Traffic situation recording order and traffic situation recording procedure

Abstract

The present invention relates to a traffic situation detection arrangement (100) for detecting a traffic situation, comprising: a plurality of BLE and / or UWB anchors (101) arranged along a road (102), an evaluation unit (103) connected to the BLE and / or UWB anchors (101), wherein the BLE and / or UWB anchors (101) are configured to receive data packets from digital keys (104) assigned to vehicles (105), and an analysis unit (106) configured to determine the traffic situation on the road (102) based on the received data packets of the digital keys (104). The present invention further relates to a traffic situation detection method.

Description

[0001] The present invention relates to a traffic situation detection arrangement and a traffic situation detection method.

[0002] In today's mobile and interconnected world, efficient traffic management systems are crucial for maintaining economic activity and quality of life in both urban and rural areas. The challenges of traffic situation assessment are diverse and complex, exacerbated by the ever-increasing volume of traffic in major cities. Current technological challenges include, in particular, the precision and reliability of data acquisition, the speed of data processing, data privacy, and the energy efficiency of the systems used.

[0003] Traditional traffic monitoring methods, such as camera systems, are often expensive, require frequent maintenance, and are limited in their functionality by physical and environmental constraints. Camera-based systems can also be hampered by poor visibility and raise significant privacy concerns. Furthermore, these traditional technologies often lack sufficient support for real-time analysis and prediction of traffic patterns, which is essential for dynamic traffic management and optimization.

[0004] One object of the present invention can be seen as providing an improved traffic situation detection arrangement and an improved traffic situation detection method.

[0005] This task is solved by a traffic situation detection arrangement with the features of claim 1, and by a traffic situation detection method with the features of claim 10.

[0006] According to the invention, the following is provided: A traffic situation recording order for recording a traffic situation, Comprehensive: a multitude of BLE and / or UWB anchors arranged along a road, an evaluation unit connected to the BLE and / or UWB anchors, wherein the BLE and / or UWB anchors are configured to receive data packets from digital keys assigned to vehicles, and an analysis unit configured to determine the traffic situation on the road based on the received data packets from the digital keys.

[0007] Furthermore, a traffic situation detection method is provided for recording a traffic situation, comprising the following steps: arranging a large number of BLE and / or UWB anchors along a road; receiving data packets from digital keys assigned to vehicles by the BLE and / or UWB anchors; transmitting the received data packets to an evaluation unit; analyzing the received data packets by an analysis unit in order to determine the traffic situation on the road based on this.

[0008] The traffic situation detection arrangement according to the invention is specifically designed to collect and analyze comprehensive and precise information about the traffic situation on a road. This traffic situation detection arrangement comprises several components that work together to enable detailed recording and analysis of the traffic situation.

[0009] A traffic situation refers to the totality of conditions that influence the flow of traffic on a road or in a specific traffic area. It encompasses both dynamic factors, such as the number and movement of vehicles, and static elements, such as road infrastructure, traffic regulations, and environmental conditions. Recording and analyzing these traffic situations is crucial for traffic management, as it helps to direct traffic efficiently and to identify potential problems such as congestion, accidents, or weather-related restrictions at an early stage.

[0010] Examples of traffic situations are numerous. They can include traffic jams caused by high vehicle density during rush hour. Another scenario is smooth traffic flow on a highway with few vehicles. Accidents leading to road closures or delays also represent a unique traffic situation. Similarly, roadworks can impact traffic by restricting lanes and thus disrupting the flow. Weather conditions also play a significant role. Heavy fog or black ice can drastically alter traffic situations due to reduced visibility or hazardous road conditions, leading to slower traffic or an increased risk of accidents.

[0011] The ability to capture such traffic situations in real time and relay the collected information to road users is of great importance. BLE and UWB anchors make it possible to collect data from vehicles, analyze it, and forward it to drivers, for example, via mobile devices. In this way, traffic obstructions can be detected early and alternative routes suggested to efficiently manage traffic and avoid congestion or accidents. This not only improves traffic flow but also contributes to the safety and satisfaction of road users. By using such technologies, traffic management can be optimized by continuously monitoring traffic situations and communicating them to the drivers involved in real time.

