Traffic safety message online sensing method

Abstract

The invention discloses a traffic safety message online sensing method, which comprises the following steps of: constructing an identification characteristic rate parameter of a traffic safety message by virtue of a communication parameter carried by a business request packet, and establishing a business message online identification rate threshold; when the VUE receives a traffic safety service request communication message group, the identification characteristic rate value of the message is calculated online, and the message type is sensed by comparing the identification characteristic rate value with a message identification rate threshold. According to the method, service differentiation is provided for differentiated transmission of comprehensive services, so that the propagation performance of traffic safety messages and the spectrum resource efficiency are improved.

Description

Technical Field

[0001] The present invention relates to vehicle networking communication technology, and particularly to a method for identifying and differentiating traffic safety services. Background Art

[0002] In Cellular Vehicle-to-Everything (C-V2X), Vehicle-to-Vehicle (V2V) communication autonomously establishes short-distance direct communication connections by multiplexing idle licensed spectrum resources to transmit traffic safety service messages. Currently, traffic safety messages include two types: Cooperative Awareness Message (CAM) and Decentralized Environment Notification Message (DENM). CAM messages transmit information such as vehicle position, motion state, and driving speed through periodic broadcast, requiring ultra-high transmission reliability to achieve sharing of vehicle positions and motion states. DENM messages are generated along with traffic emergencies and are random, used to transmit information such as traffic accidents and road anomalies, requiring ultra-low end-to-end transmission latency to improve the vehicle's response speed to traffic anomaly events. The two types of traffic safety messages have different sensitivities to communication performance indicators. Under the premise of limited resources, a differentiated transmission mechanism for integrated services is beneficial to improving message propagation performance and resource efficiency, and message online perception is the basis for realizing differentiated transmission.

[0003] Currently, the general application of payload matching methods is used to online differentiate different types of traffic safety messages. First, the payload field features of the message packet are extracted, and then they are matched with the stored message model to identify the message type. This method has high identification accuracy but large computational latency, which is not conducive to the ultra-low latency performance requirements of DENM messages. In mechanisms such as V2V communication resource allocation for service differentiation, intelligent learning algorithm variables are generally constructed by means of message communication parameters for optimization, but this service differentiation method lacks generality. Summary of the Invention

[0004] Object of the Invention: Aiming at the above-mentioned existing technologies, an online perception method for traffic safety messages is proposed, which can quickly identify and differentiate traffic safety messages online.

[0005] Technical Solution: An online perception method for traffic safety messages includes:

[0006] Step 1: Construct an identification feature rate for traffic safety messages and establish an online identification rate threshold R for service messages th ;

[0007] Step 2: Quickly identify traffic safety messages and distinguish service types online.

[0008] Further, the specific steps of Step 1 include: In the cellular vehicle-to-everything network, when a traffic safety message in a VUE (Vehicle User Equipment) requests to establish V2V communication, the communication parameters carried in the configuration information (Profile) of the message request packet include the length L of the message packet M , the maximum tolerable delay T for end-to-end transmission of the message M , the priority index p for message packet transmission M , where p M ∈ int[1,8]; then the minimum link transmission rate R for successful message transmission M is:

[0009]

[0010] According to the minimum link transmission rate R M and the priority index p M to construct the message recognition characteristic rate R A is:

[0011] R A = p M · R M (2)

[0012] According to the interval values of the priority index p corresponding to various traffic safety services M , the interval of the message recognition characteristic rate of the i-th type of traffic safety service is where are the minimum and maximum values of the i-th type of message recognition characteristic rate respectively. The interval of the message recognition characteristic rate of the j-th type of traffic safety service is where are the minimum and maximum values of the j-th type of message recognition characteristic rate respectively, and i ≠ j.

[0013] Let the mean value of the i-th type of message recognition characteristic rate be Let the mean value of the j-th type of message recognition characteristic rate be If then establish the online recognition rate threshold R of the service message th as:

[0014]

[0015] When then there is The i-th type of message and the j-th type of message can be distinguished without error. When then there is The rate range at which the i-th type of message is misidentified as the j-th type of message is The rate range at which the j-th type of message is misidentified as the i-th type of message is When the i-th type of message and the j-th type of message in the system occur with equal probability, the maximum misidentification interval of the system is Has a minimum value.

[0016] Further, step 2 specifically includes: when the VUE receives a communication message packet for a traffic safety service request, online calculate the recognition feature rate value R of the message A ; when R A ≤R th , online identify it as the i-th type of service; when R A >R th , identify it as the j-th type of service; when the traffic safety service message feature cannot be obtained, discard the message packet.

[0017] Beneficial effects: With the evolution of in-vehicle chip technology, the VUE gradually improves its embodied intelligence ability. The online perception method for traffic safety messages of the present invention constructs a message recognition feature rate associated with service types and an online recognition rate threshold for service messages by leveraging the improved computing ability of the VUE, realizes the rapid differentiation of two types of traffic safety messages, provides a basis for service differentiation processing, and achieves the purpose of trading computing gain for spectrum efficiency gain. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is the online perception flowchart of traffic safety messages of this method. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] The following further explains the present invention with reference to the accompanying drawings.

