Method for identifying red-light violation of electric bicycle based on precise positioning of Beidou
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-16
- Publication Date
- 2026-08-11
AI Technical Summary
1、依赖路面硬件设备（如视频抓拍、RFID 基站），安装成本高、覆盖范围有限，无监控覆盖区域无法实现违章识别；
1、技术路径创新：采用低成本高精度北斗导航定位模块和北斗差分信号，无需依赖路面视频、RFID基站等硬件，实现电动自行车位置的精准定位（精度优于现有定位方式），解决现有识别方法成本高、覆盖范围有限的技术痛点。
Smart Images
Figure CN122551534A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the fields of Beidou navigation application technology, intelligent traffic management technology, and electric bicycle control technology, specifically involving a method for identifying traffic violations by electric bicycles based on Beidou precise positioning. Background Technology
[0002] With the increasing popularity of electric bicycles (including shared and private electric bicycles), traffic violations such as running red lights are frequent, seriously affecting urban traffic order and travel safety. Existing methods for identifying electric bicycles running red lights have the following main shortcomings: 1. It relies on roadside hardware equipment (such as video capture and RFID base stations), which has high installation costs and limited coverage. Violation identification cannot be achieved in areas without monitoring coverage. 2. Ordinary GPS and basic Beidou positioning are not accurate enough to accurately determine whether an electric bicycle is in a traffic light control area, which is prone to misjudgment and omission. 3. It can only identify violations, but lacks real-time alerts, rider management, and optimization of management measures, resulting in limited effectiveness in managing violations; 4. Currently, Beidou navigation is mostly used for electronic fences in the electric bicycle field, and it is not linked with traffic light information, so it cannot specifically solve the problem of running red lights. Summary of the Invention
[0003] The main objective of this invention is to provide a method for identifying traffic violations by electric bicycles at traffic lights based on BeiDou precise positioning. By using BeiDou high-precision positioning, traffic light information linkage, and two-way interaction between the vehicle and the platform, it can achieve accurate identification of electric bicycles running red lights, real-time alerts, platform control, and big data optimization, thereby reducing the violation rate. It is suitable for the large-scale management and control needs of urban electric bicycles, and is low in cost and has a wide coverage.
[0004] To achieve the above objectives, this invention provides a method for identifying traffic violations by electric bicycles at traffic lights based on BeiDou precise positioning, comprising the following steps: Step S1: Equipment installation and signal access: The Beidou navigation and positioning module is fixedly installed on the electric bicycle and connected to the Beidou high-precision positioning differential signal; the Beidou navigation and positioning module is electrically connected to the electric bicycle's on-board controller and alarm device to realize signal transmission and command execution; Step S2: Traffic light information access and storage: The electric bicycle service management platform accesses the traffic light information of the target area, establishes a real-time updated traffic light information database, and associates it with the geographical coordinates of the corresponding area; Step S3: Real-time information push: When the electric bicycle is running, the Beidou navigation and positioning module uploads the location and speed in real time. The platform retrieves the traffic light information database based on the real-time location and pushes the real-time status of the matching traffic light ahead to the vehicle controller. Step S4: Violation Determination: The on-board controller combines the current location and direction of travel of the electric bicycle to automatically determine whether it is in a red light waiting period, and issues different levels of alarms according to different situations; Step S5: Big Data Analysis and Optimization: Based on big data analysis of traffic violations, the platform optimizes the timing of push notifications, alarm methods, and control strategies, and works with traffic management departments to optimize traffic light timings.
[0005] As a further preferred technical solution to the above technical solution, for step S2, the electric bicycle service management platform connects to databases including Gaode Map, Baidu Map, and local traffic management departments through interfaces to batch access all traffic light information in the target area. The traffic light information includes, but is not limited to: traffic light location coordinates, light change time, red light duration, green light duration, and yellow light duration. The platform classifies, organizes, and updates the accessed traffic light information in real time, establishes a traffic light information database, and associates it with the geographical coordinates of the corresponding area to achieve accurate matching between location and traffic light information.
[0006] As a further preferred technical solution to the above technical solution, in step S3, during the operation of the electric bicycle, the on-board Beidou navigation and positioning module collects the location coordinates and speed information of the electric bicycle in real time and transmits them to the electric bicycle service management platform via wireless communication; the platform searches the traffic light information database according to the real-time location coordinates of the electric bicycle, matches the nearest traffic light in front of the electric bicycle, and pushes the real-time status of the traffic light to the on-board controller of the electric bicycle in real time.
