WO2018232897A1

WO2018232897A1 - Method and device for intelligent driving in smog day

Info

Publication number: WO2018232897A1
Application number: PCT/CN2017/096970
Authority: WO
Inventors: 杜光东
Original assignee: 深圳市盛路物联通讯技术有限公司
Priority date: 2017-06-23
Filing date: 2017-08-11
Publication date: 2018-12-27
Also published as: CN107170290A

Abstract

A method and a device for intelligent driving during heavy smog. The method for intelligent driving in a smog day comprises: receiving, from a vehicle-mounted terminal (10) of each of a plurality of vehicles, vehicle driving speed information and current vehicle location information concerning the vehicle; determining, according to the current vehicle location information sent by the vehicle-mounted terminal (10) of each of the plurality of vehicles, a distance between two adjacent vehicles; calculating, according to the distance between the two adjacent vehicles and the vehicle driving speed information of each of the two adjacent vehicles, a risk coefficient of collision between the two adjacent vehicles; and prompting, when the risk coefficient is greater than a pre-set risk threshold, at least one of the two adjacent vehicles to adjust the current driving speed thereof. The invention collects the location information and the speed information sent by each terminal (10), and calculates a distance between two adjacent vehicles and a risk coefficient of collision. If the risk coefficient of collision is too large, the user is prompted in a timely manner to adjust the speed of the vehicle.

Description

Method and device for intelligent driving in foggy day

Technical field

The invention relates to the technical field of safety control, in particular to a method and a device for intelligent driving in a haze day.

Background technique

Due to the rapid development of industrial technology, it has also caused a serious reduction in air quality. The weather in the sun has become a "luxury" and the haze has gradually increased. Smog will not only directly threaten people's health and safety, but also indirectly lead to personal safety. In the smoggy weather, the traffic conditions on the road surface will be blurred. Although the driver usually drives the car very slowly, it is inevitable that there will be a rear-end collision. There are even some drivers with poor safety awareness or inexperienced drivers who still do not lose speed in smog weather, which eventually causes major traffic accidents and leads to personal injury and death.

Then, how to ensure that the vehicle can travel safely even in smog weather has become a technical problem to be solved.

Summary of the invention

In order to solve the above technical problems, the present invention provides a method and apparatus for intelligent driving in a haze day.

In a first aspect, the present invention provides a method of intelligent driving in a haze day, the method comprising:

Receiving vehicle travel speed information respectively transmitted by the vehicle-mounted terminals of each of the plurality of vehicles and current position information of the vehicle;

Determining a distance between two adjacent vehicles according to vehicle current position information respectively transmitted by the vehicle-mounted terminals of each of the plurality of vehicles;

Calculating a risk factor of collision between two adjacent vehicles according to a distance between two adjacent vehicles and information about each of the two adjacent vehicles;

When the risk coefficient is greater than the preset risk threshold, at least one of the two adjacent vehicles is alerted to adjust the current traveling speed.

An embodiment of the present invention provides a method for intelligent driving in a haze day, each of which transmits current location information and speed information to a server through an in-vehicle terminal. After the server collects this information, it can use this information to determine which vehicles are adjacent. And easily calculate the distance between two adjacent cars, as well as the coefficient of collision risk. If the risk factor of the collision is too large, promptly remind the user to adjust the speed of the vehicle. In this way, even in the case of smoggy weather and low visibility, the driver master does not need to worry about a traffic accident, as long as the broadcast is sent according to the server. Prompt message, you can drive normally. Through the above method, it can be ensured that the vehicle can safely travel in smog weather, and the occurrence of traffic accidents is greatly avoided.

Further, when two adjacent vehicles are respectively located in two different areas, the method further includes:

Transmitting current position information and moving speed of each of the adjacent two vehicles to one of two different areas so that the server in the area can be based on current position information of each of the adjacent two vehicles And the moving speed, calculating the risk factor of collision between two adjacent vehicles.

A further advantageous effect of the above is that in order to reduce the amount of computing data of the server, it is possible to divide according to the area. A vehicle in the same area is responsible for calculating the risk factor of collision between two adjacent vehicles by a server. However, considering that within the boundary of the adjacent area, two adjacent vehicles (one of which is located in one area and the other in the other adjacent area) also has the risk of collision, then The location information of one of the vehicles is sent to another area, and then the server in the other area is responsible for calculating the risk factor of the collision between the two. And when the risk coefficient is large, promptly remind.

In a second aspect, the present invention provides an apparatus for intelligent driving in a haze day, the apparatus comprising:

a receiving unit, configured to receive vehicle traveling speed information and current position information of the vehicle respectively sent by the vehicle-mounted terminals of each of the plurality of vehicles;

a processing unit, configured to determine a distance between two adjacent vehicles according to current location information of the vehicle respectively sent by the vehicle-mounted terminal of each of the plurality of vehicles;

The reminding unit is configured to remind at least one of the two adjacent vehicles to adjust the current traveling speed when the risk coefficient is greater than the preset risk threshold.

The device for intelligently determining that a passenger is safely getting off the vehicle provided by the embodiment of the present invention, each of the vehicles transmits the current location information and speed information to the server through the vehicle-mounted terminal. After the receiving unit in the server receives the information, the processing unit can determine which vehicles are adjacent according to the information. And easily calculate the distance between two adjacent cars, as well as the coefficient of collision risk. If the risk factor of the collision is too large, promptly remind the user to adjust the speed by the reminder unit. In this case, even in the case of smoggy weather and low visibility, the driver master does not need to worry about a traffic accident, as long as the server is followed. The broadcast prompt message sent can be driven normally. Through the above method, it can be ensured that the vehicle can safely travel in smog weather, and the occurrence of traffic accidents is greatly avoided.

