Intelligent traffic guidance system based on Internet of Things
By using an IoT-based intelligent traffic guidance system, real-time monitoring and dynamic guidance of road conditions in foggy areas are achieved, solving the problem of insufficient information in traditional systems under adverse weather conditions and realizing more efficient traffic safety and smoothness.
Patent Information
- Application Number
- CN202520176930.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-31
- Publication Date
- 2026-01-06
- Estimated Expiration
- 2035-01-31
AI Technical Summary
Traditional traffic guidance systems cannot provide drivers with timely and accurate information in adverse weather conditions such as fog, leading to frequent traffic accidents and affecting traffic safety and flow.
The system employs an IoT-based intelligent traffic guidance system, which combines microwave antennas, visibility sensors, guidance lights, and pyroelectric sensors to monitor road conditions in real time. It provides safety guidance to drivers through voice and photoelectric signals and performs dynamic traffic control by combining meteorological data.
It improves road traffic safety and efficiency in low visibility conditions such as fog, reduces the accident rate, and ensures the safety of drivers and passengers.
Smart Images
Figure CN223770711U_ABST
Abstract
Description
Technical Field
[0001] This utility model belongs to the field of traffic safety technology, and in particular relates to an intelligent traffic guidance system based on the Internet of Things. Background Technology
[0002] In the transportation sector, severe weather conditions such as fog reduce road visibility, increasing the risk of traffic accidents and severely impacting traffic safety and flow. Traditional traffic guidance methods often fail to provide drivers with timely and accurate information and guidance in such complex weather conditions, making it difficult for drivers to make correct driving decisions. Therefore, there is an urgent need for an intelligent traffic guidance system capable of monitoring road conditions in real time, especially in special environments such as foggy areas, to provide drivers with accurate road condition information and safety guidance, thereby ensuring road traffic safety and improving traffic efficiency. Utility Model Content
[0003] The purpose of this invention is to overcome the above-mentioned defects and propose an intelligent traffic guidance system based on the Internet of Things. This system addresses the problem that serious traffic accidents are prone to occur at interchanges / service area merging points, diverging points, long slopes, tunnel entrances, and other road sections in low visibility weather conditions such as fog, rain, and snow. It enables real-time monitoring and precise guidance of traffic conditions in foggy areas.
[0004] The specific technical solution is as follows:
[0005] The Internet of Things-based intelligent traffic guidance system includes a control unit, a visibility sensor, and a fog safety guidance unit.
[0006] The control unit includes a microwave antenna, a variable message sign, and a control center, which are set 100-200 meters ahead of the fog safety guidance section. The control center sends voice information to the vehicle's on-board electronic tag through the microwave antenna.
[0007] A visibility sensor is installed in front of the safety guidance section in the fog area to acquire visibility data;
[0008] The fog safety guidance unit includes guidance lights and an external guidance light controller. The guidance lights are equipped with microwave radar sensors and pyroelectric sensors. The guidance lights are installed in the median strip and on the roadside at a longitudinal spacing of 24 meters. The external guidance light controller uses wireless communication to control the guidance lights. The guidance lights at the front and rear of the fog safety guidance section detect the number and speed of passing vehicles through microwave radar sensors and send the data to the control center. The guidance lights also use pyroelectric sensors to detect whether there are people near the guidance lights and send the results to the control center. The control center summarizes the data sent by the guidance lights and sends voice information to the on-board electronic tags of passing vehicles through a microwave antenna.
[0009] Furthermore, the above scheme includes three pyroelectric sensors, which are respectively installed on the left and right sides and the front of the guide light facing the road.
[0010] Furthermore, in the above scheme, the pyroelectric sensor sends the result to the control center after continuous triggering for 3 seconds.
[0011] Furthermore, the above scheme includes yellow, green, and red light groups inside the guide lights; the field guide light controller is connected to a low visibility detection unit through a control center and adjusts the light emission parameters of the guide lights according to the low visibility detection unit; the field guide light controller is connected to a microwave radar sensor and adjusts the flashing frequency of the guide lights according to the microwave radar sensor.
[0012] Furthermore, in the above scheme, the outdoor guidance light controller is connected to the control center via Ethernet or a 4G mobile network.
[0013] Furthermore, the above scheme includes a red and blue flashing light for accident warning, which is controlled and triggered by a microwave radar sensor and a pyroelectric sensor.
[0014] Furthermore, in the above scheme, the control center is connected to a third-party meteorological system to obtain weather data for the fog safety guidance section.
