Traffic information voice broadcast method and system based on LTE-V technology

Abstract

The invention relates to a traffic information voice broadcast method and system based on the LTE-V technology, and belongs to the field of intelligent traffic, and the method comprises the steps: receiving traffic event information, and calling a monitoring camera near an event point; inputting voice information by a commander, performing active noise reduction processing on the voice information, and determining whether voice speed reduction and keyword repeated enhancement processing are increased or not; performing three-layer matching on the voice information based on a spatial feature library, an event feature library and a plan library to generate a point-to-point directional voice instruction; and dynamically generating an event early warning message set through the RSU, broadcasting the event early warning message set, and carrying out anti-interference processing on the vehicle-mounted equipment. According to the invention, the event positioning and plan calling time is shortened through a three-layer matching algorithm, the traffic event handling response efficiency is improved, and the misoperation rate is reduced through a panic index triggering mechanism; and on the basis of dynamic filtering of the vehicle driving direction and distance, invalid early warning is reduced, and early warning timeliness is ensured.

Description

Technical Field

[0001] The present invention relates to the field of intelligent transportation, and in particular to a traffic information voice broadcast method and system based on LTE-V technology. Background Art

[0002] With the gradual popularization of V2X technology, V2X technology organically combines travelers (people), vehicles (cars), and road infrastructure (roads) to form an integrated vehicle-road-person traffic coordination system to ensure the driving safety of vehicles in complex traffic environments, achieve active control of road traffic safety, and improve the traffic efficiency based on intelligent road management.

[0003] Voice publishing and directional sound broadcasting are the most convenient ways to handle traffic events or emergencies on highways, which can greatly improve the efficiency of handling events. However, there are the following problems:

[0004] 1) Low event response efficiency: Traditional traffic event handling extremely relies on manual coordination, resulting in response delays;

[0005] 2) Inaccurate command instructions: Voice instructions are easily affected by environmental noise and emotions;

[0006] 3) Many warning information interferences: In-vehicle devices often receive irrelevant direction or outdated warnings. Summary of the Invention

[0007] To solve the above-mentioned problems of the prior art, the present invention provides a traffic information voice broadcast method and system based on LTE-V technology.

[0008] In the first aspect, a method for voice broadcasting traffic information based on LTE-V technology provided by the present invention includes the following steps:

[0009] Step S1. Receive traffic event information and retrieve the monitoring cameras near the incident point;

[0010] Step S2. The command personnel input voice information through a hand microphone, perform active noise reduction processing on the voice information, and calculate the panic degree index of the speaker through acoustic features, semantic features, and physiological features; when the panic degree index is greater than a preset value, the voice information is processed by increasing the speech rate reduction and keyword repetition strengthening;

[0011] Step S3. Perform three-layer matching on the voice information based on a spatial feature library, an event feature library, and a pre-plan library. The spatial feature library includes road network topology data and stake number coding rules for positioning the incident point; the event feature library contains various traffic event description templates for matching event types; the pre-plan library contains event handling pre-plans, and associates the pre-plan library according to the matching results of the spatial feature library and the event feature library to generate point-to-point directional sound instructions;

[0012] Step S4. Dynamically generate an event warning message set through the roadside unit (RSU) for broadcasting, and perform anti-interference processing on in-vehicle devices.

[0013] Further, the specific calculation of the panic degree index of the speaker through acoustic features, semantic features, and physiological features in step S2 is as follows:

[0014] PI = α·A score + β·L score + γ·S score ,

[0015] where PI represents the panic degree index, A score represents the panic score of acoustic features; L score represents the panic score of semantic features; S score represents the speculation score of physiological features; α, β, and γ respectively represent the corresponding weight coefficients.

[0016] Further, the matching of the spatial feature library is specifically as follows: By extracting the map location description in the voice information, applying regular expressions to match the standard stake number with the map location description, and calling the road network topology data to output the event longitude and latitude.

[0017] Further, the anti-interference processing specifically includes:

[0018] RSU broadcast extension: Dynamically configure the RSU devices within 3 kilometers before and after the event point for early warning;

[0019] Direction filtering: Determine whether it is in the same direction or the opposite direction according to the vehicle driving heading angle and the event direction angle;

[0020] No warning after passing: Terminate the warning when the distance between the vehicle and the event location continues to increase to the set threshold.

[0021] A traffic information voice broadcast system based on LTE-V technology, including a traffic management platform for receiving traffic event reporting information, retrieving the monitoring camera data near the event location, and generating command instructions;

[0022] A voice processing module that collects the voice of the commander through a hand microphone, performs active noise reduction and emotional intensity analysis on the audio, and triggers the processing of reducing the speech rate and repeating keywords for reinforcement when the panic degree index is greater than the preset value;

[0023] A dynamic matching module that performs three-layer matching by combining the spatial feature library, the event feature library, and the pre-plan library to generate a point-to-point directional voice command;

[0024] The communication control module dynamically publishes early warning information to in-vehicle terminals through roadside units (RSUs), and performs anti-interference processing on in-vehicle devices based on a customized protocol, including RSU broadcast extension, direction filtering, and no subsequent early warning.

