Information processing method, roadside intelligent station and vehicle-mounted unit of intelligent transportation system

Abstract

The present application is applicable to the field of intelligent transportation technology, and provides an information processing method of an intelligent transportation system, a roadside intelligent station and an on-board unit. The processing method includes: obtaining the sleep duration; and sending the sleep duration to the OBU via the roadside unit RSU. The above method can improve the endurance of the OBU.

Description

Technical Field

[0001] The present application belongs to the field of intelligent transportation technology, and in particular to an information processing method, a roadside intelligent station, a vehicle-mounted unit, and a computer-readable storage medium of an intelligent transportation system. Background Art

[0002] Electronic Toll Collection (ETC) achieves the purpose of allowing vehicles to pay fees (such as highway or bridge fees) without stopping when passing through toll stations through dedicated short-range communication between the on-board unit (OBU) installed on the vehicle windshield and the microwave antenna on the ETC lane at the toll station, as well as the use of computer networking technology to conduct back-end settlement processing with banks.

[0003] The existing ETC technical solution is an ETC system that meets the requirements of the "Technical Requirements for Networked Electronic Toll Collection on Toll Roads", "GB / T20851.1" to "GB / T 20851.5" and other specifications. It uses short-range communication to complete a series of processes such as link establishment, path acquisition, fee deduction, and link release between the OBU and the road side unit (RSU). In order to solve the problem of repeated access to the RSU by the device, the OBU will enter sleep mode after the link is released, and will compare the currently acquired Beacon Service Table (BST) information with the BST information of the previous transaction before the next link is established. If it is determined that the currently acquired BST information and the BST information of the previous transaction belong to the same ID, the OBU will not establish a link with the RSU of the ID, and will not establish a link with the RSU of the ID again within 5 minutes.

[0004] Although the OBU will enter sleep mode after completing the transaction, due to the existence of the wake-up mechanism, the OBU will still be awakened by the BST signal, and since the RSU will change its own identification (RSUID) after completing a transaction with the OBU or after a fixed time, the RSUID is a new device for the OBU, that is, the OBU will not suppress the RSU corresponding to this RSUID, and will still reply to the Vehicle Service Table (VST). In other words, as long as the OBU is still within the coverage of the RSU, it will always be in working state or frequently enter working state from sleep state, so that the power of the OBU is always consumed, thereby affecting the endurance of the OBU. Summary of the invention

[0005] The embodiments of the present application provide an information processing method, a roadside intelligent station and an on-board unit of an intelligent transportation system, which can solve the problem of poor endurance of an OBU.

[0006] In a first aspect, an embodiment of the present application provides an information processing method for an intelligent transportation system, which is applied to a roadside intelligent station, including:

[0007] Get sleep duration;

[0008] The sleep duration is sent to the on-board unit OBU through the roadside unit RSU, wherein the sleep duration is used to indicate that the OBU enters a sleep state, and the duration of entering the sleep state is equal to the sleep duration.

[0009] In a second aspect, an embodiment of the present application provides an information processing method for an intelligent transportation system, which is applied to an on-board unit OBU, comprising:

[0010] Receive the sleep duration sent by RSU;

[0011] Entering a sleeping state, and the duration of entering the sleeping state is equal to the sleeping duration.

[0012] In a third aspect, an embodiment of the present application provides a roadside intelligent station, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in the first aspect when executing the computer program.

[0013] In a fourth aspect, an embodiment of the present application provides a vehicle-mounted unit, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in the second aspect when executing the computer program.

[0014] In a fifth aspect, an embodiment of the present application provides an intelligent transportation system, the intelligent transportation system comprising a roadside intelligent station, a roadside unit and a vehicle-mounted unit;

[0015] The roadside intelligent station is used to execute the method according to the first aspect;

[0016] The on-board unit is used to execute the method as described in the second aspect.

[0017] In a sixth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in the first aspect or the second aspect is implemented.

[0018] In a seventh aspect, an embodiment of the present application provides a computer program product. When the computer program product runs on a roadside intelligent station, the roadside intelligent station executes the method described in the first aspect above.

[0019] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0020] In the embodiment of the present application, after the sleep duration generated by the roadside intelligent station is sent to the OBU, the OBU will enter a sleep state, and the duration of entering the sleep state is equal to the sleep duration it receives. Therefore, when the OBU enters the sleep state, it will not be awakened by the existing wake-up mechanism, thereby avoiding the OBU being in a working state all the time or frequently entering a working state from a sleep state, thereby reducing the power consumption of the OBU and improving the endurance of the OBU. At the same time, since the sleep duration of the OBU is determined, the OBU will not be awakened in the sleep state, that is, the OBU will not reply VST to the RSU (the RSU will not send information containing the VST to the roadside intelligent station), thereby not affecting the VST replied by other devices and the access time of other devices to the RSU. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below.

[0022] Figure 1 It is a flowchart of an information processing method for an intelligent transportation system provided by an embodiment of the present application;

[0023] Figure 2 This is a flowchart of another information processing method for an intelligent transportation system provided by an embodiment of the present application.

[0024] Figure 3 This is a sleep processing schematic diagram provided by an embodiment of the present application;

[0025] Figure 4 It is a structural diagram of an intelligent transportation system provided by an embodiment of the present application;

[0026] Figure 5 It is a schematic diagram of interaction between a vehicle-mounted unit, a roadside unit and a roadside intelligent station provided in an embodiment of the present application;

[0027] Figure 6 It is a structural schematic diagram of a roadside intelligent station provided in an embodiment of the present application;

[0028] Figure 7 It is a structural schematic diagram of a vehicle-mounted unit provided in an embodiment of the present application. DETAILED DESCRIPTION

[0029] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0030] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0031] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0032] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0033] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the phrases "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. appearing in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways.

[0034] Embodiment 1:

[0035] Figure 1 The present application embodiment provides a flow chart of an information processing method for an intelligent transportation system, which is applied to a roadside intelligent station and is described in detail as follows:

[0036] Step S11, obtaining the sleep duration.

