Bus electronic stop board guiding system based on ultrahigh frequency RFID and guiding method thereof

Abstract

The invention relates to an ultrahigh frequency RFID-based bus electronic stop board guide system and a guide method thereof, and the method comprises the steps: firstly, deploying an ultrahigh frequency RFID radio frequency unit at a bus electronic stop board end to recognize the identity of a bus waiting passenger at a stop in a real-time and non-contact manner, and determining the individual passenger and the potential or clear bus taking demands of the passenger; the real-time bus information of a line concerned by a passenger is directly pushed to the passenger or is preferentially and highlighted on a stop board, so that the time for the passenger to acquire the required information is greatly shortened, and the accuracy and efficiency of information acquisition are improved; secondly, through real-time statistics and analysis of the number of specific waiting passengers waiting for different routes on the station, the system can dynamically adjust the display priority, frequency and duration of information of each route according to the current actual demand, so that information display is more focused on the instant demand of the passengers, the utilization efficiency of the stop board screen resource is optimized, and the user experience is improved. And the interference of invalid information is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of electronic bus stop signs, and in particular to a bus electronic bus stop sign guidance system and a bus guide method based on ultra-high frequency RFID. Background Art

[0002] In recent years, the Internet of Things (IoT), a national strategic emerging industry, has been driving the rapid development of a new generation of intelligent transportation systems. As a key infrastructure and critical component of intelligent transportation, intelligent electronic bus stops play a crucial role in building smart cities and improving the public transportation experience. To enhance public transportation information services, a large number of intelligent electronic bus stop solutions have emerged. These solutions generally integrate technologies such as GPS, Beidou positioning, wireless communications, and GIS, and are widely deployed at urban bus stops. These intelligent electronic bus stops can dynamically display information such as bus routes and vehicle locations based on real-time bus operation data, enabling intelligent dissemination of bus information. Supporting video surveillance systems also enhance bus stop safety management. Big data technology, a key strategic resource, is also increasingly penetrating the transportation sector. By deeply applying big data technologies, public transportation systems can more efficiently dispatch vehicles and more accurately predict bus arrival times based on traffic congestion at different times of the day. This provides passengers with more convenient travel information services and contributes positively to improving the overall urban transportation environment.

[0003] However, the information service model of existing smart bus stop signs still has significant limitations. Currently deployed smart bus stop signs generally use a "broadcast" information dissemination model, providing only uniform, standardized bus information to all waiting users. This information dissemination model ignores passengers' personalized information needs. This is especially true at transportation hubs or large bus stops with dense bus routes. Passengers are faced with a large amount of route information scrolling on the electronic bus stop sign, making it difficult to quickly and efficiently filter out the personalized information relevant to their travel. Passengers often need to spend a lot of time and energy navigating the complex information flow, and may even miss key information. This leads to inefficient information acquisition and a poor user experience. Moreover, when large numbers of passengers gather at the electronic bus stop sign to browse information, it can easily cause congestion and even pose safety risks. Summary of the Invention

[0004] In order to solve the above problems, the present application provides a bus electronic stop sign guidance system and a bus guidance method based on ultra-high frequency RFID, which provide personalized or dynamically adjusted bus information services on demand.

[0005] To achieve the above objectives, in a first aspect, an embodiment of the present application provides a bus electronic stop sign guidance system based on ultra-high frequency RFID, comprising a big data platform and at least one bus electronic stop sign; the bus electronic stop sign is arranged at a bus stop and comprises a stop sign communication unit, a stop sign processing unit, an information display unit, and an RFID radio frequency unit; the RFID radio frequency unit is used to identify the RFID tags held by waiting passengers within its preset identification range in real time and contactlessly, and obtain the unique identifier of the RFID tag; the big data platform is communicatively connected to the stop sign communication unit and is configured to:

[0006] Receiving a unique identifier of the RFID tag;

[0007] Processing the unique identifier of the received RFID tag in combination with pre-stored user data and real-time bus data to generate personalized bus information or dynamic priority bus information; and

[0008] Generate and send a display control instruction to the corresponding electronic bus stop sign to control its information display unit to display the personalized bus information or dynamic priority bus information, or push the personalized bus information to a user terminal associated with the unique identifier of the RFID tag.

