Smart Transportations

Technical difficulties: intelligent transportation construction needs to rely on the support of various new technologies, such as the Internet of Things, cloud computing, big data, artificial intelligence, etc., and the application and integration of these new technologies need to face many technical problems, such as the stability and security of network communication, the accuracy and reliability of sensors, data collection and processing, algorithm design and optimization. At the same time, these new technologies are constantly updated and developed, and in practice, they need to be constantly adapted and updated in order to always stay at the forefront of application.

Data sharing and privacy protection:in the intelligent transportation system, various traffic data need to be collected for analysis and processing and intelligent decision-making, but these data involve public safety and personal privacy, how to ensure the security and privacy of the data is a difficult point. In addition, if the traffic data is open and shared, the data can be more widely used, but at the same time, it is also necessary to solve the unified format and interface of various data sources, otherwise it will lead to redundancy and duplication of data, and aggravate the difficulty of data processing and analysis.

Application scenarios and management system:the application scenarios of intelligent transportation involve various industries and departments, such as transportation, public security law enforcement, urban management management, environmental protection monitoring, etc., involving various business processes and service systems, it is necessary to establish a unified management system in various fields in order to achieve an interconnected intelligent transportation system. However, it is not easy to establish a unified management system, which requires the collaboration and cooperation of various industries and departments, and needs to solve the interface problem between various systems.

Traffic signal control

Through efficient algorithms and real-time data processing capabilities, industrial computer can perform intelligent scheduling according to traffic flow and road conditions, optimize traffic signal timing, reduce congestion and waiting time, and improve traffic efficiency.

Vehicle identification and monitoring

The industrial computer can combine image processing and machine learning technology to accurately identify the type, license plate and driving status of the vehicle, realize the violation capture and traffic violation monitoring, and improve the effect of traffic safety and law enforcement.

Data collection and analysis

the industrial computer can collect and process traffic data in real time, including traffic flow, speed, road conditions and other information. Through data analysis and mining, it can provide decision support for the traffic management department, optimize traffic planning and resource allocation, and improve the overall efficiency of the traffic system.

Intelligent parking management

The industrial computer, combined with vehicle identification and real-time navigation technology, can provide real-time parking space information and navigation services through vehicle identification automatic navigation, reduce parking time and congestion, and improve the utilization rate of parking lots and user experience.

High performance: Industrial computers use high-performance processors and industrial-grade components, have strong computing power, and can quickly process large amounts of data and complex algorithms.

Multiple interfaces and scalability: Industrial computers are usually equipped with multiple interfaces and expansion slots, which can be connected to various sensors, cameras and external devices to meet different smart transportation application requirements and support flexible configuration and expansion of the system.

Reliable data storage: Industrial computers have high-speed storage and communication capabilities, support large-capacity storage devices, and can reliably store and transmit traffic data.

Anti-interference and environmental adaptability: Industrial computers use industrial-grade design and reliable hardware components, have good anti-interference and ability to adapt to harsh environments, can operate stably in various weather conditions and traffic environments, and ensure the reliability and continuity of the transportation system.