RELEASE DATE:2022-09-05 11:05
BriefThe EU officially published the new general safety regulation Regulation (EU) 2019/2144 (referred to as the new GSR) at the end of December 2019, the new GSR aims to enhance the protection of occupants of vehicles, vulnerable road users and reduce traffic accident rates and casualties. The new GSR requires the implementation of an Advanced Driver Distraction Warning System from July 6, 2024, when new models must be equipped with an ADDW system that complies with technical regulations. ADDW system should help drivers focus on driving tasks and warn them when they are distracted. While the EU has not released any ADDW regulations or drafts until July 2022 with the entry into force getting closer, the EU Commission released the latest research report for ADDW systems, laying the initial foundation for further regulations.

Based on the EU experts report, the previous article briefly introduced the ADDW system functions, related definitions, monitoring indicators, and criteria for system determination of distraction. This article will add additional technical requirements and assessment procedure requirements for the system.

The ADDW system monitors primarily driver eye movements, with head or facial movements as ancillary data. Since it is very common in reality that drivers wear sun visors, and hats or have long hair covering their faces, the panel also recommended that ADDW systems should perform properly in all of the following situations. The manufacturers also need to submit a technical report to prove the functions above.

Other functional requirements
When eyes, head, and face are covered (e.g. wearing sunglasses, hat or mask, etc.).
Different driving environments – motorway, rural, and urban roads.
Different lighting conditions in reality.
Any weather conditions and in direct sunlight.

Human Machine Interface (HMI) requirements
The HMI shall present a visual and auditory visual distraction alert.
The alert shall be representative of the level of visual distraction.
The driver shall be able to deactivate the alert.

There are few references to test the effectiveness of ADDW systems. From the review of national and international standards, only one test procedure, developed by NHTSA, was identified for testing the effectiveness of in-vehicle distraction monitoring systems.
The test needs to be conducted in a high-fidelity driving simulator, with simulated different roads type (e.g. urban, rural and motor-way) . Throughout the driving task, participants need to follow the guidelines to complete the three types of distraction tasks in different road types. However, due to the different parameters and sensitivity calculation used in the extant systems, there is no definite conclusion on the universal test parameters and acceptable sensitivity.
It is recommended that eye movement (eye tracking), driving performance and vehicle control data, independent of the system, are collected during the testing. This data will assist in the interpretation of the system’s data validation of the system.

Test conditionsTest content
To be specified
Road type (Driving task)
Facial obstructionDistraction task
  • Driving route requirements
  • Road infrastructure
  • Traffic flow

Eye obstruction
reaching task (Drivers need to reach to the back passenger side seat and follow a moving display with their finger.)
RuralHead obstruction
visual/manual task (Participants had to review and discern whether or not a target arrow pointed in a particular direction was present in a field of distracter arrows on a touch screen.)
MotorwayFacial obstruction
cognitive task (Drivers traversed an interactive voice response menu that required them to respond to prompts from the system based upon information.)

The EU experts will carry out a more specific definition of the ADDW system performance and technical requirements at the end of September.

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Faye Xue
Global Vehicle Regulation Research Department
Faye is a researcher in ATIC, graduated from Shenzhen University with a double degree in Electronic Science & Technology and Psychology Double Degree. She focuses on the tracking and research of EU new technology regulations, specializing in smart cockpit compliance solutions
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