[0009] A further solution is that the RFID radio frequency unit includes a directional antenna for focusing the predetermined range on a specific waiting area of the bus stop.

[0010] A further solution is that the big data platform generates personalized public transportation information, including:

[0011] Matching the unique identifier of the received RFID tag with a pre-stored user database, wherein the user database stores user personal information, historical ride records, common route preferences, or ride requirements set through the user terminal corresponding to the unique identifier of the RFID tag;

[0012] Based on the matching results and combined with real-time bus location and estimated arrival time data, personalized bus route information is generated for waiting passengers holding the RFID tag.

[0013] A further solution is that the big data platform generates dynamic priority bus information, including:

[0014] Based on multiple RFID tag unique identifiers received from at least one of the bus electronic bus stops within a specific time period, and in combination with user-related data or historical data, the number of waiting passengers waiting for different bus routes is counted; and according to the number of waiting passengers for each route, at least one of the display priority, display frequency or display duration of the bus information of each route on the information display unit is determined.

[0015] A further solution is that the display control instructions generated by the big data platform enable the information display unit to: when the total number of waiting passengers counted is lower than a preset threshold, give priority to displaying bus information that matches the personalized needs of the identified passengers; or

[0016] When the total number of waiting passengers counted is higher than a preset threshold, the display of different line information is adjusted according to the determined display priority, display frequency or display duration.

[0017] A further solution is that the big data platform is also used to:

[0018] Monitor and record the historical interaction data of specific RFID tags being identified at different times and on different bus electronic bus stops;

[0019] Based on the historical interaction data, a user preference model associated with the RFID tag is trained and updated using a machine learning algorithm. The model can represent the user's potential preferences for different bus routes, even if the user has not actively set them. When the RFID tag is recognized in real time, the user's most likely target bus route or routes is obtained based on the current recognition time and bus stop location information.

[0020] Based on the predicted target bus route, corresponding personalized bus information is generated.

[0021] A further solution is that the bus stop sign processing unit of the electronic bus stop sign is further used to:

[0022] When the RFID radio frequency unit does not identify any RFID tag of a waiting passenger within a preset time period, the information display unit is controlled to enter a low power consumption state or turn off the screen.

[0023] In a second aspect, an embodiment of the present application provides a method for guiding passengers on an electronic bus stop sign based on ultra-high frequency RFID, which is suitable for the electronic bus stop sign guidance system based on ultra-high frequency RFID described in any embodiment of the first aspect. The method includes the following steps:

[0024] S101. The RFID radio frequency unit installed on the bus stop electronic sign identifies the RFID tags held by waiting passengers within its preset identification range in real time and contactlessly, and obtains the unique identifier of the RFID tag. S102. The bus stop electronic sign transmits the obtained unique identifier of the RFID tag to the big data platform through its station sign communication unit.

[0025] S103. The big data platform receives unique identifiers from RFID tags sent by one or more electronic bus stop signs, analyzes the unique identifiers of the received RFID tags in combination with pre-stored user data and real-time bus data, and generates personalized or dynamically prioritized bus information.

[0026] S104. The big data platform generates a display control instruction and sends it to the corresponding electronic bus stop to control its information display unit to display the personalized or dynamic priority bus information, or push the personalized bus information to the user terminal associated with the unique identifier of the RFID tag.