[0037] In the embodiment of the present application, the sleep duration can be determined by the roadside intelligent station, or it can be determined by other devices and then sent to the roadside intelligent station.

[0038] In some embodiments, the roadside intelligent station may determine the sleep duration in the following manner, that is, step S11 includes:

[0039] A1. Obtain influencing factors of sleep duration, wherein the influencing factors include at least one of the following: the type of the road section where the OBU is located, the installation distance between two adjacent roadside intelligent stations, the capability level of the OBU, the speed of the vehicle where the OBU is located, the type of the vehicle where the OBU is located, and the driving behavior of the driver of the vehicle where the OBU is located.

[0040] The road section where the OBU is located refers to the road section where the OBU is currently located. For example, if multiple road side units (RSUs) are pre-installed at intervals on the road, the road section where the OBU is located may be the road section where the RSU currently communicating with the OBU is located. For another example, if multiple road side intelligent stations are pre-installed at intervals on the road, the road section where the OBU is located may be the road section where the road side intelligent station currently communicating with the target RSU is located, and the target RSU is the RSU currently communicating with the OBU.

[0041] Among them, if the distances between any two roadside smart stations installed on the road are equal, then the installation distance between the two adjacent roadside smart stations refers to the distance between any two adjacent roadside smart stations installed on the road. If the distances between any two roadside smart stations installed on the road are not equal, then the installation distance between the two adjacent roadside smart stations refers to the distance between the current roadside smart station and its downstream adjacent roadside smart station. In the embodiment of the present application, the installation distance between the two adjacent roadside smart stations can be determined after the installation of each roadside smart station is completed.

[0042] Wherein, the capability of the OBU may include the power supply capability, and correspondingly, the capability level of the OBU includes the level corresponding to the power supply capability. In the embodiment of the present application, the capability level of the OBU may be divided into a common type and an enhanced type, and the enhanced type means that certain functions can be provided additionally on the basis of the common type, such as when the OBU is in the long power supply mode, it is an enhanced device, and real-time performance is the primary factor for the OBU at this time. Wherein, the capability level of the OBU can be determined by the OBU itself whether it is externally powered, and its corresponding capability level is reported through a dedicated short-range communication technology (Dedicated Short Range Communication, DSRC).

[0043] Among them, the speed of the vehicle where the OBU is located can be obtained through radar or uploaded by OBU. Specifically, the method of obtaining the speed of the vehicle through radar can adopt the following process: the speed of the target object can be calculated through radar, the license plate of the target object can be identified through the camera, and the identified information is transmitted to the roadside intelligent station. After the roadside intelligent station obtains the basic information of the OBU through BST, it can match the license plate identified by the camera through the background authentication information query, and correspond to the speed information. The method of obtaining the speed of the vehicle through OBU upload can adopt the following process: OBU outputs the current speed through Beidou positioning data; or, calculates the current speed through inertial navigation sensors; or, obtains the speed of the vehicle through the car CAN bus. After the OBU determines the speed of the vehicle, the speed of the vehicle is sent to the roadside intelligent station through RSU.

[0044] Among them, vehicle types include small cars, medium and large cars, and special vehicles. Special vehicles here include special vehicles such as ambulances and fire trucks. In the embodiment of the present application, the vehicle type is written into the internal security chip according to the physical vehicle type when the OBU is reissued. During the transaction authentication process of the OBU through the RSU and the roadside intelligent station, the roadside intelligent station can obtain it from the authentication data.

[0045] Among them, driving behaviors include: driving without abnormal behavior, driving across the line, and driving while fatigued. Specifically, driving behaviors can be collected and reported through in-vehicle sensors, roadside intelligent sensing devices, etc.

[0046] A2. Determine the influence coefficient of the above influence factor according to the influence factor of the above sleep duration.

[0047] For example, if the influencing factor is the capability level of the OBU: ordinary type D1 and enhanced type D2, then the influencing coefficient of the capability level of the OBU has the following magnitude relationship λ(D1)>λ(D2). In some embodiments, the influencing coefficient of ordinary type D1 can be set to λ(D1)=1, and the influencing coefficient of enhanced type D2 can be set to λ(D2)=0.

[0048] For example, if the influencing factors are small cars B1, medium and large cars B2, and special vehicles B3, the influencing coefficients corresponding to these influencing factors have the following size relationship: λ(B1)>λ(B2)>λ(B3). In some embodiments, the influencing coefficient of small cars λ(B1)=1, the influencing coefficient of medium and large cars λ(B2)=0.5, and the influencing coefficient of special vehicles λ(B3)=0.1.

[0049] For example, if the influencing factors are normal driving behavior C1, crossing the line driving C2, and fatigue driving C3, the magnitude relationship of the influencing coefficients corresponding to the influencing factors is as follows: λ(C1)>λ(C2)>λ(C3). In some embodiments, the influencing coefficient of normal driving behavior λ(C1)=1 can be set, while crossing the line driving is a less dangerous driving behavior, and its corresponding influencing coefficient λ(C2)=0.5 can be set, and fatigue driving requires real-time warning, and its corresponding influencing coefficient λ(C3)=0 can be set.

[0050] In the embodiment of the present application, when the influencing factors include data for generating warning information (such as when the influencing factors include fatigue driving), the roadside intelligent station needs to generate warning information and send the warning information to the OBU, and when the influencing factors do not include data for generating warning information, the roadside intelligent station does not need to generate warning information. That is, because when the influencing factors are different, the degree of their influence on the sleep duration is also different, therefore, it is necessary to determine the influence coefficient corresponding to the influencing factor according to the influencing factor to improve the accuracy of the sleep duration determined subsequently.

[0051] A3, determine the sleep duration according to the influence coefficients of the above-mentioned influencing factors.

[0052] Specifically, when there are multiple influencing factors, the sleep duration is determined according to the influence coefficients of all the influencing factors.

