Tbox-based vehicle traffic light data determination method and Tbox

Abstract

The invention relates to a Tbox-based vehicle traffic light data judgment method and Tbox, and belongs to the field of traffic light data reading of vehicles. The Tbox starts traffic light countdown calculation according to the obtained traffic light data, deviation processing is carried out on the calculated traffic light countdown according to the countdown obtained in real time, and if the Tbox cannot obtain the traffic light data, the calculated countdown and the corresponding light state are displayed. The traffic light data can still be effectively displayed after the Tbox cannot request the traffic light data.

Description

Technical Field

[0001] The present invention relates to a vehicle traffic light data determination method based on Tbox and Tbox, belonging to the field of vehicle traffic light data reading. Background Art

[0002] Tbox (Telematics Box, remote communication terminal) is a key component in the Internet of Vehicles system. As the main intelligent vehicle terminal, it provides a remote communication interface for the entire vehicle through 4G remote wireless communication, GPS satellite positioning, acceleration sensing and CAN communication, and realizes functions such as driving data collection and driving trajectory recording. Tbox can obtain vehicle data and upload these data to the TSP (Telematics Service Provider, Internet of Vehicles Service Integrator) backend, or receive instructions from the backend and return the corresponding execution results, so that car owners can remotely monitor and control the vehicle through smart keys or mobile phone APP.

[0003] If a bus can effectively obtain the traffic light data of its lane and display the traffic light data in the bus, it can effectively let the driver or passengers know the road information, so that the driver can make reasonable operations and the passengers can understand the traffic light information, thereby improving the passengers' travel experience.

[0004] Currently, there are several ways for vehicles to obtain traffic light data: 1. Relying on V2X (Vehicle to Everything, vehicle-road cooperative system), the traffic light status and countdown information are obtained in real time through OBU (OnBoard Unit) and RSU (Road Side Unit). However, this method requires adding OBU equipment to the vehicle and RSU equipment to the roadside, and the traffic lights need to have networking functions, which greatly increases the cost.

[0005] 2. Relying on cameras and other image acquisition devices to collect road environment, and then obtain target image information such as stop lines and traffic lights. This method also requires adding corresponding acquisition equipment to the vehicle, which also increases the cost, and has high requirements on the target analysis algorithm used and the performance of the target analysis equipment.

[0006] 3. The Tbox with Internet of Vehicles function establishes a communication connection with the cloud big data platform to obtain red light data including red light status and countdown information. The cloud big data platform can mine the traffic light cycle duration information based on the vehicle start and stop data within a certain period of time, or obtain traffic light information through the vehicle management office.

[0007] However, when Tbox obtains traffic light data through certain methods and processes the traffic light data, the following situations may occur: 1. When Tbox encounters a network anomaly, it will cause data requests to fail and affect the continuous display of traffic light information in the car.

[0008] 2. The Tbox operating environment is complex. When the positioning data is disturbed, it is easy to drift (for example, positioning to the opposite lane), which in turn affects the traffic light data.

[0009] 3. Tbox does not have map data and cannot control the turning on and off of traffic light information on the display device.

[0010] 4. If the data requested by Tbox shows abnormal conditions such as jumps or delays, the traffic light data will be abnormal.

[0011] 5. The IoT card used by Tbox charges according to different traffic volumes. If you keep requesting data, the cost will increase further. Summary of the invention

[0012] The purpose of the present invention is to provide a vehicle traffic light data determination method and Tbox based on Tbox, so as to solve the problem that the Tbox cannot request traffic light data during the driving of the vehicle.

[0013] To achieve the above object, the solution of the present invention includes: A vehicle traffic light data determination method based on Tbox of the present invention comprises the following steps: Tbox continuously requests data from a cloud platform, and thereby obtains traffic light data including this round of light status and countdown; countdown calculation is started according to the countdown in the obtained traffic light data, and the calculated traffic light countdown is compared with the countdown obtained in real time. If they are different, the calculated traffic light countdown is modified to the countdown obtained in real time; and the calculated countdown and the corresponding light status are displayed.

