Information Processing Device for Schedule-Deviation Road Data
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Solution Overview
Problem
Existing systems fail to efficiently collect and utilize information about roads where vehicles cannot travel due to height restrictions, narrow widths, construction, or traffic congestion, and roads to avoid, leading to incomplete route planning.
Innovation Solution
An information processing device that acquires schedule and position information, outputs questions about deviations from the schedule, collects answers, and stores operation position information, allowing for efficient collection and sharing of useful travel data among drivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If route search is performed using existing road information databases, then route planning can be done with available data, but incomplete or inaccurate route information is obtained because many roads lack recorded data on height restrictions, road widths, construction status, and other travel constraints
Solution Approach 1:
The system detects when a moving object deviates from its scheduled route and automatically generates questions to drivers about the reasons for deviation. This feedback mechanism collects real-world road condition information (construction, height restrictions, school zones, etc.) that is not present in traditional databases, thereby improving information completeness without requiring manual data entry
Solution Approach 2:
The system uses the moving object's own scheduled route information and actual position data to automatically identify deviations and trigger information collection. The moving object itself serves as the data collection platform by leveraging its navigation system and communication capabilities, eliminating the need for separate manual survey operations
2Measurement precision
If traditional manual methods are used to collect road information, then detailed and accurate data can be obtained, but the collection process is time-consuming and inefficient
Solution Approach 1:
The system continuously monitors the moving object's position and schedule throughout its journey, automatically detecting deviations and collecting road condition information in real-time. This continuous operation eliminates the need for separate manual survey trips, reducing time loss while maintaining data accuracy through ongoing information gathering
Solution Approach 2:
The system replaces manual mechanical survey methods with automated electronic detection and communication. By using GPS position data, schedule comparison algorithms, and automated question-answer collection, the system achieves the same measurement precision as manual surveys but with significantly reduced time investment
3Loss of information
If drivers are asked about road conditions manually, then valuable firsthand information can be collected, but the information collection process is cumbersome and does not scale efficiently
Solution Approach 1:
The system uses the moving object's existing navigation and communication systems for multiple purposes: route navigation, position tracking, schedule comparison, deviation detection, and information collection. This multi-functionality allows quality driver information to be collected without adding separate dedicated hardware, reducing overall system complexity
Data Source
AI summary
Useful information is efficiently collected. Schedule information including information regarding a schedule of a moving object is acquired. Moving object position information including information regarding a position of the moving object is acquired. When the moving object performs an operation different from a schedule of the moving object, a question based on the operation different from the schedule of the moving object is output. Answer information including information regarding an answer to the output question is acquired, and operation position information including information regarding a position where the operation different from the schedule of the moving object is performed is stored in association with the answer information.