[0053] Step S12, sending the sleep duration to the OBU via the RSU, wherein the sleep duration is used to indicate that the OBU enters a sleep state, and the duration of entering the sleep state is equal to the sleep duration.

[0054] Since in the intelligent transportation system, the roadside intelligent station usually does not communicate directly with the OBU, but directly communicates with the RSU, the roadside intelligent station needs to first send the sleep duration to the RSU, and the RSU then sends the received sleep duration to the corresponding OBU, and the OBU will enter the sleep state according to the received sleep duration. It should be pointed out that since the sleep duration of the OBU entering the sleep state is determined, in the embodiment of the present application, after the OBU enters the sleep state, the OBU will not be awakened.

[0055] In the embodiment of the present application, after the sleep duration generated by the roadside intelligent station is sent to the OBU, the OBU will enter a sleep state, and the duration of entering the sleep state is equal to the sleep duration it receives. Therefore, when the OBU enters the sleep state, it will not be awakened by the existing wake-up mechanism, thereby preventing the OBU from being in a working state all the time or frequently entering a working state from a sleep state, thereby reducing the power consumption of the OBU and improving the endurance of the OBU. At the same time, since the OBU will not be awakened in the sleep state, the OBU will not reply to the RSU with a VST (the RSU will not send information containing the VST to the roadside intelligent station), thereby not affecting the VST replied by other devices and the access time of other devices to the RSU. In addition, since the influencing factors include at least one of the following: the type of section of the road where the OBU is located, the installation distance between two adjacent roadside intelligent stations, the capability level of the above-mentioned OBU, the speed of the vehicle where the above-mentioned OBU is located, the type of vehicle where the above-mentioned OBU is located, and the driving behavior of the driver of the vehicle where the above-mentioned OBU is located, and these influencing factors usually include data that need to generate early warning information (such as driving behavior has a very large impact on driving safety, and operations with high risk factors require real-time warnings), that is, data that needs to wake up the OBU, therefore, the sleep duration determined according to the influence coefficient of the above-mentioned influencing factors is more accurate.

[0056] In some embodiments, the above step A3 includes:

[0057] A31. Determine the overall influence coefficient of all influencing factors according to the speed of the vehicle where the OBU is located.

[0058] A32. Determine the sleep duration based on the influence coefficients of the above-mentioned influence factors and the overall influence coefficients of all influence factors.

[0059] Since the speed of the vehicle is usually related to the warning information (for example, when the vehicle exceeds the speed limit, a warning information will be generated, and the generated warning information needs to be sent to the OBU so that the driver can be reminded in time through the OBU), setting an overall influence coefficient determined according to the speed of the vehicle for all influencing factors can more flexibly adjust the sleep duration, thereby improving the accuracy of the determined sleep duration.

[0060] In some embodiments, the above step A31 includes:

[0061] A311. When the speed of the vehicle where the OBU is located is within the normal speed range, the overall impact coefficient is determined according to the speed limit value of the road section where the OBU is located and the speed of the vehicle where the OBU is located.

[0062] In actual situations, different road sections may have different speed ranges. When a vehicle travels to a certain road section, if the speed of the vehicle is within the speed limit range corresponding to the road section, it is considered that the speed of the vehicle is within the normal speed range of the road section. At this time, the overall impact coefficient k can be calculated in the following way:

[0063] k=V1 / Vn, where V1 is the safe driving speed, which is determined according to the speed limit of the road section where the OBU is located, and Vn is the speed of the vehicle where the OBU is located.

[0064] In some embodiments, V1 may be equal to 80% of the current road section speed limit.

[0065] A312. When the speed of the vehicle where the OBU is located is not within the normal speed range, the overall impact coefficient is a preset fixed value, and the preset fixed value is smaller than the overall impact coefficient obtained when the speed of the vehicle where the OBU is located is within the normal speed range.

[0066] Specifically, when the vehicle's speed is not within the normal speed range of the current road section, it indicates that the vehicle is speeding or idling. Since the driver needs to be reminded in either case, a smaller overall impact coefficient needs to be set to reduce the sleep time. For example, when the road condition is normal, if the vehicle's speed is less than 60km / h, the vehicle is considered to be idling. At this time, k=0.2 can be set; if the vehicle is speeding, because speeding poses a greater safety hazard, real-time reminders are required. At this time, k=0 can be set, that is, no sleep time is set (sleep time is 0).

[0067] In the embodiment of the present application, since the speed of the vehicle is related to whether the OBU needs to remind the driver, that is, it is related to whether the OBU needs to enter the working state, therefore, the calculation method of the overall influence coefficient is determined according to whether the speed of the vehicle is within the normal speed range, which can further improve the accuracy of the subsequent sleep duration.

[0068] In some embodiments, it is assumed that the road section A is divided into the following categories according to safety level: ordinary road section A1, restricted road section A2, poor sight distance road section A3, accident road section A4, dangerous road section A5, and avoidance road section A6;

[0069] The installation distance between two adjacent roadside intelligent stations is L;

[0070] The speed of the vehicle is V;

[0071] Vehicle type B is divided into: small vehicle B1, medium and large vehicle B2, special vehicle B3;

[0072] Driving behavior C is divided into: driving without abnormal behavior C1, driving across the line C2, and driving while fatigued C3;

[0073] The capability level D of OBU is divided into: ordinary equipment D1, enhanced equipment D2;

[0074] The sleep duration Tn can be calculated using the following calculation model:

