Autonomous Vehicle Trip Planning With Predictive Pickup Dispatch
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Solution Overview
Problem
Current autonomous vehicle dispatching systems lack efficient methods for advanced trip planning, leading to increased 'empty miles,' longer pickup times, and reduced demand for trips, as they rely on user initiation and do not effectively utilize historical user data to optimize vehicle positioning and scheduling.
Innovation Solution
A method utilizing server computing devices to determine potential pickup and destination locations, assign vehicles, and provide trip information to users, including estimated times of arrival and costs, while using historical user scores to rank trips and proactively send instructions to vehicles, thereby reducing empty miles and optimizing scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If autonomous vehicle dispatching systems rely on user initiation for trip requests, then system simplicity is maintained, but empty miles increase and pickup times lengthen
Solution Approach 1:
The system performs preliminary actions by proactively identifying potential trip requests based on historical user data before users actually initiate requests. The dispatching system analyzes user behavior patterns, predicts likely trips, and prepares vehicle assignments in advance, thereby reducing pickup times while maintaining system simplicity through automated predictions rather than complex user interactions
2Device complexity
If autonomous vehicle dispatching systems do not utilize historical user data, then data processing complexity is reduced, but vehicle positioning optimization is impaired
Solution Approach 1:
The system implements self-service by automatically utilizing historical user data to predict and prepare for trip requests without requiring complex manual intervention. The dispatching system independently analyzes user behavior patterns, identifies potential trips, and optimizes vehicle positioning based on this data, thereby improving vehicle positioning efficiency while keeping data processing complexity manageable through automated self-directed operations
3Ease of operation
If autonomous vehicle dispatching systems wait for user confirmation before dispatching, then user control is maintained, but ridership demand decreases
Solution Approach 1:
The system performs preliminary vehicle assignment and preparation based on predicted user needs before users formally request trips. By proactively identifying likely trip requests from historical data and pre-positioning vehicles, the system reduces wait times and improves user experience, thereby increasing ridership demand while still allowing users to confirm or cancel their trips when presented with the options
Data Source
AI summary
Aspects of the disclosure provide for advanced trip planning for an autonomous vehicle service. For instance, an example method may include determining a potential pickup location for a user, determining a set of potential destination locations for a user, and determining a set of potential trips. For each potential trip a vehicle of a fleet of autonomous vehicles of the service may be assigned and trip information, including an estimated time of arrival for the assigned vehicle of the potential trip to reach the destination location of the potential trip, may be determined. The trip information for each potential trip may be provided for display to the user. Thereafter, confirmation information identifying one of the set of potential trips may be received, and the assigned vehicle for one first of the set of potential trips may be dispatched to pick up the user.