The Korean Society Of Automotive Engineers
[ <Technical Paper> ]
Transactions of the Korean Society of Automotive Engineers - Vol. 33, No. 12, pp.1065-1073
ISSN: 1225-6382 (Print) 2234-0149 (Online)
Print publication date 01 Dec 2025
Received 29 Sep 2025 Revised 26 Oct 2025 Accepted 27 Oct 2025
DOI: https://doi.org/10.7467/KSAE.2025.33.12.1065

Study on Standardization of Data Retrieval Tools for DSSAD based on SAE J1698

Jungyun Kim*
Department of Automotive Engineering, Daegu Catholic University, Gyeongbuk 38430, Korea

Correspondence to: *E-mail: kjungyun@cu.ac.kr

Copyright Ⓒ 2025 KSAE / 241-08
This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License(http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium provided the original work is properly cited.

Abstract

Many countries have been endeavoring to secure standards and technology leadership for Data Storage System for Automated Driving (DSSAD). There have also been announcements of planned regulatory changes, requiring automakers and dealers to distribute and sell EDR data retrieval tools and provide EDR data and analysis reports upon request to vehicle owners. These legal amendments address the demands of vehicle owners and accident victims for the verification of data integrity and the disclosure of information regarding EDRs. The advancement of autonomous driving technology, coupled with the advancement and standardization of EDR and DSSAD technologies, is expected to significantly impact not only the industry but also the daily lives of citizens. This study described the standardization trends for data retrieval tools used with DSSADs in relation to EDRs. We also proposed functional requirements for DSSAD data retrieval tools, based on the SAE J1698 standard, to retrieve information related to autonomous vehicle accident records. The featured content covers the data protocol and interface functions of the DSSAD data retrieval tools, as well as the functional requirements necessary for their operation. The study’s proposal aligns with the latest technologies and trends in international standards and harmonized content so it can be applied to developing domestic standards in the future.

Keywords:

DSSAD, Data retrieval tool, EDR, Standard, Regulation

1. Introduction

The traffic accident investigation aims to identify the cause of the accident, establish responsibility, and prevent similar accidents in the future. Accident investigations determine whether the parties involved in the accident violated any laws or regulations, and determine who was at fault and who was injured. These investigations must be conducted objectively and impartially, and to achieve this, an Event Data Recorder(EDR) capable of capturing vehicle condition information at the time of the accident is essential.

In 2012, South Korea revised the Motor Vehicle Management Act, defining an EDR for the first time and imposing obligations on vehicle manufacturers and sellers to notify drivers of installation and provide information. In 2014, the Regulations for Performance and Safety Standards of Motor Vehicle and Vehicle Parts were revised to further specify the items to be recorded when installing EDRs. EDRs are designed to be stored only under certain conditions, such as airbag deployment. The number of accident investigations utilizing these EDRs is increasing yearly, indicating that data from these devices plays a crucial role in traffic accident analysis.1)

Furthermore, competition among countries to establish standards and technologies for EDRs and Data Storage System for Automated Driving(DSSAD) for analyzing traffic accidents involving autonomous vehicles has become fierce. In South Korea, research on DSSAD, data extraction devices, and related traffic accident investigation and analysis techniques has been conducted since 2021 through the Korea Autonomous driving Development Innovation Foundation (KADIF)’s Autonomous Driving Technology Development Innovation Project (inter-ministerial).2) This study partially includes the research findings on the standardization of DSSAD data extraction devices, conducted under the project “Development of an Extraction and Analysis System for DSSAD Accident Analysis” led by the Korean National Police Agency.3)

Technologies and regulations regarding vehicle data recorders in South Korea have also been rapidly changing, in line with the advancement of autonomous driving technology. Particularly, the revised Motor Vehicle Management Act, which will take effect on December 4, 2025, will require automobile manufacturers and sellers to distribute and sell EDR data extraction devices on the market, and provide EDR data and analysis results reports to vehicle owners upon request, among other changes planned for the system. This regulatory change is expected to address vehicle owners’ and accident victims’ demands for data integrity verification and information disclosure regarding EDRs, and with the advancement of autonomous driving technology, the technological advancement and standardization of EDR and DSSAD will significantly impact not only the industry but also the daily lives of citizens.