[0014] Furthermore, Tbox requests data from the cloud platform at a first set time interval; when the calculated countdown is greater than the set time, Tbox continuously requests data from the cloud platform in real time at a second set time interval, and the second set time interval is greater than the first set time interval; when the calculated countdown is less than or equal to the set time, Tbox continuously requests data from the cloud platform in real time at the first set time interval.

[0015] Further, one traffic light data from the valid data is selected for countdown calculation; the traffic light data is valid data if it meets the set conditions, and the set conditions include: the time intervals of the countdowns of a set number of traffic lights obtained in sequence are the same as the first set time interval and the corresponding light states of the traffic lights are the same.

[0016] Furthermore, the last arriving traffic light data among the valid data is selected for countdown calculation.

[0017] Furthermore, the data obtained in sequence also includes position information, and the position information includes road information where the vehicle is located in the current driving direction; the setting condition also includes: multiple pieces of road information obtained in sequence are the same.

[0018] Furthermore, the location information also includes the horizontal distance between the vehicle and the traffic light used to control the lane in the current driving direction of the vehicle. When the horizontal distance is less than the set distance, the display of traffic light data is turned on.

[0019] Furthermore, after the display of traffic light data is turned on, the vehicle's travel distance is calculated by obtaining the vehicle's speed in real time during driving. When the travel distance is greater than the set distance, the display of traffic light data is turned off.

[0020] Furthermore, the traffic light data also includes the light state and countdown of the next round of traffic lights. When the calculated countdown ends, the calculated countdown is modified to the countdown of the next round of traffic lights. If no valid data is requested at the end of the modified calculated countdown, the display of the traffic lights is turned off.

[0021] Furthermore, the vehicle speed is obtained through the vehicle engine or GPS.

[0022] A Tbox includes a processor, wherein the processor is used to execute a computer program to implement the steps of a vehicle traffic light data determination method based on the Tbox.

[0023] The beneficial effects of the present invention are as follows: the present invention is a pioneering invention. The Tbox of the present invention starts the calculation of the traffic light countdown according to the obtained traffic light data, and performs deviation processing on the calculated traffic light countdown according to the countdown obtained in real time. If the Tbox cannot obtain the traffic light data, the calculated countdown and the corresponding light state are displayed. The present invention can still effectively display the traffic light data after the Tbox cannot request the traffic light data. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a schematic diagram of the overall system architecture of the present invention; Figure 2 It is a schematic diagram of an overall execution flow of the present invention; Figure 3 It is a schematic diagram of an execution flow of increasing data processing of the present invention. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0026] The idea of ​​the present invention is that Tbox starts the countdown calculation based on the requested traffic light data, and during the calculation process, the calculated traffic light countdown is deviation processed according to the real-time countdown, and then the calculated countdown and the corresponding light state are displayed.

[0027] Method Example: This embodiment provides a vehicle traffic light data determination method based on Tbox. The overall architecture of the present invention is as follows: Figure 1 As shown, it includes a cloud platform for providing traffic light information and road information, a Tbox for requesting corresponding data, and road signs, in-vehicle instruments, and in-vehicle cockpits for receiving traffic light data sent by the Tbox via CAN, 485 or Ethernet.

[0028] The overall execution process of the present invention is as follows: Figure 2 As shown, after the Tbox is powered on, it will determine the validity of the vehicle's position and speed information. If the position and speed information is valid, the Tbox will package the data and request traffic light data from the cloud platform at a set request interval (for example, once a second). The Tbox parses the returned data and sends the data to road signs, vehicle tail screens, in-vehicle instruments, and cockpits through the 485 bus, CAN bus, Ethernet, etc. for display to remind the following vehicles, passengers, and drivers of the current traffic light status. Among them, the request frequency is set according to specific needs. Since the actual traffic lights count down every second, a request once a second is used as the preferred request interval of the present invention.