[0075] Tn=k*λ(Ai)*λ(Bj)*λ(Ck)*λ(Dl)*L / Vn

[0076] Wherein, n represents the nth on-board unit, Vn represents the speed of the nth on-board unit (i.e., the speed of the vehicle where the nth on-board unit is located), and "λ()" is the influence coefficient. The greater the influence of the influence factor on the sleep duration, the smaller the value of the corresponding influence coefficient. In the embodiment of the present application, the value range of the influence coefficient is set to [0,1], wherein λ(Ai) represents the influence coefficient of section A when the section type is Ai, λ(Bj) represents the influence coefficient of vehicle type B when the vehicle type is Bj, λ(Ck) represents the influence coefficient of driving behavior C when the driving behavior is Ck, λ(Dl) represents the influence coefficient of the on-board unit capability level D when the Dl level, and k represents the overall influence coefficient of all influencing factors. k takes effect only when the vehicle is not speeding and the overall value of (λ(Ai)*λ(Bj)*λ(Ck)*λ(Dl)) is not 1 or 0. The slower the vehicle speed, the higher the corresponding safety factor. However, when the product of (k*λ(Ai)*λ(Bj)*λ(Ck)*λ(Dl)) is greater than 1, the result is 1, and k=V1 / Vn, where V1 is the safe driving speed, and its value can be set to 80% of the speed limit of the current road section. In addition, when the road condition is normal and the vehicle is idling (such as the vehicle speed is <60km / h), k can be set to 0.2. When the vehicle is speeding, the sleep time should not be set, and a real-time reminder should be given. At this time, k can be set to 0.

[0077] To more clearly describe the process of generating sleep duration in different situations, the following describes it in combination with specific scenarios:

[0078] Assume that the roadside intelligent station is installed at a distance of 1km, the speed of vehicle n is 100km / h, the vehicle type is a small car, and λ(Bj)=1, the capability level of OBU is ordinary, and λ(Dl)=1, the speed limit of the road section is 100km / h, so k=100*0.8 / 100=0.8.

[0079] a) Driving without abnormal behavior, λ(Ck)=1. On normal roads, λ(Ai)=1. Since the overall value of (λ(Ai)*λ(Bj)*λ(Ck)*λ(Dl)) is 1, k is not effective. At this time, the sleep time T=1*1*1*1*1 / 100=0.01h, which is 36s in seconds.

[0080] b) When crossing the line, λ(Ck)=0.5 and on the ordinary road, λ(Ai)=1. Since the overall value of (λ(Ai)*λ(Bj)*λ(Ck)*λ(Dl)) is neither 1 nor 0, k takes effect, and the sleep time T=0.8*1*1*0.5*1*1 / 100=0.004h, which is converted into seconds as 14.4s, rounded down to 14s.

[0081] c) Fatigue driving λ(Ck)=0 On ordinary roads λ(Ai)=1, k is not effective, and the sleep duration T=0.

[0082] d) Driving without abnormal behavior, λ(Ck)=1, on restricted road section, λ(Ai)=0.8, k takes effect, sleeping time T=0.8*0.8*1*1*1*1 / 100=0.0064h, converted into seconds is 23.04s, rounded down to 23s.

[0083] e) When crossing the line, λ(Ck)=0.5 and on the restricted road section, λ(Ai)=0.8, k takes effect, and the sleep time T=0.8*0.8*1*0.5*1*1 / 100=0.0032h, which is 11.52s in seconds and rounded down to 11s.

[0084] f) Fatigue driving λ(Ck)=0 On restricted roads λ(Ai)=0.8, k is not effective, and the sleep duration T=0.

[0085] Assume that the roadside intelligent station is installed at a distance of 1km, the speed of vehicle n is 60km / h, the vehicle type is a small vehicle, λ(Bj)=1, the ordinary equipment λ(Dl)=1, and the speed limit of the road section is 100km / h, so k=100*0.8 / 60=4 / 3.

[0086] a) Driving without abnormal behavior λ(Ck)=1 On ordinary roads λ(Ai)=1, k is not effective, and the sleep time T=1*1*1*1*1*1 / 60=0.0167h, which is converted into seconds as 60s.

[0087] b) When crossing the line, λ(Ck)=0.5 and λ(Ai)=1 on ordinary roads, k takes effect and the sleep time T=4 / 3*1*1*0.5*1*1 / 60(h), which is 40s in seconds.

[0088] c) Fatigue driving λ(Ck)=0 On ordinary roads λ(Ai)=1, k is not effective, and the sleep duration T=0.

[0089] d) Driving without abnormal behavior, λ(Ck)=1, on restricted road section, λ(Ai)=0.8, k takes effect. Since 4 / 3*0.8*1*1*1=1.067 exceeds 1, it is only taken as 1. At this time, the sleep duration T=1*1 / 60(h), which is converted into 60s in seconds.

[0090] e) When crossing the line, λ(Ck)=0.5 and λ(Ai)=0.8 on the restricted road, k takes effect. Since (k*λ(Ai)*λ(Bj)*λ(Ck)*λ(Dl)) does not exceed 1, the sleep duration T=4 / 3*0.8*1*0.5*1*1 / 60(h), which is 11.52s in seconds, rounded down to 11s.

[0091] f) Fatigue driving λ(Ck)=0 On restricted roads λ(Ai)=0.8, k is not effective, and the sleep duration T=0.

[0092] The conditions of other road sections are calculated according to this model and will not be repeated here.

[0093] In addition, for speeding, the driver needs to be reminded in real time. At this time, the sleep time T=0.

[0094] For idling, assuming that the roadside intelligent station is installed at a distance of 1km, the speed of vehicle n is 40km / h, the vehicle type is a small car λ(Bj)=1, and the capability level of OBU is ordinary, then λ(Dl)=1, and k=0.5.

[0095] a) Driving without abnormal behavior λ(Ck)=1 On ordinary roads λ(Ai)=1, k takes effect, and the sleep duration T=0.2*1*1*1*1 / 40(h), which is converted into seconds as 18s.

[0096] b) When crossing the line, λ(Ck)=0.5 and on ordinary roads, λ(Ai)=1, k takes effect. Since (k*λ(Ai)*λ(Bj)*λ(Ck)*λ(Dl)) does not exceed 1, the sleep duration T=0.2*1*1*0.5*1*1 / 40(h), which is 9s in seconds.

[0097] c) Fatigue driving λ(Ck)=0 On ordinary roads λ(Ai)=1, k is not effective, and the sleep duration T=0.