Further, the device further includes: a sending unit, configured to transmit current position information and moving speed of each of the adjacent two vehicles to the two different areas when the two adjacent vehicles are respectively located in two different areas One of the areas, so that the server in the area can calculate the risk factor of collision between two adjacent vehicles based on the current position information of each of the adjacent two vehicles and the moving speed.

A further advantageous effect of the above is that in order to reduce the amount of computing data of the server, it is possible to divide according to the area. A vehicle in the same area is responsible for calculating the risk factor of collision between two adjacent vehicles by a server. However, considering that within the boundary of the adjacent area, two adjacent vehicles (one of which is located in one area and the other in the other adjacent area) also have the risk of collision, then it can be utilized The sending unit in the device of the smoky day intelligent driving will inform the location of one of the cars The message is sent to another area, and then the server in the other area is responsible for calculating the risk factor of the collision between the two. And when the risk coefficient is large, promptly remind.

DRAWINGS

FIG. 1 is a schematic structural diagram of a system for intelligent driving in a haze day according to an embodiment of the present invention;

2 is a schematic diagram of a signaling flow of a method for data transmission between components in a system for intelligent driving in a haze day according to an embodiment of the present invention;

FIG. 3 is a schematic flowchart of a method for intelligent driving in a haze day according to an embodiment of the present invention; FIG.

4 is a schematic flow chart of another method for intelligent driving in a haze day according to an embodiment of the present invention;

FIG. 5 is a schematic flowchart of another method for intelligent driving in a haze day according to an embodiment of the present invention; FIG.

FIG. 6 is a schematic structural diagram of an apparatus for intelligently driving in a haze day according to an embodiment of the present invention; FIG.

FIG. 7 is a schematic structural diagram of an apparatus for intelligently driving in a haze day according to an embodiment of the present invention.

Detailed ways

In the following description, for purposes of illustration and description However, it will be apparent to those skilled in the art that the present invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, circuits, and methods are omitted so as not to obscure the description of the invention.

FIG. 1 is a system architecture diagram of intelligent driving in a haze day according to an embodiment of the present invention.

Specifically, as shown in FIG. 1, the system includes at least an in-vehicle terminal 10, a base station 20, and a server 30. Among them, the in-vehicle terminal 10 establishes a communication connection through the base station 20 and the server 30. The in-vehicle terminal 10 is for transmitting a data signal and receiving a control command transmitted by the server 30. The number of base stations 20 and the number of servers 30 are both at least one. In the same area, one or more base stations may be included. In order to reduce the amount of computing data of the server, each area may be configured with one server 30, or multiple areas may be configured with the same server 30. Or, if the area is too large, multiple servers 30 can serve the area at the same time. How to set it up, there is no limit here.

The in-vehicle terminal 10 can establish a communication connection between the base station 20 and the server 30 by using one or more communication technologies of 3G to 5G, IPv4, IPv6, and GPRS. Alternatively, a communication connection is established between the server 30 and other communication technologies. There are no restrictions here.

The base station 20 receives the vehicle travel speed information of each of the plurality of vehicles and the current position information of the vehicle. These parameter information are forwarded to the server 30. The server 30 determines the distance between the adjacent two vehicles based on the current position information of the vehicle transmitted by the in-vehicle terminal 10 of each of the plurality of vehicles.

Then, based on the distance between two adjacent vehicles, and each of the two adjacent vehicles Speed information, calculating the risk factor of collision between two adjacent vehicles.

When the risk coefficient is greater than the preset risk threshold, the base station 20 transmits prompt information to the adjacent two vehicle-mounted terminals 10 in the form of data transmission or broadcast, and reminds at least one of the two adjacent vehicles to adjust the current traveling speed.

Specifically, as shown in FIG. 2, FIG. 2 is a schematic diagram of a signaling flow of a method for data transmission between components in a system for intelligent driving in a haze day according to an embodiment of the present invention.

In this embodiment, in order to enable the reader to more easily understand the specific implementation process of the present application. In FIG. 2, only two adjacent vehicle-mounted terminals will be described as an example.

Step 1: The first in-vehicle terminal sends a first data transmission request to the base station, and the second in-vehicle terminal sends a second data transmission request to the base station, where the data transmission request includes the data size to be transmitted.

Step 2: assign scheduling resources to the first in-vehicle terminal and the second in-vehicle terminal, respectively;

Specifically, after receiving the first data transmission request sent by the first in-vehicle terminal and the second data transmission request sent by the second in-vehicle terminal, the base station may, according to the data transmission request sent by the first in-vehicle terminal and the second in-vehicle terminal, The first in-vehicle terminal transmits a first scheduling resource for data transmission, and transmits a second scheduling resource for data transmission to the second in-vehicle terminal.

Step 3: The first in-vehicle terminal transmits the first data to the base station on the basis of the first scheduling resource, and the second in-vehicle terminal transmits the second data to the base station on the basis of the second scheduling resource.

Specifically, after receiving the scheduling resource, the first in-vehicle terminal loads the first data into the first scheduling resource, and then sends the first data to the base station. Similarly, after receiving the second scheduling resource, the second in-vehicle terminal loads the second data onto the second scheduling resource, and then sends the second data to the base station. The first data includes the current traveling speed and current position information of the vehicle to which the first in-vehicle terminal belongs. Correspondingly, the second data includes the current traveling speed and current position information of the vehicle to which the second in-vehicle terminal belongs.