[0029] In view of various problems that may arise in the traffic light data request method based on Tbox, the present invention adds a traffic light data processing mechanism, which specifically includes the following steps: After Tbox is powered on, it first sets up the network and establishes a communication connection with the cloud platform to ensure the normal operation of the network, and then continuously requests data from the cloud platform, and then obtains the traffic light data including the light state and countdown of this round in sequence. The countdown is calculated based on the countdown in the traffic light data obtained, and the calculated countdown is processed according to the deviation of the countdown obtained in real time, that is, the calculated countdown is modified to the countdown obtained in real time. If Tbox cannot obtain the traffic light data, the calculated countdown and the corresponding light state are displayed. The calculated countdown effectively ensures that when Tbox cannot request the traffic light data, it can still display the traffic light data; and compares it with the traffic light countdown obtained in real time to ensure the accuracy of the calculated countdown.

[0030] Furthermore, Tbox initially requests data from the cloud platform every one second (first set time interval); in order to reduce Tbox's request traffic, when the estimated countdown is greater than the set time (e.g., 15s), Tbox continues to request data from the cloud platform every three seconds (second set time interval). Since the countdown is continuously estimated, when the estimated countdown is less than or equal to the set time, Tbox modifies the request interval to one second and continues to request data from the cloud platform. For processing speed considerations, when the estimated countdown is less than the set time, the estimated countdown is deviated.

[0031] Furthermore, in order to solve the problem that the traffic light data requested by Tbox may have data anomalies, the judgment of data validity is added: the time intervals of the countdowns of the set number of traffic lights obtained in sequence are the same as the first set time interval and the corresponding light states of the traffic lights are the same. Then select one of the traffic light data in the valid data for countdown calculation. For the sake of processing speed, the last traffic light data to arrive in the valid data is selected as the preferred traffic light data of the present invention; if other traffic light data is selected, calculate the difference time between the traffic light data and the last traffic light data to arrive, and then subtract the difference time from the countdown in the traffic light data before performing countdown calculation. Among them, when judging the validity of the data, at least three traffic light data are selected, because the randomness of two traffic light data is high. And for the sake of processing speed, three traffic light data are selected as the preferred set number of the present invention.

[0032] The following is a specific example to illustrate the process of determining valid data: Tbox requests traffic light data from the cloud platform every one second. When three traffic light data are obtained in sequence, the time difference between the arrival time of the first traffic light data and the arrival time of the second traffic light data is calculated, and the time difference between the arrival time of the second traffic light data and the arrival time of the third traffic light data is calculated. The two time differences are compared with the request interval (1s). If they are the same, all three are valid data. If they are different, the fourth traffic light data will be obtained after waiting for 1s. Then the time difference between the arrival time of the second traffic light data and the arrival time of the third traffic light data is calculated, and the time difference between the arrival time of the third traffic light data and the arrival time of the fourth traffic light data is compared with the request interval (1s). If they are the same, all three are valid data. If they are different, continue the above steps.

[0033] Furthermore, in order to solve the problem of vehicle positioning drift, the requested data also includes the road information where the vehicle is located in the current driving direction. When judging the validity of the data, the road information in the multiple data requested back in sequence is also judged. If the multiple road information obtained in sequence are the same, that is, the driving direction and road are the same, then the data is valid.

[0034] Furthermore, if the vehicle is currently far from the traffic light, the display effect of the traffic light is not good, for example, it cannot effectively remind the driver. Therefore, the requested data also includes the horizontal distance between the vehicle and the traffic light for controlling the lane in the current driving direction of the vehicle. When the horizontal distance is less than the set distance (for example, 150m), the last traffic light data in the valid data is displayed through the 485 bus, CAN bus, Ethernet, etc.

[0035] Furthermore, after the display of traffic light data is turned on, the vehicle's travel distance is calculated through the real-time vehicle speed. When the travel distance is greater than the set distance, invalid data is sent through the 485 bus, CAN bus, Ethernet, etc. to turn off the displayed traffic light. Tbox obtains the vehicle speed through the vehicle engine or GPS.