[0098] d) Driving without abnormal behavior, λ(Ck)=1, and λ(Ai)=0.8 on the restricted road section, k takes effect. Since (k*λ(Ai)*λ(Bj)*λ(Ck)*λ(Dl)) does not exceed 1, the sleep duration T=0.2*0.8*1*1*1*1*1 / 40(h), which is 14.4s in seconds, rounded down to 14s.

[0099] e) When crossing the line, λ(Ck)=0.5 and on the restricted road section, λ(Ai)=0.8, k takes effect. Since (k*λ(Ai)*λ(Bj)*λ(Ck)*λ(Dl)) does not exceed 1, the sleep duration T=0.2*0.8*1*0.5*1*1 / 40(h), which is 7.2s in seconds and rounded down to 7s.

[0100] f) Fatigue driving λ(Ck)=0 On restricted roads λ(Ai)=0.8, k is not effective, and the sleep duration T=0.

[0101] In some embodiments, considering that adjacent roadside intelligent stations in an upstream and downstream relationship in a road will share information, therefore, if the roadside intelligent station located upstream of the current roadside intelligent station determines the sleep duration of an OBU, and the OBU will pass through the current roadside intelligent station, then the current roadside intelligent station will receive the sleep duration of the OBU shared by its upstream roadside intelligent station, or, after the OBU completes a sleep and accesses the current roadside intelligent station again, the current roadside intelligent station can obtain the sleep duration of the OBU stored in it from itself, at which time, a duration can be determined as the new sleep duration of the OBU based on the existing sleep duration. That is, if the influence coefficient is not greater than 1 and not less than 0, and the greater the influence of the above-mentioned influence factor on the above-mentioned sleep duration, the smaller the influence coefficient corresponding to the above-mentioned influence factor, then the information processing method of the above-mentioned intelligent transportation system also includes:

[0102] If the sleep duration of the above-mentioned OBU is obtained from the upstream roadside intelligent station or from itself, and it is judged that the influencing factor of the currently obtained sleep duration is the same as the influencing factor of the sleep duration corresponding to the obtained sleep duration of the above-mentioned OBU, and it is judged that there is an influencing coefficient less than 1 among the influencing coefficients corresponding to the influencing factors of the above-mentioned sleep duration, then the new sleep duration of the above-mentioned OBU is determined according to the obtained sleep duration of the above-mentioned OBU, wherein the new sleep duration of the above-mentioned OBU is less than the obtained sleep duration of the above-mentioned OBU.

[0103] In the embodiment of the present application, since the range of setting the influence coefficient is [0,1], and the greater the impact of the influence factor on the sleep duration, the smaller the influence coefficient corresponding to the influence factor, therefore, if the influence coefficient is less than 1, it indicates that there is an influence factor that has a greater impact on the sleep duration. Therefore, when the current roadside intelligent station determines that the latest acquired influence factor is the same as the influence factor used when the sleep duration of the OBU was determined last time, and there is an influence coefficient less than 1 among the influence coefficients of the influence factors, a shorter sleep duration will be set as the new sleep duration of the OBU to shorten the time the OBU enters the sleep state, thereby reminding the driver with a higher frequency.

[0104] For example, if the roadside intelligent station determines that the driving behavior is that the vehicle is crossing the line, and the roadside intelligent station monitors that the vehicle has not resumed normal driving after receiving the abnormal driving warning (the abnormal driving warning is a kind of early warning information), then the roadside intelligent station sets the sleep time to 1 / 2 of Tn, where Tn is the sleep time of the vehicle obtained by the roadside intelligent station. Of course, "1 / 2" is just an example. In actual situations, "1 / 3" can also be taken, and no one is listed here. As long as the new sleep time is less than the previously determined sleep time, it is fine. For example, if the roadside intelligent station determines that the vehicle is idling based on the road condition information and the speed of the vehicle, and the roadside intelligent station monitors that the vehicle has not resumed normal driving after receiving the abnormal driving warning, then the roadside intelligent station sets the sleep time to 1 / 2 of Tn. Of course, "1 / 2" is just an example. In actual situations, "1 / 4" can also be taken, and no one is listed here.

[0105] In some embodiments, considering that the OBU will enter a sleep state after acquiring the sleep duration and will not be awakened during the sleep duration, therefore, before the above step S12, it also includes:

[0106] It is determined whether it is necessary to generate warning information according to the above-mentioned influencing factors, and when it is necessary to generate warning information, corresponding warning information is generated, and the generated warning information is sent to the above-mentioned OBU through the above-mentioned RSU.

[0107] In the embodiment of the present application, the influencing factors for generating warning information are determined in advance. For example, if the influencing factor of crossing the line is determined as the influencing factor for generating warning information, after the roadside intelligent station analyzes the influencing factors of crossing the line, it will generate warning information corresponding to the crossing the line, and send the warning information to the RSU so that the RSU can send it to the corresponding OBU. Since the warning information is sent to the OBU first and then the sleep duration is sent to the OBU, the OBU can send the prompt corresponding to the warning information to the driver in time before entering the sleep state.

[0108] In some embodiments, the above-mentioned road section types are divided according to the safety level of the road section, and the lower the safety level of the above-mentioned road section, the smaller the impact coefficient corresponding to the above-mentioned road section type.

[0109] For example, road section A is divided into six types of sections according to their safety level: ordinary section A1, restricted section A2, poor sight distance section A3, accident section A4, dangerous section A5, and avoidance section A6. Since the safety level of the sections gradually decreases from section A1 to section A6, the influence coefficients corresponding to sections A1 to section A6 are set to gradually decrease. For example, assuming that the influence coefficients corresponding to sections A1 to section A6 are λ(A1), λ(A2), λ(A3), λ(A4), λ(A5), and λ(A6), respectively, then λ(A1)>λ(A2)>λ(A3)>λ(A4)>λ(A5)>λ(A6). In the embodiment of the present application, ordinary sections can be directly put to sleep, that is, λ(A1)=1; restricted sections have little impact on general vehicles, but there are weight and height restrictions for medium and large vehicles, so the influencing factors are imposed on the vehicle model, and therefore λ(A2)=0.8 is set; sections with poor visibility may require repeated reminders, and in this case λ(A3)=0.5 can be set; accident sections require more frequent reminders for safe driving, and in this case λ(A4)=0.2 can be set; the sleeping time on dangerous sections should be shorter, and in this case λ(A5)=0.1 can be set; avoidance sections require constant reminders when special vehicles are performing tasks, so they should not be put to sleep, and in this case λ(A6)=0 is set.

