Autonomous Vehicle Task Scheduling Around User Availability Risk
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Driverless vehicles spend significant time idle when not in use, and existing technologies do not efficiently manage tasks like refueling, maintenance, and parking, which can be inconvenient for users and costly for operators.
Innovation Solution
A method and system that ingests data from driverless vehicle operations to predict tasks such as parking, maintenance, and fueling, calculates user availability risk, and schedules these tasks to balance convenience, cost, and time, allowing the vehicle to autonomously perform them during idle periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If driverless vehicles perform tasks like refueling, maintenance, and parking during idle time, then operational costs and time are optimized, but user convenience may be reduced if the vehicle is unavailable when needed
Solution Approach 1:
The system performs task scheduling and risk assessment in advance before the user needs the vehicle. By predicting user availability risk and pre-scheduling maintenance, refueling, and parking tasks during idle periods, the system optimizes vehicle utilization without compromising user convenience. The preliminary action principle is applied through the scheduling module that plans tasks ahead of time based on predicted user needs.
Solution Approach 2:
The driverless vehicle autonomously performs service tasks such as refueling, maintenance, and parking without human intervention. The vehicle's system independently identifies idle periods, schedules appropriate tasks, executes them, and manages its own operational needs. This self-service capability maximizes vehicle utilization while minimizing impact on user availability.
2Ease of operation
If the vehicle is kept available for user use at all times, then user convenience is maximized, but maintenance and operational costs increase
Solution Approach 1:
The system implements periodic task execution during predicted idle periods rather than continuous operation. Maintenance, refueling, and parking tasks are scheduled at regular intervals or when idle time is detected, rather than continuously. This periodic action reduces operational costs while maintaining user availability by only interrupting service during genuine idle periods.
Solution Approach 2:
The system dynamically changes operational parameters based on user availability risk predictions. When risk is low (user unlikely to need vehicle), the system permits task execution. When risk is high (user likely to need vehicle), the system prioritizes availability over task completion. This parameter change approach balances cost optimization with user convenience.
3Productivity
If tasks are scheduled during high-risk periods when user may need the vehicle, then task completion efficiency is improved, but user inconvenience increases
Solution Approach 1:
The system uses feedback from user behavior patterns and availability predictions to adjust task scheduling decisions. The risk assessment module continuously monitors user usage patterns and provides feedback to the scheduling module. This feedback loop ensures tasks are scheduled during low-risk periods, preventing user inconvenience while maintaining task completion efficiency through accurate timing predictions.
Solution Approach 2:
The system performs preliminary risk assessment before scheduling any tasks. By evaluating user availability risk in advance and only scheduling tasks during low-risk periods, the system ensures task completion efficiency without causing user inconvenience. The preliminary risk evaluation prevents scheduling conflicts between user needs and task execution.
Data Source
AI summary
According to one embodiment, a method, computer system, and computer program product for navigating driverless vehicles is provided. The present invention may include ingesting data pertaining to the operation of the driverless vehicle, utilizing that data to predict tasks, which are driverless vehicle service tasks such as parking, maintenance, fueling, et cetera. The invention may further include determining the risk that a user may have need of the driverless vehicle, and scheduling the tasks to provide a balanced combination of convenience to the user, effective maintenance of the driverless vehicle, cost, and time. The method further includes navigating the driverless vehicle to accomplish the scheduled tasks.