[0027] The bus electronic bus stop guidance system and its guidance method based on ultra-high frequency RFID designed in this application firstly deploy an ultra-high frequency RFID radio frequency unit at the bus electronic stop end to identify the identity of passengers waiting at the platform in real time and contactlessly, determine the individual passengers and their potential or clear travel needs, and directly push to them or prioritize and highlight the real-time bus information of the routes they are interested in on the bus stop, thereby greatly shortening the time it takes for passengers to obtain the required information and improving the accuracy and efficiency of information acquisition; secondly, by real-time statistics and analysis of the specific number of waiting passengers for different routes on the platform, the system can dynamically adjust the display priority, frequency and duration of each route information according to current actual needs, so that the information display is more focused on the immediate needs of passengers, optimizes the utilization efficiency of the bus stop screen resources, reduces the interference of invalid information, and effectively solves the problems of existing bus electronic bus stop information services such as lack of pertinence, low efficiency, and inability to meet personalized needs, significantly improves the passengers' waiting experience, and enhances the intelligence level and operational efficiency of bus information services. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is a block diagram of the UHF RFID-based bus electronic stop guidance system provided in an embodiment of the present application.

[0029] Figure 2 This is a schematic diagram of the layout of the bus electronic stop guidance system based on ultra-high frequency RFID provided in an embodiment of the present application. DETAILED DESCRIPTION

[0030] The preferred embodiments of the present application are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application and are not used to limit the present application.

[0031] In the first aspect, the embodiment of the present application provides a bus electronic stop guide system based on ultra-high frequency RFID, such as Figure 2 As shown, the system includes a big data platform and at least one electronic bus stop sign.

[0032] The electronic bus stop sign is usually installed or integrated into the bus station facilities. Each electronic bus stop sign integrates the core unit that realizes its passenger guidance function, mainly including: RFID radio frequency unit, stop sign processing unit, information display unit and stop sign communication unit. In this embodiment, Figure 1 As shown, the electronic bus stop sign usually also includes some auxiliary units, such as: a power supply unit, which provides stable and compliant working power for all electronic components in the stop sign; a storage unit, which is used to locally store necessary device information, such as the unique identification number, configuration file, font library of the electronic bus stop sign itself, or to cache advertising videos, offline maps and other information; and a positioning unit, which is used to receive satellite positioning signals, accurately determine the geographical installation location of the electronic bus stop sign, and use this location information for system configuration or location-related services.

[0033] Specifically, in this embodiment, the functions and implementations of each unit are as follows:

[0034] The RFID radio frequency unit is configured to perform identity perception on passengers waiting at the platform. Specifically, ultra-high frequency (UHF) RFID technology is used, which can continuously or periodically transmit radio frequency interrogation signals within its preset effective identification area, such as the main waiting area covering the bus stop, or a certain range under the waiting shed or in front of the bus stop sign. When waiting passengers holding RFID tags that comply with a specific protocol enter the identification area, the RFID radio frequency unit can sense these tags in real time and contactlessly, and successfully read the unique identifiers stored therein, such as UID or EPC codes. In this embodiment, the RFID tag can be integrated into a variety of portable media, such as a bus card, a customized NFC / RFID bracelet, or an RFID sticker affixed to the back of a mobile phone.

[0035] In a preferred embodiment, to improve the accuracy of the recognition range, reduce interference with tags attached to unrelated people or objects outside the platform area, and enhance recognition efficiency, the RFID radio frequency unit can be integrated with or connected to a directional antenna. This directional antenna, such as a UHF RFID directional antenna, has specific radiation directionality, effectively focusing RF energy on a specific, pre-defined waiting area, thereby more accurately identifying RFID tags within the target range. The identified tag information is processed by the RFID radio frequency unit and then transmitted to the bus stop processing unit.

[0036] The station sign processing unit is typically composed of a microprocessor or embedded system. Its primary function is to coordinate the operations of the various units within the station sign, such as controlling the read and write operations of the RFID radio frequency unit and processing the unique identifier of the read RFID tag for preliminary data verification or deduplication.

[0037] The main function of the bus stop communication unit is to establish a network communication link between the bus electronic stop and the remote big data platform. It can use a 4G / 5G module, a Wi-Fi module or a wired network module to upload the unique identifier of the RFID tag obtained by the RFID radio frequency unit and possibly preliminarily processed by the bus stop processing unit to the big data platform, and receive display control instructions or other management instructions issued by the big data platform.

[0038] The information display unit is usually a liquid crystal (LCD) display, LED display or other type of electronic screen, which is used to visually display bus-related information to waiting passengers; its display content is controlled and updated by the bus stop processing unit according to the display control instructions received from the big data platform.