This study explains the standardization trends of data extraction devices, which are not data standards recorded in DSSAD, in relation to EDR, and proposes standardization methods for areas that should be considered differently from EDR. The functional requirements of the DSSAD data extraction device for extracting information related to accident records of autonomous vehicles were based on the SAE J1698 standard.4) In particular, the data extraction protocol of EDR of SAE J1698-2 was reviewed,5) and a common physical interface was identified using several industry standards, and the functional requirements of the data extraction device required to retrieve records stored in the DSSAD were defined.


2. Data Storage System for Automated Driving (DSSAD)

2.1 DSSAD

With the growing need for autonomous vehicle operation and testing on public roads, the state of California enacted legislation in September 2012 to permit autonomous vehicle testing.6) Subsequently, the US Department of Motor Vehicles (DMV) certification requirements for autonomous vehicles on public roads stipulated that autonomous vehicles must record driving data and have a separate structure with functional requirements similar to those of an EDR.7)

In South Korea, the performance standards and minimum data recording requirements for autonomous driving data recorders were defined through a partial amendment to the Regulations for Performance and Safety Standards of Motor Vehicle and Vehicle Parts since December 2020. This amendment specifies that autonomous driving data recorders must be able to store at least six months or 2,500 records, and that the minimum data recording requirements include autonomous driving system activation, release methods, and driving transition requirements. Moreover, for accident analysis, like EDRs, the recorded data must be extracted after a collision, and all recorded information must be accessible even when the vehicle’s on-board power supply is unavailable. In October 2023, the “Regulations for Safe-driving Requirements and Test-driving of Autonomous Vehicles” were enacted, with reference to laws and regulations from various countries, stipulating in Articles 17 and 18 that the installation of driving recorders and video recorders shall be mandatory.

As such, as the need for DSSADs has emerged, related regulations and standardization efforts are being discussed, particularly within the United Nations Economic Commission for Europe(UNECE) and ISO TC 22, with particularly active legislative and regulatory developments taking place in the European Union(EU). First, the UNECE GRVA(Working Party on Automated/Autonomous and Connected Vehicles), a group of autonomous driving experts under UNECE WP.29, has initiated discussions on the standardization of autonomous driving recorders. Key topics of the discussion include the procedure for differentiating from EDR, clarifying the definition of an incident, developing performance criteria and evaluation methodologies for DSSAD, and cybersecurity and software updates. Specifically, the EDR/DSSAD UNECE IWG(Informal Working Group) in July 2023 discussed data items and format specifications to be added to DSSAD.8) In addition, measures to ensure the post-incident operability of DSSAD data extraction devices, similar to EDR, were proposed for further review in South Korea.9)

2.2 DSSAD and EDR-AD

While EDR records vehicle driving data starting from five seconds before an accident, DSSAD records various data during driving, storing information related to autonomous driving not only in the event of an accident but also continuously. Therefore, a different data storage method, aside from EDR, is necessary, requiring significantly larger storage capacity. Specifically, while EDR aims to analyze and reconstruct the cause of an accident, DSSAD continuously stores various information related to autonomous driving, regardless of the accident, aiming to determine responsibility for autonomous driving. Hence, some argue that DSSAD and EDR should be considered separately. However, some argue that DSSAD incorporates the characteristics of a digital tachograph(DTG), which records data during the driving of an autonomous vehicle regardless of the occurrence of an accident, and therefore should not be subject to EDR functional requirements. Therefore, a growing view, particularly in North America, suggests that accident recorders for autonomous vehicles should be addressed under the concept of Event Data Recorders for Automated Driving (EDR-AD), rather than DSSAD. This is summarized below (Table 1).

