Trip Combination Planning System for Navigation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional navigation systems require users to manually select and plan individual trips, making it burdensome to combine multiple trips for optimal vehicle usage, as they do not consider combinations that could enhance user benefits such as energy consumption, travel time, or environmental impact.
Innovation Solution
An apparatus and method that utilize a database of trips with attributive information to automatically select and combine primary and secondary trips based on user habits, evaluating the impact of these combinations to propose advantageous trip combinations, including regular and ongoing trips, to reduce user burden and optimize vehicle usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional navigation systems are used to plan individual trips, then users can reach their destinations, but users must manually select and plan each trip which is burdensome
Solution Approach 1:
The system automatically plans trip combinations by itself without requiring manual user input for each trip. It retrieves user habits from the database, identifies combinable trips, and generates optimized trip combinations autonomously, making the system serve itself in the trip planning task.
Solution Approach 2:
The system pre-stores user habit information including regular trips, departure times, destinations, and vehicle usage patterns in a database. This preliminary data collection and organization enables automatic trip combination planning without requiring users to input trip details each time.
2Productivity
If users manually combine multiple trips for optimal vehicle usage, then vehicle usage efficiency can be improved, but the planning process becomes even more burdensome
Solution Approach 1:
The system automatically identifies which trips can be combined and how to combine them optimally. It retrieves user habits, analyzes trip compatibility based on time and location, and generates combined trip plans without requiring users to manually evaluate or combine trips.
Solution Approach 2:
The system uses stored user habit information as feedback to automatically adjust and optimize trip combinations. By analyzing past trip patterns, the system learns user preferences and automatically generates combinations that align with established habits, reducing the need for complex manual planning.
3Adaptability or versatility
If conventional systems evaluate trips based on individual attributes, then single trip optimization is achieved, but combination of trips for multiple benefits is not considered
Solution Approach 1:
The system evaluates trip combinations based on multiple criteria simultaneously including energy consumption, travel time, and environmental impact. It can propose combinations that optimize for different objectives depending on user needs, making the system versatile in handling various trip planning scenarios.
Solution Approach 2:
The system automatically performs the complex evaluation and combination of multiple trips based on stored user habits and trip attributes. It retrieves relevant information, analyzes compatibility, and generates optimized combinations without requiring user intervention in the evaluation process.
Data Source
AI summary
A drive management system proposes a trips combination, such as a combination of two regular trips and/or a side trip from an ongoing trip. A trips database stores a plurality of trips including regular trips. A regular trips combination proposing module automatically creates a trips combination of regular trips and proposes the trips combination to a user. The real-time trips combination proposing module finds out a trip combinable with an ongoing trip based on short-term needs which are retrieved from the trips database and proposes the trips combination to a user. The system proposes the trips combination and shows an impact which will be caused by the proposed trips combination. As a result, it is possible to support a user to plan a trips combination advantageous in some aspect.


