Task-Aware Itinerary Planning for In-Transit Task Completion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional travel means lack the ability to enhance the quality of tasks performed during travel by adapting operations to the tasks, leading to suboptimal experiences such as interrupted content viewing or unutilized layover time.
Innovation Solution
An information processing apparatus that sets tasks for travel, determines an itinerary incorporating these tasks, predicts task completion, and adjusts the plan accordingly to ensure smooth task execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the travel means operates according to a fixed schedule without task consideration, then the travel timing is simple to manage, but the task execution quality deteriorates (content viewing interrupted, layover time wasted)
Solution Approach 1:
The patent applies dynamics by making the travel schedule flexible and adaptive rather than fixed. The information processing apparatus dynamically adjusts the travel timing and itinerary based on real-time task execution status, allowing the system to respond to changing conditions and optimize both travel management and task completion quality simultaneously
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors task execution progress and uses this information to adjust the travel schedule. The information processing apparatus receives feedback on whether tasks are completing as expected and modifies the itinerary accordingly, creating a closed-loop system that improves both operational ease and task productivity
2Productivity
If the itinerary plan is adjusted frequently to match task completion, then the task execution quality improves, but the system complexity increases
Solution Approach 1:
The patent applies self-service by enabling the itinerary management system to automatically adjust itself based on task execution feedback without requiring manual intervention. The information processing apparatus autonomously monitors task progress and modifies the travel plan, reducing the need for complex manual coordination while maintaining high task execution quality
Solution Approach 2:
The patent implements preliminary action by pre-planning multiple itinerary options and task schedules. The system has pre-prepared alternative routes and timing scenarios that can be quickly activated based on real-time conditions, reducing the complexity of on-the-fly decision-making while maintaining adaptive responsiveness
3Reliability
If the travel means arrives early at the target point, then the task can be completed with time to spare, but the layover time is wasted
Solution Approach 1:
The patent applies dynamics by making the arrival timing flexible rather than fixed. The information processing apparatus continuously monitors task execution speed and adjusts the travel timing dynamically, allowing the vehicle to arrive at the optimal moment when the task is completed, thereby eliminating wasted layover time while maintaining reliable task completion
Solution Approach 2:
The patent implements feedback by using real-time task execution status to adjust arrival timing. The system receives feedback on task progress and modifies the travel schedule accordingly, ensuring the vehicle arrives precisely when needed rather than arriving early with wasted time or late with rushed completion
4Use of energy by stationary object
If the travel means operates at fixed speed, then the energy consumption is predictable, but the task synchronization capability is reduced
Solution Approach 1:
The patent applies dynamics by enabling variable speed operation of the travel means. The information processing apparatus adjusts the vehicle speed dynamically based on task execution progress, allowing the system to synchronize arrivals with task completion while managing energy consumption through intelligent speed adjustment rather than fixed scheduling
Solution Approach 2:
The patent implements parameter changes by modifying the speed parameter of the travel means based on task requirements. The system changes operational parameters (speed, timing) in response to task execution status, enabling flexible synchronization capability while maintaining energy efficiency through optimized parameter selection
Data Source
AI summary
A setting section that sets one or more tasks that are scheduled to be executed during travel from a departure point to an arrival point of an itinerary, a determination section that, on the basis of the departure point, the arrival point, and the one or more tasks, determines an itinerary plan including one or more travel means from the departure point to the arrival point and a task that is scheduled to be executed during travel with each of the travel means, a prediction section that predicts whether or not a task performed during execution of the itinerary plan will end before arrival of the travel means at a target point that is supposed to be reached when the task ends, and a change section that changes the itinerary plan in accordance with a result of prediction by the prediction section, are included.