Comparison of DSSAD and EDR-AD

However, SAE J3197 designates DSSADs as “autonomous driving system data loggers” and specifies that their purpose is to reconstruct automobile accidents.10) This means that, in the absence of a human “driver,” the Automated Driving System(ADS) itself may serve as the sole witness to an accident, highlighting the need for ADS data recording to standardize information for accident reconstruction while supplementing the EDR defined in SAE J1698-1 to provide contextual understanding and judgment of the incident. Table 2 summarizes the standards and standards organizations related to EDR and DSSAD.11)

Status of EDR and DSSAD related standards

2.3 Status of DSSAD Standardization

In South Korea, the Autonomous Vehicle Standardization Forum, hosted by the Korea Standards Association, was launched in 2019 with the core goal of “securing leadership in international standardization to become a global leader in autonomous vehicles.”12) Six standardization subcommittees associated with autonomous driving technology, including a policy subcommittee, are currently in operation. Furthermore, in 2021, the Ministry of Trade, Industry and Energy(MOTIE), the Ministry of Science and ICT(MSIT), the Ministry of Land, Infrastructure and Transport(MOLIT), and the Korean National Police Agency(KNPA) are leading the Autonomous Driving Technology Development Innovation Project, aiming to complete “the foundation for commercialization of convergent Level 4 or higher autonomous vehicles by 2027.” Specifically, among these, the “Development of a DSSAD Computing Platform and Extraction and Analysis System” project is currently underway with three subprojects, and a cross-ministerial technical consultative body is being operated with participation from the MOTIE, the KNPA, and the MOLIT.

To achieve Level 4 autonomous driving capabilities and higher, vehicles must be able to exchange diverse information with surrounding vehicles, roads, and the environment. To this end, South Korea is building related infrastructure and conducting demonstration projects in various regions with the goal of developing a next-generation intelligent transportation system(C-ITS: Cooperative-Intelligent Transport System). The C-ITS is a technology that enables road components, such as vehicles, pedestrians, and road infrastructure, to exchange information through communication(V2X), and based on this, aims to improve the safety and convenience of roads and vehicles. The C-ITS requires developing an integrated control center for safe and efficient traffic operation and control, technologies for generating traffic information in shadow zones, and a real-time optimal signal operation system at the network level.13) In particular, the development of an integrated control center is necessary for safe and optimized autonomous driving operation management in a mixed autonomous driving environment. ISO stipulates the application of autonomous driving integrated traffic control big data systems and platforms, infrastructure-based sensor data, and integrated traffic information management technologies.14,15) Additionally, for autonomous driving Level 4 and above, accident records, vehicle sensors, Electronic Control Units(ECUs), and chassis control devices are monitored and recorded during autonomous driving, with necessary data transmitted and received via the cloud.

In South Korea, the Guarantee of Automobile Accident Compensation Act establishes the Autonomous Vehicle Accident Investigation Committee under MOLIT, Infrastructure and Transport, defines its duties, and outlines the obligations of stakeholders to investigate accidents involving autonomous vehicles currently in temporary operation and determine liability for damages. Here, various traffic information and infrastructure data necessary for autonomous vehicle operation are stored and managed on control servers within the control center. According to Article 33-15 of the Enforcement Decree of the Act on the Guarantee of Automobile Accident Compensation, recording and retaining autonomous driving information is required for a minimum of six months.16)


3. DSSAD Data Extraction Device

As previously discussed, DSSAD primarily aims to record continuous driving information of autonomous vehicles, but it is also required to function as an accident data recorder in the event of an accident. Although DSSAD has not yet been commercialized, there is a need for a driving data recorder that can store information such as the operation of autonomous driving functions and the transfer of control in vehicles equipped with advanced driver assistance systems (ADAS), and the existing EDR currently fulfills this role for accident investigations.

Recently, the U.S. National Highway Traffic Safety Administration(NHTSA) announced an amendment to 49 CFR Part 563, which expands the recording time of EDRs from 5 seconds to 20 seconds, increases the recording frequency from 2 Hz to 10 Hz, and requires more data necessary for accident analysis, including autonomous driving-related information.17) In South Korea, along with the U.S., regulations related to EDRs have been significantly strengthened,18) mandating the installation of EDRs and expanding recording items from 2025 onward, and allowing consumers to access data without going through the manufacturer.

