Autonomous Vehicle Matching Using End-of-Use Time and Position
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Solution Overview
Problem
Current systems for autonomous vehicle mobility services lack efficiency in matching vehicles with users based on real-time availability and user preferences, leading to suboptimal occupancy rates.
Innovation Solution
A vehicle information processing apparatus and system that communicates with user terminals to select and notify users of available vehicles based on end-of-use positions, expected end-of-use times, and user-defined boarding positions and times, considering priority factors like distance and time relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system notifies users of available vehicles based on real-time end-of-use positions and times, then vehicle occupancy rate is improved, but system complexity increases
Solution Approach 1:
The server performs preliminary calculations of end-of-use positions and times for all vehicles before a user makes a request. This pre-computed information is stored and readily available when users need vehicle matching, enabling rapid notification without complex real-time calculations during user interactions.
Solution Approach 2:
The server acts as an intermediary between vehicles and users, centralizing the complex matching logic. The server receives vehicle status information, computes end-of-use positions and times, and presents matched vehicles to users. This intermediary role isolates the complexity within the server while keeping user terminals simple.
2Measurement precision
If the system considers multiple priority factors like distance and time relationships for vehicle selection, then matching accuracy is improved, but processing time increases
Solution Approach 1:
The server pre-calculates end-of-use positions and times for all vehicles in advance, storing this information ready for quick retrieval. When users request vehicle matching, the system can rapidly compare pre-computed data against user preferences without performing complex real-time calculations, thus maintaining high accuracy while minimizing processing time.
3Loss of information
If the system stores detailed end-of-use position and time information for multiple vehicles, then vehicle availability information completeness is improved, but data storage requirements increase
Solution Approach 1:
The system extracts only the essential information needed for vehicle matching - specifically end-of-use position and end-of-use time - from complete vehicle operational data. By storing only these extracted key parameters rather than all possible vehicle information, the system maintains sufficient completeness for effective matching while minimizing data storage requirements.
Data Source
AI summary
A vehicle information processing apparatus includes a communication unit configured to communicate with a terminal of a first user, a storage unit configured to store an end-of-use position and an expected end-of-use time at which a second user of a vehicle ends use of the vehicle for each of a plurality of vehicles subjected to autonomous driving control and occupied by the second user, and a vehicle selection unit configured to acquire a boarding position and a boarding time at which the first user wants to get on a vehicle from the terminal via the communication unit and select at least one vehicle, of which the end-of-use position and the expected end-of-use time are in a predetermined relationship with the boarding position and the boarding time, from among the plurality of vehicles while referring to the storage unit.