[0015] Compared with existing technologies, the beneficial effects of this utility model are as follows:
[0016] 1. This utility model system uses sound, light, and electrical alarms to dynamically detect, warn, and control road traffic, enhancing the reliability of safe driving at intersections, merging points, tunnel entrances, and other road sections. It also integrates full-section road monitoring video for visibility analysis and guidance, improving road perception and control capabilities for highway driving in foggy weather, reducing primary accidents and preventing secondary accidents, increasing road traffic efficiency, and fully protecting the lives and property of drivers and passengers. This utility model can be applied to highways, national roads, provincial roads, county roads, and township roads. Attached Figure Description
[0017] Figure 1 This is a functional block diagram of the system of this utility model;
[0018] Figure 2 This is a functional block diagram of the guide light of this utility model. Detailed Implementation
[0019] The embodiments of the utility model are further described in detail below with reference to the accompanying drawings, so that the purpose, technical solution and technical effect of the utility model can be more clearly presented.
[0020] In the description of this utility model, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the accompanying drawings and are only for the convenience of describing this utility model and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this utility model. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.
[0021] like Figure 1-2 As shown, this utility model discloses an intelligent traffic guidance system based on the Internet of Things, including a control unit, a visibility sensor, and a fog safety guidance unit.
[0022] The control unit includes a microwave antenna positioned 100-200 meters ahead of the fog safety guidance section, a variable message sign, and a control center. The control center transmits voice information to the vehicle's onboard electronic tag via the microwave antenna. The microwave antenna can be an ETC gantry or a gantry structure for easy information transmission. A visibility sensor is positioned ahead of the fog safety guidance section to acquire visibility data.
[0023] The fog safety guidance unit includes guide lights and an external guide light controller. The guide lights are equipped with microwave radar sensors and pyroelectric sensors. They are installed in the median strip and along the roadside at 24-meter intervals. The external guide light controller uses wireless communication to control the guide lights. The guide lights at the very front and rear of the fog safety guidance section use microwave radar sensors to detect the number and speed of passing vehicles and transmit this information to the control center. The guide lights also use pyroelectric sensors to detect the presence of people nearby and transmit this information to the control center. The control center aggregates the data transmitted by the guide lights and sends voice messages to the onboard electronic tags of passing vehicles via a microwave antenna.
[0024] To more comprehensively detect the presence of people near the guide lights and obtain information on people from different directions, three pyroelectric sensors are installed, one on each of the left and right sides and the other in front of the guide lights facing the road. This allows for monitoring of the presence of people from multiple angles, improving the accuracy and comprehensiveness of personnel detection and enabling the timely identification of potential safety hazards. The detection of people typically occurs when people have been evacuated from an accident to the roadside, when vehicles are stopped due to evacuation breakdowns, or when other individuals have intruded. Regardless of the situation, following vehicles need to be cautious, especially in low visibility conditions where these situations are particularly dangerous. Therefore, pyroelectric sensors can solve these problems, and the information is transmitted to following vehicles via a control center and microwave antenna.
[0025] To avoid false alarms from the pyroelectric sensor due to brief interference signals and improve the reliability of the detection results, the pyroelectric sensor is set to send the results to the control center after continuous triggering for 3 seconds. This ensures that the detection information received by the control center is more accurate and effective, reducing unnecessary false alarms. Furthermore, to promptly issue warning signals in the event of an accident, reminding passing vehicles to take evasive action and reducing secondary accidents, red and blue flashing lights are installed on the guide lights for accident warning, and their activation is controlled by microwave radar sensors and pyroelectric sensors.
[0026] Here, yellow, green, and red light groups are set inside the guidance lights. The field guidance light controller is connected to the low visibility detection unit through the control center and adjusts the light emission parameters of the guidance lights according to the low visibility detection unit. At the same time, it is connected to the microwave radar sensor and adjusts the flashing frequency of the guidance lights according to the microwave radar sensor, so that the driver can accurately judge the road conditions based on the changes of the guidance lights, make reasonable adjustments to driving behavior, and improve driving safety.
[0027] The outdoor guidance light controller is connected to the control center via Ethernet or 4G mobile network.
[0028] In order to obtain more comprehensive and accurate weather data for the fog safety guidance section and provide a more scientific basis for traffic guidance, the control center connects to a third-party meteorological system to obtain weather data for the fog safety guidance section. This enables the system to adjust traffic guidance strategies in a timely manner based on real-time weather conditions, improve the scientificity and rationality of traffic guidance, and better ensure road traffic safety.
