1 Scope
This document specifies the general requirements, format and definitions of data for smart connected vehicles.
This document applies to data collection systems that can collect and return data on smart connected vehicles and on rear-mounted data collection systems on vehicles in general.
2 Normative reference documents
The contents of the following documents constitute essential provisions of this document through normative references to the documents. Among them, the reference document with a date, only the version corresponding to that date is applicable to this document: the reference document without a date, its latest version (including all revision sheets) is applicable to this document.
GB14887-2011 Road traffic signals
GB/T15089-2001 Classification of motor vehicles and trailers
GB16735-2019 Vehicle identification code (VIN) for road vehicles
GB/T32960.3-2016 Technical specification for electric vehicle remote service and management system Part 3: Communication protocol and data format
GB/T39263-2020Terms and definitions of advanced driver assistance systems (ADAS) for road vehicles
GB5768.2-2009 Road traffic signs and markings Part 2: Road traffic signs
GB5768.3-2009 Road traffic signs and markings Part 3: Road traffic markings
GB5768.7-2018 Road traffic signs and markings Part 7: Non-motorized vehicles and pedestrians
GB/T6104-2005 Terminology for motorized industrial vehicles
3 Terminology and definitions
The terms defined in GB5768.3-2009, GB/T6104-2005 and GB/T39263-2020 as well as the following terms and definitions apply to this document.
3.1
Intelligent Connected Vehicleintelligent connected vehicle;ICV
Intelligent connected vehicle refers to a new generation of vehicles equipped with advanced on-board sensors, controllers, actuators and other devices, and incorporating modern communication and network technologies to achieve intelligent information exchange and sharing between the vehicle and X (human, vehicle, road, cloud, etc.), with functions such as complex environment perception, intelligent decision-making and collaborative control, which can achieve safe, efficient, comfortable and energy-saving driving, and can eventually be operated by people instead.
3.2
Main vehiclesubject vehicle
The subject vehicle that collects, processes and transmits back data.
3.3 energy mode
Energy modeenergy mode
The mode of powering a vehicle using different types of fuel.
3.4
Roadlane line
A traffic marking on the road surface that separates moving vehicles by a line.
3.5
Road form
Used to describe the type and character of a road.
3.6
lane equation line equation
The equation of the projected trajectory of the main vehicle on the geodetic coordinate system.
3.7
ghost attack
An event in which the vehicle system is misjudged and misoperated due to the intervention of external signals, including but not limited to sound, light, radio, etc.
3.8
Data deflection
The process of deflecting a negative parameter by a certain rule to make it positive: the process of deflecting a parameter with a decimal value by a certain rule to make it integer.
3.9
intelligent driving assistance systemautonomous driving system;ADS
An intelligent vehicle system that enables unmanned driving by means of an on-board computer system.
3.10
Adaptive cruise control;ACC
Real-time monitoring of the driving environment in front of the vehicle and automatic adjustment of the driving speed within a set speed range to adapt to changes in the driving environment caused by vehicles and/or road conditions ahead.
3.11
Traffic jam assist (low speed following) traffic jam assist;TJA
monitors the driving environment in front of the vehicle and adjacent lanes in real time and automatically controls the vehicle laterally and longitudinally when the vehicle is passing through a traffic jam at low speed, some of which is subject to driver confirmation.
3.12
Lane departure warning; LDW
Real-time monitoring of the vehicle's state of travel in the main lane and issuing of a warning message in the event of an undesired or imminent lane departure.
3.13
Lane keeping assist (automatic lane correction) lanekeepingassist;LKA
Monitors the position of the vehicle relative to the lane edge in real time and controls the lateral movement of the vehicle continuously, or if necessary, to keep the vehicle in its original lane.
3.14
Lane-centring control;LCC
Real-time monitoring of the vehicle's position relative to the lane edge and continuous automatic control of the vehicle's lateral movement so that the vehicle remains in the centre of the lane.
3.15
Intelligent parking assistanceintelligentparkigassist;IPA
Automatically detects parking space and provides the driver with assistance functions such as parking instructions and/or directional control when the vehicle is parked.
