Autonomous Vehicle Route Adaptation for Side Trip Feasibility
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Solution Overview
Problem
Users of automatic driving vehicles face challenges in taking side trips during their pre-set journeys, as existing systems do not allow for flexible route changes without compromising the vehicle's ability to reach the designated end point on time.
Innovation Solution
An information processing device and method that acquires usage end time and end point, determines if a side trip is feasible by deriving the expected arrival time at the end point via a side trip point, and permits the side trip if the vehicle can still arrive on time, adjusting the route accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the vehicle follows the original route to reach the usage end point on time, then the arrival time is guaranteed, but the user cannot take side trips
Solution Approach 1:
The system dynamically adjusts the vehicle's route based on real-time conditions. It calculates multiple possible routes (original route and alternative routes via side trip points) and selects the optimal route that satisfies both the user's side trip request and the arrival time constraint. This dynamic route selection enables the vehicle to adapt to user preferences while maintaining punctuality.
Solution Approach 2:
The system performs preliminary calculations of expected arrival times for various routes before the user makes a decision. By pre-calculating arrival times for routes involving side trip points and comparing them with the required arrival time, the system can proactively inform users of feasible side trip options, allowing informed decision-making without compromising the arrival deadline.
2Ease of operation
If the vehicle allows side trips, then user flexibility is improved, but the risk of missing the usage end time increases
Solution Approach 1:
The system provides feedback to users about the time implications of side trips. By calculating and communicating the expected arrival time for routes involving side trip points, the system enables users to make informed decisions. This feedback mechanism ensures users understand the time cost of side trips, allowing them to choose options that maintain acceptable arrival times while enjoying enhanced convenience.
3Adaptability or versatility
If the system calculates multiple routes to allow side trips, then route options increase, but computational complexity increases
Solution Approach 1:
Instead of calculating all possible routes across the entire map, the system focuses calculations on local areas around predetermined side trip points along the original route. By limiting the search space to neighborhoods of these specific points and using the original route as a backbone, the system generates multiple viable route options without requiring exhaustive computation of the entire route space, thus managing computational complexity effectively.
Data Source
AI summary
In an information processing device, a first acquisition portion acquires a usage end time and a usage end point of an automatic driving vehicle. A second acquisition portion acquires information about a side trip point of the automatic driving vehicle. A derivation portion derives an expected time of arrival of the automatic driving vehicle at the usage end point by way of the side trip point. A permission portion permits a drop-in at the side trip point when the expected time of arrival at the usage end point is before the usage end time.