[0029] This system comprises a control unit, a visibility sensor, and a fog safety guidance unit working collaboratively. The visibility sensor is positioned ahead of the fog safety guidance section, collecting real-time visibility data to provide foundational data for subsequent adjustments to the guidance strategy. The guidance lights of the fog safety guidance unit are distributed along the median strip and roadside. Microwave radar sensors and pyroelectric sensors within these lights collect information on vehicles and pedestrians. The microwave radar sensors detect the number and speed of vehicles, while the pyroelectric sensors determine if pedestrians are near the guidance lights. The arrangement of multiple pyroelectric sensors and a specific triggering mechanism improves the accuracy and reliability of the detection. The control center, as the core, receives and aggregates data from various sensors and connects to a third-party meteorological system to obtain weather data. This comprehensive data analysis determines which preset traffic guidance strategies should be activated. In essence, the control center selects traffic guidance strategies based on sensor data. For example, microwave radar sensors detect the number and speed of vehicles and send messages to following vehicles such as "Number of vehicles in the fog safety guidance section ahead is ××, speed is ××", "An accident or intrusion has occurred in the fog safety guidance section ahead, slow down", and "There are people at the location where the red and blue flashing lights of the fog safety guidance section ahead are flashing, vehicles should proceed with caution," etc. These voice messages are pre-recorded in the control center, which then selects the appropriate message based on data from the microwave radar and pyroelectric sensors. It should be noted that selecting the appropriate voice message based on sensor data, i.e., setting the voice message according to the corresponding situation, is something that current technology can achieve, and will not be elaborated on here.
[0030] For example, this IoT-based intelligent traffic guidance system was installed on a section of a highway frequently affected by heavy fog. One morning, heavy fog blanketed the area, and visibility sensors detected low visibility. At this time, microwave radar sensors in the guidance lights detected a significant decrease in vehicle speed and an increase in the number of vehicles ahead, while pyroelectric sensors detected people lingering near certain guidance lights. After compiling this data, the control center selected a preset voice message and sent it via microwave antenna to the onboard electronic tags of passing vehicles, alerting drivers to a potential accident ahead and urging them to slow down. Simultaneously, the field guidance light controller adjusted the light emission parameters to a more conspicuous mode based on information from the low visibility detection unit and increased the flashing frequency of the guidance lights based on information from the microwave radar sensors to attract drivers' attention and guide vehicles safely through the area.
[0031] The above description is only a preferred embodiment of the present utility model and is not intended to limit the scope of the patent application of the present utility model. All equivalent changes, equivalent substitutions or modifications made within the technical spirit and principles indicated by the present utility model should be included within the scope of patent protection covered by the present utility model.
Claims
1. An intelligent traffic guidance system based on the Internet of Things, comprising a control unit, a visibility sensor and a fog area safety guidance unit; characterized in that: the control unit comprises a microwave antenna, a variable information board and a control center arranged 100-200 meters in front of the fog area safety guidance section, the control center sends voice information to the vehicle-mounted electronic tags of vehicles through the microwave antenna; the visibility sensor is arranged in front of the fog area safety guidance section to obtain visibility data; the fog area safety guidance unit comprises guidance lights and an external field guidance light controller, the guidance lights are provided with microwave radar sensors and pyroelectric sensors, the guidance lights are arranged in the highway central median strip and roadside, and are arranged at a longitudinal spacing of 24 meters, the external field guidance light controller controls the guidance lights through wireless communication; the guidance lights at the front and rear of the fog area safety guidance section detect the number and speed of passing vehicles through the microwave radar sensors and send them to the control center, the guidance lights obtain whether there are personnel near the guidance lights through the pyroelectric sensors and send the results to the control center; the control center collects and sends data from the guidance lights and sends voice information to the vehicle-mounted electronic tags of passing vehicles through the microwave antenna.
2. The IoT-based intelligent traffic induction system according to claim 1, wherein: The pyroelectric sensor is provided with three, which are respectively arranged on the left and right sides and the front of the guidance light facing the road.
3. The IoT-based intelligent traffic induction system of claim 1, wherein: The pyroelectric sensor sends the results to the control center after being triggered continuously for 3 seconds.
4. The IoT-based intelligent traffic induction system of claim 1, wherein: The guidance light is provided with a yellow light group, a green light group and a red light group; the external field guidance light controller is connected with the low-visibility detection unit through the control center, and adjusts the light-emitting parameters of the guidance light according to the low-visibility detection unit.
5. The IoT-based intelligent traffic induction system of claim 1, wherein: The external field guidance light controller is connected with the control center through Ethernet or 4G mobile network.
6. The IoT-based intelligent traffic induction system of claim 1, wherein: The guidance light is provided with red and blue flashing lights for accident warning, which are controlled and triggered by the microwave radar sensor and the pyroelectric sensor.
7. The IoT-based intelligent traffic induction system of claim 1, wherein: The control center is connected with a third-party meteorological system to obtain weather data of the fog area safety guidance section.