Multi-Modality Transportation Proposal Scoring
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Solution Overview
Problem
Existing transportation matching systems cannot generate transportation routes that combine multiple modalities into a single proposal, failing to capture cost or time savings and often recommend inconvenient multi-modality routes due to limitations in handling various user locations and modality availability.
Innovation Solution
A system that calculates proposal scores for multi-modality transportation proposals based on disutility measures, user costs, and network costs, ranking them to display the most convenient and cost-effective routes, which can combine different transportation segments like biking, trains, and walking, and adjusts rankings in real-time based on marketplace conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If existing transportation matching systems generate single-modality routes, then system simplicity is maintained, but multi-modality cost and time savings are lost
Solution Approach 1:
The transportation route is divided into multiple segments, each potentially using different modalities (walking, biking, transit, rideshare). The system calculates scores for each segment independently and combines them to evaluate overall route efficiency, enabling multi-modality routing while maintaining manageable system complexity through modular scoring.
Solution Approach 2:
The transportation matching system is enhanced to handle multiple transportation modalities universally. The scoring framework accommodates various modalities (walking, biking, public transit, rideshare) using a unified disutility measurement approach, allowing the system to evaluate and compare diverse route options without requiring separate specialized systems for each modality.
2Adaptability or versatility
If existing systems recommend multi-modality routes, then route flexibility increases, but user convenience decreases due to handling various user locations and modality availability
Solution Approach 1:
The system pre-calculates disutility scores for various transportation segments and modalities before presenting routes to users. By预先 evaluating the convenience factors (walking distance, bike availability, transit access, rideshare proximity) and incorporating them into the scoring framework, the system automatically optimizes for user convenience while maintaining route flexibility, eliminating the need for users to manually assess multiple modalities.
Solution Approach 2:
The scoring framework acts as an intermediary between route flexibility and user convenience. It translates diverse factors (modality availability, user locations, segment characteristics) into a unified disutility measure that automatically balances flexibility and convenience, presenting optimized multi-modality routes without requiring users to directly handle the complexity of evaluating multiple modalities.
3Productivity
If the system calculates comprehensive proposal scores based on multiple factors, then route optimization improves, but calculation complexity increases
Solution Approach 1:
The comprehensive scoring calculation is segmented into discrete components: disutility measure calculation, segment scoring, and aggregate proposal scoring. Each component handles specific factors (walking distance, bike distance, transit time, rideshare availability) independently, allowing the system to achieve thorough route optimization through modular, manageable calculations rather than monolithic complex processing.
4Measurement precision
If the system removes proposals from consideration, then recommendation accuracy improves, but option diversity decreases
Solution Approach 1:
The system applies partial filtering by removing only those proposals that fall below acceptable thresholds on critical factors (excessive disutility, unavailable modalities, unsafe segments). It maintains option diversity by preserving proposals that are acceptable but not optimal, and by providing users with ranked lists that show multiple viable options. This partial action approach achieves recommendation accuracy without completely eliminating diverse alternatives.
Data Source
AI summary
Methods and systems for analyzing, ranking, and presenting multi-modality transportation proposals are presented. In one embodiment, a method is provided that includes receiving a request for transportation and generating proposals that include routes for transportation an origin location and a destination location of the request. The proposals each include segment(s) corresponding to a portion of a route and at least one modality identifying a type of transportation for the segment(s). Proposal scores may then be calculated for each of the proposals. Proposal scores for a proposal may be calculated based on a disutility measure of the proposal that measures a predicted inconvenience for a user following the route identified by the proposal. The proposals may be ranked based on the proposal scores and the ranking may be transmitted to a mobile device for display on the mobile device.