[0007] As a further preferred technical solution to the above technical solution, for step S4, the determination criterion is: the electric bicycle is located in the traffic light control area, and the current traffic light is red; different levels of alarms are issued according to different situations. (1) Level 1 alarm reminder: If it is determined to be a red light waiting period, the vehicle controller will immediately trigger the alarm device to issue a reminder, which will continue until the red light ends or the electric bicycle stops moving; (2) Level 2 alarm and platform reporting: If a rider forcibly runs a red light during the red light waiting period, the vehicle controller will trigger a level 2 alarm and immediately upload the violation information to the electric bicycle service management platform via wireless communication. After receiving the violation information, the platform will automatically record and archive it, and manage the rider according to the preset rules, including but not limited to: sending warning text messages, deducting riding points, restricting riding privileges, and imposing fines.
[0008] As a further preferred technical solution to the above technical solution, in step S5, the electric bicycle service management platform summarizes and statistically analyzes all violation data uploaded by electric bicycles, including but not limited to: high-incidence road sections, high-incidence time periods, and characteristics of riders who frequently commit violations; based on the analysis results, it formulates targeted optimization measures, including but not limited to: optimizing the timing of traffic light information push, adjusting the alarm reminder method, increasing the reminder frequency in high-incidence road sections, and working with traffic management departments to optimize traffic light timing, thereby reducing illegal riding behavior.
[0009] The beneficial effects of this invention are as follows: 1. Technological Path Innovation: By adopting low-cost, high-precision Beidou navigation and positioning modules and Beidou differential signals, it can achieve accurate positioning of electric bicycles without relying on hardware such as road video and RFID base stations (with accuracy superior to existing positioning methods), thus solving the technical pain points of high cost and limited coverage of existing identification methods.
[0010] 2. Functional Closed-Loop Innovation: Constructing a closed-loop process encompassing location tracking, information push, violation determination, tiered alerts, platform control, and big data optimization. This not only enables accurate identification and alerts for red-light running but also optimizes control measures through platform big data analysis, forming a virtuous cycle of identification, control, and optimization. Existing patents have not achieved this closed-loop function.
[0011] 3. Scenario Adaptation Innovation: Optimize the cost and power consumption of the Beidou positioning module for electric bicycle riding scenarios, adapt to the miniaturized installation requirements of electric bicycles, and realize real-time linkage push of traffic light information to solve the problem of electric bicycle riders running red lights due to obstructed vision and lack of concentration, adapting to the large-scale application of urban electric bicycles (shared / private). Attached Figure Description
[0012] Figure 1 This is a schematic diagram of the method flow of the present invention.
[0013] Figure 2 This is a schematic diagram of the electric bicycle on-board terminal structure of the present invention.
[0014] Figure 3 This is a schematic diagram of the electric bicycle service management platform of the present invention.
[0015] Figure 4 This is a flowchart of an embodiment of the present invention. Detailed Implementation
[0016] The following description is intended to disclose the present invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art. The basic principles of the invention defined in the following description can be applied to other embodiments, modifications, improvements, equivalents, and other technical solutions that do not depart from the spirit and scope of the invention.
[0017] In the preferred embodiments of the present invention, those skilled in the art should note that the BeiDou system and other technologies involved in the present invention can be considered as prior art.
[0018] Preferred embodiment.
[0019] like Figure 1-4 As shown, this invention discloses a method for identifying traffic violations by electric bicycles at traffic lights based on BeiDou precise positioning, comprising the following steps: Step S1: Equipment Installation and Signal Access: Fix a (low-cost, high-precision) Beidou navigation and positioning module on the electric bicycle and connect it to a Beidou high-precision positioning differential signal (such as Qianxun location differential signal, used to obtain real-time accurate location information of the electric bicycle, with a positioning accuracy of ≤1 meter, meeting the accurate determination requirements of traffic light control areas; the module is small in size and can be installed on the handlebars, body, etc. of the electric bicycle without occupying too much space); the Beidou navigation and positioning module is electrically connected to the electric bicycle's on-board controller and alarm device (voice speaker, LED warning light) to realize signal transmission and command execution; Step S2: Traffic light information access and storage: The electric bicycle service management platform accesses the traffic light information of the target area, establishes a real-time updated traffic light information database, and associates it with the geographical coordinates of the corresponding area; Step S3: Real-time information push: When the electric bicycle is running, the Beidou navigation and positioning module uploads the location and speed in real time. The platform retrieves the traffic light information database based on the real-time location and pushes the real-time status of the matching traffic light ahead to the vehicle controller. Step S4: Violation determination: The on-board controller (after receiving the real-time status of the traffic lights ahead pushed by the platform) combines the current location and direction of travel of the electric bicycle to automatically determine whether it is in a red light waiting period, and issues different levels of alarms according to different situations; Step S5: Big Data Analysis and Optimization: Based on big data analysis of traffic violations, the platform optimizes the timing of push notifications, alarm methods, and control strategies, and works with traffic management departments to optimize traffic light timings.