[0012] The traffic situation detection setup comprises numerous BLE and / or UWB anchors positioned along a road. These BLE and / or UWB anchors are configured to receive data packets from digital keys assigned to vehicles. The strategic placement of these BLE and / or UWB anchors along the road enables comprehensive traffic data capture, as virtually all passing vehicles within a defined area can be detected.

[0013] The placement of BLE and / or UWB anchors along a road depends heavily on the specific traffic environment and the data collection objective. On highways, BLE and / or UWB anchors could be installed at regular intervals, approximately every 500 meters, to monitor continuous traffic flow and vehicle speed. Additional BLE and / or UWB anchors could be placed at busy intersections or highway exits to more accurately monitor vehicle behavior at these junctions. In urban areas, BLE and / or UWB anchors would be installed at intersections, traffic lights, or crosswalks to analyze traffic density and potential congestion. Streetlights or traffic light poles offer suitable mounting points for installing the BLE and / or UWB anchors without requiring additional infrastructure.

[0014] On rural roads, BLE and / or UWB anchors could be positioned less frequently, for example every 1 to 2 kilometers, as traffic flow is generally less dense. However, closer placement near hazardous locations such as sharp bends or level crossings could be beneficial for accurately monitoring the traffic situation. Temporary deployments would also be conceivable at construction sites, where BLE and / or UWB anchors could be positioned at shorter intervals along the construction zone to monitor their impact on traffic and, if necessary, suggest alternative routes.

[0015] In specific infrastructure areas such as tunnels or bridges, BLE and / or UWB anchors would also be placed more densely to ensure continuous monitoring of traffic flow in these confined and often critical zones. Such areas are prone to interference, and a close-meshed arrangement of BLE and / or UWB anchors would help to accurately collect traffic data and identify potential problems early on. Overall, the flexible placement of BLE and / or UWB anchors in various traffic areas offers a comprehensive opportunity for capturing and analyzing traffic data, which in turn contributes to optimizing traffic management.

[0016] A digital key within the meaning of the present invention refers to an electronic device comprising both data and electronic components used for authentication and communication between vehicles and the traffic situation detection system. The digital key can be configured according to the specifications of the Connected Car Consortium (CCC), in particular Release 3.0, meaning that it complies with the standards for interoperability and security in vehicle communication. The term "assigned" means that the digital key is uniquely assigned to a specific vehicle or user, so that the transmitted data packets contain specific information about the vehicle or user, which can be processed by the traffic situation detection system to analyze the traffic situation on the road.

[0017] The feature "BLE and / or UWB anchor" refers to fixed electronic components positioned along a road to receive and process data from digital keys. BLE (Bluetooth Low Energy) and / or UWB (Ultra-Wideband) anchors are specifically designed to receive wireless signals over short to medium distances and capture highly accurate information such as vehicle position, speed, and identification. These BLE and / or UWB anchors communicate with the digital keys assigned to the vehicles and transmit the received data packets to a central evaluation unit. The BLE and / or UWB anchors are designed to be particularly energy-efficient and can operate in low-power mode. They can also detect and compensate for interference in the radio signals to ensure continuous and reliable data acquisition.

[0018] For further processing of this data, the traffic situation monitoring system is connected to an evaluation unit that is directly linked to the BLE and / or UWB anchors. The evaluation unit's task is to collect the data received from the BLE and / or UWB anchors and perform initial processing of this data. The evaluation unit serves as the first point of contact for the collected data, filters it, and prepares it for further analysis.

[0019] The final component of the traffic situation monitoring system is the analysis unit, which is specifically designed to analyze the data packets prepared by the evaluation unit. This analysis unit uses the information from the digital key data packets to gain detailed insights into the traffic situation. It not only records the position and movement of vehicles, but also analyzes and interprets patterns and trends in traffic flow.

[0020] The operation of this traffic situation detection system relies on the continuous reception of data packets by the BLE and / or UWB anchors from the vehicles' digital keys. This data is then forwarded to the evaluation unit, which aggregates the data and prepares it for analysis by the analysis unit. The analysis unit uses advanced analytical methods to derive useful information about the traffic situation from this data.

[0021] The feature "vehicle" refers to any means of transport that operates on roads or similar traffic routes and whose movement and position can be recorded as part of traffic situation monitoring. This includes motorized vehicles such as passenger cars, trucks, buses, and motorcycles, but also electrically powered vehicles such as electric cars or e-scooters. Furthermore, autonomously driving vehicles or vehicles with integrated digital keys that communicate according to the CCC specifications can also be considered "vehicles" within the meaning of the present invention.

