What is smart transportation?
Smart transportation integrates science and technology such as the Internet of Things, cloud computing, big data, and mobile Internet to provide traffic information services under real-time traffic, and realize the systematization, real-time nature, interactive nature of information exchange and extensive services of smart transportation. Comprehensive use of Al, system method, transportation science and other theories and tools enables vehicles, roads, and people to cooperate with each other, thus establishing a real-time dynamic transportation information service system with comprehensive perception and active service characteristics.
Smart transportation mainly addresses the following application requirements:
1. Big data visualization analysis and decision-making platform
Utilize cloud computing, Internet of Things and big data technologies to combine people, vehicles, driving roads and the surrounding environment involved in the transportation system to establish a complete road network operation monitoring business and management service business.
2. Real-time monitoring of traffic
The intelligent traffic monitoring system makes the traffic information and traffic-related information on the road as complete and timely as possible; enables the information exchange among traffic participants, traffic managers, vehicles and road management facilities to be real-time and efficient, and makes the control center have an effective control over the execution system. More efficient control makes the processing software system highly capable of self-learning and self-adaptation.
The intelligent traffic monitoring system can intuitively monitor the traffic conditions on the road. It is mainly installed at intersections to track passing vehicles and pedestrians, especially for hit-and-run vehicles, which can be chased at the fastest speed.
3. Simulation system
The simulation platform is an important part of intelligent transportation planning. Through the visualization of digital twin technology, the current traffic operation status can be simulated, and the quantitative evaluation and analysis of the traffic organization plan can be completed.
4. Emergency management system
According to real-time road conditions, weather and service facilities and other multi-source information, connect with video resources such as roads, ports and shipping, transportation management, etc., to build a comprehensive traffic emergency management platform, and realize early warning, occurrence, emergency treatment and post-event review analysis. Full life cycle management.
5. Public transport supervision system
Combining the current geographic information and operational data, realize the all-round dynamic supervision of people, vehicles, and enterprises, effectively solve the problems of scattered data, unfounded law enforcement, and weak behavior supervision, and realize the information exchange between drivers and dispatch management centers. Effectively improve the operational efficiency of commercial vehicles, buses and taxis.
6. Signal light control system
Build a traffic signal control system to realize information exchange and sharing among multiple systems, and realize application functions such as remote control and real-time tracking of traffic signals according to custom settings at different times and in different directions.
7. Automatic driving system
Use real-time driving data to assist the driver to drive the car, or replace the driver to drive the car automatically.
8. Public service system
Provide service support for the whole scene of vehicles before, during, and after the trip. Users can realize violation handling, resource sharing, smart parking, on-the-way guidance, smart police and other services through mobile terminals, combined with traffic data and Internet data from multiple government departments And users automatically report data, making urban traffic management more convenient, users can perceive in real time during travel, and provide reliable data support for users to pass smoothly.
The Importance of Data to Smart Transportation
Data is the foundation and lifeblood of smart transportation. The above eight applications are realized based on the real-time acquisition and analysis of a large amount of data, such as specific location information, traffic flow, occupancy rate, queue length and travel time and other important traffic data.
JLW Technology provides data support for smart transportation
As a professional data collection and labeling company, Jinglianwen Technology has an advanced data labeling platform and mature labeling, review, and quality inspection mechanisms, which are suitable for all types of data labeling needs. In the field of transportation, the platform can support multiple operations such as 2D image points, lines, frames, and segmentation. It also has mature point cloud tools such as 3D point cloud annotation, point cloud tracking, and point cloud segmentation. In addition, for customized data labeling services, the platform also supports voice engineering (voice cutting, ASR voice transcription, voice emotion judgment, voiceprint recognition labeling, etc.), natural language processing (OCR transcription, text information extraction, NLU sentence generalization) Multi-type data annotation. It satisfies the needs of various data labeling services in different application scenarios, so as to promote the application of artificial intelligence in more scenarios.
In the future, JLW Technology will continue to devote itself to providing more and higher-quality training data for companies and enterprises in the field of intelligent transportation.