[0025] Further, the voice processing module includes a hand microphone, a noise suppression unit, and an emotion analysis unit:

[0026] The hand microphone is used for a commander to input voice information;

[0027] The noise suppression unit actively reduces the noise of the voice information;

[0028] The emotion analysis unit calculates the panic degree index of the speaker through acoustic features, semantic features, and physiological features;

[0029] The optimization unit reduces the speech rate and repeats keywords of the voice with an excessive panic index for broadcast.

[0030] The beneficial effects of the present invention are as follows: The present invention shortens the event positioning and pre-plan retrieval time through a three-layer matching algorithm, improves the efficiency of traffic event handling response, and reduces the misoperation rate through a panic index trigger mechanism; based on the dynamic filtering of the vehicle driving direction and distance, it reduces ineffective early warnings and ensures the timeliness of early warnings. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 is a flowchart of the method provided by the present invention;

[0032] Figure 2 is a flowchart of accurate voice conversion. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0034] Embodiment 1: Referring to Figure 1 and Figure 2 as shown, a method for voice-broadcasting traffic information based on LTE-V technology in an embodiment of the present invention includes:

[0035] Step S1. Receive traffic event information and retrieve the surveillance cameras near the accident site;

[0036] Step S2. A commander inputs voice information through a hand microphone, performs active noise reduction processing on the voice information, and calculates the panic degree index of the speaker through acoustic features, semantic features, and physiological features;

[0037] The specific calculation method of the panic degree index is as follows:

[0038] PI = α·A score +β·L score +γ·S score ,

[0039] where PI represents the panic degree index, A score represents the panic score of acoustic features; L score represents the panic score of semantic features; S score represents the speculation score of physiological features; α, β, and γ respectively represent the corresponding weight coefficients. It can be set as α = 0.5, β = 0.3, γ = 0.2 (dynamically adjustable), and the preset value can be set as 0.7. When the panic degree index is greater than 0.7, speed reduction and keyword repetition enhancement processing are performed on the voice information;

[0040] Step S3. Perform three-layer matching on the voice information based on the spatial feature library (road network topology data and mileage coding rules), event feature library (templates for various traffic event descriptions), and plan library (event handling plans);

[0041] Primary matching: The spatial feature library performs spatial positioning matching. By extracting the map location description in the voice information, the standard mileage (such as K16+485) is matched with the map location description (such as XX service area) using regular expressions, and fuzzy matching is supported, such as "one five three seven" and "towards XX direction" being matched as "1537" and "southbound". At the same time, the road network topology data (such as subway API) is called to quickly output the event longitude and latitude coordinates.

[0042] Intermediate matching: Map the voice information to the event feature library to match traffic events.

[0043] Advanced matching: According to the content formed by the primary matching and intermediate matching, match the corresponding methods in the plan library.

[0044] Finally, generate a standard command instruction, and perform directional voice broadcast of the voice instruction point-to-point to quickly handle the on-site accident. At the same time, transmit the event warning information to the roadside equipment to form a standard message set for broadcasting to remind drivers to drive carefully.

[0045] Step S4. Dynamically generate an event warning message set for broadcasting through the roadside equipment RSU, and perform anti-interference processing on in-vehicle equipment.

[0046] The anti-interference processing specifically includes:

[0047] RSU broadcast extension: When driving at high speed on the highway, the platform information push needs to be matched to the RSUs at points 3 kilometers (dynamically configurable) before and after the event point to enable early warning;

[0048] Direction filtering: Determine whether it is in the same direction or the opposite direction based on the vehicle driving heading angle and the event direction angle; High-speed driving is divided into upward (from large mileage to small mileage) and downward (from small mileage to large mileage). The in-vehicle OBU needs to dynamically judge the driving heading angle. If it is judged that the event is in a different direction from itself, no warning is required. Specifically as follows:

[0049] Ensure that the angle is within [0, 360}, where A1 is the vehicle driving heading angle and A2 is the event direction:

[0050] A1 = A1 % 360

[0051] A2 = A2 % 360

[0052] Process angle wrapping, where De is the absolute value of the two heading angles and Md is the minimum difference:

[0053] De = |A_{1}–A_{2}|;

[0054] Md = min(De, 360 - De);

[0055] Direction determination, where Th is the threshold value, which is taken according to the actual situation, and the range is in {0, 90].

[0056] Md <= Th, in the same direction;

[0057] Md >= 180 - Th, in the opposite direction

[0058] No warning after passing: When the distance difference between the position of the in-vehicle device itself and the event position continues to increase to the set threshold value, no warning is given.

[0059] In this embodiment, a traffic information voice broadcast system based on LTE-V technology includes a traffic management platform for receiving traffic event reporting information, retrieving monitoring camera data near the accident location, and generating command instructions;

[0060] A voice processing module that collects the voice of the command personnel through a hand microphone, performs active noise reduction and emotional intensity analysis on the audio, and triggers the processing of reducing the speech rate and repeating keywords for reinforcement when the panic degree index is greater than the preset value;

[0061] A dynamic matching module that performs three-layer matching by combining a spatial feature library, an event feature library, and a pre-plan library to generate a point-to-point directional voice command;

[0062] A communication control module that dynamically publishes warning information to the in-vehicle terminal through a roadside device RSU, and performs anti-interference processing on the in-vehicle device based on a customized protocol, including RSU broadcast extension, direction filtering, and no warning after passing.