[0020] Specifically, for step S2, the electric bicycle service management platform connects to databases including Gaode Maps, Baidu Maps, and local traffic management departments via interfaces (the platform's interfaces with Gaode, Baidu, or traffic management departments use a real-time synchronization mechanism, updating information every second to ensure that the update delay of traffic light information is ≤1 second, avoiding misjudgments due to information lag; for cases where traffic management departments temporarily adjust traffic light timings, the platform supports manual updates to ensure information accuracy), and batches in all traffic light information of the target area (preferably a single city). The traffic light information includes, but is not limited to: traffic light location coordinates, light change time, red light duration, green light duration, and yellow light duration. The platform categorizes, organizes, and updates the inbound traffic light information in real time, establishes a traffic light information database, and associates it with the geographical coordinates of the corresponding area to achieve accurate matching between location and traffic light information.
[0021] More specifically, for step S3, during the operation of the electric bicycle, the onboard Beidou navigation and positioning module collects the electric bicycle's location coordinates (e.g., 31°14′N, 121°29′E) and speed information in real time, and transmits it to the electric bicycle service management platform via wireless communication (e.g., 4G / 5G). Based on the electric bicycle's real-time location coordinates, the platform searches the traffic light information database and matches the nearest traffic light in front of the electric bicycle (prioritizing traffic lights within 50 meters directly in front of the direction of travel; this can be adjusted according to the road width and traffic light layout of different cities to adapt to different application scenarios). The platform then pushes the real-time status of this traffic light (current light color, remaining time) to the electric bicycle's onboard controller in real time (e.g., if a traffic light is matched 30 meters in front of the electric bicycle, and the light is currently red with 15 seconds remaining, the platform immediately pushes this information to the onboard controller).
[0022] Furthermore, for step S4, the judgment criteria are: the electric bicycle is located within the traffic light control area (within a 30-meter radius centered on the traffic light location coordinates; this can be adjusted according to the road width and traffic light layout of different cities to adapt to different application scenarios), and the current traffic light status is red; different levels of alarms are issued according to different situations. (1) Level 1 alarm reminder: If it is determined to be a red light waiting period, the vehicle controller will immediately trigger the alarm device (such as voice alarm, light alarm) and issue a (gentle) reminder (such as "Red light ahead, please stop and wait"), and continue to remind until the red light ends or the electric bicycle stops moving (the determination of running a red light must meet the three conditions of "red light status", "electric bicycle is in the control area" and "electric bicycle is moving" at the same time to avoid misjudgment (such as if the electric bicycle is stationary and waiting at a red light, it will not be judged as a violation)). (2) Level 2 Alarm and Platform Reporting: If a rider forcibly runs a red light during the red light waiting period (i.e., the electric bicycle continues to travel while the light is red and the position exceeds the stop line), the on-board controller triggers a (more severe) Level 2 alarm (such as high-frequency voice reminders and increased light flashing frequency), and immediately uploads the violation information (including the electric bicycle's location, the time of running the red light, and the rider's identity information (if bound)) to the electric bicycle service management platform via wireless communication; after receiving the violation information, the platform automatically records and archives it, and manages the rider according to preset rules, including but not limited to: sending warning text messages, deducting riding points, restricting riding permissions, and imposing fines (for shared electric bicycle riders), such as sending a warning text message to the rider and deducting 5 riding points; if the rider runs a red light 3 times, the platform will restrict him from riding shared electric bicycles for 7 days; at the same time, the platform will archive the violation information for subsequent big data analysis.
[0023] Furthermore, in step S5, the electric bicycle service management platform aggregates and statistically analyzes all violation data uploaded by electric bicycles, including but not limited to: high-incidence road sections, high-incidence time periods, and characteristics of frequent violators. Based on the analysis results, targeted optimization measures are formulated, including but not limited to: optimizing the timing of traffic light information push notifications, adjusting alarm reminder methods, increasing the reminder frequency in high-incidence road sections, and collaborating with traffic management departments to optimize traffic light timings, thereby reducing violating riding behaviors. For example, the platform aggregates all violation data monthly and analyzes to find that the high-incidence road section for running red lights in the city is XX intersection, and the high-incidence time periods are morning and evening rush hours (7:00-9:00 and 17:00-19:00). In response, the platform adjusts the timing of traffic light information push notifications for high-incidence road sections (pushing 5 seconds in advance) and increases the alarm volume. At the same time, the analysis results are fed back to the traffic management department, suggesting optimization of traffic light timings for that road section to reduce violations.