[0039] The big data platform is typically deployed on a remote server or in a cloud computing environment, possessing strong data processing, storage, and analysis capabilities. It maintains a communication connection with the bus stop communication unit of one or more electronic bus stops via a network. The big data platform is configured to: receive the unique identifier of an RFID tag; process the received unique identifier of the RFID tag in combination with pre-stored user data and real-time bus data to generate personalized bus information or dynamic priority bus information; and generate and send display control instructions to the corresponding electronic bus stop to control its information display unit to display personalized bus information or dynamic priority bus information, or to push personalized bus information to a user terminal associated with the unique identifier of the RFID tag.

[0040] That is, based on the personalized bus information or dynamic priority bus information generated by the above analysis, the big data platform generates corresponding display control instructions, which are accurately sent back to the electronic bus stop that triggers the identification or the bus stop that needs to adjust the display. After the bus stop receives the instruction, its information display unit displays the information according to the instruction requirements; or, if the user database stores the association between the unique identifier of the RFID tag and the user terminal (such as a smartphone bound to an APP), the big data platform can also choose to push the generated personalized bus information directly to the user's terminal through the mobile network, thereby realizing more direct personalized services.

[0041] In a specific implementation example, the big data platform generates personalized public transportation information, including:

[0042] The unique identifier of the received RFID tag is matched against a pre-stored user database containing the user's personal information, historical ride history, frequently used route preferences, or ride requests set through the user terminal. Based on the matching result and combined with real-time bus location and estimated arrival time data, personalized bus route information is generated for the waiting passenger holding the RFID tag.

[0043] For example:

[0044] Consider a passenger named Ms. Zhang, who holds an RFID bus card linked to her personal account, uniquely identified by RFID_Zhang. She has set her preferred routes to "Route 16" and "Route 88" in her associated mobile app, and she frequently rides these two routes at the Zhongshan Park stop. One afternoon, Ms. Zhang arrives at the Zhongshan Park bus stop to wait for her bus. The RFID radio frequency unit on the electronic bus stop sign recognizes RFID_Zhang and uploads this identifier to the big data platform. After receiving this identifier, the big data platform uses RFID_Zhang to query the user database, successfully matching Ms. Zhang's account and identifying her preferred routes as "Route 16" and "Route 88." The platform also queries real-time bus data to determine that the next bus approaching the Zhongshan Park stop is expected to arrive in 5 minutes for Route 16 and 12 minutes for Route 88. Subsequently, the big data platform determined that "Route 16" and "Route 88" were the routes that Ms. Zhang was most likely to be interested in, and generated a display control instruction, which was sent to the electronic bus stop sign at the "Zhongshan Park" station. This instruction, for example, requires that the arrival times "5 minutes" and "12 minutes" be highlighted or briefly displayed in a specific area of the display screen or when the information scrolls to "Route 16" and "Route 88", making them easier for Ms. Zhang to notice among the many route information. In addition, if Ms. Zhang's account is bound to a mobile phone APP and the push function is turned on, the platform can also generate a push message, such as "Hello, Ms. Zhang, the Route 16 bus you are interested in is expected to arrive at Zhongshan Park Station in 5 minutes, and the Route 88 is expected to arrive in 12 minutes", and push it to her mobile phone via the mobile network, greatly saving search time and meeting the core needs of passengers for obtaining accurate information directly related to their own travel.

[0045] In a specific implementation example, the big data platform generates dynamic priority bus information, including:

[0046] Based on multiple RFID tag unique identifiers received from at least one bus electronic bus stop within a specific time period, and in combination with user-related data or historical data, the number of waiting passengers waiting for different bus routes is counted; and according to the number of waiting passengers for each route, at least one of the display priority, display frequency or display duration of the bus information of each route on the information display unit is determined.

