Shared Vehicle Matching Using Driver Safety Scoring
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Solution Overview
Problem
Existing shared vehicle services face challenges in efficiently matching drivers with vehicles due to a lack of data about drivers and vehicles, particularly for new drivers, which hampers safety and cost-effectiveness.
Innovation Solution
A computing platform that collects and manages data on drivers and vehicles to estimate driver safety scores and vehicle safety and repair costs, ranking vehicles based on these factors and dynamic conditions to provide a user interface for optimal matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If driver-vehicle matching is performed without sufficient driver data, then service availability is maintained, but safety and cost-effectiveness deteriorate
Solution Approach 1:
The system performs preliminary actions by collecting and analyzing driver data before matching occurs. Web browsing information is gathered and processed in advance to estimate driver characteristics and safety scores, ensuring that safety assessments are ready when vehicle matching is needed, thus preventing safety deterioration due to data scarcity.
Solution Approach 2:
The patent introduces web browsing information as an intermediary data source to bridge the gap when traditional driver data is insufficient. This intermediary information serves as a proxy to estimate driver characteristics and safety scores, enabling reliable matching decisions even when direct driver data is unavailable or limited.
2Measurement precision
If comprehensive driver data collection is implemented, then driver safety score accuracy is improved, but system complexity increases
Solution Approach 1:
The system creates a simplified copy or representation of driver safety characteristics by using web browsing information to estimate driver profiles. Instead of collecting and processing all possible driver data, the system generates an estimated driver safety score based on readily available browsing data, reducing complexity while maintaining acceptable accuracy.
Solution Approach 2:
The patent changes the parameters used for driver assessment by shifting from traditional driver data to web browsing information. This parameter substitution allows the system to estimate driver safety scores using alternative data sources that are easier to collect and process, thereby reducing system complexity while improving measurement precision.
3Productivity
If driver safety scoring system is implemented, then vehicle matching quality is improved, but processing time increases
Solution Approach 1:
The system performs preliminary processing of web browsing information to pre-calculate driver safety scores before vehicle matching is requested. By having driver safety assessments ready in advance, the system reduces the time required for actual vehicle matching, thus improving productivity without significant time loss.
Solution Approach 2:
The system enables self-service by automatically collecting and processing driver data without requiring manual intervention. Web browsing information is gathered and analyzed automatically to generate driver safety scores, reducing the time and resources needed for manual data processing while maintaining high matching quality.
Data Source
AI summary
A system may receive information indicating a driver requesting a shared vehicle, estimate, based on web browsing information associated with the driver, one or more characteristics of the driver, determine, based on the characteristics of the driver, a driver safety score indicating an estimated risk of an accident involving the driver, select, from a plurality of available vehicles, a subset of the plurality of available vehicles based on the driver safety score, and cause the display of a user interface offering the subset of the plurality of available vehicles to the driver.