CN-121982913-A - New energy source automatic driving vehicle traffic behavior supervision and service system based on internet of vehicles data

CN121982913ACN 121982913 ACN121982913 ACN 121982913ACN-121982913-A

Abstract

The invention discloses a traffic behavior supervision and service system for new energy self-driven vehicles of internet of vehicles, which comprises a data acquisition layer, a network transmission layer, a data processing and analysis layer and an application service layer, and adopts an end-side-cloud cooperative architecture. The data acquisition layer comprehensively acquires multi-source data such as vehicles, roads and traffic, the network transmission layer ensures the safe transmission of the data through a multi-class communication technology and an encryption means, the data processing and analyzing layer realizes intelligent analysis of the data by combining an AI algorithm model by means of an edge computing and cloud platform, and the application service layer provides differentiated services for governments, enterprises and users. The invention breaks the data island, realizes the transition from the retrospective early warning and the in-process intervention of the supervision mode, improves the driving behavior analysis scientificity, the safety early warning prospective and the carbon emission management precision, helps the government to improve the treatment efficiency, reduces the cost and increases the efficiency of enterprises, improves the travel experience of users, and has obvious technical, social and economic values.

Inventors

WANG JIE
DAI ZENG
LIAO WEIJIAN
YU GANG

Assignees

湖北天存信息技术有限公司

Dates

Publication Date: 20260505
Application Date: 20251216

Claims (10)