Therefore, in the future, to analyze the causes of traffic accidents involving autonomous vehicles, it is necessary to establish relevant laws and regulations regarding the integrity of DSSAD data, extraction rights, storage, and analysis, as well as develop manuals and standards for smooth legal processing in the field. Nevertheless, it is expected that the main functions of the existing EDR data extraction device, such as ensuring data security, integrity, and neutrality, will remain unchanged.

EDR data extraction devices are composed of different proprietary systems depending on the manufacturer, using dedicated adapters, cables, and software to protect their technology and ensure the reliability of the data (Table 3). However, the data protocols and interfaces, as well as the functional requirements related to operation, necessary to ensure the essential functions for extracting accident records, are commonly applied to comply with domestic and international laws and regulations and international standards. Therefore, this study reviewed the functional requirements of the DSSAD data extraction device based on products currently used as EDR data extraction devices (Fig. 1).

Comparison of conventional EDR data retrieval tools

Fig. 1

EDR data retrieval tools

3.1 Functional Requirements of the DSSAD Data Extraction Device

The data recorded in the DSSAD is expected to incorporate, in addition to the current EDR recording data, 13 types of autonomous driving accident-related information and vehicle driving-related information as defined in Article 111-3 of the “Regulations for Performance and Safety Standards of Motor Vehicle and Vehicle Parts.”19) Moreover, the data recording method of the DSSAD was assumed to comply with Article 56-2, Paragraph 2[Appendix 5-25] of the Standards for Installation of Event Data Recorders,20) including the recording method of other additional data stored in the EDR, and record at a frequency of 2 Hz to 100 Hz.

The functional requirements of the DSSAD data extraction device considered in this study are defined as follows:

  • ⋅ Software Requirements
  • ⋅ Software Installation and Upgrade
  • ⋅ Connection Configuration and Communication
  • ⋅ Power Supply and Data Extraction Method
  • ⋅ Connector Specifications(Legacy Product Compatibility)
  • ⋅ Fault(Error) Display and Verification Method

3.2 SAE J1698

SAE J1698 is a standard that defines the definition and functional elements of EDRs. It covers the following three sub-standards (Table 4).4) Among these, the standard related to EDR data extraction devices is SAE J1698-2, which utilizes existing industry standards to identify common physical interfaces and defines the protocols necessary to retrieve records stored in the EDR.

SAE J1698 series

The SAE J1698-2, revised in July 2023, clearly reflects the latest industry standards, defining how data extraction devices image, convert, and report accident record data, and also includes updates to protocols and physical interfaces. Furthermore, while the previous version provided general requirements for data extraction devices, the revised version specifically stipulates how data should be extracted, translated, and reported, resulting in stricter standardization and improved compatibility (Table 5).5)

SAE J1698-2 overall changes

3.3 UNECE, IEEE Standard Trends

In 2021, UNECE's WP.29 enacted UN R160, a regulation related to vehicles and EDRs. The UN R160 defined specific data collection and implementation requirements for EDRs,21) and accordingly, in 2022, the EU approved new legislation mandating the installation of EDRs in all vehicles in categories M and N(passenger cars and trucks), which has been applied to all new vehicles since July 2024. However, the format and method of data extraction devices are left to the laws and manufacturers of each country.

Recently, the standardization of Motor Vehicle Event Data Recorders(MVEDR) and DSSAD has been based on IEEE 161622) and SAE J3197 individually, but the standardization trend of autonomous driving technology is increasingly relying on the DSSAD Guidance23) of UN R157 ALKS(Automated Lane Keeping Systems). IEEE 1616 defines the compatibility of MVEDR output data and the output protocol of data elements, but it does not specify the data elements to be recorded, only specifying the data attributes. Table 6 synthesizes recent international standards related to MVEDR by the standards organization(Table 6).