Step 4: After receiving the first data sent by the first in-vehicle terminal and the second data sent by the second in-vehicle terminal, the base station forwards the first data and the second data to the server.

Step 5: After receiving the first data and the second data, the server parses the first data and the second data respectively. The associated vehicle traveling speed information and the current position information of the vehicle transmitted by the first vehicle-mounted terminal, and the associated vehicle traveling speed information and the current position information of the vehicle transmitted by the second vehicle-mounted terminal are read.

Step 6: The server determines, according to the first data sent by the first in-vehicle terminal and the second data sent by the second in-vehicle terminal, a distance between the vehicle to which the first in-vehicle terminal belongs and the vehicle to which the second in-vehicle terminal belongs.

Step 7: The server calculates the speed of the adjacent two vehicles according to the distance between the vehicle to which the first vehicle-mounted terminal belongs and the vehicle to which the second vehicle-mounted terminal belongs, the speed information of the vehicle to which the first vehicle-mounted terminal belongs, and the speed information of the vehicle to which the second vehicle-mounted terminal belongs. The risk factor for collisions between them.

Step 8: When the server determines that the risk coefficient is greater than the preset risk threshold, reminding at least one of the two adjacent vehicles to adjust the current traveling speed.

Here, as described above, the adjacent two vehicles here are the vehicles to which the first in-vehicle terminal belongs and the vehicle to which the second in-vehicle terminal belongs in the present embodiment.

In the present embodiment, the current position and speed information of each vehicle and the like are acquired in real time, and the distance between adjacent vehicles is judged. Therefore, the risk coefficient of the vehicle collision is judged, and if the risk coefficient is relatively large, the speed of the adjacent two vehicles is adjusted. That is to say, even if there is too much smog between two adjacent vehicles, the presence of the other party cannot be seen, or the distance between the other party and itself cannot be distinguished, or the speed of the other party cannot be judged, etc. Will receive a reminder message sent by the server, and will not cause the vehicle to collide. Thereby reducing the occurrence of traffic accidents and avoiding unnecessary personal injury and property damage.

To further explain in detail the steps performed by the server in the technical solution of the present invention, an embodiment of the present invention provides a schematic flow chart of a method for intelligent driving in a haze day. Specifically, as shown in FIG. 3, the method includes:

Step 310: Receive vehicle travel speed information and current position information of the vehicle respectively sent by the vehicle-mounted terminals of each of the plurality of vehicles.

Specifically, in the above embodiment, the in-vehicle terminal of each of the plurality of vehicles respectively transmits the traveling speed information of the vehicle and the current position information of the vehicle to the server through the base station.

Step 320: Determine a distance between two adjacent vehicles according to the current location information of the vehicle respectively sent by the vehicle-mounted terminals of each of the plurality of vehicles.

Specifically, the current position information of the vehicle respectively sent by the vehicle-mounted terminals of each vehicle is counted, and then the distance between two adjacent vehicles is confirmed. The statistical process may include front and rear distances and left and right distances.

Step 330: Calculate a risk factor of collision between two adjacent vehicles according to a distance between two adjacent vehicles and information about each of the two adjacent vehicles.

Specifically, in general, when judging whether there is a risk of collision between two adjacent vehicles, it is more important to judge the risk of collision between the two vehicles before and after.

However, it is also necessary to consider the risk of collision between the two cars. The judgment at this time may be relatively simple. As long as the distance between the two adjacent vehicles is less than or equal to the preset safety distance, the user is reminded to change the driving direction slightly, and try to ensure that the two vehicles are adjacent to each other. There is a safe distance between them.

If it is judged whether there is a risk between two adjacent vehicles before and after, it is necessary to determine the distance between two adjacent vehicles, and also to determine the speed information of the two vehicles separately. Ultimately based on the speed information of the two, and the distance between the two. Calculate the risk factor for collisions between two adjacent vehicles.

Step 340, when the risk coefficient is greater than the preset risk threshold, reminding at least one of the two adjacent vehicles to adjust the current traveling speed.

Specifically, when the risk coefficient is greater than the preset risk threshold (for example, the preset risk threshold is 0.6), the server needs to consider the current traveling speed of the two adjacent vehicles, and also considers the current traveling speed of the adjacent other vehicles. Therefore, it may be necessary to adjust only the current travel speed of one of the vehicles, or it may be that the current travel speeds of the two adjacent vehicles need to be adjusted. When adjusting, as long as the distance between two adjacent vehicles is at least one preset safe driving distance, the relative driving speed of the two vehicles is at least a preset relative traveling speed.

The invention provides a method for intelligent driving in a haze day, and the server receives the vehicle through real time. The position information of the belonging vehicle and the vehicle traveling speed information transmitted by the terminal, and determining whether the adjacent vehicles are safely traveling according to the two parameters, whether the risk factor of the collision is excessive or the like. If the risk factor of the collision is too large, then at least one of the two adjacent vehicles is alerted to adjust the current speed. Therefore, even if there is too much smog between two adjacent vehicles, the presence of the other party cannot be seen, or the distance between the other party and itself cannot be distinguished, or the speed of the other party cannot be judged, etc., as it will be received. The reminder message sent by the server will not cause the vehicle to collide. Thereby reducing the occurrence of traffic accidents and avoiding unnecessary personal injury and property damage.