[0047] For example:

[0048] Consider a scenario where passenger traffic surges at the People's Square bus hub during the evening rush hour. The station is served by multiple routes, including the express bus "K1" and the regular bus "Route 32," which serve major residential areas, as well as several others. In the last three minutes, the RFID radio frequency unit on the bus stop's electronic signage has detected the unique RFID tags of 50 different waiting passengers and uploaded all of these identifiers to a big data platform. The platform then analyzes these 50 identifiers, matching them with historical ride records and frequent route preferences in its database. The platform determines that approximately 30 passengers are likely waiting for the express bus "K1," approximately 10 are likely waiting for Route 32, and the remaining 10 are waiting for other routes or are unclear about their intended destination. Therefore, the platform determines that Route K1 currently has significantly higher demand than other routes. The platform then adjusts the information display strategy, for example, shifting the originally evenly distributed display time across routes to: Route K1 information will appear approximately 50% of the time, perhaps using a larger font or a different color; Route 32 information will appear approximately 20% of the time; and other routes will appear the remaining 30% of the time, with reduced display frequency. At the same time, the big data platform generates a control command to update the display logic and sends it to the electronic bus stop sign at People's Square Station, completing the information display adjustment. Compared to rolling average information across all routes or adjusting priorities based on a static schedule, this dynamic adjustment based on real-time passenger counts is significantly more efficient and aligns with actual needs, significantly improving the electronic bus stop sign's information service capabilities during peak hours.

[0049] In some embodiments, the display control instruction generated by the big data platform causes the information display unit to:

[0050] When the total number of waiting passengers counted is below a preset threshold, bus information matching the identified passengers' personalized needs is prioritized. Alternatively, when the total number of waiting passengers counted is above a preset threshold, the display of information for different routes is adjusted based on the determined display priority, display frequency, or display duration. This allows the system to focus on personalized needs and provide attentive service when the number of passengers is small, while focusing on mainstream needs when the number of passengers is large, ensuring that the majority of people can access information efficiently.

[0051] In some embodiments, the big data platform is further used to:

[0052] Monitor and record historical interaction data of specific RFID tags being identified at different times and on different electronic bus stops. This can be achieved by: The big data platform continuously monitors and receives identification records of specific RFID tags uploaded by one or more electronic bus stops. These records constitute the user's historical interaction data, which includes at least the unique identifier of the identified RFID tag (corresponding to the user ID), the timestamp of the identification, and the location information of the electronic bus stop where the identification occurred.

[0053] Based on historical interaction data, the user preference model associated with the RFID tag is trained and updated through a machine learning algorithm. The model can characterize the user's potential preference for different bus routes, even if the user has not actively set it. In a preferred embodiment, the user preference model is based on the TensorFlow framework model and is developed using the TensorFlow Recommenders (TFRS) recommendation system development library in the TensorFlow ecosystem; the big data platform constructs a dual-tower model. Among them, one tower (Query Tower) is designed to receive and process user-side feature input, such as the unique identifier (user ID) of the RFID tag, and convert it into a fixed-dimensional user embedding (UserEmbedding) vector; the other tower (Candidate Tower) is designed to receive and process the feature input of candidate bus routes (such as route ID) and convert it into a fixed-dimensional route embedding (Route Embedding) vector. In this way, by training on a massive amount of historical user identification records and possible subsequent riding behaviors (which can be inferred based on the route a user chooses after being identified at a particular station), the Twin Towers model can learn the mapping relationship between users and bus routes in vector space, ensuring that the route embeddings corresponding to the routes a user tends to take have a high degree of similarity with the user embedding in vector space. The trained model forms a user preference model that can predict users' potential preferences.

[0054] When the RFID tag is recognized in real time, the most likely target bus route or routes for the user are obtained in combination with the current recognition time and bus stop location information. The big data platform uses the trained user preference model to make real-time predictions. Specifically, the user ID (and optionally the time, location, etc.) is input into the Query tower to calculate the real-time user embedding of the user in the current context. Then, the user embedding is similarity-calculated and sorted with the pre-calculated route embeddings of all candidate bus routes (generated by the Candidate tower) (for example, using the sorting layer provided by the TFRS library, such as the BruteForce layer, for vector similarity matching). Based on the similarity sorting results, the big data platform obtains the top-ranked bus route or routes, which are the target bus routes that the user is most likely to take at the current time and station location.