Global standards related MVEDR

3.4 Trends in Cybersecurity Standards

Cybersecurity standards related to EDR and DSSAD establish systematic criteria to prevent unauthorized access and tampering with vehicle data. UN R155 mandates a Cyber Security Management System (CSMS) for the entire vehicle,24) while UN R156 specifies the safety and integrity of software updates.25) Furthermore, ISO/SAE 21434 requires that vehicle cybersecurity be considered from the design stage,26) and EDR and DSSAD are also included in this category. Notably, IEEE 1616.1:2023 outlines the inclusion of security features, such as NFC authentication, port locking, and access logs, in DSSAD data extraction devices.27) The following table details this(Table 7).

Global standards regarding cyber security


4. Standardization of DSSAD Data Extraction Devices

4.1 Data Protocol

The data protocol of data extraction devices is expanding from the existing EDR-centric approach to one focused on DSSAD and ADS Levels 3-5, and there is an increasing use of event-based timestamp recording and structured formats in JSON/XML format. Technically, in addition to OBD-II, various interfaces, such as Ethernet and wireless communication, are being introduced, along with diagnostic/extraction protocols based on UDS(Unified Diagnostic Services, ISO 14229), Diagnostic communication over Internet Protocol (DoIP, ISO 13400), and Open diagnostic data exchange (ODX, ISO 22901).28-30) In terms of authentication and security, NFC(Near Field Communication), PKI(Public Key Infrastructure)-based access authentication, OBD locking, and data transmission log management are being strengthened.

Current standards include IEEE 1616/1616.1, which defines the storage method and authentication requirements for DSSADs, SAE J1698-2, which provides the EDR extraction protocol, and ISO 22900/22901, which provides the structure of data extraction messages.31) These standards are evolving to include OTA-based data access and remote auditing capabilities in the future(Table 8).

DSSAD data protocol trend

The following is a proposed standard based on SAE J1698 for items related to the data protocol, considering different technological and standardization trends.

⋅ Data Security

All data extracted and stored from the DSSAD through the data extraction device must be authenticated and encrypted according to the CCM (counter with cipher block chaining-message authentication code) mode of NIST SP 800-38C32) or an equivalent publicly available authentication and encryption standard.

⋅ Data Integrity

- To ensure that the DSSAD record can be consistently imaged through the data extraction device, the data extraction device must automatically image the DSSAD record at least three times and verify that the imaged records are identical.

- To ensure that the imaged record is identical to the DSSAD record, the data extraction device must ensure data integrity using a message authentication code(MAC) or an equivalent algorithm.

- If the DSSAD records are not identical, the extraction device must display a message to the user indicating the occurrence of an error and describing the nature of the error. If an error is detected, the data extraction device should not store or convert the DSSAD record.

⋅ Data Neutrality

The data extraction device should request data in a manner that is as forensically neutral as possible.

4.2 Interface Function of the Data Extraction Device

The interface function of the DSSAD data extraction device aims for safe and standardized data access from outside the vehicle. The UNECE DSSAD Guidance stipulates that it should use open standard interfaces such as OBD-II or Ethernet, and that it should be readable by anyone through an authenticated procedure.33) The IEEE 1616.1:2023 standard emphasizes the introduction of NFC and PKI-based Secure Access Layer, and a design that allows access even in offline conditions.

Furthermore, the ODX message structure based on ISO 22900/22901 and the UDS protocol(ISO 14229) have been adopted as data extraction communication standards, whereby DSSAD data is defined as timestamped, event-driven flag data rather than simple logs, necessitating time synchronization and structured response formats such as JSON or XML.

The following is a standard proposal for items related to the interface of the data extraction device based on SAE J1698, based on these technological and standard trends.

⋅ On-board Data Extraction

Information recorded in the DSSAD must be extractable via standardized communication interfaces such as the SAE J1962 diagnostic connector,34) and extraction devices must accommodate manufacturers’ arbitrary use of pins on the SAE J1962 connector, which arise due to unique vehicle-specific pin layouts and electrical architectures; furthermore, on-board data extraction assumes the DSSAD is powered by the vehicle.