1. The system is characterized by comprising a data acquisition layer, a network transmission layer, a data processing and analyzing layer and an application service layer which are sequentially in communication connection, wherein the data acquisition layer, the network transmission layer and the data processing and analyzing layer adopt an end-side-cloud cooperative architecture to realize real-time monitoring, safety early warning, behavior analysis and efficient service of new energy and automatic driving vehicles; the data acquisition layer is used for acquiring the original data of the vehicle state, the road environment, the traffic event and the supplementary data source; the network transmission layer is used for realizing low-delay and high-reliability transmission and safe encryption of data between layers; The data processing and analyzing layer is used for storing, cleaning, real-time processing and intelligent analyzing the acquired data to generate an analysis result required by supervision and service; the application service layer is used for providing targeted supervision, operation and personalized services for different users.
2. The system for supervising and serving the traffic behavior of the vehicle automatically driven by the new energy of the Internet of vehicles data according to claim 1, wherein the data acquisition layer comprises a vehicle-mounted terminal, a road side unit, road side sensing equipment and other data sources, wherein the vehicle-mounted terminal is a T-Box/OBU integrated in the vehicle, and is connected with a vehicle power system, a battery management system, an automatic driving domain controller, a GPS/Beidou positioning module and an inertial measurement unit through a CAN bus, a special wire harness or a wireless interface to acquire the speed, acceleration, longitude and latitude, heading angle, steering lamp state, braking state, battery data and fault codes of the vehicle; the road side unit and road side sensing equipment are deployed at road key nodes, the road side sensing equipment comprises a camera, a laser radar, a millimeter wave radar and a meteorological sensor, the road side sensing equipment is connected with a road side computing unit MEC through a cable or an optical fiber to collect traffic flow, events, pedestrians, non-motor vehicles and weather condition data, a road side unit RSU is connected with the MEC through a wired network and is communicated with a vehicle-mounted OBU and a cloud platform through a wireless network, other data sources comprise a charging pile and a traffic signal control system, the charging pile uploads charging data through an Ethernet or a wireless network, and the traffic signal control system sends signal lamp state information through a special protocol.
3. The system for supervising and serving traffic behavior of new energy self-driven vehicles based on internet of vehicles data according to claim 1, wherein the network transmission layer adopts a transmission mode combining internet of vehicles communication technology and wide area communication technology, the internet of vehicles communication technology is C-V2X and comprises LTE-V2X and 5G-V2X or DSRC protocol, the internet of vehicles communication technology is used for short-distance, low-delay and high-reliability direct communication between on-board OBU and road side RSU and is used for transmitting safety early warning information, the wide area communication technology is 5G/4G or Ethernet and is used for communication between on-board T-Box and road side MEC units and a cloud platform and is used for transmitting monitoring and non-real-time data, and the data transmission process adopts TLS/SSL encryption protocol and identity authentication mechanism.
4. The system for supervising and serving traffic behavior of new energy self-driven vehicles based on Internet of vehicles data according to claim 1, wherein the data processing and analyzing layer comprises a cloud control basic platform and an edge computing node MEC, the edge computing node is deployed in a machine room close to a road side and is connected with an RSU and a sensor through a high-speed network, processes computation tasks sensitive to time delay, including front obstacle recognition, signal lamp state interpretation and cooperative collision avoidance decision, and sends results to the vehicles through the RSU, the cloud control basic platform adopts a distributed architecture, mass data storage is carried out through HadoopHDFS, real-time data processing is carried out through a APACHEKAFKA, SPARKSTREAMING or a Flink flow processing frame, and a built-in AI algorithm model carries out intelligent analysis on the cleaned data.
5. The system for supervising and serving traffic behaviors of new energy self-driven vehicles based on internet of vehicles according to claim 4, wherein the AI algorithm model comprises a driving behavior analysis model, a safety early warning model and an energy consumption assessment and carbon footprint tracking model, the driving behavior analysis model is used for identifying bad driving behaviors of sudden acceleration, sudden deceleration and sudden turning by analyzing time sequence data of acceleration, deceleration and steering angular speed of the vehicles, the safety early warning model is used for predicting accident risks based on historical data and real-time traffic conditions or cooperatively receiving road side unit abnormal event information through a vehicle road and sending early warning, the prediction accuracy rate of major accidents is over 80% in seven days in advance, the energy consumption assessment and carbon footprint tracking model is used for dynamically analyzing energy consumption data of new energy vehicles, and the carbon emission is calculated through the formula carbon emission = =. The driving behavior analysis model realizes systematic quantitative evaluation of the operation characteristics of the driver through multi-dimensional data fusion and pattern recognition.
6. The system for supervising and serving the traffic behavior of the vehicle automatically based on the new energy source driving of the data of the Internet of vehicles according to claim 1 is characterized in that the application service layer comprises a government supervising platform, an enterprise operating platform and a user service platform, wherein the government supervising platform provides a Web end or a large screen visual interface for traffic management and an industrial and communication department to realize functions of vehicle operation safety monitoring, traffic violation evidence obtaining, carbon emission supervision and emergency plan management, the enterprise operating platform provides SaaS service for a vehicle enterprise, a logistics company and a taxi company, outputs vehicle conditions, driving behaviors, energy consumption and efficiency data analysis reports through an API interface or a Web portal and is used for managing, maintaining and early warning, insurance assessment and optimizing and scheduling of the vehicle team, and the user service platform provides real-time road conditions, dangerous road section early warning, personalized driving scoring, charging pile recommendation and reservation and green trip integral service for a driver through a mobile phone APP or a vehicle end application.
7. The system for supervising and serving traffic behavior of new energy self-driven vehicles by using Internet of vehicles data according to claim 1, further comprising a data security and privacy protection module, wherein data encryption transmission and blockchain technology are adopted to ensure data authenticity and tamper resistance, an end-vehicle-cloud three-layer information security transmission architecture is constructed, and a transparent data use and notification consent mechanism is established.
8. The system for supervising and serving traffic behavior of new energy self-driven vehicle based on Internet of vehicles data according to claim 2, wherein the perceived technical route of the road side perceiving device and the vehicle-mounted terminal adopts a mode of combining single car intelligence with vehicle-road cooperation, or alternatively adopts a mode of using vehicle-side intelligence as a main mode and road side intelligence as an auxiliary mode, or uses road side intelligence as a main mode and vehicle-side intelligence as an auxiliary mode.
9. The system for supervising and serving traffic behavior of new energy self-driven vehicles based on internet of vehicles according to claim 4, wherein the storage architecture of the cloud control basic platform adopts a central cloud, regional private cloud or hybrid cloud deployment mode, and sensitive data is reserved locally in the hybrid cloud mode while public cloud elastic computing resources are called.
10. The system for supervising and serving traffic behavior of new energy self-driven vehicles based on Internet of vehicles data according to claim 6, wherein the governmental supervision platform is used for constructing a city-level or country-level supervision platform for government dominance, and is accessed by enterprises, or the enterprises self-built platform is used for receiving government supervision, opening an interface to an automatic driving company, integrating data and providing support for self operation and government supervision.