3.16
Rear collison warning;RCW
Monitors the vehicle's rear environment in real time and issues a warning message in the event of a possible rear collision hazard.
3.17
Automatic emergency braking;AEB
Real-time monitoring of the vehicle's forward driving environment and automatic activation of the vehicle braking system to slow down the vehicle to avoid a collision or mitigate the consequences of a collision if a collision hazard is likely to occur.
3.18
Forward collision warning;FCW
Real-time monitoring of the vehicle's forward driving environment and issuing of a warning message in the event of a possible forward collision hazard.
3.19
antilock brake system;ABS
A system that automatically controls the amount of braking force applied to the brakes when the vehicle is braked, so that the wheels are not locked.
3.20
Electronic stability control; ESC
A system or procedure that improves the handling performance of a vehicle and effectively prevents it from losing control when dynamic limits are reached.
3.21
blind spot monitoring system blindspot detection;BSD
Real-time monitoring of the driver's blind spots and the issuing of alerts or warning messages when other road users are present in the driver's blind spot.
3.22
Data security levelofdata security;DS
The classification of data according to its protection and security requirements.
4 General requirements
The following specifies the systems to which this document applies, the spatio-temporal reference system requirements, file storage formats, data management methods, accuracy requirements and data sources.
4.1 Applicable systems
The following systems are applicable.
a) Front-mounted collection systems for which data can be returned from smart networked vehicles.
b) Rear-mounted acquisition systems for which data can be returned from general vehicles.
4.2 Spatio-temporal reference system requirements The spatio-temporal reference system requirements are as follows
a) The time reference is preferably Coordinated Universal Time (UTC);
b) A vehicle coordinate system is used to describe the relative position of the target to the primary vehicle: i.e. the X-axis points parallel to the ground in front of the vehicle, the Y-axis points to the left of the driver and the Z-axis points upwards through the centre of mass of the vehicle.
c) The geodetic coordinate system is used to describe the route of the main vehicle.
4.3 File storage format
It is recommended to use the csv file format in Excel for storage.
4.4 Data management methods
According to the different attributes of the collected data elements a sub-table management is adopted, which can be divided into main vehicle data table, environment data table and target object data table. The time stamps and vehicle identifiers of the different data sub-tables are the same and are linked in this way.
4.5 Accuracy requirements
Direct latitude and longitude accuracy to 6 decimal places.
Relative latitude and longitude accuracy (i.e. after position adjustment) to 7 decimal places.
4.6 Data sources
The source of the data is the various sensor statistics on the vehicle. This includes, but is not limited to, data from the vehicle bus, data from external environmental sensors (including cameras, millimetre wave radar, LIDAR) and data from V2X devices.
5 Data formats and definitions
5.1 General rules
Smart connected cars add advanced sensors such as radar and cameras to the general vehicle, which are capable of collecting a large amount of data from the vehicle itself, its occupants and the external environment. This document does not limit the types of sensors collected and the data processing algorithms and methods, but only regulates the format and definitions of the raw data collected directly or the desensitised data obtained by subsequent processing.
Each table has a different attribute label for each type of block, which includes
a) U-field name: information about the name of the data.
b) English field name: English representation of the data name information.
c) Definition Description: the specific definition of the cosegment.
d) Data type: the data types in this document are divided into character type and numeric type, which are used to describe the distinction between different data types.
e) Description and requirements: specific content description and format definition requirements for the field.
f) Unit: The unit of measurement of the data.
g) Valid range: The boundary between the number of bits and the value of the data.
h) Data Security Level: The data is classified into security levels based on the risk profile in data inbound interaction or outbound activities, referred to as DS level. DS level is composed of two numbers, the first number indicates the data inbound interaction security level and the second number indicates the data outbound security level. The higher the number, the higher the risk. The specific data security levels are shown in Table 1.
Table 1 Data Security Levels
Appendix A (Informative) Generic Alarm Identification
Bibliography
contents3 Terminology and definitions
4 General requirements
5 Data formats and definitions
Appendix A (Informative) Generic Alarm Identification
Bibliography
