Unified Environmental Perception Model for Vehicular Traffic Prediction
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Solution Overview
Problem
Current vehicular communication systems face challenges in predicting traffic situations and managing radio resources effectively, particularly in shared wireless environments, leading to inefficiencies in communication quality and resource allocation.
Innovation Solution
The method involves generating a combined environmental perception model from multiple road users and infrastructure entities to predict traffic situations, allowing for pre-allocation of radio resources and clustering of road users, thereby optimizing communication links and quality of service.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple environmental perception models from multiple road users are combined to improve prediction accuracy, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent combines multiple environmental perception models from different road users into a single unified model. This merging process integrates data from multiple sources (sensors, cameras, radar from various vehicles) to create a comprehensive view of the traffic situation, thereby improving prediction accuracy while managing system complexity through standardized integration protocols
Solution Approach 2:
The unified environmental perception model serves multiple functions: it processes data from different types of sensors, handles various traffic scenarios, and provides predictions for multiple road users simultaneously. This multi-functionality allows the system to maintain high prediction accuracy across diverse situations without requiring separate specialized models for each function
2Productivity
If radio resources are pre-allocated based on predicted traffic situations, then productivity improves, but device complexity increases
Solution Approach 1:
The system performs preliminary actions by predicting future traffic situations before they occur and pre-allocating radio resources accordingly. Based on the unified environmental perception model's predictions about upcoming traffic events, the system proactively reserves communication resources, avoiding the need for reactive resource requests and reducing latency in critical communications
Solution Approach 2:
The resource allocation system is designed to be dynamic, continuously adjusting resource distribution based on predicted traffic situations. As the unified perception model generates updated predictions about changing traffic conditions, the resource management system dynamically reallocates radio resources to match current needs, maintaining optimal efficiency without requiring manual intervention
Data Source
AI summary
An apparatus, a method, and a computer program for determining traffic situations and predicting connected services between road users and the communication quality of services between the road users. The method includes obtaining environmental perception models from road users and from road-side infrastructure entities; generating a combined environmental perception model for a pre-defined area based on environmental perception models, wherein the environmental perception models are fused within the combined environmental perception model; and predicting traffic situations within the pre-defined area over points in time in the future based on the combined environmental perception model.