The embodiment of the invention further provides another schematic diagram of a method for intelligent driving in a haze day, as shown in FIG. 4, the method includes:

Step 410: Receive vehicle travel speed information and current position information of the vehicle respectively sent by the vehicle-mounted terminals of each of the plurality of vehicles.

Step 420: Determine a distance between two adjacent vehicles according to the current location information of the vehicle respectively sent by the vehicle-mounted terminals of each of the plurality of vehicles.

Step 430: Calculate a risk coefficient of collision between two adjacent vehicles according to a distance between two adjacent vehicles and information about each of the two adjacent vehicles.

When calculating the risk factor of the collision between two adjacent vehicles, the following method steps may be included.

In step a, the inter-vehicle time interval is calculated according to the moving speed of the first vehicle and the distance between the first vehicle and the second vehicle.

In step b, the relative speed is calculated according to the moving speed of the first vehicle and the moving speed of the second vehicle.

Step c, calculating the pre-collision time according to the relative speed, the distance between the first vehicle and the second vehicle.

In step d, the risk coefficient of collision between two adjacent vehicles is calculated according to the time interval of the workshop and the pre-crash time.

Specifically, the inter-vehicle time interval is calculated according to the distance between the first vehicle and the second vehicle according to the moving speed of the first vehicle:

Where t1 is the inter-vehicle time interval; v1 is the moving speed of the first vehicle; s is the distance between the first vehicle and the second vehicle.

Then, based on the moving speed of the first vehicle and the moving speed of the second vehicle, the relative speed is calculated:

v=v1-v2 (1-2)

Where v is the relative speed between two adjacent vehicles; v1 is the moving speed of the first vehicle; v2 is the moving speed of the second vehicle.

The pre-collision time is calculated based on the relative speed and the distance between the first vehicle and the second vehicle:

Where t2 is the pre-crash time; s the distance between the first vehicle and the second vehicle; v is the relative speed between two adjacent vehicles.

Finally, the risk factor of collision between two adjacent vehicles is calculated according to the shop time interval t1 and the pre-collision time t2.

Specifically, the formula for calculating the risk coefficient of collision between two adjacent vehicles according to the shop time interval t1 and the pre-collision time t2 can be expressed by Equations 1-4:

f=αt1+βt2 (1-4)

Where f is the risk coefficient of collision between two adjacent vehicles; the weight coefficient corresponding to the shop time interval t1; and the weight coefficient corresponding to the pre-collision time t2.

Above, the inter-vehicle time interval is the time when the first vehicle reaches the current position of the second vehicle according to the moving speed of the first vehicle. The pre-collision time refers to the time when the first vehicle will collide with the second vehicle according to the distance between the two if the moving speeds of the first vehicle and the second vehicle do not change.

It should be noted that the workshop time interval indicates the degree of influence on the pre-collision time if the moving speed of the preceding vehicle changes. That is, if the moving speed of the preceding vehicle changes, if the moving speed of the rear vehicle does not change, the relative speed will change. Correspondingly, the pre-collision time will change. The smaller the pre-collision time, the greater the likelihood of collision between two adjacent vehicles. Therefore, when calculating the risk factor of collision between two adjacent vehicles, it is necessary to consider both the shop time interval and the pre-collision time. Multiply the two by the corresponding weight coefficients and do the sum. Finally, the risk factor of collision between two adjacent vehicles is obtained.

Step 440: When the risk coefficient is greater than the preset risk threshold, alerting at least one of the two adjacent vehicles to adjust the current traveling speed.

Specifically, after the specific risk coefficient f is calculated according to step 430, it is determined whether the risk coefficient f is greater than a preset risk threshold (for example, the preset risk threshold is 0.6). If the risk factor is greater than the preset risk threshold, the server needs to consider the current travel speed of two adjacent vehicles, while also taking into account the current travel speed of other adjacent vehicles. Therefore, it may be necessary to adjust only the current speed of one of the vehicles. It may also be that the current driving speed of two adjacent vehicles needs to be adjusted. When adjusting, as long as the distance between two adjacent vehicles is at least one preset safe driving distance, the relative driving speed of the two vehicles is at least a preset relative traveling speed.

A method for intelligently driving in a haze day according to an embodiment of the present invention, the server receives the position information of the belonging vehicle and the vehicle traveling speed information transmitted by the vehicle-mounted terminal in real time, and determines whether the adjacent vehicles are between the two vehicles according to the two parameters. Safe driving, whether the risk factor of collision is too large, and so on. If the risk factor of the collision is too large, then at least one of the two adjacent vehicles is alerted to adjust the current speed. Therefore, even if there is too much smog between two adjacent vehicles, the presence of the other party cannot be seen, or the distance between the other party and itself cannot be distinguished, or the speed of the other party cannot be judged, etc., as it will be received. The reminder message sent by the server will not cause the vehicle to collide. Thereby reducing the occurrence of traffic accidents and avoiding unnecessary personal injury and property damage.

Further, since the embodiment of the present invention focuses on the driving safety under the smog weather condition, when calculating the risk coefficient, the concentration of the smog can also be considered as one of the parameters when calculating the risk coefficient.

Specifically, as shown in FIG. 5, FIG. 5 is a schematic flowchart of another method for intelligent driving in a haze day according to an embodiment of the present invention. The method includes:

Step 510: Receive vehicle travel speed information and current position information of the vehicle respectively sent by the vehicle-mounted terminals of each of the plurality of vehicles.

