Intelligent Traffic System (ITS) is based on urban road traffic and business district communities, and uses wireless network, AI artificial intelligence, RFID identification, sensors and controllers, AGV magnetic navigation, embedded systems, mobile Internet, cloud computing and other technologies to achieve intelligent control and management of simulated cities by relying on sensors and control, wireless network, intelligent training vehicles, video surveillance, intelligent gateways and other devices deployed in the live sand table, so as to help students become familiar with the development of smart city system related projects and complete the improvement from specific basic knowledge points to comprehensive applications. In addition, ITS can effectively improve travel convenience, present rich environmental information, reduce traffic load and environmental pollution, ensure traffic safety, and improve transportation efficiency. The AI intelligent transportation model provides corresponding scenarios for various systems, in which sensors and actuators with corresponding functions are arranged. The sensor transmits the collected information to the PC through ZigBee, and the terminal control system controls the corresponding actuator to respond. Integrating smart communities, intelligent vehicle management, vehicle tracking, ETC control, urban environment monitoring, intelligent parking lots, urban lighting control, dangerous road warning, traffic light indication, traffic flow detection, IoT applications, IoT training intelligent vehicles, VR virtual display applications, mobile terminal control, intelligent gateways, IoT cloud servers, and other systems to form a complete urban model.

This system combines the current hot virtual reality technology with specially developed devices. The immersive experience of smart cars moving on the sand table by users has increased their interest in developing and learning. Simulate an AI smart city scene through an app and present it in 3D to users. Users are placed inside a tour bus, and as the bus runs, they can see the entire 3D scene of the smart city, including buildings, bus stops ETC、 Traffic lights, intelligent parking lots, etc. simulate real traffic conditions.

1. It covers various scenarios such as intelligent bus control, traffic indicator lights, ETC control systems, intelligent parking lots, dangerous road monitoring, environmental monitoring, IoT applications, intelligent street lights, traffic flow monitoring, license plate recognition, and vehicle positioning, facilitating students to gradually understand the development and application of IoT technology in the field of intelligent transportation, and to carry out secondary development on this basis.

2. The networking adopts ZigBee technology for interconnection, where the ZigBee part uses CC2530 processor and provides independent CC2530 module nodes. CC2530 nodes are installed using clip connectors, which can be disassembled without any tools, without the need for glue or screws to fix, making it convenient for students to disassemble and reconstruct.

3. VR virtual reality increases the experience of the sandbox, allowing users to experience the motion path of the intelligent car on the sandbox model from the first perspective, making the sandbox more realistic.

VR Smart City System Interface

1. Intelligent Vehicle Management System

The intelligent vehicle and gateway system use ZigBee wireless network to achieve vehicle networking, and use AGV magnetic navigation sensors to achieve autonomous navigation. By using RFID to determine location, it can perform multi-path autonomous selection, and cooperate with the system's start stop, left and right turn commands to achieve functions such as intersection traffic lights, intelligent parking lot, and path planning.

Equipment involved: IoT training intelligent vehicles, bus display screens, etc

2. Vehicle tracking system

Combining image processing technology to enable computers to automatically recognize and track vehicles in the sandbox, and send location information to the central control system. The main functions of the system include specific marking and positioning functions, tracking of moving objects, etc.

Equipment involved: Drive free camera, USB signal amplifier extension cable, etc

3. ETC control system

ETC entrances and exits automatically charge vehicles. After the vehicle enters the range of the UHF card reader, the card reader automatically reads the vehicle information and the control system deducts the fee. The relevant vehicle information, cost information, etc. in the ETC system can be viewed in real time.

Equipment involved: serial port display screen, 915M ultra-high frequency read-write module, barrier gate control module, infrared diffuse reflection sensor, etc

4. AI intelligent parking lot system

By utilizing artificial intelligence visual recognition technology, the license plate number of the vehicle can be recognized, and based on the current parking situation of the parking space, the parking space can be intelligently displayed, allocated, and automatically parked. The system will record the parking duration, calculate the corresponding consumption amount, and automatically deduct the fee and release the vehicle when it leaves the parking lot.

Related devices: serial display screen, wireless network camera, license plate recognition module, barrier control module, infrared diffuse reflection sensor, etc

5. Smart Community System

The combustible gas sensor and smoke sensor will upload the collected data to the central control system through ZigBee. When the value exceeds the safe range, it will trigger an audible and visual alarm; The human infrared sensor will provide real-time feedback on both human and unmanned situations in the IoT application system; If the flame sensor detects a flame, it will automatically send alarm data to the intelligent gateway system, which will control the fire truck to go to the alarm location.