[0055] Finally, based on the predicted target bus route, corresponding personalized bus information is generated, which is particularly suitable for some aging users who lack smartphone operation experience.

[0056] In some embodiments, the bus stop processing unit of the electronic bus stop sign is further used to:

[0057] If the RFID radio unit doesn't recognize any waiting passengers within a preset time period, it controls the information display unit to enter a low-power state or turn off the screen. Automatically reducing power consumption (for example, by lowering screen brightness) or turning off the screen during idle periods can significantly reduce unnecessary power consumption, directly lowering operating costs and contributing to energy conservation and emission reduction in urban public facilities.

[0058] In a second aspect, an embodiment of the present application provides a method for guiding passengers on an electronic bus stop sign based on ultra-high frequency RFID, which is applicable to the ultra-high frequency RFID-based electronic bus stop sign guidance system of any embodiment of the first aspect, and the method comprises the following steps:

[0059] S101. The RFID radio frequency unit of the electronic bus stop sign installed at the bus stop identifies the RFID tags held by waiting passengers within its preset identification range in real time and contactlessly, and obtains the unique identifier of the RFID tag.

[0060] S102. The electronic bus stop sign sends the unique identifier of the acquired RFID tag to the big data platform through its bus stop sign communication unit.

[0061] S103. The big data platform receives the unique identifier of the RFID tag sent from one or more bus electronic stops, and analyzes the unique identifier of the received RFID tag in combination with pre-stored user data and real-time bus data to generate personalized or dynamically prioritized bus information.

[0062] S104. The big data platform generates a display control instruction and sends it to the corresponding electronic bus stop sign, controlling its information display unit to display personalized or dynamically prioritized bus information, or to push personalized bus information to a user terminal associated with the unique identifier of the RFID tag. Those skilled in the art will clearly understand that for ease and brevity of description, the specific working process of the method described above can be referred to the corresponding process in the aforementioned system embodiment and will not be repeated here.

[0063] The UHF RFID-based bus stop guidance system and its guidance method provided in the embodiments of the present application firstly deploy an UHF RFID radio frequency unit at the bus electronic stop end to identify the identity of passengers waiting at the platform in real time and contactlessly, determine the individual passengers and their potential or clear travel needs, and directly push to them or prioritize and highlight the real-time bus information of the routes they are interested in on the stop board, thereby greatly shortening the time it takes for passengers to obtain the required information and improving the accuracy and efficiency of information acquisition; secondly, by real-time statistics and analysis of the specific number of waiting passengers waiting for different routes on the platform, the system can dynamically adjust the display priority, frequency and duration of each route information according to current actual needs, so that the information display is more focused on the immediate needs of passengers, optimizes the utilization efficiency of the stop board screen resources, reduces the interference of invalid information, and effectively solves the problems of existing bus electronic stop board information services such as lack of pertinence, low efficiency, and inability to meet personalized needs, significantly improves the passengers' waiting experience, and enhances the intelligence level and operational efficiency of bus information services.

[0064] In the description of this application, it should be noted that the terms "vertical", "up", "down", "horizontal", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, they cannot be understood as limitations on this application.

[0065] It should also be noted that, in the description of this application, unless otherwise expressly specified or limited, the terms "disposed," "installed," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium; and they can refer to internal connections between two components. Those skilled in the art will understand the specific meanings of the above terms in this application based on specific circumstances.

[0066] Finally, it should be noted that the above description is merely a preferred embodiment of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art may still modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included within the scope of protection of the present application.