⋅ Off-board Data Extraction

If data extraction from the vehicle is impossible due to an accident, the DSSAD should be removable from the vehicle for data extraction. Hence, in this case, the extraction device must be able to supply sufficient power to the DSSAD. A special interface adapter may be used for direct communication with the DSSAD or ECUs that contain some of the data necessary for analyzing the cause of an autonomous vehicle accident.

⋅ Incident Analysis System Data Transmission

A security system is required to support wired/wireless communication interfaces and establish an authentication procedure for the extraction device(terminal) in order to directly transmit DSSAD data from the extraction device to the incident analysis system.

Data and imaged records extracted from the DSSAD by the data extraction device must be tamper-proof and protected against unauthorized access. De-identification and transformation through a dedicated encryption algorithm are required. The de-identified data should only be decryptable by authorized users, such as operators of the incident analysis system.

A mutual authentication system based on domestic and international standards must be established to issue and manage separate certificates for data extraction devices. To block network access by unauthorized devices, access must be granted only to authorized users and extraction devices (terminals) by verifying the status of network devices, extraction devices(terminals), and user IDs.

4.3 Operation of the Data Extraction Device

The operation of the DSSAD data extraction device focuses on ensuring security and reliability. The UNECE DSSAD Guidance mandates a data extraction device that can operate even when the vehicle’s power is off and stipulates the provision of accurate timestamps and machine-readable formats(e.g., JSON/XML). IEEE 1616.1-2023 defines the detailed functional requirements of data extraction devices, encompassing NFC/PKI-based secure access authentication, chain-of-custody log recording, and interoperability with over-the-air(OTA) systems.

ISO 22901(ODX) defines standardized structures for data request and response messages to ensure interoperability among data extraction devices, while SAE J1698-2 considers the potential integration or separation of existing EDR and DSSAD data extraction methods. Therefore, DSSAD data extraction devices are evolving toward functionalities centered on multi-channel interfaces, secure authentication procedures, structured messaging, and data extraction capabilities designed to support legal compliance.

The following is a proposed standard based on SAE J1698 for items related to the operation of the data extraction device proposed in this study, based on these technological and standardization trends.

⋅ Hardware

The extraction device includes an interface tool, cables, adapters, and a power supply unit capable of extracting DSSAD records.

The extraction device must be able to extract DSSAD data and imaged records in on-board and off-board states.

The extraction device must support protocols and physical interfaces capable of communicating with the DSSAD.

⋅ Software

The software must be able to monitor and download data stored in the DSSAD and read or image the downloaded data.

It must also be compatible with the hardware components of the extraction device. Lastly, the software must be updatable.


5. Conclusion

While DSSAD is currently only mandated in a few countries, specific regulatory measures for implementing autonomous driving are being applied globally. For instance, UNECE's UN R157, which addresses Automated Lane Keeping Systems(ALKS), mandates DSSAD in vehicles equipped with ALKS to monitor changes in the state of the autonomous driving system. It particularly stipulates that all vehicles equipped with ALKS must meet the DSSAD requirements, and manufacturers must demonstrate the technical details as part of the ALKS evaluation. Therefore, once the standard is finalized and implemented, it is expected to apply to all ALKS products in all member countries, including South Korea.

This study explained the standardization trends of DSSAD data extraction devices in relation to EDR and proposed functional requirements for DSSAD data extraction devices to extract information related to autonomous vehicle accident records based on the SAE J1698 standard. The proposed contents cover the data protocol and interface functions of the DSSAD data extraction device, along with the functional requirements necessary for its operation, and are aligned with the latest technologies, international standards(e.g., SAE, ISO, UNR, and IEEE), and common practices to facilitate their application in developing future domestic standards.

Acknowledgments

This work was supported by the research grant from Daegu Catholic University in 2023.

