Rideshare Vehicle Interior Preview System
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Solution Overview
Problem
Current ridesharing and robotaxi technologies do not provide users with pictures or videos of the vehicle's interior before booking, nor do they consider user preferences for driving style or manner.
Innovation Solution
A system and method that allow vehicles to provide users with images, videos, and information about the vehicle's interior and driving characteristics before confirming a ride request, ensuring a match based on user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the system provides users with images and videos of the vehicle interior before booking, then user satisfaction and informed choice are improved, but system complexity and data transmission requirements increase
Solution Approach 1:
The system captures and stores images and videos of the vehicle interior in advance before users make booking decisions. This preliminary action allows users to view the actual vehicle conditions (seating arrangement, cleanliness, amenities) before confirming their ride request, thereby reducing information asymmetry without requiring real-time complex processing during the booking moment.
Solution Approach 2:
Instead of providing the actual physical vehicle interior for inspection, the system creates and transmits digital copies (images and videos) of the interior to users. These visual copies serve as sufficient representations that allow users to make informed decisions about vehicle suitability without needing to physically inspect the vehicle or deal with complex verification systems.
2Adaptability or versatility
If the system matches users with vehicles based on driving style preferences, then user satisfaction is improved, but matching algorithm complexity increases
Solution Approach 1:
The system translates abstract user preferences (e.g., 'comfortable', 'fast', 'eco-friendly') into specific measurable driving parameters such as acceleration rates, braking forces, speed profiles, and route selection criteria. By converting qualitative preferences into quantitative parameters, the system can perform automated matching between user preferences and vehicle driving characteristics using standardized comparison algorithms.
Solution Approach 2:
The system pre-establishes driving style profiles and matching criteria before the actual ride booking occurs. User preferences and vehicle driving characteristics are stored and compared in advance, allowing the matching algorithm to identify suitable vehicle-user pairs before the ride request is finalized, thereby simplifying the real-time decision-making process.
3Loss of information
If the system sends images and videos to users before ride confirmation, then user awareness of vehicle conditions is improved, but communication data transmission increases
Solution Approach 1:
The system transmits a selective subset of visual information (key interior features, seating areas, and relevant amenities) rather than complete comprehensive coverage of the entire vehicle. This partial action approach provides users with sufficient information to make informed decisions about vehicle suitability while avoiding unnecessary transmission of redundant or less important visual data, thereby balancing information completeness with data efficiency.
Data Source
AI summary
Provided herein is a system on a vehicle, the system comprising one or more sensors, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform: receiving one or more ride requests for ridesharing from one or more users; receiving respective preferences from each of the one or more users; selecting a ride request of a user from the one or more ride requests based on the respective preferences; notifying the user of the selecting of the ride request; sending at least one of the images or videos of the interior of the vehicle to the user; in response to the sending, determining whether the user confirms the ride request; and in response to determining that the user confirms the ride request, selecting a route to the user and driving, according to the route, to the user.