Claims

1. A bus electronic stop sign guidance system based on ultra-high frequency RFID, characterized in that: The system comprises a big data platform and at least one electronic bus stop sign; the electronic bus stop sign is arranged at a bus stop and comprises a stop sign communication unit, a stop sign processing unit, an information display unit and an RFID radio frequency unit; the RFID radio frequency unit is used to identify the RFID tags held by waiting passengers within its preset identification range in real time and contactlessly, and obtain the unique identifier of the RFID tag; the big data platform is in communication connection with the stop sign communication unit and is configured to: receive the unique identifier of the RFID tag; Processing the unique identifier of the received RFID tag in combination with pre-stored user data and real-time bus data to generate personalized bus information or dynamic priority bus information; as well as Generate and send a display control instruction to the corresponding electronic bus stop sign to control its information display unit to display the personalized bus information or dynamic priority bus information, or push the personalized bus information to a user terminal associated with the unique identifier of the RFID tag.

2. The UHF RFID-based bus stop electronic guidance system according to claim 1 is characterized in that: The RFID radio frequency unit includes a directional antenna for focusing the predetermined range on a specific waiting area of the bus stop.

3. The UHF RFID-based bus stop electronic guidance system according to claim 1 is characterized in that: The big data platform generates personalized public transportation information, including: Matching the unique identifier of the received RFID tag with a pre-stored user database, wherein the user database stores user personal information, historical ride records, common route preferences, or ride requirements set through the user terminal corresponding to the unique identifier of the RFID tag; Based on the matching results and combined with real-time bus location and estimated arrival time data, personalized bus route information is generated for waiting passengers holding the RFID tag.

4. The UHF RFID-based bus stop electronic guidance system according to claim 1 is characterized in that: The big data platform generates dynamic priority bus information, including: Based on multiple RFID tag unique identifiers received from at least one of the bus electronic bus stops within a specific time period, and in combination with user-related data or historical data, the number of waiting passengers waiting for different bus routes is counted; and according to the number of waiting passengers for each route, at least one of the display priority, display frequency or display duration of the bus information of each route on the information display unit is determined.

5. The UHF RFID-based bus stop electronic guidance system according to claim 4 is characterized in that: The display control instruction generated by the big data platform enables the information display unit to: When the total number of waiting passengers counted is lower than a preset threshold, bus information that matches the personalized needs of identified passengers is displayed first; or When the total number of waiting passengers counted is higher than a preset threshold, the display of different line information is adjusted according to the determined display priority, display frequency or display duration.

6. The UHF RFID-based bus stop electronic guidance system according to claim 1 is characterized in that: The big data platform is also used to: Monitor and record historical interaction data from specific RFID tags being identified at different times and on different electronic bus stop signs. Based on this historical interaction data, a machine learning algorithm is used to train and update a user preference model associated with the RFID tag. This model can characterize a user's potential preferences for different bus routes, even if the user has not actively set them. When the RFID tag is identified in real time, the user's most likely target bus route or routes is obtained based on the current identification time and bus stop location information. Based on the predicted target bus route, corresponding personalized bus information is generated.

7. The UHF RFID-based bus stop electronic guidance system according to claim 1 is characterized in that: The bus stop sign processing unit of the electronic bus stop sign is also used for: When the RFID radio frequency unit does not identify any RFID tag of a waiting passenger within a preset time period, the information display unit is controlled to enter a low power consumption state or turn off the screen.

8. A method for guiding passengers on an electronic bus stop sign based on ultra-high frequency RFID, suitable for the electronic bus stop sign guiding system based on ultra-high frequency RFID according to any one of claims 1 to 7, characterized in that: The method comprises the following steps: S101. The RFID radio frequency unit of the bus electronic sign provided at the bus stop identifies the RFID tag held by the waiting passenger within its preset identification range in real time and contactlessly, and obtains the unique identifier of the RFID tag; S102. The bus electronic stop sign sends the acquired unique identifier of the RFID tag to the big data platform through its stop sign communication unit; S103. The big data platform receives unique identifiers from RFID tags sent by one or more electronic bus stop signs, analyzes the unique identifiers of the received RFID tags in combination with pre-stored user data and real-time bus data, and generates personalized or dynamically prioritized bus information. S104. The big data platform generates a display control instruction and sends it to the corresponding electronic bus stop to control its information display unit to display the personalized or dynamic priority bus information, or push the personalized bus information to the user terminal associated with the unique identifier of the RFID tag.

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