[0022] The technical advantages of this traffic situation detection system include, in particular, the high precision in capturing vehicle positions and movements thanks to the use of BLE and / or UWB technologies. These BLE and / or UWB technologies offer a significant improvement over traditional detection methods such as cameras or induction loops, especially in terms of accuracy and reliability under various environmental conditions. Furthermore, the combination of evaluation and analysis equipment enables in-depth, data-driven analysis of traffic flow, facilitating improved traffic control and planning. This leads to more efficient use of the road network and can help reduce traffic congestion and environmental impact.

[0023] According to a preferred embodiment, the traffic situation detection arrangement can include BLE and / or UWB anchors that are additionally configured to measure the signal strength of the received data packets in order to determine the distance of the vehicles. This capability allows for the precise determination of the distance to the vehicles from which the data packets were sent. By measuring the signal strength, the BLE and / or UWB anchors can determine how far away a vehicle is based on the attenuation or gain of the signal they receive. This technique allows for an accurate spatial mapping of vehicles on the road, which is crucial for the analysis of traffic flows and densities. The technical advantage of this embodiment is that it enables a more detailed and accurate perception of the traffic situation, leading to improved traffic management strategies and more efficient traffic systems.

[0024] According to another preferred embodiment, the traffic situation detection arrangement can include an evaluation unit further configured to analyze data on the time intervals between received data packets in order to estimate the speed of the vehicles. This analysis makes it possible to estimate the speed of the vehicles sending these data packets. By evaluating the time intervals between each received packet, the evaluation unit can infer the speed of the vehicles. This functionality utilizes the fact that faster vehicles can transmit data at shorter intervals, while slower vehicles have longer intervals. The technical advantage of this embodiment lies in the improved ability to detect traffic flow and speeds more accurately, leading to more efficient traffic management and control strategies.

[0025] According to another preferred embodiment, the traffic situation monitoring arrangement can include an analysis unit that has a database interface for storing and retrieving historical traffic data. This database interface enables the analysis unit to collect and systematically archive large amounts of data over extended periods, allowing for a deeper and long-term analysis of traffic patterns. The functionality of this interface makes it possible to examine past traffic data to identify or predict trends, which is particularly useful for planning traffic flow optimizations and infrastructure measures. By storing data over time, changes in traffic volume and their causes can be analyzed more effectively.The technical advantage of this design lies in the improved decision-making and planning certainty for traffic management and urban planning, as the availability of long-term traffic data enables more precise analyses and more informed decisions.

[0026] According to a further preferred embodiment, the traffic situation detection arrangement can additionally include a communication device configured to transmit traffic information to a central traffic control system. This communication device enables the transmission of the detected and analyzed traffic data to a central monitoring and control center in real time or near real time. The function of the communication device is to provide a fast and efficient communication interface that allows traffic management systems to make operational decisions based on current traffic data. The continuous transmission of this data enables the optimization of traffic flows, reduction of congestion, and increased road safety.The technical advantage of this design lies in the improved coordination and control of traffic through dynamic adjustments based on precise and up-to-date data. This direct communication supports not only reactive but also proactive traffic management, thereby significantly increasing the efficiency and safety of the entire traffic system.

[0027] According to another preferred embodiment, the BLE and / or UWB anchors of the traffic situation detection arrangement can be designed to be energy-efficient and operate in low-power mode. This configuration allows the BLE and / or UWB anchors to minimize their energy consumption while still effectively receiving data from the vehicles' digital keys. The low-power mode is particularly advantageous because it extends the operating time of the BLE and / or UWB anchors without the need for frequent maintenance or battery changes. This capability is crucial for sustainable and low-maintenance traffic monitoring, especially in areas with difficult-to-access or extensive traffic networks. Technically, this mode enables continuous data monitoring and collection over extended periods without the need for a constant power supply.The technical advantage of this embodiment is that it significantly reduces the costs and logistical effort for operating the traffic situation detection system, while simultaneously improving the reliability and efficiency of traffic data acquisition.

