Collaborative Road Sensing for Unsafe Driving Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems lack effective monitoring and management of highway traffic safety, with inadequate detection of unsafe driving behaviors and inefficient response to traffic incidents.
Innovation Solution
A road intelligence network utilizing a combination of sensor infrastructure, cameras, and beacon devices for collaborative sensing and relative positioning, enabling real-time monitoring of vehicle movements and detection of unsafe driving behaviors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional traffic monitoring systems are used, then infrastructure cost is reduced, but detection capability and response efficiency to unsafe driving behaviors deteriorate
Solution Approach 1:
The patent combines multiple sensing modalities (cameras, LIDAR, radar, beacon devices) into an integrated road intelligence network. This merging of different sensor types and data sources enables comprehensive detection of unsafe driving behaviors while distributing system complexity across multiple coordinated components rather than requiring a single complex system.
Solution Approach 2:
The road intelligence network is designed to perform multiple functions simultaneously: detecting unsafe driving behaviors, providing real-time mapping information, tracking vehicle movements, and generating remediation messages. This multi-functionality approach improves detection capability without proportionally increasing device complexity, as the same infrastructure serves multiple safety and monitoring purposes.
2Productivity
If real-time monitoring of all vehicles is implemented, then traffic safety management is improved, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary processing by having vehicles continuously transmit beacon signals and sensor data that are pre-processed and stored in real-time mapping databases. When unsafe behaviors are detected, the system can quickly query pre-existing data rather than processing raw sensor data from scratch, significantly reducing response time while maintaining comprehensive monitoring capabilities.
Solution Approach 2:
The patent implements localized processing where road side units and regional servers handle data processing for specific geographic areas. This distributed architecture processes only the data relevant to each location rather than centralizing all data processing, reducing computational time and enabling parallel processing across multiple regions simultaneously.
3Measurement precision
If comprehensive sensor deployment is used, then detection accuracy is improved, but infrastructure cost and deployment complexity increase
Solution Approach 1:
The road intelligence network is divided into segmented components: vehicle-mounted sensors, roadside beacon devices, regional processing servers, and centralized management systems. This segmentation allows for phased deployment where different regions can implement the system at different paces, reducing overall deployment complexity while maintaining high detection accuracy through the coordinated network of specialized components.
Data Source
AI summary
Systems and techniques are provided for a road intelligence network for improved road safety, traffic management, and/or driver monitoring. The road intelligence network can use monitoring information comprising image data of vehicles on a roadway, or can use monitoring information comprising relative position and distance information for vehicles on the roadway determined using a network of beacon transmitters and receivers. Real-time mapping information indicative of vehicle movement and trajectory can be determined from the monitoring information and correlated to specific vehicles to detect unsafe or undesired driving behaviors, which may be further based on comparisons with historical mapping information of the roadway or for particular vehicles, or baseline driving characteristics of neighboring vehicles. Remediation messages and actions can be transmitted to a mobile application on a user device of a driver, in response to detection of the unsafe driving behavior.