Description

New energy source automatic driving vehicle traffic behavior supervision and service system based on internet of vehicles data Technical Field The invention relates to the technical fields of internet of vehicles, new energy automobiles and automatic driving, in particular to a traffic behavior supervision and service system for automatically driving vehicles by using internet of vehicles data and new energy. Background Along with the rapid development of new energy automobiles and automatic driving technologies, the internet of vehicles is used as a core supporting technology, and the traffic field is promoted to be transformed into intelligent internet. The country-place-enterprise three-level new energy automobile big data supervision platform system is built in China, over 1100 ten thousand vehicles are connected, and data acquisition and interconnection of vehicle running states, battery information, driving behaviors and the like are achieved. The operation of the system depends on various key technologies, namely, in the aspects of data acquisition and communication transmission, data are acquired through a vehicle-mounted terminal (T-Box), a Road Side Unit (RSU) and a multisource sensor, transmission safety is guaranteed by adopting a 5G/C-V2X and other communication technologies and encryption means, in the aspects of big data processing and analysis, functions of driving behavior analysis, potential safety hazard prediction and the like are realized by adopting a distributed storage and flow processing technology and combining an AI and a machine learning algorithm, resource allocation is optimized by cloud-side-end cooperative calculation, response delay is reduced, and a protection system is constructed by adopting data safety and privacy protection through encryption transmission, block chain and other technologies. Based on the technology, the system is applied to the scenes of product quality supervision and tracing, operation safety active prevention and control, driving behavior analysis and evaluation, accurate carbon emission management and tracing, public service, intelligent traffic optimization and the like. However, the prior art still has a plurality of defects that firstly, the problem of data island and barrier is outstanding, the data standards of cross departments, cross platforms and cross vehicle enterprises are different, the intercommunication sharing rate is less than 40%, the data rights are not clear, the loss of benefit distribution mechanism leads to the difficulty in fusing data, secondly, the risks of data safety and privacy leakage, the risks of excessive acquisition, abuse or leakage of sensitive data such as high-precision geographic information, user personal information and the like exist, the safety standards and supervision mechanism are not perfect, the technical maturity and reliability are limited, the sensor precision and communication reliability are reduced in severe environments, the AI model generalization capability is not enough, the key technology dependence is higher, fourthly, the law and standard system is lagged, the responsibility of automatic driving accidents is determined to have blank, the standards such as data interfaces and communication protocols are not uniform, the supervision lags behind the technical innovation, thirdly, the intelligent infrastructure is insufficient and cost challenge, the intelligent infrastructure is not covered and balanced, the transformation cost and operation cost are high, the social acceptance and trust mechanism is poor, the public has clear decision on the data privacy and automatic driving safety, AI algorithm is not doubtful, and a digital gap exists. Therefore, aiming at the technical problems, it is necessary to provide a vehicle network data new energy source automatic driving vehicle traffic behavior supervision and service system. Disclosure of Invention The invention aims to provide a traffic behavior supervision and service system for automatically driving vehicles by using new energy of internet of vehicles, which solves the technical problems. In order to achieve the above purpose, the present invention provides the following technical solutions: the system comprises a data acquisition layer, a network transmission layer, a data processing and analyzing layer and an application service layer which are sequentially in communication connection, wherein the data acquisition layer, the network transmission layer and the data processing and analyzing layer adopt an end-side-cloud cooperative architecture to realize real-time monitoring, safety early warning, behavior analysis and efficient service of new energy and automatic driving vehicles; the data acquisition layer is used for acquiring the original data of the vehicle state, the road environment, the traffic event and the supplementary data source; the network transmission layer is used for realizing low-delay and high-reliability transmission an