[0028] According to another preferred embodiment, the traffic situation detection arrangement can include an analysis unit further equipped with machine learning software to recognize traffic patterns and make predictions. This software uses machine learning algorithms to identify patterns representing typical traffic scenarios from the collected data packets. Through continuous analysis and learning from historical and real-time data, the software can make increasingly accurate predictions about traffic flows. In principle, the traffic situation can be detected and determined using both analytical and statistical methods. However, the use of machine learning methods is particularly preferred because these are capable of continuously recognizing patterns based on large datasets, learning, and adapting to changing conditions.In one possible implementation, models of traffic situations can be created based on historical and / or real-time data. These models are improved through continuous updates with new data, such as vehicle positions, speeds, and environmental conditions. Supervised learning methods could be used, in which the traffic situation detection system is trained based on predefined traffic situation classes to recognize, for example, typical congestion or accident patterns. Alternatively, unsupervised learning methods can be used, which independently identify new patterns and anomalies in the traffic data without these having been predefined.This adaptive learning capability enables machine learning to determine traffic situations more precisely and predictively, as it can not only recognize current traffic situations but also forecast future developments. This capability allows the traffic situation detection system to react proactively to expected changes in traffic volume, for example, by adjusting traffic light timings or sending traffic warnings to drivers. The technical advantage of this implementation lies in its ability to improve the efficiency of traffic management by providing decision-makers with precise and predictive information, which can lead to optimized traffic flow and a reduction in congestion.

[0029] According to a further preferred embodiment, the traffic situation detection system can additionally include sensors configured to measure environmental conditions such as temperature and visibility that could influence the traffic situation. These sensors continuously collect data on the current weather and environmental conditions along the road, thereby creating a comprehensive data set that goes beyond mere vehicle movement. By integrating this environmental data, the analysis unit of the traffic situation detection system can create more accurate traffic prediction models and enable situation-appropriate responses in traffic management. For example, early warnings can be issued or traffic flows adjusted in poor visibility or extreme temperatures to increase safety and efficiency.The technical advantage of this embodiment is that it enables more accurate and responsive control of the traffic system by taking into account environmental factors that are traditionally often neglected in traffic models.

[0030] According to another preferred embodiment, the BLE and / or UWB anchors of the traffic situation detection system can be configured to filter specific identifying information from the data packets to meet privacy requirements. This capability allows the BLE and / or UWB anchors to collect only relevant traffic data while removing or anonymizing any personally identifiable information that might be contained in the data packets. This selective filtering is crucial for protecting driver privacy while still providing useful traffic data for analysis. By implementing such privacy measures, the traffic situation detection system can operate in compliance with legal data protection regulations, thereby increasing user confidence and ensuring the legal permissibility of traffic data collection.The technical advantage of this design is that it makes it possible to use detailed and precise traffic data without having to compromise on data protection, which is of particular importance in regions with strict data protection laws.

[0031] According to another preferred embodiment, the BLE and / or UWB anchors of the traffic situation detection system can be capable of receiving and processing data packets from various types of digital keys formatted according to different CCC (Connected Car Consortium) specifications. This capability allows the BLE and / or UWB anchors to support a wide range of vehicle communication technologies, thereby increasing the flexibility and compatibility of the traffic situation detection system with different vehicle models and brands. By processing data packets conforming to different specifications, the BLE and / or UWB anchors can effectively interact with a variety of vehicle systems, regardless of their specific technical standards.This technology integration enables more comprehensive and accurate traffic data collection, as no vehicles are excluded due to incompatibility issues. The technical advantage of this embodiment lies in its significant improvement of the universal applicability and effectiveness of the traffic situation detection system, enabling broader data collection and thus more accurate traffic analysis.

[0032] According to another preferred embodiment, the analysis unit of the traffic situation monitoring system can be configured to collect traffic data over extended periods to identify trends in traffic flow. This capability enables the identification of significant patterns and trends in traffic flow by analyzing historical data and comparing it with current data. Through the continuous collection and evaluation of this data, the analysis unit can detect long-term changes in traffic flow, such as seasonal fluctuations or the effects of infrastructure projects. This comprehensive data collection and analysis supports effective planning and decision-making processes for traffic management and urban planning.The technical advantage of this embodiment is that it allows deeper insights into the dynamics of traffic volume, leading to more precise predictions and more efficient traffic control strategies.