Step 520: Determine a distance between two adjacent vehicles according to the current location information of the vehicle respectively sent by the vehicle-mounted terminals of each of the plurality of vehicles.

Step 530: Receive a smog concentration in the current air respectively sent by the vehicle-mounted terminals of each of the plurality of vehicles.

Specifically, the vehicle terminal of each vehicle can collect the smog in the current air and detect the smog concentration. The haze concentration information and the vehicle travel speed information and the current position information of the vehicle are then simultaneously transmitted to the server or separately to the server. After the server receives these three parameters, step 540 is performed.

Step 540: comprehensively calculate a risk coefficient of collision between two adjacent vehicles according to the workshop time interval, the pre-crash time, and the smog concentration.

However, it is also necessary to consider the risk of collision between the two cars. The judgment at this time may be relatively simple. Some, as long as the distance between the two adjacent vehicles is less than or equal to the preset safety distance, the user is reminded to change the driving direction slightly, and try to ensure a safe distance between the two adjacent vehicles.

If it is judged whether there is a risk between two vehicles in front and rear, it is necessary to determine the distance between two adjacent vehicles, and also to determine the speed information of the two vehicles, the concentration of the smog in the current air, and the like. Wait. Finally, based on the speed information between two adjacent vehicles, the distance between two adjacent vehicles, and the concentration of smog. Comprehensive calculation of the risk factor of collisions between two adjacent vehicles.

When the risk coefficient of the collision between two adjacent vehicles is comprehensively calculated, steps a to c are the same as in the previous embodiment, and are not described herein again. The only difference is step d.

Specifically, in step d, the risk coefficient of collision between two adjacent vehicles is calculated according to the workshop time interval, the pre-crash time, and the haze concentration.

v=v1-v2 (2-2)

The formula for calculating the risk factor of collision between two adjacent vehicles according to the shop time interval t1, the pre-collision time t2, and the haze concentration C can be expressed by Equation 2-4:

f=αt1+βt2 (2-4)

Where f is a risk coefficient of collision between two adjacent vehicles; a weight coefficient corresponding to the shop time interval t1; a weight coefficient corresponding to the pre-collision time t2, which is a weight coefficient corresponding to the smog concentration C, and .

It should be noted that the workshop time interval indicates the degree of influence on the pre-collision time if the moving speed of the preceding vehicle changes. That is, if the moving speed of the preceding vehicle changes, if the moving speed of the rear vehicle does not change, the relative speed will change. Correspondingly, the pre-collision time will be sent Health changes. The smaller the pre-collision time, the greater the likelihood of collision between two adjacent vehicles. The greater the concentration of smog, the more blurred the state of the user seeing the outside of the car. As a result, because the degree of smog is too high, even if the vehicle may be in danger of collision, the user will not be prepared. Then, it is also necessary to consider the degree of burden of the haze concentration on the user's psychology. Therefore, when calculating the risk factor of collision between two adjacent vehicles, it is necessary to consider three parameters of the shop time interval and the pre-collision time and the smog concentration. Multiply the three by the corresponding weight coefficients and do the sum. Finally, the risk factor of collision between two adjacent vehicles is obtained.

Step 550: When the risk coefficient is greater than the preset risk threshold, alerting at least one of the two adjacent vehicles to adjust the current traveling speed.

Specifically, after the specific risk coefficient f is calculated according to step 530, it is determined whether the risk coefficient f is greater than a preset risk threshold (for example, the preset risk threshold is 0.5). If the risk factor is greater than the preset risk threshold, the server needs to consider the current travel speed of two adjacent vehicles, while also taking into account the current travel speed of other adjacent vehicles. Therefore, it may be necessary to adjust only the current travel speed of one of the vehicles, or it may be that the current travel speeds of the two adjacent vehicles need to be adjusted. When adjusting, as long as the distance between two adjacent vehicles is at least one preset safe driving distance, the relative driving speed of the two vehicles is at least a preset relative traveling speed.

The method for intelligent driving in the haze day according to the embodiment of the present invention not only considers the speed information between adjacent vehicles, but also the position information of each of the adjacent two vehicles, and comprehensively considers Parameters such as smog concentration. Through these three parameters, the risk coefficient of the collision between two adjacent vehicles can be determined, and the accuracy can be added. Furthermore, the driving safety of the user in the smog weather is further ensured. It avoids the increase of traffic accidents caused by haze weather, reduces the risk of unnecessary vehicle collisions, and reduces personal injury and property damage.

In addition, in order to prevent a server from processing a large amount of data at the same time, the server burden is excessive. The processing speed is delayed, and unnecessary dangers are caused. In any of the above embodiments, after receiving the vehicle travel speed information and the current position information of the vehicle respectively sent by the vehicle-mounted terminals of each of the plurality of vehicles, each of the steps may include a step A to B, as shown in FIG. 3-5. Show.

Step A: determining an area to which the current location of each of the plurality of vehicles belongs.

In step B, in the same area, the risk coefficient of collision between two adjacent vehicles is calculated.

As mentioned above, one or more servers are placed in each area. Used to deal with the risk of collision between two adjacent vehicles in the area.

Preferably, if two adjacent vehicles belong to two different regions, when two adjacent vehicles are respectively located in two different regions, the method further includes:

Transmitting current position information and moving speed of each of the adjacent two vehicles to one of two different areas so that the server in the area can be based on current position information of each of the adjacent two vehicles And the moving speed, calculating the risk factor of collision between two adjacent vehicles. Wherein, in order to ensure that the server in one of the areas can receive the edge area of the other area Location and speed information. Then, the server of another area needs to transmit the location information and speed information of the vehicle in the edge area to the adjacent area in real time. The adjacent areas are used to calculate the risk factor between two adjacent vehicles belonging to different areas.