[0024] Preferably, such as Figure 3 As shown, the electric bicycle service management platform includes: The data storage module is used for storing location, violation, and traffic light data. The information processing module is used for location analysis and traffic light matching; The real-time push module is used to push notifications for light status and alarm commands; The violation control module is used for recording, warning, deducting points, and restricting riding. The big data analytics module is used for analyzing high-incidence points, time periods, and trends. The interface module is used for differential docking between traffic light sources and BeiDou navigation systems.
[0025] It is worth mentioning that the BeiDou and other technical features involved in this patent application should be regarded as prior art. The specific structure, working principle, and possible control methods and spatial arrangement of these technical features can be adopted using conventional choices in the field, and should not be regarded as the inventive point of this patent. This patent will not be further elaborated in detail.
[0026] For those skilled in the art, modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this invention should be included within the protection scope of this invention.
Claims
1. A method for identifying red-light violations of electric bicycles based on Beidou precise positioning, characterized in that, Includes the following steps: Step S1: Equipment installation and signal access: Fix the Beidou navigation and positioning module on the electric bicycle and connect it to the Beidou high-precision positioning differential signal; The Beidou navigation and positioning module is electrically connected to the on-board controller and alarm device of the electric bicycle to realize signal transmission and command execution; Step S2: Traffic light information access and storage: The electric bicycle service management platform accesses the traffic light information of the target area, establishes a real-time updated traffic light information database, and associates it with the geographical coordinates of the corresponding area; Step S3: Real-time information push: When the electric bicycle is running, the Beidou navigation and positioning module uploads the location and speed in real time. The platform retrieves the traffic light information database based on the real-time location and pushes the real-time status of the matching traffic light ahead to the vehicle controller. Step S4: Violation Determination: The on-board controller combines the current location and direction of travel of the electric bicycle to automatically determine whether it is in a red light waiting period, and issues different levels of alarms according to different situations; Step S5: Big Data Analysis and Optimization: Based on big data analysis of traffic violations, the platform optimizes the timing of push notifications, alarm methods, and control strategies, and works with traffic management departments to optimize traffic light timings.
2. The method according to claim 1, wherein, For step S2, the electric bicycle service management platform connects to databases including Gaode Maps, Baidu Maps, and local traffic management departments through interfaces to batch access all traffic light information in the target area. The traffic light information includes, but is not limited to: traffic light location coordinates, light change time, red light duration, green light duration, and yellow light duration. The platform categorizes and organizes the accessed traffic light information, updates it in real time, establishes a traffic light information database, and associates it with the geographical coordinates of the corresponding area to achieve accurate matching between location and traffic light information.
3. The method according to claim 2, wherein, For step S3, during the operation of the electric bicycle, the on-board Beidou navigation and positioning module collects the electric bicycle's location coordinates and speed information in real time and transmits them to the electric bicycle service management platform via wireless communication. The platform searches the traffic light information database based on the real-time location coordinates of the electric bicycle, matches the nearest traffic light in front of the electric bicycle, and pushes the real-time status of the traffic light to the electric bicycle's onboard controller.
4. The method according to claim 3, wherein, For step S4, the judgment criteria are: the electric bicycle is located within the traffic light control area, and the current traffic light is red. Different levels of alarms are issued according to different situations: (1) Level 1 alarm reminder: If it is determined to be a red light waiting period, the vehicle controller will immediately trigger the alarm device to issue a reminder, which will continue until the red light ends or the electric bicycle stops moving; (2) Level 2 alarm and platform reporting: If a rider forcibly runs a red light during the red light waiting period, the vehicle controller will trigger a level 2 alarm and immediately upload the violation information to the electric bicycle service management platform via wireless communication. After receiving violation information, the platform automatically records and archives it, and manages cyclists according to preset rules, including but not limited to: sending warning text messages, deducting cycling points, restricting cycling privileges, and imposing fines.
5. The method according to claim 4, wherein, For step S5, the electric bicycle service management platform summarizes and statistically analyzes all violation data uploaded by electric bicycles, including but not limited to: high-incidence road sections, high-incidence time periods, and characteristics of riders who frequently commit violations; based on the analysis results, it formulates targeted optimization measures, including but not limited to: optimizing the timing of traffic light information push, adjusting the alarm reminder method, increasing the reminder frequency in high-incidence road sections, and working with traffic management departments to optimize traffic light timing, thereby reducing illegal riding behavior.