[0110] In the embodiment of the present application, the roadside intelligent station can obtain the section information of the road section under its control through radar perception, camera capture, sensor recognition, platform input, OBU upload, etc., and then classify the obtained section information according to the pre-set classification information. Since the subsequent sleep duration is determined according to the influence coefficient, the smaller the influence coefficient, the shorter the sleep duration, therefore, setting the influence coefficient corresponding to the road section with a lower safety level is smaller to better meet the actual needs.

[0111] Embodiment 2:

[0112] Figure 2 A flowchart of another information processing method of an intelligent transportation system provided in an embodiment of the present application is shown. The information processing method is applied to the same OBU as in the first embodiment above, and is described in detail as follows:

[0113] Step S21, receiving the sleep duration sent by the roadside intelligent station through the RSU.

[0114] In some embodiments, the above-mentioned sleep duration is determined according to the influence coefficient of the influencing factors, and the above-mentioned influencing factors include at least one of the following: the section type of the road section where the OBU is located, the installation distance between two adjacent roadside intelligent stations, the capability level of the above-mentioned OBU, the speed of the vehicle where the above-mentioned OBU is located, the vehicle type of the vehicle where the above-mentioned OBU is located, and the driving behavior of the driver of the vehicle where the above-mentioned OBU is located.

[0115] Specifically, after the OBU establishes a link with the RSU, the OBU may receive from the RSU the sleep duration sent by the roadside intelligent station corresponding to the RSU.

[0116] Step S22, entering a sleep state, and the duration of entering the sleep state is equal to the above sleep duration.

[0117] In the embodiment of the present application, after the OBU receives the sleep duration and enters the sleep state, the OBU continues to sleep during the sleep duration and will not be awakened by the existing wake-up mechanism, thereby preventing the OBU from being in a working state all the time or frequently entering a working state from a sleep state, thereby reducing the power consumption of the OBU and improving the endurance of the OBU. At the same time, since the OBU will not be awakened in the sleep state, the OBU will not reply to the RSU with a VST (the RSU will not send information containing the VST to the roadside intelligent station), thereby not affecting the VST replied by other devices and the access time of other devices to the RSU. In addition, since the influencing factors include at least one of the following: the type of section of the road where the OBU is located, the installation distance between two adjacent roadside intelligent stations, the capability level of the above-mentioned OBU, the speed of the vehicle where the above-mentioned OBU is located, the type of vehicle where the above-mentioned OBU is located, and the driving behavior of the driver of the vehicle where the above-mentioned OBU is located, and these influencing factors usually include data that need to generate early warning information (such as driving behavior has a very large impact on driving safety, and operations with high risk factors require real-time warnings), that is, data that needs to wake up the OBU, therefore, the sleep duration determined according to the influence coefficient of the above-mentioned influencing factors is more accurate.

[0118] In order to more clearly describe how the OBU performs sleep processing, the following Figure 3 Give a description.

[0119] Figure 3 A sleep processing schematic diagram provided by an embodiment of the present application is shown. Figure 3 In the process, after receiving the sleep instruction including the sleep duration T from the RSU, the OBU extracts the sleep duration T from the sleep instruction, responds to the sleep instruction and records the sleep duration T. After receiving the response instruction sent by the OBU through the RSU, the roadside intelligent station sends a disconnect link instruction to the RSU, and the RSU then sends the disconnect link instruction to the OBU. After receiving the disconnect link instruction, the OBU determines whether the sleep duration is greater than 0. If so, the receiving module is turned off to prevent the OBU from being awakened during the sleep process. If the sleep duration T is less than 0, it continues to monitor whether the sleep instruction is received. If the sleep duration is greater than 0, the timer is started according to the sleep duration and enters the sleep state. Among them, when the OBU enters the sleep state, it cannot process DSRC signals and data until the timer wakes up and then turns on the receiving module.

[0120] Embodiment three:

[0121] Figure 4 A schematic diagram of the structure of an intelligent transportation system provided in an embodiment of the present application is shown. For the sake of convenience of explanation, only the parts related to the embodiment of the present application are shown.

[0122] The intelligent transportation system 4 of the embodiment of the present application includes a roadside intelligent station 41, a roadside unit 42 and a vehicle-mounted unit 43;

[0123] The vehicle-mounted unit 43 supports wireless communication, and its wireless communication technology includes but is not limited to 5.8G DSRC, LTE-V, BLE and other wireless communication technologies, preferably 5.8G ETC wireless communication technology. The specific implementation process of the vehicle-mounted unit 43 is detailed in Example 2, which will not be repeated here.

[0124] Among them, the roadside unit 42 and the vehicle-mounted unit 43 complete information exchange and data forwarding, and report positioning information and other information to the roadside intelligent station 41 through wireless communication or wired communication, etc. It is preferred to use wired communication technology to improve the stability of data forwarding.

[0125] The roadside intelligent station 41 is used to integrate road information and vehicle information, complete scene recognition, message warning, service query and other services, and provide a basis for intelligent traffic. The specific implementation process of the roadside intelligent station 41 is detailed in the first embodiment, which will not be repeated here.

