Overview
ISO/TR 22087:2025 - Intelligent transport systems defines a common description of the Driving Behaviour Information Set (DBIS) and procedures for exchanging DBIS between distributed ITS stations using nomadic devices. The Technical Report specifies the DBIS data structure and sharing workflows so that vehicles and ITS infrastructure (vehicle ITS stations, roadside ITS stations, cloud ITS stations and personal ITS stations) can collect, share and use egocentric driving behaviour information for safer, predictive driving.
Key topics and technical requirements
- Scope and terminology: clear definitions for key actors and components - nomadic device (ND), V-ITS-S (vehicle ITS station), R-ITS-S (roadside ITS station), C-ITS-S (cloud ITS station), P-ITS-S (personal ITS station).
- DBIS structure: DBIS is partitioned into
- Driver’s intention (longitudinal and lateral intent; driver state/attention),
- Vehicle status (speed, distance to other vehicles, vehicle type, precise vehicle location),
- Road-environment information (traffic properties, additional road properties),
- Egocentric surrounding objects (local perception of adjacent actors).
- Data exchange procedures: guidance on collection and sharing of DBIS among neighboring ITS stations and with cloud ITS using nomadic connectivity (cellular, Wi‑Fi, short-range links).
- Use cases and principles: structured use-case clusters including collective perception (e.g., sharing lane-change intention, cut-in/cut-out detection) and learning to predict and assess collision risk (collision prediction for sudden lane entries, speed-up collision awareness, mass deceleration scenarios).
- Functional components: components for intention collection, vehicle/road collectors and communication protocols for DBIS dissemination.
Practical applications and who uses it
ISO/TR 22087:2025 enables practical capabilities in:
- Autonomous driving and ADAS: improving prediction of other agents’ behaviour and enabling safer lane changes, cut-in detection and collision risk assessment.
- V2X and nomadic-device integration: standardizing how smartphones, telematics units and vehicle gateways share behavioural data with nearby ITS stations and cloud services.
- AI training and collective perception: providing a harmonized DBIS for machine learning models to learn driving patterns and assess risk.
- Traffic management and road safety analytics: feeding cloud ITS and roadside systems with standardized behaviour data.
Primary users:
- Automotive OEMs and Tier‑1 suppliers, ADAS/ADS software developers, telematics and connectivity providers, transport authorities, ITS integrators and researchers.
Related standards
- Prepared by ISO/TC 204 (Intelligent transport systems). Implementers should align DBIS exchange with other ITS communication and station‑architecture standards from ISO/TC 204 and applicable national V2X regulations and protocols.