The subsequent steps are the same as those of the above embodiment, and will not be described here.

The reader should understand that although the above embodiments of the present invention all use smog weather as a specific application scenario. In fact, the program is not only applicable to smog weather. The program can also be applied to heavy rains, such as excessive rainfall, which also causes the user to see the road outside the car in the car is blurred. Or ordinary sunny weather is also applicable. For example, if the user is a “newbie” or the user has less experience, according to the technical solution provided by the present invention, the traffic accident can be reduced by promptly reminding the “newbie” or less experienced users and adjusting the speed of the vehicles adjacent to them. The situation has happened. Guarantee personal safety and property damage.

Correspondingly, an embodiment of the present invention also provides an apparatus for intelligently driving in a haze day. FIG. 6 is a schematic structural diagram of an apparatus for intelligently driving in a haze day according to an embodiment of the present invention. As shown in FIG. 6, the apparatus includes: a receiving unit 601, a processing unit 602, and a reminding unit 603.

The receiving unit 601 is configured to receive vehicle traveling speed information and current position information of the vehicle respectively sent by the vehicle-mounted terminals of each of the plurality of vehicles.

Specifically, the in-vehicle terminal of each of the plurality of vehicles respectively transmits the traveling speed information of the vehicle and the current position information of the vehicle to the server through the base station. The receiving unit 601 in the server is used for the parameter information transmitted by the in-vehicle terminal.

The processing unit 602 is configured to determine a distance between two adjacent vehicles according to the current location information of the vehicle respectively sent by the in-vehicle terminal of each of the plurality of vehicles. Calculating the risk factor of collision between two adjacent vehicles based on the distance between two adjacent vehicles and the speed information of each of the two adjacent vehicles

Specifically, the processing unit 602 first counts the current location information of the vehicle respectively sent by the in-vehicle terminal of each vehicle, and further confirms the distance between two adjacent vehicles. The statistical process may include front and rear distances and left and right distances.

In general, when the processing unit 602 determines whether there is a risk of collision in two adjacent vehicles, it is more focused on determining the risk of collision between the two vehicles before and after.

Specifically, the processing unit 602 calculates a risk coefficient of a collision between two adjacent vehicles, and the specific process includes:

Step a, according to the moving speed of the first vehicle, and the distance between the first vehicle and the second vehicle, Calculate the time interval of the workshop.

v=v1-v2 (3-2)

f=αt1+βt2 (3-4)

It should be noted that the workshop time interval indicates the degree of influence on the pre-collision time if the moving speed of the preceding vehicle changes. That is, if the moving speed of the preceding vehicle changes, if the moving speed of the rear vehicle does not change, the relative speed will change. Correspondingly, the pre-collision time will change. The smaller the pre-collision time, the greater the likelihood of collision between two adjacent vehicles. Therefore, when calculating the risk factor of collision between two adjacent vehicles, it is necessary to consider both the shop time interval and the pre-collision time. Multiply the two by the corresponding weight coefficients and do the sum. finally Obtain the risk factor of collision between two adjacent vehicles.

The reminding unit 603 is configured to remind at least one of the two adjacent vehicles to adjust the current traveling speed when the risk coefficient is greater than the preset risk threshold.

Specifically, when the processing unit 602 determines that the risk coefficient is greater than the preset risk threshold, the reminding unit 603 is notified. The reminder unit 603 reminds at least one of the two adjacent vehicles to adjust the current traveling speed.

Of course, when the risk coefficient is greater than the preset risk threshold (for example, the preset risk threshold is 0.5), the processor needs to consider the current traveling speed of two adjacent vehicles, while also taking into account the current traveling speed of other adjacent vehicles. Therefore, it may be necessary to adjust only the current travel speed of one of the vehicles, or it may be that the current travel speeds of the two adjacent vehicles need to be adjusted. When adjusting, as long as the distance between two adjacent vehicles is at least one preset safe driving distance, the relative driving speed of the two vehicles is at least a preset relative traveling speed.

An apparatus for intelligently driving in a haze day according to an embodiment of the present invention, the receiving unit receives the position information of the belonging vehicle and the vehicle traveling speed information transmitted by the vehicle-mounted terminal in real time; and the processing unit determines whether the adjacent vehicles are between the two vehicles according to the two parameters. It is safe to drive, whether the risk factor of collision is too large, and so on. If the risk factor of the collision is too large, the reminder unit is used to remind at least one of the two adjacent vehicles to adjust the current vehicle speed. Therefore, even if there is too much smog between two adjacent vehicles, the presence of the other party cannot be seen, or the distance between the other party and itself cannot be distinguished, or the speed of the other party cannot be judged, etc., as it will be received. The reminder message sent by the server will not cause the vehicle to collide. Thereby reducing the occurrence of traffic accidents and avoiding unnecessary personal injury and property damage.

Therefore, the embodiment of the invention further provides a schematic structural diagram of another device for intelligent driving in a haze day. Specifically, as shown in Figure 7.

The device comprises: a receiving unit 701, a processing unit 702, and a reminding unit 703.

The receiving unit 701 is configured to receive vehicle traveling speed information and current position information of the vehicle respectively sent by the vehicle-mounted terminals of each of the plurality of vehicles, and a smog concentration in the current air.

