Vehicle Incident Analytics Using ADAS Data and Location Patterns
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing road systems lack effective methods to identify and address minor traffic incidents and potential safety hazards that are not reported by drivers, leading to inadequate knowledge of accident-prone locations and inefficient remedial efforts.
Innovation Solution
Collecting and analyzing data from advanced driver assistance systems (ADAS) in vehicles to detect minor incidents such as sharp braking, swerving, and collisions, and aggregating this data with location information to identify frequent problem areas, enabling authorities to take preventive measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data is only compiled from easily identifiable and well-documented events, then analysis accuracy is improved, but incident detection coverage deteriorates
Solution Approach 1:
The patent introduces an intermediary system consisting of vehicle-mounted sensors and communication devices that act as mediators between actual incidents and the central server. This intermediary network captures incident data directly from vehicles and transmits it to the server, enabling detection of minor incidents that would otherwise go unreported, thus resolving the contradiction between measurement precision and information coverage
Solution Approach 2:
The patent replaces the traditional mechanical reporting system (where drivers manually report incidents) with an automated electronic data collection system. Sensors in vehicles automatically detect incidents and transmit data electronically to the server, eliminating the need for manual intervention and ensuring that even minor incidents are captured and analyzed, thereby improving both coverage and accuracy
2Productivity
If remedial efforts are focused only at known locations of serious accidents, then resource allocation efficiency is improved, but safety coverage deteriorates
Solution Approach 1:
The patent implements preliminary action by using the server to analyze incident data and proactively identify potential problem locations before serious accidents occur. The system aggregates incident data, detects patterns, and alerts authorities to areas that may require preventive measures, enabling remedial efforts to be deployed before incidents escalate, thus improving both safety coverage and resource allocation efficiency
Solution Approach 2:
The patent establishes a feedback loop where incident data from vehicles is continuously transmitted to the server, analyzed for patterns, and used to generate alerts and recommendations for authorities. This feedback mechanism ensures that resource allocation is dynamically adjusted based on actual incident patterns, improving both the efficiency of resource deployment and the overall safety coverage of the road system
Data Source
AI summary
Various systems and methods for collecting and generating analytics of data from motor vehicle safety and operation systems are disclosed herein. In one example, various minor vehicle incidents and events such as hard braking, swerving, deceleration, are tracked and correlated to geographic locations. Event data for these incidents may be collected, aggregated, anonymized, and electronically communicated to a processing system for further analysis and identification of problematic roadway and traffic conditions.