[0033] According to another preferred embodiment, the traffic situation detection arrangement can be configured to detect and compensate for interference in the BLE and / or UWB signals. This capability enables the traffic situation detection arrangement to improve the integrity and reliability of the data transmission by actively responding to interference that could impair signal quality. The traffic situation detection arrangement uses advanced algorithms to diagnose the type of interference and initiate appropriate compensation measures, such as adjusting the signal strength or using alternative transmission paths. This adaptive signal processing is crucial for maintaining accurate and continuous traffic data acquisition, especially in urban environments with high levels of signal interference from other electronic devices.The technical advantage of this design lies in increased reliability and accuracy of traffic monitoring, which in turn improves the effectiveness of traffic management and safety measures.

[0034] According to another preferred embodiment, the BLE and / or UWB anchors of the traffic situation detection system can be configured to operate in a BLE long-range mode. This mode significantly extends the range of the BLE anchors, enabling them to effectively receive data over greater distances. This is particularly advantageous in environments where there are large distances between the transmitters (vehicles) and the receivers (anchors), such as on highways or in rural areas. The use of the long-range mode enables continuous and reliable data transmission even under conditions that would be challenging for conventional BLE transmissions. The technical advantage of this embodiment lies in the improved coverage and the ability to collect traffic data over more extensive areas, which increases the overall efficiency and performance of the traffic situation detection system.

[0035] According to another preferred embodiment, the traffic situation detection method can process received data packets, which are advertising packets sent by digital keys assigned to vehicles. Advertising packets are special data packets sent by the vehicles' digital keys. These packets enable efficient communication by transmitting basic information about the vehicle and its status without requiring prior pairing or complex connection procedures. In the context of the traffic situation detection arrangement, advertising packets help to quickly and efficiently identify vehicles and track their movements. The BLE and / or UWB anchors along the road receive these packets and transmit them to an evaluation unit, where the data is collected and further processed for traffic analysis.

[0036] The regular transmission of these packets allows for precise information about the position, movement, and speed of vehicles. This is achieved by taking into account the signal strength and the intervals at which the packets are sent. Thanks to the small amount of data and the energy-efficient nature of these packets, they can be transmitted continuously without significantly burdening the resources of the vehicle or the digital keys.

[0037] Furthermore, advertising packages offer the ability to collect and analyze traffic information in real time. The received data is processed by the analysis unit, which uses it to identify traffic patterns, make predictions, and optimize traffic flow. This not only contributes to improved traffic management efficiency but also to increased road safety, as potential disruptions such as congestion or accidents can be detected early. The combination of simple data transmission, low latency, and high information content makes advertising packages an essential component of the traffic situation monitoring system.

[0038] The technical advantage of this embodiment is that it offers a minimally invasive and highly efficient method for data acquisition, which improves traffic safety and efficiency through precise and up-to-date traffic information.

[0039] According to a further preferred embodiment, the traffic situation detection arrangement is designed such that the analysis device can transmit the traffic situation determined on the basis of the received data packets to users' mobile devices, in particular to the digital keys assigned to the vehicles. This means that the analysis device not only analyzes the traffic data, but is also able to transmit relevant information such as traffic flow, congestion, or possible delays directly to the devices of drivers or other road users.

[0040] The data received, collected by the BLE and / or UWB anchors and pre-processed by the evaluation unit, contains information about the position, speed, and other movement patterns of the vehicles. This data is further analyzed in the evaluation unit to create a comprehensive picture of the current traffic situation. Once this information has been analyzed and processed, the traffic situation is forwarded to the end devices in real time.

[0041] Examples of such end devices could include smartphones, tablets, or navigation systems connected to the respective vehicles. Digital keys directly assigned to vehicles, enabling bidirectional communication, also fall into this category. These digital keys could be integrated into modern connected cars as part of the onboard electronics and directly receive traffic information to inform drivers about changes in traffic flow or to support automated driving systems. For example, a car's navigation system could suggest alternative routes based on the transmitted data if a traffic jam is detected, or issue driver warnings about dangerous road conditions.

[0042] Transmitting data to mobile devices allows road users to be informed in real time and adjust their driving decisions accordingly. This leads to more efficient traffic management and improved road safety, as drivers can react proactively to traffic disruptions. The technical advantage of this approach lies in the improved communication between vehicles and the traffic infrastructure, ultimately leading to an optimization of overall traffic flow.