Specifically, the vehicle terminal of each vehicle can collect the smog in the current air and detect the smog concentration. The haze concentration information and the vehicle travel speed information and the current position information of the vehicle are then simultaneously transmitted to the server. The receiving unit 701 in the server is configured to receive the parameter information.

The processing unit 702 is configured to determine a distance between two adjacent vehicles according to the current location information of the vehicle that is respectively sent by the in-vehicle terminal of each of the plurality of vehicles. According to the workshop time interval, pre-collision time, and smog concentration, the risk coefficient of collision between two adjacent vehicles is comprehensively calculated.

Specifically, the processing unit 702 is configured to count the current vehicle sent by each vehicle terminal of each vehicle. Location information to confirm the distance between two adjacent vehicles. The statistical process may include front and rear distances and left and right distances.

In general, when judging whether there is a risk of collision between two adjacent vehicles, it is more important to judge the risk of collision between the two vehicles before and after.

The specific process includes: step a, calculating the inter-vehicle time interval according to the moving speed of the first vehicle and the distance between the first vehicle and the second vehicle.

v=v1-v2 (4-2)

The formula for calculating the risk factor of collision between two adjacent vehicles according to the shop time interval t1, the pre-collision time t2, and the haze concentration C can be expressed by Equation 4-4:

f=αt1+βt2 (4-4)

Where f is the risk factor of collision between two adjacent vehicles; corresponding to the time interval t1 of the workshop The weight coefficient; is a weight coefficient corresponding to the pre-collision time t2, and is a weight coefficient corresponding to the haze concentration C, and.

It should be noted that the workshop time interval indicates the degree of influence on the pre-collision time if the moving speed of the preceding vehicle changes. That is, if the moving speed of the preceding vehicle changes, if the moving speed of the rear vehicle does not change, the relative speed will change. Correspondingly, the pre-collision time will change. The smaller the pre-collision time, the greater the likelihood of collision between two adjacent vehicles. The greater the concentration of smog, the more blurred the state of the user seeing the outside of the car. As a result, because the degree of smog is too high, even if the vehicle may be in danger of collision, the user will not be prepared. Then, it is also necessary to consider the degree of burden of the haze concentration on the user's psychology. Therefore, when calculating the risk factor of collision between two adjacent vehicles, it is necessary to consider three parameters of the shop time interval and the pre-collision time and the smog concentration. Multiply the three by the corresponding weight coefficients and do the sum. Finally, the risk factor of collision between two adjacent vehicles is obtained.

The reminding unit 703 is configured to remind at least one of the two adjacent vehicles to adjust the current traveling speed when the risk coefficient is greater than the preset risk threshold.

Specifically, after the processing unit 702 calculates the specific risk coefficient f, it is also required to determine whether the risk coefficient f is greater than a preset risk threshold (for example, the preset risk threshold is 0.5). However, if the risk factor is greater than the preset risk threshold, the processing unit 702 needs to consider the current traveling speed of the two adjacent vehicles, while also taking into account the current traveling speed of the adjacent other vehicles. Therefore, it may be necessary to adjust only the current travel speed of one of the vehicles, or it may be that the current travel speeds of the two adjacent vehicles need to be adjusted. When adjusting, as long as the distance between two adjacent vehicles is at least one preset safe driving distance, the relative driving speed of the two vehicles is at least a preset relative traveling speed.

According to an embodiment of the present invention, a device for intelligent driving in a haze day, the processing unit not only considers the speed information between adjacent vehicles, but also the position information of each of the adjacent two vehicles, and further integrates Parameters such as the concentration of smog considered. Through these three parameters, the risk coefficient of the collision between two adjacent vehicles can be determined, and the accuracy can be added. Furthermore, the driving safety of the user in the smog weather is further ensured. It avoids the increase of traffic accidents caused by haze weather, reduces the risk of unnecessary vehicle collisions, and reduces personal injury and property damage.

Further, in order to prevent a server from processing a large amount of data at the same time, the server burden is excessive. The processing speed is delayed, and unnecessary dangers are caused. In any of the above-mentioned devices for intelligent driving in the haze, the processing unit may further be configured to: determine an area to which the current position of each of the plurality of vehicles belongs, and calculate the two adjacent vehicles in the same area. The risk factor for collisions between them.

Further, the apparatus may further include a transmitting unit that transmits the current position information and the moving speed of each of the adjacent two vehicles to two different when the two adjacent vehicles are respectively located in two different areas. One of the areas in the area, so that the server in the area can calculate the risk factor of collision between two adjacent vehicles based on the current position information of each of the adjacent two vehicles and the moving speed. Wherein, in order to ensure that the server in one of the areas can receive the location information and speed information of the vehicle in the edge area in the other area. Then, the transmitting unit in the server of another area needs to transmit the position information and the speed information of the vehicle in the edge area to the adjacent area in real time. The processing unit in the adjacent area is facilitated to calculate the risk factor between two adjacent vehicles belonging to different areas.

The reader should understand that in the description of the present specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" and the like means that the embodiment or example is incorporated. The specific features, structures, materials, or characteristics described are included in at least one embodiment or example of the invention. In the present specification, the schematic representation of the above terms is not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in a suitable manner in any one or more embodiments or examples. In addition, various embodiments or examples described in the specification and features of various embodiments or examples may be combined and combined without departing from the scope of the invention.

