Travel Route Generation Using Vehicle-Based Preference Screening
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Solution Overview
Problem
Existing travel route generation systems fail to provide personalized routes that cater to individual user preferences, which can vary significantly based on vehicle-related information and situational factors.
Innovation Solution
A travel route generation system that collects running location information and vehicle-related data, allowing users to input screening criteria, and generates recommended routes based on this information, utilizing past vehicle data to tailor routes to individual preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a travel route generation system provides generic routes based on common paths, then the system is simple and easy to implement, but it fails to provide personalized routes that cater to individual user preferences
Solution Approach 1:
The system pre-collects running location information and vehicle-related information from multiple vehicles during past travels and stores this data in advance. This preliminary data collection enables personalized route generation without requiring complex real-time data gathering, thus achieving personalization while controlling system complexity
Solution Approach 2:
The system uses collected vehicle-related information and running location information as feedback to generate recommended routes that match user preferences. The screening criteria based on vehicle-related information create a feedback loop that continuously improves route personalization accuracy
2Measurement precision
If the system collects and processes extensive vehicle-related information to achieve personalization, then route personalization improves, but information processing complexity and storage requirements increase
Solution Approach 1:
The system extracts only the necessary vehicle-related information (vehicle type, specifications, performance) from collected data and stores it in association with running location information. This selective extraction reduces data processing complexity while maintaining sufficient accuracy for route personalization
Solution Approach 2:
The system transforms collected vehicle data into standardized parameters and screening criteria that can be efficiently processed. By changing the form of vehicle-related information into structured parameters, the system achieves accurate route matching without proportionally increasing processing complexity
Data Source
AI summary
A travel route generation system includes: a first collector that collects running location information indicating running locations through which a plurality of vehicles have run; a second collector that collects vehicle-related information related to the plurality of vehicles; a memory that stores the vehicle-related information in association with the running location information; a criteria inputter that receives inputs of screening criteria including a criterion regarding the vehicle-related information; a processor that generates a recommended running route according to the screening criteria and based on the running location information and the vehicle-related information which are stored in the memory; and an outputter that outputs the recommended running route generated by the processor.