[0043] The present invention will be explained in more detail below with reference to the exemplary embodiments shown in the schematic figures of the drawings.

[0044] Brief description of the drawings: Fig. Figure 1 shows a schematic block diagram of an embodiment of the traffic situation detection arrangement according to the invention. Fig. Figure 2 shows a schematic view of another embodiment of the traffic situation detection arrangement according to the invention. Fig. Figure 3 shows a schematic flowchart of an embodiment of a traffic situation detection method according to the invention. Fig. Figure 4 shows a schematic flowchart of a further embodiment of a traffic situation detection method according to the invention.

[0045] Where appropriate, the described designs and further training courses can be combined in any way desired.

[0046] Further possible embodiments, developments and implementations of the invention could also include combinations of features of the invention described previously or subsequently with regard to the exemplary embodiments that are not explicitly mentioned.

[0047] The accompanying drawings are intended to provide a further understanding of the embodiments of the invention. They illustrate embodiments and, in conjunction with the description, serve to explain the principles and concepts of the invention.

[0048] Other embodiments and many of the advantages mentioned could be seen in the drawings.

[0049] The elements in the drawings are not necessarily shown to scale. Identical reference symbols denote identical or similarly functioning components.

[0050] Fig. Figure 1 shows a schematic block diagram of an embodiment of the traffic situation detection arrangement 100 according to the invention, and Fig. Figure 2 shows a schematic view of a further embodiment of the traffic situation detection arrangement 100 according to the invention. The traffic situation detection arrangement 100 is designed to detect a traffic situation and comprises a plurality of BLE and / or UWB anchors 101 arranged along a road 102. These BLE and / or UWB anchors 101 are connected to an evaluation unit 103 and configured to receive data packets from digital keys 104 assigned to vehicles 105. Additionally, an analysis unit 106 is provided, which is configured to determine the traffic situation on the road 102 based on the received data packets from the digital keys 104.

[0051] Optionally, the traffic situation detection arrangement 100 can be configured such that the BLE and / or UWB anchors 101 additionally measure the signal strength of the received data packets to determine the distance of the vehicles 105. The evaluation unit 103 can further analyze data about the time intervals between the received data packets to estimate the speed of the vehicles 105. The analysis unit 106 can have a database interface 107 for storing and retrieving historical traffic data and could additionally include a communication unit 108 configured to send traffic information to a central traffic control system 109.

[0052] The BLE and / or UWB anchors 101 can be configured to be energy-efficient and operate in low-power mode, and the analysis device 106 could include software 110 that incorporates machine learning to recognize traffic patterns and make predictions about traffic situations. Additionally, the traffic situation detection arrangement 100 could include sensors 111 configured to measure environmental conditions such as temperature and visibility that could affect the traffic situation. These BLE and / or UWB anchors 101 can be configured to filter specific identification information from the data packets to meet privacy requirements and be capable of receiving and processing data packets from various types of digital keys 104 according to different CCC specifications.

[0053] The analysis device 106 could be further configured to collect traffic data over extended periods to identify trends in traffic development, and the traffic situation detection arrangement 100 could be configured to detect and compensate for interference in the BLE and / or UWB signals. The BLE and / or UWB anchors 101 could also operate in a BLE long-range mode. The analysis device 106 is specifically configured to transmit the traffic situation determined based on the received data packets to users' mobile devices 112, particularly to the digital keys 104, and thus back to the vehicles 105.

[0054] Fig. Figure 3 shows a schematic flowchart of an embodiment of a traffic situation detection method according to the invention, comprising four process steps S100, S200, S300, and S400. Within the framework of a traffic situation detection method, the received data packets could be advertising packets sent by digital keys 104 assigned to vehicles 105. This method would comprise the following steps: arranging the BLE and / or UWB anchors 101 along a road 102, receiving data packets from digital keys 104 by the BLE and / or UWB anchors 101, transmitting the received data packets to an evaluation unit 103, and analyzing the received data packets by an analysis unit 106 to determine the traffic situation on the road 102.

[0055] Fig.Figure 4 shows a schematic flowchart of a further embodiment of a traffic situation detection method according to the invention, comprising seven process steps S101, S201, S301, S401; S501; S601; and S701.

