Review on the Development of Intelligent Transportation Parking Lot Management System - Tigerwong

The third annual meeting and Summit Forum of China Intelligent Traffic Management Industry Alliance for parking lot management system, November 29, 2018. Li Guotao, vice president of enterprise Anping System Department of Huawei in China, described Huawei's trend judgment, panoramic scheme and innovative practice in the field of intelligent transportation with the theme of "Huawei traffic agent, serving better travel". Open the upgrading trend of intelligence and collaboration: the informatization in the field of traffic management has entered the deep water area. Even compared with banks, customs and other fields with high informatization level, the informatization level in the field of traffic management has always been at the forefront of various industries. The informatization level of traffic management is also 3-4 years ahead of these fields, which also means that the informatization of traffic management has entered the deep-water area and exploration period, and is starting the upgrading process of traffic intelligence and coordination. The informatization in the field of traffic control has experienced three stages: review. That is, all equipment and systems are isolated and complete a single function independently.

Phase I: equipment monitoring phase of single point and single system. That is, the interaction and linkage between local systems are realized. The second stage: the networked monitoring stage of multiple systems. It realizes data sharing and collision at a certain level. That is, the system has the ability to intelligently gather data, intelligently analyze business and intelligently assist decision-making.The third stage: intelligent collaboration and service stage based on artificial intelligence, cloud computing and big data platform. Greatly improve the actual combat ability of traffic police. The characteristic of this stage is based on AI. At present, the informatization level in the field of traffic management is entering the third stage from the second stage. The open sharing, loose coupling and conservative business model has been transformed into an elite combat model supported by a large platform. Huawei has launched a traffic agent in order to realize this new combat mode.

It is hoped that the intelligent control and service capability of the traffic management parking lot management system can be improved. Huawei traffic agent: realize the digitization, intelligence and coordination of traffic management system] promote the evolution of rural traffic from the physical world to the digital world. The traffic agent realizes the mutual mapping and collaborative interaction between the physical world and the digital world of rural traffic. Eventually evolved into the intelligent world. Li Guotao elaborated three key features of Huawei's intelligent transportation system: the model training process that used to take several months to complete is now reduced to a few minutes; Intelligence: the super computing power based on Huawei's shengteng 310 and shengteng 910 artificial intelligence chips.

And realize a variety of innovative applications. Past end smart camera holographic perception of traffic information, collaboration: provide end-to-end collaboration capability of the whole traffic process. The data is transmitted to the data Lake through the wide network. Finally, the processed and analyzed data are provided to each application system to realize business collaboration. Services: provide practical services and convenience services based on specific traffic scenarios.

Huawei's traffic agent consists of four parts: holographic perception, wide network, a sea of clouds and deep application. 1 holographic perception of parking lot management system: Based on the intelligent camera with the strongest computing power to perceive the full amount of traffic data, it can adaptively adjust various traffic scenes and road condition information. Huawei's artificial intelligence technology helps the camera to achieve a higher level of "people and vehicles Road" recognition. Accurately perceive traffic data. The detailed features such as license plates captured by the camera may be very vague. For example, there is a common pain point in traffic scenes: vehicles moving at high speed, rain and fog weather, low illumination, strong light environment and so on. Unable to meet traffic control requirements.