A method and system for voice broadcasting traffic information based on LTE-V technology

Abstract

This invention relates to a traffic information voice broadcasting method and system based on LTE-V technology, belonging to the field of intelligent transportation. The method includes: receiving traffic incident information and retrieving surveillance cameras near the incident location; the commanding personnel inputting voice information, performing active noise reduction processing on the voice information, and determining whether to add speech rate reduction and keyword repetition enhancement processing; performing three-layer matching on the voice information based on a spatial feature library, an event feature library, and a contingency plan library to generate point-to-point directional sound commands; dynamically generating event warning message sets through roadside units (RSUs) for broadcasting, and performing anti-interference processing on vehicle-mounted equipment. This invention shortens the time for event location and contingency plan retrieval through a three-layer matching algorithm, improving the efficiency of traffic incident response; reduces the error rate through a panic index triggering mechanism; and reduces invalid warnings based on vehicle driving direction and distance, ensuring the timeliness of warnings.

Description

Technical Field

[0001] This invention relates to the field of intelligent transportation, and in particular to a method and system for voice broadcasting traffic information based on LTE-V technology. Background Technology

[0002] With the gradual popularization of V2X technology, V2X technology organically combines travelers (people), vehicles (vehicles) and road infrastructure (roads) to form an integrated traffic cooperative system of people, vehicles and roads. This system ensures the driving safety of vehicles in complex traffic environments, realizes proactive control of road traffic safety, and improves traffic efficiency based on intelligent road management.

[0003] Voice announcements and directional broadcasts are the most convenient ways to handle traffic incidents or emergencies on highways, greatly improving efficiency. However, they also have the following problems:

[0004] 1) Low incident response efficiency: Traditional traffic incident handling relies heavily on manual coordination, leading to response delays;

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

[0006] 3) Frequent interference with early warning information: Vehicle-mounted equipment often receives warnings from irrelevant directions or that are outdated. Summary of the Invention

[0007] To address the aforementioned technical problems, this invention provides a method and system for voice broadcasting traffic information based on LTE-V technology.

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

[0009] Step S1. Receive traffic incident information and retrieve surveillance camera footage near the incident location;

[0010] Step S2. The commanding personnel input voice information through a microphone, perform active noise reduction processing on the voice information, and calculate the speaker's panic level index through acoustic features, semantic features, and physiological features; when the panic level index is greater than a preset value, the voice information is processed by reducing the speech rate and reinforcing the repetition of keywords.

[0011] Step S3. Perform three-level matching on the voice information based on the spatial feature library, the event feature library, and the contingency plan library. The spatial feature library includes road network topology data and station number coding rules, which are used to locate the incident point. The event feature library contains various traffic incident description templates, which are used to match the event type. The contingency plan library contains incident handling plans, and the contingency plan library is associated with the spatial feature library and the event feature library according to the matching results of the contingency plan library to generate point-to-point directional voice instructions.

[0012] Step S4. Dynamically generate event warning message sets through the roadside unit (RSU) and broadcast them, and perform anti-interference processing on the vehicle-mounted equipment.

[0013] Furthermore, in step S2, the calculation of the speaker's panic level index using acoustic features, semantic features, and physiological features is specifically as follows:

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

[0015] Where PI represents the level of panic, A score Indicates acoustic characteristic panic score; L score S represents the semantic feature panic score; score The score represents the inferred score based on physiological characteristics; α, β, and γ represent the corresponding weighting coefficients.

[0016] Furthermore, the matching of the spatial feature library specifically involves: extracting map location descriptions from the voice information, applying regular expressions to match standard station numbers with map location descriptions, and calling road network topology data to output event latitude and longitude.

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

[0018] RSU Broadcast Extension: Dynamically configure RSU devices within a 3-kilometer radius before and after the event point for advance warning;

[0019] Direction filtering: Determines whether the direction is the same or opposite based on the vehicle's heading angle and the event's direction angle;

[0020] No further warnings: Warnings will be terminated when the distance between the vehicle and the event location continues to increase to a set threshold.

[0021] A traffic information voice broadcasting system based on LTE-V technology includes a traffic management platform for receiving traffic incident reports, retrieving data from surveillance cameras near the incident site, and generating command instructions.

[0022] The voice processing module collects the voice of the command personnel through a hand microphone, performs active noise reduction and emotional intensity analysis on the audio, and triggers speech rate reduction and keyword repetition reinforcement when the panic index is greater than the preset value.