[0056] In the first step S101, a large number of BLE and / or UWB anchors 101 are installed along a road 102. These BLE and / or UWB anchors 101 are positioned to enable comprehensive traffic monitoring and are capable of operating in energy-efficient low-power mode. In the next step S201, the BLE and / or UWB anchors 101 receive advertising data packets sent by digital keys 104 and assigned to vehicles 105. These data packets contain specific information that is filtered by the BLE and / or UWB anchors 101 to meet data privacy requirements. In step S301, the received data is transmitted to the evaluation unit 103, which analyzes the signal strength of the received data packets to determine the distance of the vehicles 105, and uses the time intervals between the data packets to estimate the speed of the vehicles 105.In step S401, the analysis unit 106 further processes the data, supported by machine learning software 110 to recognize traffic patterns and make predictions. In the fifth step S501, the analysis unit 106 stores the data in a database interface 107 to retrieve historical traffic data and make it available for future analysis. Subsequently, in the sixth step S601, the traffic data processed by the analysis unit 106 is sent via the communication unit 108 to a central traffic control system 109. Finally, in step S701, it is ensured that the BLE and / or UWB anchors 101 can detect and compensate for interference in the received signals to guarantee continuous and accurate traffic data acquisition. Reference symbol list 100 Traffic Situation Recording Order 101 BLE and / or UWB anchors 102 Street 103 Evaluation unit 104 Digital Keys 105 vehicles 106 Analysis Unit 107 Database interface 108 Communication device 109 Central Traffic Control System 110 Software for machine learning 111 sensors 112 Terminal S100 process step S200 process step S300 process step S400 process step S101 Procedure step S201 Procedure step S301 Procedure step S401 Procedure step S501 Procedure step

Claims

[1] Traffic situation recording device (100) for recording a traffic situation, comprising: a large number of BLE and / or UWB anchors (101) arranged along a road (102), an evaluation unit (103) connected to the BLE and / or UWB anchors (101), wherein the BLE and / or UWB anchors (101) are configured to receive data packets from digital keys (104) assigned to vehicles (105), and an analysis device (106) which is trained to determine the traffic situation on the road (102) on the basis of the received data packets of the digital keys (104). [2] Traffic situation recording device (100) according to claim 1, characterized by , that the BLE and / or UWB anchors (101) are configured to measure the signal strength of the received data packets in order to determine the distance of the vehicles (105). [3] Traffic situation recording device (100) according to one of the preceding claims, characterized by , that the evaluation unit (103) is further trained to analyze data about the time intervals between the received data packets in order to estimate the speed of the vehicles (105). [4] Traffic situation recording device (100) according to one of the preceding claims, characterized by , that the analysis device (106) has a database interface (107) for storing and retrieving historical traffic data. [5] Traffic situation recording device (100) according to one of the preceding claims, characterized by , that the traffic situation detection arrangement (100) additionally includes a communication device (108) which is designed to send traffic information to a central traffic control system (109). [6] Traffic situation recording device (100) according to one of the preceding claims, characterized bythat the analysis device (106) has machine learning software (110) trained to recognize traffic patterns and make predictions. [7] Traffic situation recording device (100) according to one of the preceding claims, characterized by , that the analysis device (106) is trained to transmit the traffic situation determined on the basis of the received data packets to mobile end devices (112) of users, in particular to the digital keys (104). [8] Traffic situation recording device (100) according to one of the preceding claims, characterized by , that the traffic situation detection arrangement (100) additionally includes sensors (111) designed to measure environmental conditions such as temperature and visibility that could affect the traffic situation. [9] Traffic situation detection method according to one of the preceding claims, characterized by, that the received data packets are advertising packets sent by digital keys (104) assigned to vehicles (105). [10] Traffic situation recording procedure for recording a traffic situation, comprising the following steps: S100 Arranging a large number of BLE and / or UWB anchors (101) along a road (102); S200 Receiving data packets from digital keys (104) assigned to vehicles (105) through the BLE and / or UWB anchors (101); S300 Transmitting the received data packets to an evaluation unit (103); S400 Analyzing the received data packets by an analysis device (106) in order to determine the traffic situation on the road (102) on the basis of this.

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