[0020] This embodiment provides an online perception method for traffic safety messages. An in-vehicle user terminal VUE that supports cellular vehicle-to-everything (C-V2X) V2V communication is equipped on the vehicle, and the format of the traffic safety messages conforms to the standards and specifications of the 3rd Generation Partnership Project (3GPP). The specific implementation steps include:

[0021] 1. Construct the recognition feature rate of traffic safety messages and establish an online recognition rate threshold for service messages.

[0022] Currently, the traffic safety service messages of C-V2X include two types: CAM and DENM. In the 3GPP standard Release 17 specification, the CAM message packet length L CAM = 300 bytes, the maximum end-to-end tolerance delay T CAM = 20 ms, and the transmission priority index p CAM ∈int[5,8]. The DENM message packet length is LDENM = 190 bytes, the maximum end-to-end tolerable delay T DENM = 10 ms, the transmission priority index p DENM ∈ int[1, 4].

[0023] When the VUE receives a communication message for a traffic safety service request, calculate the minimum link transmission rates R of two types of traffic safety messages, CAM and DENM, according to the parameters carried in the request message packet CAM 、R DENM as follows:

[0024]

[0025] The recognition feature rates R of two types of traffic safety messages, CAM and DENM ACAM 、R ADENM are expressed as:

[0026] R ACAM = p CAM ·R CAM = 120p CAM kbps

[0027] R ADENM = p DENM ·R DENM = 152p DENM kbps

[0028] From the transmission priority index p of the CAM message CAM ∈ int[5, 8], the range of the recognition feature rate of the CAM message is calculated as R ACAM ∈ [600, 960] kbps. From the transmission priority index p of the DENM message DENM ∈ int[1, 4], the range of the recognition feature rate of the DENM message is calculated as R ADENM ∈ [152, 604] kbps.

[0029] According to the range of the recognition feature rate of the CAM message and the range of the recognition feature rate of the DENM message, obtain the mean value of the recognition feature rate of the CAM message and the mean value of the recognition feature rate of the DENM message That is Then establish the online recognition rate threshold R of the service message th as follows:

[0030]

[0031] Under the extreme boundary conditions of the 3GPP specification, the error recognition rate interval [604,600] = 4 kbps of CAM messages and DENM messages has a minimum value, which is much smaller than the upper limit of the CAM message rate and the lower limit of the DENM message. According to the central limit theorem, this error can be ignored.

[0032] 2. Online recognition and service differentiation implementation of traffic safety messages.

[0033] When the VUE receives a communication message packet for a traffic safety service request, it calculates the recognition feature rate value of the message online and records it as R A . If R A ≤R th = 600 kbps, it is recognized as a DENM message online. If R A >R th = 600 kbps, it is recognized as a CAM message. When the traffic safety service message features cannot be obtained, the message packet is discarded.

[0034] In summary, this embodiment realizes a method for selecting workshop communication service messages, constructs message recognition features matching the traffic safety service by using the differential communication parameters between different traffic safety messages, and greatly reduces the complexity of message recognition and differentiation with the help of the computing power of the VUE, providing a basis for the differential transmission of integrated services under limited spectrum resources.

[0035] The above are only the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A method for online perception of traffic safety information, characterized in that: include: Step 1: Construct the traffic safety message recognition feature rate and establish the service message online recognition rate threshold; Step 2: Quickly identify traffic safety messages and distinguish business types online.

2. The method for online perception of traffic safety information according to claim 1, characterized in that: The step 1 specifically includes: in the cellular vehicle network, when a traffic safety message in the VUE requests to establish V2V communication, the communication parameters carried in the configuration information of the message request packet include the length L of the message packet M , the maximum tolerable delay T for end-to-end message transmission M , the priority index p of the message group transmission M ; The minimum link transmission rate for successful message transmission is R M for: According to the minimum link transmission rate R M and the priority index p M Construct message identification feature rate R A for: R A =p M ·R M (2) According to the priority index p corresponding to each type of traffic safety business M The interval value of the message identification characteristic rate of the i-th type of traffic safety service is obtained as follows: The message identification characteristic rate interval of the j-th type of traffic safety service is Assume that the mean of the characteristic rate of the i-th message identification is Less than or equal to the average of the j-th message identification feature rate Right now Then establish the service message online identification rate threshold R th for: in, are the minimum and maximum values ​​of the characteristic rate of the i-th message identification, respectively. are the minimum and maximum values ​​of the characteristic rate of the j-th message identification.

3. The method for online perception of traffic safety information according to claim 2, characterized in that: when When The i-th message and the j-th message can be distinguished without error; When The rate interval of the i-th type message being misidentified as the j-th type message is The rate interval of the j-th message being misidentified as the i-th message is If the system's i-th and j-th messages appear with equal probability, the system's maximum error recognition interval is Has a minimum value.

4. The method for online perception of traffic safety information according to claim 2 or 3, characterized in that: The step 2 specifically includes: when the VUE receives a traffic safety service request communication message packet, online calculating the identification characteristic rate value R of the message A ; When R A ≤R th When R A >R th When the traffic safety service message characteristics cannot be obtained, the message packet is discarded.

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