Intelligent driving system data flow composition and analysis

The intelligent driving system is a comprehensive system that integrates advanced information control technology, scenario environment perception, multi-level assisted driving and other functions. As a part of the intelligent transportation system that is being developed by various countries, the intelligent driving system is still under continuous exploration and experimentation.

Combined with the above-mentioned logical structure of the system, the data flow model is analyzed in detail.

1.1 Introduction to the Perception Layer

The perception layer, or data collection layer, is mainly composed of information about various factors that affect driving, namely the information collection of people, vehicles, and roads, as well as the mutual connection and cross-influence of the three information, which can be mainly divided into the following two points:

(1) The collection of road condition information, such as road geometry, road surface conditions, road hazards, road network conditions and traffic conditions, can generally be collected through high-precision navigation systems such as GPS or BeiDou system.

(2) Vehicle information. Vehicle information mainly includes original vehicle data, such as (vehicle model, vehicle theoretical parameters, etc.) and vehicle driving dynamic data, such as (driving speed, driving time, driving trajectory, etc.). Generally, data can be collected through the CAN bus.

1.2 Introduction to the Network Layer

The network layer is the data transmission and scheduling layer. After the navigation system collects the road condition information, it is transmitted through message communication. After the vehicle information is collected by the CAN bus, it is transmitted through the GPRS communication module. After the data is transmitted to this layer, it is summarized and integrated by this layer and then transmitted to the analysis layer.

1.3 Introduction to the analysis layer

The analysis layer, that is, the analysis and processing layer of big data, calculates and processes the data that affects driving under the defined function model due to the disorder of big data collection and processing. The processing results will be transmitted to the application layer, and will be returned to the network layer for storage and call, and a driving database will be established in the network layer.

1.4 Application Layer Introduction

The application layer, namely the application service layer, can share and coordinate information across applications and systems through data interfaces based on the results of data collection and processing. Under the Internet's big data application thinking and the concept of interconnection, the application of intelligent driving systems is mainly divided into three modules: user service system, traffic management system, and automobile marketing system.

(1) User service system. The intelligent driving system based on Internet thinking is based on the driver's driving safety and comfort. Through the cloud processing and computing platform of the Internet, it obtains the recommended vehicle safety driving assessment value, warning opinions, appropriate speed and other driving control data streams. The vehicle body receives the data through the CAN bus, automatically converts the data signal, performs driving control and adjustment, and proposes a visual interface for auxiliary guidance of driving countermeasures. Human-computer interaction coordinates the relationship between vehicles, ensures driving safety, and improves people's driving pleasure.

(2) Traffic management system. By calling the driving database, the traffic management department can accurately and real-time grasp the driving conditions, better organize, plan, coordinate and direct transportation activities, improve road driving efficiency and reduce traffic loss rate.

(3) Automobile marketing system. The driving database can provide enterprise data services for automobile companies, improve vehicle quality, and promote the directional development of enterprises.