vehicle (aeronautical, maritime, and/or land-based), or adapted and/or configured to operate locally and/or in a distributed fashion, to operate at any other location(s) on earth and/or in space. The "terminal" and "terminal device" used herein may also be a communication terminal, a network access terminal, and a music/video playing terminal, for example, may be a PDA, a MID (Mobile Internet Device ), and/or a mobile phone with a music/video playing function, and may also be a smart tv, a set top box, and other devices.
The present invention also provides a storage medium storing computer readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of the green wave vehicle speed guidance method of any of the embodiments described above.
The present embodiment also provides a computer program which can be distributed on a computer readable medium and executed by a computable device to implement at least one step of the above-described green wave vehicle speed guiding method; and in some cases at least one of the steps shown or described may be performed in a different order than that described in the above embodiments.
The present embodiment also provides a computer program product comprising computer readable means having stored thereon a computer program as shown above. The computer readable means in this embodiment may comprise a computer readable storage medium as shown above.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored in a computer-readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. The storage medium may be a nonvolatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a random access Memory (Random Access Memory, RAM).
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (10)
1. A green wave vehicle speed guiding method, comprising:
reading a target signal lamp in front of a current lane and parameter information of the target signal lamp;
calculating an average vehicle speed passing through the target stop line;
calculating a guiding distance according to the parameter information and the average vehicle speed;
and monitoring the driving distance between the current vehicle and the target signal lamp, and sending a green wave vehicle speed guiding strategy to the current vehicle when the driving distance is within the guiding distance so as to start green wave vehicle speed guiding.
2. The green wave vehicle speed guiding method according to claim 1, wherein calculating a guiding distance from the parameter information and the average vehicle speed comprises:
acquiring phase information, duration information and countdown information;
when the phase information indicates that the red light is on, calculating the sum of the remaining time of the red light and the duration time of the green light to obtain a first guiding time;
when the phase information indicates that the green light is on, taking the remaining time of the green light as a second guiding time;
when the phase information indicates that the yellow light is on, calculating the sum of the remaining time of the yellow light, the duration time of the red light and the duration time of the green light, and obtaining a third guiding time;
and calculating a guide distance according to the product of the first guide time, the second guide time or the third guide time and the average vehicle speed.
3. The green wave vehicle speed guiding method according to claim 1 or 2, characterized by comprising, after turning on the green wave vehicle speed guiding:
and continuously monitoring parameter information of the target signal lamp, and guiding the green wave vehicle speed when the countdown information is the green light remaining time.
4. The green wave vehicle speed guiding method according to claim 3, wherein the green wave vehicle speed guiding strategy comprises:
and taking parameter information for guiding the green wave vehicle speed and average vehicle speed as inputs, calling a green wave vehicle speed guiding system to output an expected vehicle speed section and an expected vehicle speed, and adjusting the issuing frequency of the suggested speed according to the frequency of the current vehicle reported running data.
5. The green wave vehicle speed guiding method according to claim 3, wherein the green wave vehicle speed guiding strategy comprises:
inquiring the road speed limit maximum value of the current lane, and outputting an expected vehicle speed interval and an expected vehicle speed according to the road speed limit maximum value;
and verifying the expected vehicle speed section and the expected vehicle speed through the parameter information and the average vehicle speed for guiding the green wave vehicle speed.
6. The green wave vehicle speed guiding method according to claim 1, wherein when the front of the front lane includes a first target signal lamp and a second target signal lamp, the first lane information of the first lane where the first target signal lamp is located and the second lane information of the second lane where the second target signal lamp is located are also read; calculating a first vehicle-path average speed of a stop line under the first target signal lamp, and calculating a guiding distance according to the parameter information of the first target signal lamp and the first vehicle-path average speed;
the green wave vehicle speed guiding strategy comprises the following steps:
calculating a first green wave traveling interval of a current vehicle passing through the first target signal lamp according to the first lane information and the parameter information of the first target signal lamp;
calculating a second green wave traveling interval of the current vehicle passing through the second target signal lamp according to the second road information and the parameter information of the second target signal lamp;
acquiring an intersection of the first green wave traveling interval and the second green wave traveling interval, and acquiring green wave traveling speeds passing through the first target signal lamp and the second target signal lamp in the intersection.
7. The green wave vehicle speed guiding method according to claim 6, wherein calculating a first green wave traveling interval in which the current vehicle passes through the first target signal lamp based on the first lane information and the parameter information of the first target signal lamp, comprises:
when a steering lane is included between a first lane and a second lane, acquiring steering running time of the steering lane, and subtracting the steering running time from green light duration in parameter information of the first target signal lamp;
or alternatively
Before calculating a second green wave running interval of the current vehicle passing through the second target signal lamp according to the second road information and the parameter information of the second target signal lamp, the method comprises the following steps:
when the steering lane is included between the first lane and the second lane, the steering running time of the steering lane is acquired, and the green light duration in the parameter information of the second target signal lamp is subtracted by the steering running time.
8. A green wave vehicle speed guiding device, comprising:
the parameter reading module is used for reading the target signal lamp in front of the current lane and the parameter information of the target signal lamp;
the vehicle speed calculation module is used for calculating the average vehicle speed passing through the target stop line;
the guiding distance calculation module is used for calculating a guiding distance according to the parameter information and the average vehicle speed;
and the green wave guiding module is used for monitoring the driving distance between the current vehicle and the target signal lamp, and sending a green wave vehicle speed guiding strategy to the current vehicle when the driving distance is within the guiding distance so as to start the green wave vehicle speed guiding.
9. A chip, comprising: a first processor for calling and running a computer program from a first memory, so that a device on which the chip is mounted performs the respective steps of the green wave vehicle speed guiding method as claimed in any one of claims 1 to 7.
10. A terminal comprising a second memory, a second processor and a computer program stored in the second memory and executable on the second processor, characterized in that the second processor implements the steps of the green wave vehicle speed guiding method according to any one of claims 1 to 7 when executing the computer program.
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| CN202311837808.0A CN117877282A (en) | 2023-12-28 | 2023-12-28 | Green wave vehicle speed guiding method, device and terminal |
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| CN202311837808.0A CN117877282A (en) | 2023-12-28 | 2023-12-28 | Green wave vehicle speed guiding method, device and terminal |
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