Although the embodiments of the present invention have been shown and described, it is understood that the above-described embodiments are illustrative and are not to be construed as limiting the scope of the invention. The embodiments are subject to variations, modifications, substitutions and variations.

Claims

A method for intelligent driving in a haze day, characterized in that the method comprises:

Receiving vehicle travel speed information and vehicle current position information respectively transmitted by the vehicle-mounted terminals of each of the plurality of vehicles;

Determining a distance between two adjacent vehicles according to vehicle current position information respectively transmitted by the vehicle-mounted terminals of each of the plurality of vehicles;

Calculating a risk factor of collision between two adjacent vehicles according to a distance between two adjacent vehicles and information about each of the two adjacent vehicles;

When the risk coefficient is greater than the preset risk threshold, at least one of the two adjacent vehicles is alerted to adjust the current traveling speed.
The method according to claim 1, wherein said calculating a collision between two adjacent vehicles based on a distance between two adjacent vehicles and information on each of the two adjacent vehicles The risk factor, including:

Calculating a shop time interval according to a moving speed of the first vehicle and a distance between the first vehicle and the second vehicle, wherein the shop time interval is that the first vehicle arrives at the moving speed of the first vehicle The time when the current position of the second vehicle is described;

Calculating a relative speed according to a moving speed of the first vehicle and a moving speed of the second vehicle;

And calculating a pre-collision time according to the relative speed, the distance between the first vehicle and the second vehicle;

Calculating a risk factor of a collision between two adjacent vehicles according to the workshop time interval and the pre-crash time, wherein the first vehicle is a vehicle traveling behind two adjacent vehicles, the second The vehicle is a vehicle traveling ahead of two adjacent vehicles, and the distance between the first vehicle and the second vehicle is a distance between two adjacent vehicles.
The method according to claim 2, wherein said calculating a collision between two adjacent vehicles based on a distance between two adjacent vehicles and information on each of the two adjacent vehicles Before the risk factor, the method further includes:

Receiving a smog concentration in the current air respectively sent by the vehicle-mounted terminals of each of the plurality of vehicles;

And calculating a risk coefficient of a collision between the adjacent two vehicles according to the workshop time interval, the pre-collision time, and the smog concentration.
The method according to claim 3, wherein said calculating a risk coefficient of a collision between two adjacent vehicles based on said shop time interval, said pre-crash time, and said haze concentration, details as follows:

Collision risk coefficient = α workshop time interval + β pre-collision time + γ haze concentration

The weight coefficient corresponding to the time interval of the workshop is a weight coefficient corresponding to the pre-crash time, and is a weight coefficient corresponding to the smog concentration, and α+β+γ=1.
A method according to any one of claims 1 to 4, wherein said receiving a plurality of vehicles After the vehicle driving speed information and the current position information of the vehicle are respectively sent by the vehicle-mounted terminals of each of the vehicles, the method further includes:

Determining an area to which a current location of each of the plurality of vehicles belongs;

In the same area, calculate the risk factor of collision between two adjacent vehicles.
A device for intelligent driving in a haze day, characterized in that the device comprises:

a receiving unit, configured to receive vehicle traveling speed information and current position information of the vehicle respectively sent by the vehicle-mounted terminals of each of the plurality of vehicles;

a processing unit, configured to determine a distance between two adjacent vehicles according to current location information of the vehicle respectively sent by the vehicle-mounted terminals of each of the plurality of vehicles; according to a distance between two adjacent vehicles, and Calculating the risk coefficient of collision between two adjacent vehicles by using the vehicle speed information of each of the two adjacent vehicles;

The reminding unit is configured to remind at least one of the two adjacent vehicles to adjust the current traveling speed when the risk coefficient is greater than the preset risk threshold.
The apparatus according to claim 6, wherein said processing unit is specifically configured to:

Calculating a shop time interval according to a moving speed of the first vehicle and a distance between the first vehicle and the second vehicle, wherein the shop time interval is that the first vehicle arrives at the moving speed of the first vehicle a time when the second vehicle is in the current position; calculating a relative speed according to the moving speed of the first vehicle and the moving speed of the second vehicle; and according to the relative speed, the first vehicle and the second vehicle The distance between the two, calculate the pre-collision time;

Calculating a risk factor of a collision between two adjacent vehicles according to the workshop time interval and the pre-crash time, wherein the first vehicle is a vehicle traveling behind two adjacent vehicles, the second The vehicle is a vehicle traveling ahead of two adjacent vehicles, and the distance between the first vehicle and the second vehicle is a distance between two adjacent vehicles.
The device according to claim 7, wherein the receiving unit is further configured to:

Receiving a smog concentration in the current air respectively sent by the vehicle-mounted terminals of each of the plurality of vehicles;

The processing unit is further configured to comprehensively calculate a risk coefficient of a collision between the two adjacent vehicles according to the workshop time interval, the pre-collision time, and the smog concentration.
The apparatus according to claim 8, wherein said processing unit calculates a risk coefficient of a collision between two adjacent vehicles based on said shop time interval, said pre-crash time, and said haze concentration The formula is as follows:

Collision risk coefficient = α workshop time interval + β pre-collision time + γ haze concentration

The weight coefficient corresponding to the time interval of the workshop is a weight coefficient corresponding to the pre-crash time, and is a weight coefficient corresponding to the smog concentration, and α+β+γ=1.
The apparatus according to any one of claims 6-9, wherein the processing unit is further configured to: determine an area to which a current location of each of the plurality of vehicles belongs;

In the same area, calculate the risk factor of collision between two adjacent vehicles.