Carpool Driver Selection Using Vehicle Sensor Risk Analysis
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Solution Overview
Problem
Ad-hoc carpooling groups often neglect safety and efficiency, as individuals form carpools without considering factors such as safe driving behaviors or vehicle safety.
Innovation Solution
A computer-implemented method and system that classify vehicle operators into carpooling groups based on routes, analyze vehicle sensor data to identify safe driving behaviors, and select the safest driver for the group, ensuring passengers are assigned to the safest vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If ad-hoc carpooling groups are formed without considering safety factors, then ease of forming carpools is improved, but carpool safety deteriorates
Solution Approach 1:
The system performs preliminary classification of vehicle operators into risk groups based on their driving behaviors before carpool formation. By pre-analyzing sensor data and establishing safety categories, the system ensures that when carpools are formed ad-hoc, the safety matching has already been prepared, thus maintaining both ease of formation and safety.
Solution Approach 2:
The patent introduces a computer system as an intermediary that automatically matches drivers and passengers based on risk group compatibility. This intermediary handles the complex safety assessment and matching process, allowing users to form carpools easily while the system ensures safety requirements are met through automated risk group matching.
2Reliability
If vehicle sensor data is analyzed to identify safe driving behaviors, then carpool safety is improved, but system complexity increases
Solution Approach 1:
The system enables vehicles to self-report their sensor data and driving behavior patterns automatically. Each vehicle operator's data is collected and analyzed without requiring manual input, and the risk group classification is assigned automatically. This self-service approach reduces the complexity burden on users while maintaining comprehensive safety analysis.
Solution Approach 2:
The patent transforms complex sensor data into simplified risk group parameters. Instead of analyzing raw sensor data for every carpool matching decision, the system converts driving behaviors into discrete risk group categories (e.g., low risk, medium risk, high risk). This parameter transformation simplifies subsequent matching operations while preserving safety information.
3Reliability
If risk group matching is implemented for carpool formation, then carpool safety is improved, but time required for carpool formation increases
Solution Approach 1:
The system performs risk group classification and safety assessments in advance, before actual carpool formation occurs. By pre-categorizing vehicle operators into risk groups based on their driving histories and sensor data, the system eliminates the need for time-consuming safety evaluations during the carpool matching process, thus reducing formation time while maintaining safety standards.
Solution Approach 2:
The system creates simplified risk group profiles that capture essential safety information without requiring full detailed analysis during matching. These risk group copies allow for rapid comparison and matching decisions while preserving the core safety characteristics needed for safe carpool formation.
Data Source
AI summary
Systems and methods of efficient carpooling based on driver risk groups are provided. Vehicle operators may be classified into a carpooling group based on vehicle routes associated with each of the vehicle operators. Vehicle sensor data associated with each vehicle operator of the carpooling group may be analyzed. Based on the analysis of the vehicle sensor data, one or more indicia of safe driving behaviors associated with each vehicle operator of the carpooling group may be identified. The safe driving behaviors associated with each vehicle operator of the carpooling group may be compared. Based on the comparison, a vehicle operator of the carpooling group may be selected as a driver for a carpool. For example, the safest vehicle operator of the carpooling group may be selected as the driver for the carpool. The carpool may include one or more of the other vehicle operators of the carpooling group as passengers.