Equipment involved: smoke sensors, gas sensors, flame alarms, human infrared sensors, etc

6. Urban environmental monitoring system

Real time environmental data is collected through sensors, which can alert in a timely manner when encountering special environmental conditions. The sensor communicates with the node control board through 485 and uses Modbus bus protocol. Upload the data to the smart gateway through ZigBee, and the smart gateway will summarize and send the data to the server.

Equipment involved: lighting sensors, air temperature and humidity sensors, PM2.5 sensors, wind speed sensors, wind direction sensors, etc

7. Urban lighting control system

The intelligent street light control system provides two modes: intelligent control mode and time period control mode.

Intelligent control mode: The system controls the overall operation of the street lights based on the data collected by real-time lighting sensors.

Time control mode: The overall control of the street lights is achieved through preset time parameters.

Equipment involved: street lamp module, light sensor, etc

8. Warning system for dangerous road sections

Set up dangerous section monitoring on highway sections, which will trigger local sound and light alarms when abnormalities occur. At the same time, the alarm information of the section will be uploaded to the intelligent gateway, which will implement emergency shutdown processing for the section.

Equipment involved: sound and light alarm, single beam infrared detector, rain and snow sensor, wireless network camera, etc

9. Traffic lights and traffic flow monitoring system

Provide two modes for traffic light settings: fixed duration and dynamic adjustment. In dynamic adjustment mode, the system can dynamically adjust the time interval of traffic lights according to the size of traffic flow. The system can also cooperate with the central control system to achieve functions such as priority passage for specific vehicles.

Bury infrared diffuse reflection sensors at intersections to count passing vehicles, achieve real-time monitoring of traffic flow on main roads, and promptly report and warn traffic information through traffic information boards.

Equipment involved: traffic lights, infrared diffuse reflectance sensors, etc

Project 1: Intelligent Travel Scenario

Project background: It is common to encounter traffic jams during daily commuting to work, and using map apps can change this situation. Apps such as Gaode or Baidu Maps can identify road congestion and provide suitable transportation options. The main ways for APP to obtain road condition data are as follows: first, pre embedded induction coils; second, through taxi and user positioning; third, from enthusiastic citizens' road condition reports. Before traveling, users can locate their current location through the app, obtain the destination's route, travel time, traffic congestion situation, and choose the appropriate mode of transportation. During travel, obtain real-time information on road congestion and unexpected road conditions, and change the route or mode of transportation according to the current road conditions in order to reach the destination smoothly.

Scenario simulation: By burying infrared diffuse reflection sensors at intersections to count passing vehicles, real-time monitoring of traffic flow on main roads can be achieved, and timely traffic information notification and warning can be carried out through traffic information boards. Combining image processing technology to enable computers to automatically recognize and track vehicles in the sandbox, and send location information to the central control system. The intelligent vehicle and gateway system use ZigBee wireless network to achieve vehicle networking, and use AGV magnetic navigation sensors to achieve autonomous navigation. By using RFID to determine location, it can perform multi-path autonomous selection, and cooperate with the system's start stop, left and right turn commands to achieve functions such as intersection traffic lights, intelligent parking lot, and path planning. Set up dangerous section monitoring on highway sections, which will trigger local sound and light alarms when abnormalities occur. At the same time, the alarm information of the section will be uploaded to the intelligent gateway, which will implement emergency shutdown of the section to avoid traffic accidents and congestion.

Project 2: Intelligent Parking Lot

Project background: The recent parking problem has been resolved in Shenzhen. Through the data access solution of Internet plus parking lot bayonet, a massive parking basic database has been successfully built. This measure can effectively grasp parking information, share parking data with Baidu and Gaode Maps, and provide parking guidance services. Previously, to find a parking spot, drivers had to turn around the parking lot for half a day before realizing that all the parking spaces were full. Now, the in car navigation linked parking app can quickly check if there are any available spaces in the current parking lot. It saves time and avoids wasting money. At the same time, the parking lot adopts an ETC non-stop toll collection system, which automatically deducts fees and greatly saves time spent during the parking process.

Scenario simulation: Using artificial intelligence visual recognition technology, the license plate number of the vehicle can be recognized, and based on the current parking situation, the parking space can be intelligently displayed, allocated, and automatically parked. The system will record the parking duration, calculate the corresponding consumption amount, and automatically deduct the fee and release the vehicle when it leaves the parking lot. ETC entrances and exits automatically charge vehicles. After the vehicle enters the range of the UHF card reader, the card reader automatically reads the vehicle information and the control system deducts the fee. The relevant vehicle information, cost information, etc. in the ETC system can be viewed in real time.

Smart Parking Lot

Intelligent Parking Lot System