IEEE ITSS/SC PAR

This standard specifies a representation of traffic scenarios for the training and validation of autonomous driving (AD) systems. The forms and features of this representation are described. The functions developed with such representation support a range of applications such as scenario extraction from road-test data, traffic simulations with naturalistic agent behavior, scenario generalization and optimization, and off-road scenario modeling.

• WG Chair: Dong Sun

This standard targets technical requirements for and testing of in-cabin sensing systems and the supporting communication networks for automated vehicles Level 3 and above.

• WG Chair: Hadj Hamma Tadjine.

This standard defines a unified reference architecture denoted as Autonomous Driving Architecture (ADA). This architecture orchestrates all platform layers and coordinates signals, data, activities, and processes in the vehicle, and in the edge and cloud infrastructure. Furthermore, the standard defines interfaces and models, as well as schemes for ADA validation, verification, and compliance assessment.

• WG Chair: Dong Sun

This standard specifies the requirements for reducing grain losses during bulk grain port operations, including the technical requirements for loading and unloading operations and transit warehousing operations. This standard is applicable to bulk grain port operations.

• WG Chair: Siyuan Tang

The scope is to establish a standard procedure for evaluating driving risks in SAE Level 1-3. This standard will serve as a benchmark for assessing and refining various approaches to behavior modeling and prediction, ultimately contributing to the safety and efficiency of intelligent transportation systems. The goal of this standard is to outline a comprehensive procedure for evaluating driving risks, serving as a critical reference for all stakeholders involved in the development, implementation, and assessment of intelligent transportation systems.

• WG Chair: Zirui Li

This standard builds on existing standards for systems interoperability and data exchange across different transport modes, sectors and countries along the supply chain. In addition, it enables to establish smart multimodal corridors that can withstand crises and ensure that safe and nutritious food is available to all during normal times and crises.

• WG Chair: Stefan Sauermann

This standards defines an autonomy system architecture for light-duty vehicles for personal use of drivers or passengers that are operating on public roads; and proposes guidelines on how these systems need to be designed and tested.

• WG Chair: Divya Garikapati

This standard specifies the technical and application requirements of large scale Artificial Intelligence (AI) models for rail transit, including the basic requirements of scenario application capability, performance, security, basic model capability, model service capability, and other dimensions. This standard provides guidance to rail transit companies, power generation enterprises, and power dispatching agencies to carry out capacity building, application and evaluation of services based on large scale AI models.

• WG Chair: Yuxin Cao

The standard develops a data structure for representing and storing accident data as applied to low-and middle-income countries (LMICs). The acquired data includes video images, audio streams, and vehicle data as well as other accident reports. This comprises the geospatial descriptions, the involved parties, the road infrastructure, the weather and road conditions, etc. whilst considering privacy and ethical concerns.

• WG Chair: Javier Ibanez-Guzman