[0126] In some embodiments, the intelligent transportation system 4 also includes a plurality of sensing devices, including but not limited to radars, various sensors, cameras and other devices, which are used to collect road information and transmit it to the roadside intelligent station by wired or wireless means, providing a data source for the roadside intelligent station. Specifically, the sensing device for sensing road information is connected to the roadside intelligent station by wired means to transmit the road information collected by it to the roadside intelligent station. The roadside intelligent station integrates road information to detect whether an event requiring early warning has occurred. The roadside intelligent station is connected to the roadside unit via a network cable, and the scene information (such as early warning information) is transmitted to the roadside unit. The roadside unit interacts with the vehicle-mounted unit via 5.8G DSRC to achieve extended services and sleep control.

[0127] In order to more clearly describe the intelligent transportation system provided in the embodiments of the present application, a description is given below in conjunction with specific scenarios.

[0128] The roadside intelligent station knows through its deployment location or other means that the road ahead is a section with poor visibility, such as the top of a convex bridge, a hilltop, a curve, an intersection, or a ramp. At this time, it is necessary to warn the driver to ensure safe driving. Figure 5The roadside intelligent station sends the eventScen:1 road section information to the roadside unit through the F first instruction. The roadside unit establishes a link with the on-board unit through the D first instruction and the D second instruction of the 5.8G DSRC to obtain the basic information of the vehicle. The roadside unit uploads the basic information of the vehicle to the roadside intelligent station through the F second instruction. The roadside intelligent station queries whether the vehicle meets the safety certification based on the basic information of the vehicle. If it does not meet the safety certification, it will re-perform the safety certification. If the certification has been completed, the eventScen:1 warning information is sent to the roadside unit through the F third instruction. The roadside unit sends this information to the on-board unit through the D third instruction. After receiving the warning information, the on-board unit replies with the response data D fourth instruction, and warns the driver through the human-machine or Bluetooth method, prompting the road section data ahead. The road section data includes but is not limited to the distance, the length of the bad road section, and the affected lane. The roadside unit forwards the response data of the on-board unit and sends it to the roadside intelligent station through the fourth instruction F. After receiving the response, the roadside intelligent station sends the fifth instruction F to control the on-board unit to sleep, and carries the sleep time T. The roadside unit sends the sleep control instruction to the on-board unit through the fifth instruction D.

[0129] In some embodiments, the method of warning the driver includes any of the following: sound and light prompts, buzzer prompts, voice prompts, vehicle computer prompts, mobile phone vibration ringtone prompts, etc.

[0130] The difference between D and F is the different frame protocols and transmission media. The first instruction of F and the first instruction of D are link establishment request instructions. The second instruction of F and the second instruction of D are corresponding basic information response instructions of the on-board unit, which are optional processes. The third instruction of F and the third instruction of D are scene information instructions. The fourth instruction of F and the fourth instruction of D are scene response instructions. The fifth instruction of F and the fifth instruction of D are sleep control instructions. The sixth instruction of F and the sixth instruction of D are sleep response instructions. The seventh instruction of F and the seventh instruction of D are link release instructions.

[0131] Specifically, D the first instruction is BST, D the second instruction is VST, and you can choose to respond. If you do not respond, there will be no subsequent process, that is, it belongs to the broadcast scene. Its content can be referred to "GB / T 20851.2"-2019; D the third instruction is a transfer instruction that carries scene information, which includes but is not limited to the following information: scene type, message urgency, event type, section identification, lane number, starting distance, impact range, etc.; D the fourth instruction is a scene response instruction, and D the fifth instruction is a sleep control instruction. The roadside intelligent station chooses whether to send it according to the specific situation. Its definition complies with the ASN.1 rules and contains the following fields

[0132] SleepTimeIndication::=SEQUENCE{

[0133] --sceneType SceneType,

[0134] --Application scenarios

[0135] --sleepTime INT(SIZE(2)),

[0136] --Unit: seconds

[0137] …

[0138] }

[0139] D6th instruction is sleep response, and D7th instruction is Eventreport.

[0140] Embodiment 4:

[0141] Corresponding to the information processing method of the intelligent transportation system in the first embodiment above, Figure 6 The structure block diagram of the roadside intelligent station provided by the embodiment of the present application is shown as follows: Figure 6 As shown, the roadside intelligent station 6 of this embodiment includes: at least one processor 60 ( Figure 6 Only one processor is shown in the figure), a memory 61, and a computer program 62 stored in the memory 61 and executable on the at least one processor 60, wherein the processor 60 implements the steps of any of the above-mentioned method embodiments when executing the computer program 62.

[0142] The roadside intelligent station 6 may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art will appreciate that Figure 6 It is only an example of the roadside intelligent station 6 and does not constitute a limitation on the roadside intelligent station 6. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components, for example, it may also include input and output devices, network access devices, etc.

[0143] The processor 60 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0144] In some embodiments, the memory 61 may be an internal storage unit of the roadside intelligent station 6, such as a hard disk or memory of the roadside intelligent station 6. In other embodiments, the memory 61 may also be an external storage device of the roadside intelligent station 6, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the roadside intelligent station 6. Further, the memory 61 may also include both an internal storage unit and an external storage device of the roadside intelligent station 6. The memory 61 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program, etc. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0145] Embodiment five:

[0146] Corresponding to the information processing method of the intelligent transportation system in the second embodiment above, Figure 7 The structural block diagram of the vehicle-mounted unit provided in the embodiment of the present application is shown as follows: Figure 7 As shown, the vehicle-mounted unit 7 of this embodiment includes: at least one processor 70 ( Figure 7 Only one processor is shown in the figure), a memory 71, and a computer program 72 stored in the memory 71 and executable on the at least one processor 70, wherein the processor 70 implements the steps in any of the above-mentioned method embodiments when executing the computer program 72.

[0147] The vehicle-mounted unit 7 may include, but is not limited to, a processor 70 and a memory 71. Those skilled in the art will appreciate that Figure 7 It is only an example of the vehicle-mounted unit 7 and does not constitute a limitation on the vehicle-mounted unit 7. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components, for example, it may also include input and output devices, network access devices, etc.