[0063] Among them, the voice processing module includes a hand microphone, a noise suppression unit, and an emotion analysis unit:

[0064] The hand microphone is used for the commander to input voice information;

[0065] The noise suppression unit actively reduces the noise of the voice information;

[0066] The emotion analysis unit calculates the panic degree index of the speaker through acoustic features, semantic features, and physiological features;

[0067] The optimization unit reduces the speech speed and repeats the keywords for the voice with an excessive panic index.

[0068] In the description of the embodiments of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "center", "top", "bottom", "top part", "bottom part", "inner", "outer", "inner side", "outer side", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus cannot be understood as a limitation to the present invention. Among them, the "inner side" refers to the internal or enclosed area or space. The "periphery" refers to the area around a specific component or a specific area.

[0069] In the description of the embodiments of the present invention, the terms "first", "second", "third", and "fourth" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first", "second", "third", and "fourth" may explicitly or implicitly include one or more of such features. In the description of the present invention, unless otherwise specified, the meaning of "a plurality" is two or more.

[0070] In the description of the embodiments of the present invention, specific features, structures, materials, or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0071] In the description of the embodiments of the present invention, the term "and / or" herein is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B may represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " herein generally represents an "or" relationship between the front and rear associated objects.

[0072] Although embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A traffic information voice broadcast method based on LTE-V technology, characterized in that, It includes the following steps: Step S1. Receive traffic event information and retrieve the surveillance cameras near the incident location. Step S2. The commander inputs voice information through a hand microphone, performs active noise reduction on the voice information, and calculates the panic level index of the speaker based on acoustic features, semantic features, and physiological features; when the panic level index is greater than the preset value, speed reduction and keyword repetition enhancement processing are added to the voice information. Step S3. Perform three-layer matching on the voice information based on the spatial feature library, event feature library, and pre-plan library. The spatial feature library includes road network topology data and stake number coding rules for locating the incident location; the event feature library contains various traffic event description templates for matching event types; the pre-plan library contains event handling pre-plans, and based on the matching results of the spatial feature library and event feature library, the pre-plan library is associated to generate a point-to-point directional voice command. Step S4. Dynamically generate an event warning message set through the roadside device RSU for broadcasting and perform anti-interference processing on in-vehicle devices.

2. The traffic information voice broadcast method based on LTE-V technology according to claim 1, wherein In step S2, calculating the panic level index of the speaker based on acoustic features, semantic features, and physiological features is specifically as follows: PI = α·A score + β·L score + γ·S score , Among them, PI represents the panic degree index, and A score represents the panic score of acoustic features; L score represents the panic score of semantic features; S score represents the speculation score of physiological features; α, β, and γ respectively represent the corresponding weight coefficients.

3. A traffic information voice broadcast method based on LTE-V technology according to claim 1, characterized in that, The matching of the spatial feature library is specifically as follows: By extracting the map location description in the voice information, applying a regular expression to match the standard stake number with the map location description, and calling the road network topology data to output the event longitude and latitude.

4. The traffic information voice broadcast method based on LTE-V technology according to claim 1, characterized in that The anti-interference processing specifically includes: RSU broadcast extension: Dynamically configure the RSU devices within 3 kilometers before and after the event point for early warning. Direction filtering: Determine whether it is in the same direction or the opposite direction based on the vehicle driving heading angle and the event direction angle. No warning after passing: Terminate the warning when the distance between the vehicle and the event location continues to increase to the set threshold.

5. A traffic information voice broadcast system based on LTE-V technology, which applies the method described in any one of claims 1-4, is characterized in that, It includes a traffic management platform for receiving traffic event reporting information, retrieving the surveillance camera data near the incident location, and generating command instructions. A voice processing module that collects the commander's voice through a hand microphone, performs active noise reduction and emotional intensity analysis on the audio, and triggers speed reduction and keyword repetition enhancement processing when the panic level index is greater than the preset value. A dynamic matching module that performs three-layer matching in combination with the spatial feature library, event feature library, and pre-plan library to generate a point-to-point directional voice command. A communication control module that dynamically publishes warning information to in-vehicle terminals through the roadside device RSU and performs anti-interference processing on in-vehicle devices based on a customized protocol, including RSU broadcast extension, direction filtering, and no warning after passing.

6. The traffic information voice broadcast system based on LTE-V technology according to claim 5, characterized in that The voice processing module includes a hand microphone, a noise suppression unit, and an emotion analysis unit: The hand microphone is used for the commander to input voice information. The noise suppression unit performs active noise reduction on the voice information. The emotion analysis unit calculates the panic level index of the speaker based on acoustic features, semantic features, and physiological features. The optimization unit reduces the speed of the voice with an excessive panic index and repeats the keywords for broadcasting.

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