Operation Support Device for Route Planning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Requestors face difficulties in determining appropriate operation routes for business-use vehicles like trucks and buses due to lack of understanding about actual road situations and congestion states, often specifying routes that are difficult or congested.
Innovation Solution
An operation support device that collects and analyzes probe information from vehicles to extract and classify routes based on frequency of use, providing candidates that avoid difficult and congested routes, and allows for real-time monitoring and comparison of planned and actual routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If requestors specify operation routes based on general knowledge without actual road situation data, then route planning can be performed quickly, but the selected routes may be difficult or congested leading to operational problems
Solution Approach 1:
The system collects and stores probe information from vehicles before route planning is needed, pre-processing road condition data so that when route planning occurs, reliable information is already available. This allows quick planning based on pre-collected data rather than requiring real-time data collection during planning.
Solution Approach 2:
The system introduces probe information from multiple vehicles as an intermediary data source between the requestor's general knowledge and the actual road conditions. This intermediary data provides objective, real-world evidence of route conditions without requiring the requestor to personally verify them.
2Ease of operation
If operation routes are selected without considering actual congestion states and road difficulties, then planning simplicity is maintained, but drivers face operational challenges on difficult routes
Solution Approach 1:
The system uses feedback from probe information collected from vehicles that have actually traveled the routes to inform future route planning. This feedback loop identifies difficult routes and congestion patterns, allowing the system to recommend alternative routes that avoid known problems while maintaining planning simplicity.
Solution Approach 2:
The system replaces manual route verification and driver experience-based route selection with automated analysis of probe information. This substitution of mechanical/manual processes with data-driven automation maintains simplicity while improving route quality by objectively identifying and avoiding difficult routes.
3Reliability
If probe information from multiple vehicles is collected and analyzed to determine optimal routes, then route reliability is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system makes probe information collection and analysis functions universal by implementing them in the operation support device itself rather than requiring separate dedicated systems. The operation support device performs multiple functions including route planning, probe information collection, and data analysis, reducing overall system complexity while maintaining reliability.
Solution Approach 2:
The system enables self-service by automatically collecting, processing, and analyzing probe information without requiring external manual intervention. The operation support device independently performs data collection from multiple vehicles, processes the information to identify route patterns, and generates route recommendations, reducing the need for complex external data management infrastructure.
Data Source
AI summary
A method includes receiving an input of a departure point, an arrival point, and a desired arrival time of a specific vehicle to be operated, extracting, from a plurality of route information, a part of route information corresponding to routes that departed from or passed through around the departure point, and arrived at or passed through around the arrival point within a certain time range of the desired arrival time, classifying the part of route information into a plurality of route groups by comparing each other, counting a number of route information classified in each route groups, calculating, for each route groups, a ratio of the number of route information classified in each route groups to total number of the part of route information, and outputting operation information based on the ratio, the operation information including at least one of specific route as candidates for the specific vehicle.