[0148] The processor 70 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0149] In some embodiments, the memory 71 may be an internal storage unit of the vehicle-mounted unit 7, such as a hard disk or memory of the vehicle-mounted unit 7. In other embodiments, the memory 71 may also be an external storage device of the vehicle-mounted unit 7, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the vehicle-mounted unit 7. Further, the memory 71 may also include both an internal storage unit of the vehicle-mounted unit 7 and an external storage device. The memory 71 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program, etc. The memory 71 may also be used to temporarily store data that has been output or is to be output.

[0150] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0151] An embodiment of the present application also provides a network device, which includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor implements the steps in any of the above-mentioned method embodiments when executing the computer program.

[0152] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0153] An embodiment of the present application provides a computer program product. When the computer program product runs on a roadside intelligent station, the roadside intelligent station can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0154] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the camera / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0155] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0156] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0157] In the embodiments provided in the present application, it should be understood that the disclosed devices / network equipment and methods can be implemented in other ways. For example, the device / network equipment embodiments described above are merely schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0158] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0159] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. An information processing method for an intelligent transportation system, characterized in that: Applied to roadside intelligent stations, including: Get sleep duration; The sleep duration is sent to the on-board unit OBU through the roadside unit RSU, wherein the sleep duration is used to indicate that the OBU enters a sleep state, and the duration of entering the sleep state is equal to the sleep duration; The obtaining of sleep duration includes: Obtaining influencing factors of the sleep duration, the influencing factors including at least two of the following: the type of the road section where the OBU is located, the installation distance between two adjacent roadside intelligent stations, the capability level of the OBU, the speed of the vehicle where the OBU is located, the type of the vehicle where the OBU is located, and the driving behavior of the driver of the vehicle where the OBU is located, wherein the vehicle types include small cars, medium-sized cars, and special vehicles, and the influencing coefficient corresponding to the small car is the largest, and the influencing coefficient corresponding to the special vehicle is the smallest; Determining an influence coefficient of the influence factor according to the influence factor of the sleep duration; Determine the sleep duration according to the influence coefficient of the influence factor; The influence coefficient is not greater than 1 and not less than 0, and the greater the influence of the influence factor on the sleep duration, the smaller the influence coefficient corresponding to the influence factor, and the information processing method of the intelligent transportation system further includes: If the sleep duration of the OBU is obtained from an upstream roadside intelligent station or from itself, and it is judged that the influencing factor of the currently obtained sleep duration is the same as the influencing factor of the sleep duration corresponding to the obtained sleep duration of the OBU, and if it is judged that there is an influencing coefficient less than 1 among the influencing coefficients corresponding to the influencing factors of the sleep duration, then the new sleep duration of the OBU is determined according to the obtained sleep duration of the OBU, wherein the new sleep duration of the OBU is less than the obtained sleep duration of the OBU.

2. The information processing method of the intelligent transportation system according to claim 1, characterized in that: The determining of the sleep duration according to the influence coefficient of the influence factor includes: Determine the overall influence coefficient of all influencing factors according to the speed of the vehicle where the OBU is located; The sleep duration is determined according to the influence coefficient of the influence factor and the overall influence coefficient of all influence factors.

3. The information processing method of the intelligent transportation system according to claim 2, characterized in that: The overall influence coefficient of all influencing factors is determined according to the speed of the vehicle where the OBU is located, including: When the speed of the vehicle where the OBU is located is within the normal speed range, the overall influence coefficient is determined according to the speed limit value of the section where the OBU is located and the speed of the vehicle where the OBU is located; When the speed of the vehicle where the OBU is located is not within the normal speed range, the overall influence coefficient is a preset fixed value, and the preset fixed value is smaller than the overall influence coefficient obtained when the speed of the vehicle where the OBU is located is within the normal speed range.

4. The information processing method of the intelligent transportation system according to any one of claims 1 to 3, characterized in that: Before sending the sleep duration to the OBU via the roadside unit RSU, the method further includes: It is determined whether it is necessary to generate warning information according to the influencing factors, and when it is necessary to generate warning information, corresponding warning information is generated, and the generated warning information is sent to the OBU through the RSU.

5. An information processing method for an intelligent transportation system, characterized in that: Applied to on-board unit OBU, including: Receive the sleep duration sent by the roadside intelligent station through the RSU, the sleep duration is determined according to the influence coefficient of the influence factor of the sleep duration, the influence factor includes at least two of the following: the section type of the section where the OBU is located, the installation distance between two adjacent roadside intelligent stations, the capability level of the OBU, the speed of the vehicle where the OBU is located, the vehicle type of the vehicle where the OBU is located, and the driving behavior of the driver of the vehicle where the OBU is located, wherein the vehicle types include small cars, medium-sized cars and special vehicles, and the influence coefficient corresponding to the small car is the largest, and the influence coefficient corresponding to the special vehicle is the smallest; the influence coefficient is not greater than 1 and not less than 0, and The greater the influence of the influencing factor on the sleep duration, the smaller the influence coefficient corresponding to the influencing factor, and the information processing method of the intelligent transportation system also includes: if the sleep duration of the OBU is obtained from an upstream roadside intelligent station or from itself, and it is judged that the influencing factor of the currently obtained sleep duration is the same as the influencing factor of the sleep duration corresponding to the obtained sleep duration of the OBU, and if it is judged that there is an influence coefficient less than 1 among the influence coefficients corresponding to the influencing factors of the sleep duration, then the new sleep duration of the OBU is determined according to the obtained sleep duration of the OBU, wherein the new sleep duration of the OBU is less than the obtained sleep duration of the OBU; Entering a sleeping state, and the duration of entering the sleeping state is equal to the sleeping duration.

6. A roadside intelligent station, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 4 is implemented.

7. A vehicle-mounted unit, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to claim 5 is implemented.

8. An intelligent transportation system, characterized in that: The intelligent transportation system includes a roadside intelligent station, a roadside unit and a vehicle-mounted unit; The roadside intelligent station is used to execute the method according to any one of claims 1 to 4; The on-board unit is used to execute the method as claimed in claim 5.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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