[0036] Furthermore, the traffic light data sent by the cloud platform also includes the light state and countdown of the next round of traffic lights. Since data anomalies or Tbox network anomalies may occur in the process from turning on the traffic light display to driving out of the road covered by the displayed traffic light, when the calculated countdown ends, the countdown calculation is restarted according to the countdown of the next round of traffic lights. If Tbox requests valid data during the countdown calculation, the above steps are executed; otherwise, the display of traffic light data is directly closed after the countdown calculation ends.

[0037] In summary, the overall process of the present invention is as follows Figure 3 As shown, the specific parameters in the figure are only for illustrating the present invention and are not specifically limited.

[0038] Tbox Example: This embodiment provides a Tbox, which includes a processor. The processor executes a computer program to implement the vehicle traffic light data determination method based on Tbox as introduced in the method embodiment. Since the introduction of the method is clear enough, it will not be repeated here.

[0039] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A vehicle traffic light data determination method based on Tbox, characterized in that: The process includes the following steps: Tbox continuously requests data from the cloud platform to obtain traffic light data including the light status and countdown for this round; the countdown is started based on the countdown in the traffic light data, and the calculated traffic light countdown is processed with deviation according to the countdown obtained in real time. If Tbox cannot obtain the traffic light data, the calculated countdown and the corresponding light status will be displayed.

2. The vehicle traffic light data determination method based on Tbox according to claim 1 is characterized in that: Tbox requests data from the cloud platform at a first set time interval; when the calculated countdown is greater than the set time, Tbox continuously requests data from the cloud platform in real time at a second set time interval, and the second set time interval is greater than the first set time interval; when the calculated countdown is less than or equal to the set time, Tbox continuously requests data from the cloud platform in real time at the first set time interval.

3. The vehicle traffic light data determination method based on Tbox according to claim 1 is characterized in that: Select one of the traffic light data in the valid data to perform countdown calculation; Traffic light data that meets set conditions is the valid data, and the set conditions include: the time intervals of the countdown of a set number of traffic lights obtained in sequence are the same as the first set time interval and the corresponding light states of the traffic lights are the same.

4. The vehicle traffic light data determination method based on Tbox according to claim 3 is characterized in that: The last arriving traffic light data among the valid data is selected for countdown calculation.

5. The vehicle traffic light data determination method based on Tbox according to claim 3 is characterized in that: The data obtained in sequence also includes position information, and the position information includes road information where the vehicle is located in the current driving direction; the setting condition also includes: the multiple road information obtained in sequence are the same.

6. The vehicle traffic light data determination method based on Tbox according to claim 5 is characterized in that: The location information also includes the horizontal distance between the vehicle and the traffic light used to control the lane in the current driving direction of the vehicle. When the horizontal distance is less than the set distance, the display of traffic light data is turned on.

7. The vehicle traffic light data determination method based on Tbox according to claim 6 is characterized in that: After the display of traffic light data is turned on, the vehicle's travel distance is calculated by obtaining the vehicle's speed in real time during driving. When the travel distance is greater than the set distance, the display of traffic light data is turned off.

8. The vehicle traffic light data determination method based on Tbox according to claim 7 is characterized in that: The traffic light data also includes the light state and countdown of the next round of traffic lights. When the calculated countdown ends, the calculated countdown is modified to the countdown of the next round of traffic lights. If no valid data is requested at the end of the modified calculated countdown, the display of the traffic lights is turned off.

9. The vehicle traffic light data determination method based on Tbox according to claim 7 is characterized in that: The vehicle speed is obtained through the vehicle engine or GPS.

10. A Tbox, comprising a processor, characterized in that: The processor is used to execute a computer program to implement the steps of the vehicle traffic light data determination method based on Tbox as described in any one of claims 1 to 9.

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