[0023] The dynamic matching module combines spatial feature library, event feature library and contingency plan library to perform three-level matching and generate point-to-point directional sound instructions.

[0024] The communication control module dynamically broadcasts warning information to the vehicle terminal through the roadside unit (RSU) and performs anti-interference processing on the vehicle equipment based on a customized protocol, including RSU broadcast extension, direction filtering, and no warning after the event.

[0025] Furthermore, the voice processing module includes a hand microphone, a noise suppression unit, and a sentiment analysis unit:

[0026] The hand microphone is used to direct personnel to input voice information;

[0027] The noise suppression unit actively reduces noise in the speech information;

[0028] The sentiment analysis unit calculates the speaker's panic level index using acoustic, semantic, and physiological features.

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

[0030] The beneficial effects of this invention are as follows: This invention shortens the time for event location and contingency plan retrieval through a three-layer matching algorithm, thereby improving the efficiency of traffic incident response; reduces the error rate through a panic index triggering mechanism; and reduces invalid warnings by using dynamic filtering based on vehicle driving direction and distance, thus ensuring the timeliness of warnings. Attached Figure Description

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

[0032] Figure 2 Flowchart for accurate speech conversion. Detailed Implementation

[0033] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0034] Example 1: Refer to Figure 1 and Figure 2 As shown in the figure, an embodiment of the present invention provides a method for voice broadcasting traffic information based on LTE-V technology, comprising:

[0035] Step S1. Receive traffic incident information and retrieve surveillance camera footage near the incident location;

[0036] Step S2. The commanding personnel input voice information through a microphone, perform active noise reduction on the voice information, and calculate the speaker's panic level index through acoustic features, semantic features, and physiological features.

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

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

[0039] where PI represents the panic level 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 (which can be dynamically adjusted), and the preset value can be set as 0.7. When the panic level index is greater than 0.7, the speech information will be processed by reducing the speech speed and repeating keywords for enhancement;

[0040] Step S3. Perform three - layer matching on the speech 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 pre - plan library (event handling pre - plans);

[0041] Primary matching: The spatial feature library performs spatial location matching. By extracting the map location description in the speech 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 speech 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 pre - plan library.

[0044] Finally, generate standard command instructions and perform directional voice broadcast of voice instructions point - to - point to quickly handle on - site accidents. At the same time, transmit the event warning information to roadside devices 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 device RSU and perform anti - interference processing on in - vehicle devices.

[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 (which can be dynamically configured) before and after the event point to enable early warning;

[0048] Direction filtering: Determine whether the direction is the same or opposite based on the vehicle's heading angle and the event's direction angle; high-speed driving is divided into uphill (from large marker to small marker) and downhill (from small marker to large marker). The on-board unit (OBU) needs to dynamically determine the heading angle. If the event is determined to be in a different direction from the vehicle's own, no warning is needed, as detailed below:

[0049] Ensure the angle is within [0, 360], where A1 is the vehicle's heading angle and A2 is the event direction.

[0050] A1 = A1%360

[0051] A2 = A2%360

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

[0053] De = |A1–A2|;

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

[0055] Direction determination, where Th is a threshold value, which is taken according to the actual situation and ranges from {0, 90}.

[0056] Md <= Th, same direction;

[0057] Md>=180-Th, reverse direction

[0058] No warning afterward: If the distance difference between the vehicle-mounted device's own location and the event location continues to increase to a set threshold, no warning will be issued.

[0059] In this embodiment, a traffic information voice broadcasting system based on LTE-V technology includes a traffic management platform for receiving traffic incident reports, retrieving data from surveillance cameras near the incident site, and generating command instructions.

[0060] The voice processing module collects the voice of the command personnel through a hand microphone, performs active noise reduction and emotional intensity analysis on the audio, and triggers speech rate reduction and keyword repetition reinforcement when the panic index is greater than the preset value.

[0061] The dynamic matching module combines spatial feature library, event feature library and contingency plan library to perform three-level matching and generate point-to-point directional sound instructions.

[0062] The communication control module dynamically broadcasts warning information to the vehicle terminal through the roadside unit (RSU) and performs anti-interference processing on the vehicle equipment based on a customized protocol, including RSU broadcast extension, direction filtering, and no warning after the event.

