Reconfigurable Roadside Network for Automated Driving Visibility
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Solution Overview
Problem
Existing vehicular communication systems, such as DSRC and sidelink cellular-based V2X, have limited visibility range and do not provide a suitable solution for highly dependable communication of environment data required for automated driving, as they rely on ad-hoc networks and are not designed to dynamically adapt to changing road scenarios.
Innovation Solution
A reconfigurable roadside network that optimizes key performance indicators (KPIs) by dividing the road into overlapping sectors, using IoT devices and sensors to provide vehicles with data, and dynamically reconfiguring communication and sensing regions based on traffic scenarios to extend visibility range and ensure reliable communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If DSRC or sidelink cellular-based V2X communication systems are used, then vehicle-to-vehicle and infrastructure-to-vehicle communication is enabled, but the visibility range is limited and dependability for automated driving cannot be guaranteed
Solution Approach 1:
The system divides the road into multiple overlapping sectors, each monitored by dedicated roadside sensors and processing units. This segmentation allows each sector to independently provide reliable communication coverage, ensuring that vehicles within any sector receive dependable environment data from multiple redundant sources, thereby guaranteeing communication dependability while extending overall visibility range.
Solution Approach 2:
Roadside units with sensors and processing capabilities are introduced as intermediary elements between vehicles and the communication network. These intermediaries collect environment data directly at strategic locations and transmit it to vehicles, extending the visibility range beyond what onboard sensors can achieve while maintaining high dependability through dedicated infrastructure.
2Length of stationary object
If ad-hoc networks are used for environment data collection, then communication flexibility is provided, but visibility range extension and dependability requirements cannot be met
Solution Approach 1:
The road is divided into overlapping sectors with dedicated sensing and communication resources in each sector. This segmentation creates multiple redundant paths for environment data transmission, ensuring that even if some communication links fail, vehicles continue to receive reliable data from other sectors, thereby meeting dependability requirements while extending visibility range.
Solution Approach 2:
The system dynamically adjusts communication parameters such as transmission power, data rate, and sector configuration based on traffic density and environmental conditions. This allows the network to optimize between visibility range extension and communication dependability, adapting to different scenarios to maintain reliable operation.
3Reliability
If static roadside networks are deployed, then infrastructure for environment data collection is established, but dynamic adaptation to changing traffic scenarios is not possible
Solution Approach 1:
The roadside network is designed with dynamic reconfiguration capabilities, allowing sectors to be created, merged, or adjusted based on real-time traffic scenarios. Processing units can dynamically allocate resources and adjust communication parameters to adapt to changing traffic conditions, maintaining communication reliability while providing versatility in different operational scenarios.
Solution Approach 2:
The system continuously monitors traffic density, vehicle positions, and environmental conditions, using this feedback to dynamically adjust sector configurations and resource allocation. This feedback mechanism enables the network to adapt to changing traffic scenarios while maintaining reliable communication, as the system responds to actual conditions rather than operating with fixed parameters.
4Length of stationary object
If overlapping sectors are implemented, then visibility range is extended beyond onboard sensors, but network complexity increases
Solution Approach 1:
The road is divided into overlapping sectors with dedicated sensing and communication resources in each sector. This segmentation approach extends visibility range by creating multiple coverage zones, while the modular sector structure makes the overall system more manageable and easier to configure compared to a fully integrated complex network.
Solution Approach 2:
Each sector is configured with specific sensing and communication resources tailored to its local requirements and traffic patterns. This local quality approach allows optimization of each sector independently, reducing overall network complexity by avoiding the need for uniform configuration across the entire network while still achieving extended visibility range through the overlapping sector architecture.
Data Source
AI summary
Various systems and methods for a roadside network. The roadside network includes one or more processors to receive gather traffic data from a first set and a second set of sensors associated with a first sector and second sector, respectfully. A minimum forward visibility range is determined. Portions of the sectors overlap to provide the minimum forward visibility range. Processed traffic data is generated based on the traffic data for both sectors. The processed traffic data is then sent to antennas to be transmitted to the respective sector.