V2X Traffic Insight via Edge Computing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current vehicle communication systems, such as V2V, are limited in providing comprehensive insights to drivers about traffic situations beyond surrounding vehicles, necessitating a more advanced system that can communicate and analyze data across a broader range, including road-side sensors and edge computing.
Innovation Solution
The system utilizes Basic Safety Messages (BSM) transmitted from on-road vehicles to a Multi-Access Edge Computing (MEC) server, extracting and analyzing data samples to generate statistical results, which are then visualized for drivers, incorporating road-side units and cellular networks to convey traffic situation insights with a pre-determined confidence level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If V2V communication systems are used to provide traffic information to drivers, then drivers can receive information about surrounding vehicles, but the system cannot provide comprehensive insights about traffic situations beyond immediate vehicle proximity
Solution Approach 1:
The patent introduces road-side units (RSUs) and multi-access edge computing (MEC) servers as intermediary components between vehicles and drivers. These intermediaries collect, aggregate, and analyze traffic data from multiple sources including V2V messages and road-side sensors, then provide comprehensive traffic situation insights to drivers. This mediator approach extends the effective communication range and information availability beyond what direct V2V communication can achieve.
2Loss of information
If more vehicles and road-side sensors are integrated into the communication network, then traffic situation awareness is improved, but system complexity increases
Solution Approach 1:
The patent segments the traffic information system into distinct functional modules: vehicles generate and transmit basic safety messages (BSMs), road-side sensors collect environmental data, road-side units aggregate and forward data, and MEC servers perform statistical analysis. This segmentation allows each component to perform its specific function independently, managing overall system complexity while achieving comprehensive traffic situation awareness through coordinated operation of simplified individual elements.
3Measurement precision
If statistical analysis of spatial-temporal data is performed to provide confident traffic insights, then accuracy of traffic situation prediction is improved, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary statistical analysis and computation at the edge computing servers located near the road-side units, rather than waiting to process all data centrally or in real-time at the vehicle. By conducting spatial-temporal statistical computations in advance at the edge, the system prepares traffic situation insights with confidence levels before they are needed by drivers, reducing the perceived processing time while maintaining analytical accuracy.
Data Source
AI summary
A method of utilizing basic safety messages (BSMs) to provide insight of traffic situations to a vehicle-to-everything (V2X) enabled vehicle includes one or more of the following: transmitting BSMs from on-road vehicles; forwarding V2X messages including BSMs to a multi-access edge computing (MEC) server; extracting data samples from the V2X messages including BSMs; generating statistical results from the extracted data samples; and visualizing the statistical results for a driver of the vehicle.