[0063] The voice processing module includes a hand microphone, a noise suppression unit, and an emotion analysis unit.

[0064] The hand microphone is used to direct personnel to input voice information;

[0065] The noise suppression unit actively reduces noise in the speech information;

[0066] The sentiment analysis unit calculates the speaker's panic level index using acoustic, semantic, and physiological features.

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

[0068] In the description of the embodiments of the present invention, it should be understood that the terms "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "center," "top," "bottom," "top," "bottom," "inner," "outer," "inner side," and "outer side," etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the accompanying drawings and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention. "Inner side" refers to the interior or enclosed area or space. "Outer perimeter" refers to the area surrounding a specific component or specific area.

[0069] In the description of embodiments of the present invention, the terms "first," "second," "third," and "fourth" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first," "second," "third," or "fourth" may explicitly or implicitly include one or more of that feature. In the description of the present invention, unless otherwise stated, "a plurality of" means two or more.

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

[0071] In the description of embodiments of the present invention, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

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

Claims

1. A method for voice broadcasting traffic information based on LTE-V technology, characterized in that, Includes the following steps: Step S1. Receive traffic incident information and retrieve surveillance camera footage near the incident location; Step S2. The commanding personnel input voice information through a microphone, perform active noise reduction processing on the voice information, and calculate the speaker's panic level index through acoustic features, semantic features, and physiological features; when the panic level index is greater than a preset value, the voice information is processed by reducing the speech rate and reinforcing the repetition of keywords. Step S3. Perform three-level matching on voice information based on the spatial feature library, event feature library, and contingency plan library. The spatial feature library includes road network topology data and stationing rules for locating incident points. The event feature library contains various traffic incident description templates for matching incident types. The contingency plan library contains incident handling plans. Based on the matching results of the spatial feature library and the event feature library, the contingency plan library is associated to generate standard command instructions, including point-to-point directional sounds and early warning information that transmits incident information to roadside equipment. Step S4. Dynamically generate event warning message sets through the roadside unit (RSU) and broadcast them, and perform anti-interference processing on the vehicle-mounted equipment; The anti-interference processing specifically includes: RSU broadcast extension: dynamically configuring RSU devices within a 3-kilometer radius before and after the event point for early warning; Direction filtering: Determine whether the direction is the same or opposite based on the vehicle's heading angle and the event's direction angle; No warning afterward: Terminate the warning when the distance between the vehicle and the event location continues to increase to a set threshold.

2. The traffic information voice broadcasting method based on LTE-V technology according to claim 1, characterized in that, In step S2, the speaker's panic level index is calculated using acoustic features, semantic features, and physiological features as follows: ， Where PI represents the level of panic, A score Indicates acoustic characteristic panic score; L score S represents the semantic feature panic score; score The score represents the inferred score based on physiological characteristics; α, β, and γ represent the corresponding weighting coefficients.

3. The traffic information voice broadcasting 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 from the voice information, applying regular expressions to match the standard station number with the map location description, and calling the road network topology data to output the event latitude and longitude.

4. A traffic information voice broadcasting system based on LTE-V technology, employing the method described in any one of claims 1-3, characterized in that, This includes a traffic management platform, which receives reports of traffic incidents, retrieves data from surveillance cameras near the incident site, and generates command instructions. The voice processing module collects the voice of the command personnel through a hand microphone, performs active noise reduction and emotional intensity analysis on the audio, and triggers speech rate reduction and keyword repetition reinforcement when the panic index is greater than the preset value. The dynamic matching module combines spatial feature library, event feature library and contingency plan library to perform three-level matching and generate point-to-point directional sound instructions. The communication control module dynamically broadcasts warning information to the vehicle terminal through the roadside unit (RSU) and performs anti-interference processing on the vehicle equipment based on a customized protocol, including RSU broadcast extension, direction filtering, and no warning after the event.

5. A traffic information voice broadcasting system based on LTE-V technology according to claim 4, characterized in that, The speech processing module includes a hand microphone, a noise suppression unit, and a sentiment analysis unit: The hand microphone is used to direct personnel to input voice information; The noise suppression unit actively reduces noise in the speech information; The sentiment analysis unit calculates the speaker's panic level index using acoustic, semantic, and physiological features. The optimization unit reduces the speech rate and repeats keywords for voice messages with excessive panic index.

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