References

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Fig. 1

Fig. 1
EDR data retrieval tools

Table 1

Comparison of DSSAD and EDR-AD

DSSAD EDR-AD
Main function Determine automated driving status Record crash-related data
Recorded data Automated driving data Pre-crash and crash data
Recording condition Engagement of ADS Significant crash event
Regulation UNECE Regualtion No.157 U.S. Federal regulations
Target vehicle Automated vehicles All light-duty vehicles

Table 2

Status of EDR and DSSAD related standards

Standard Name Revision year Organization
EDR UN R
No. 160
Event Data Recorder(EDR) 2021 GRVA DSSAD/EDR
IEEE 1616 IEEE Standard for motor vehicle event data recorder 2021 IEEE VT/ITS
SAE
J1698
Event data recorder 2023 SAE
SAE
J1698/1
Event data recorder – output data definition 2023 SAE
SAE
J1698/2
Retrieval tool protocol 2023 SAE
SAE
J1698/3
Compliance assessment 2020 SAE
DSSAD UN R
No. 157
Uniform provisions concerning the approval of vehicles with regard to automated lane keeping systems/Chapter 8 2021 GRVA DSSAD/EDR
SAE
J3197
Automated driving system data logger 2021 SAE

Table 3

Comparison of conventional EDR data retrieval tools

Supplier Features
Bosch Crash Data Retrieval(CDR) CAN + proprietary adapter FlexRay (CDR900)
Tesla Remote data recovery API (fleet-level) OBD-II
Hyundai DTC & EDR retrieval is provided based on ISO 22901, requiring dedicated software FlexRay(VCI-II)
GM, Toyota USB based retrieval kit

Table 4

SAE J1698 series

Standard Name
SAE J1698-1 Event data recorder - output data definition
SAE J1698-2 Event data recorder - retrieval tool protocol
SAE J1698-3 Event data recorder - compliance assessment

Table 5

SAE J1698-2 overall changes

Content J1698-2, 2013 J1698-2, 2023
Retrieval flow Simple connection → retrieval Imaging → decoding → reporting
Data format Raw or vendor proprietary type Standard structure (JSON/XML/CSV), J1698-1 based elements
Error handling system Basic failure handling or retry Includes step-by-step error codes, integrity verification, and an error section report
Compatibility & Standardization Potential vendor lock-in Unified tool procedure standardization
User Focused on manufacturers and research institutes Expanding to include retrieval tool developers, reporters, and forensic experts.

Table 6

Global standards related MVEDR

Organization Standard Content
IEEE IEEE 1616/1616.1 EDR, DSSAD functional definition, storage data structure, security requirements
ISO ISO 22900 ~ 22901(MVCI, ODX) Data extraction message structure, diagnostic access definition
UNECE
(WP.29)
UN R160(EDR), DSSAD Guidance, ALKS Reg. Regulatory formats, timestamp accuracy, retention periods, and interface requirements
SAE SAE J1698-2(EDR tool protocol) CAN-based data extraction format/protocol

Table 7

Global standards regarding cyber security

Standard Application Requirements EDR/DSSAD relevance
UNECE R155 CSMS CSMS implementation, threat analysis, and unauthorized access prevention Full vehicle system management including EDR/DSSAD
UNECE R156 SW update SW integrity, secure OTA updates, and authentication procedures DSSAD/EDR Software Update Protection
ISO/SAE 21434 Cybersecurity design for automotive electronics/software Security design, threat modeling, and risk assessment Security design guidelines for electronic systems
IEEE 1616.1-2023 Data storage and access security in DSSAD/EDR OBD lock, NFC authentication, CoC record EDR/DSSAD Retrieval and storage access security definition

Table 8

DSSAD data protocol trend

Content Technical trend Standard trend
Data storage structure Time + State based events ISO/IEEE-based message structure(JSON, XML, etc.)
Security and Authentication NFC, PKI, HSM Increasing certification requirements(including UNECE and ISO)
Retrieval method Offline + OTA Expanding ISO/IEEE specifications to allow interfaces other than OBD-II
Access Contactless/NFC authentication, OTA access Access log, ensuring verifiability(requires audit trail)