Route Optimization System for Traveler Profile Matching
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Solution Overview
Problem
Users face challenges in discovering optimal transport modes and routes, as existing travel-related mobile device applications do not effectively suggest efficient transport options that align with individual travel patterns.
Innovation Solution
A computer-implemented method that identifies traveler profiles, determines travel patterns through geographic tracking, and suggests users become drivers or passengers based on optimized route matching, using analytics to present suggestions for car hire services like Uber or Lyft, thereby reducing traffic congestion and costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing travel-related mobile device applications are used, then users can access basic route planning functions, but users face challenges in discovering optimal transport modes and routes that align with individual travel patterns
Solution Approach 1:
The system performs preliminary actions by proactively analyzing user travel patterns through geographic tracking and identifying compatible routes before users actively search for them. Traveler profiles are created and travel patterns are determined in advance, allowing the system to present optimized route suggestions when users need them, rather than requiring users to manually configure their preferences.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring user responses to route suggestions and using this information to refine future recommendations. The system tracks whether users accept or reject suggested routes and uses this feedback to improve the accuracy of travel pattern analysis and route optimization over time.
2Productivity
If ride-sharing services are expanded to reduce traffic congestion, then transport costs can be shared and congestion reduced, but users face challenges in discovering compatible routes and potential driving partners
Solution Approach 1:
The system creates a universal platform that serves multiple functions: it acts as a route planning tool, a driver matching service, and a cost-sharing arrangement system all in one. The traveler profile system and compatible route determination algorithm provide a universal framework that works across different user scenarios and transport needs.
Solution Approach 2:
The system serves as an intermediary by introducing a centralized platform that connects potential drivers and passengers. Rather than users directly searching for each other, the system mediates the matching process by analyzing travel patterns and presenting compatible routes, thereby reducing the information loss that would occur in direct peer-to-peer matching.
3Measurement precision
If geographic tracking is implemented to determine travel patterns, then optimized route suggestions can be provided, but user privacy concerns and data collection requirements increase
Solution Approach 1:
The system extracts only the essential geographic data needed for route optimization while leaving out unnecessary personal information. By focusing specifically on location data and travel patterns rather than comprehensive user profiles, the system achieves precise measurement of travel behavior with minimal data collection complexity.
Data Source
AI summary
A computer-implemented method includes identifying a first traveler profile and additional traveler profiles. Each traveler profile is associated with a mobile device. The method further includes, for the first traveler profile, determining a first travel pattern, based on geographically tracking the first traveler mobile device, and determining an additional travel patterns, based on geographically tracking the additional travelers' mobile devices. The method further includes determining a compatible route between the first traveler profile and a compatible traveler profile, based on optimizing the first travel pattern with the additional travel patterns, wherein the first traveler profile includes an optimal driver for the at least one compatible route. The computer-implemented method further includes presenting to the first traveler profile, via its mobile device, a suggestion that the first traveler profile become a driver profile for at least one travel application. A corresponding computer program product and computer system are also disclosed.