Navigation Via-Point Selection for Passenger Pickup
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Solution Overview
Problem
Navigation systems struggle to find an optimum via-point for a fellow passenger when their starting place is significantly different from the driver's, as they lack the necessary information to consider traffic, preferred transportation, and convenience.
Innovation Solution
A method that inputs both driver and fellow passenger starting places, preferred traffic information, and calculates an optimum via-point within the traveling route from the driver's starting place to their common destination, using preferred transportation means and transit information to select a suitable location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the navigation system uses basic route calculation without additional information gathering, then the system complexity remains low, but the ability to find an optimum via-point for the fellow passenger is insufficient
Solution Approach 1:
The system performs preliminary actions by pre-generating multiple candidate via-points along the driver's route and pre-calculating transportation options (bus, subway, walking routes) for each candidate location. This preparation is done before the final via-point selection, allowing the system to quickly present optimized options without complex real-time calculations when the user needs to pick up a fellow passenger.
Solution Approach 2:
The navigation system serves itself by automatically gathering transportation information, calculating travel times, and ranking via-point candidates based on the fellow passenger's preferences (such as preferred transportation modes). The system autonomously processes the complex information gathering and analysis without requiring manual input from the user, reducing the perceived complexity for the end-user.
2Ease of operation
If the navigation system searches for an optimum via-point considering multiple transportation modes and preferences, then the convenience for the fellow passenger is improved, but the calculation complexity and time required increase
Solution Approach 1:
The system performs preliminary calculations by pre-computing transportation times and routes for multiple candidate via-points along the driver's path. It prepares transportation mode options (bus, subway, walking) and their associated travel times in advance, so that when the user needs to select a via-point, the system can quickly present pre-analyzed options rather than performing complex real-time calculations.
Solution Approach 2:
The system calculates transportation information for more via-point candidates than strictly necessary, generating a comprehensive set of options that exceeds the minimum requirement. By computing routes and times for multiple potential via-points with various transportation modes, the system ensures that the optimal choice is available while distributing the calculation workload across multiple candidates, preventing any single calculation from becoming excessively complex or time-consuming.
3Measurement precision
If the navigation system considers multiple transportation modes and passenger preferences, then the accuracy of via-point selection is improved, but the amount of information processing required increases
Solution Approach 1:
The system performs preliminary information gathering by collecting transportation mode data, travel times, and route information for multiple candidate via-points before the final selection process. It pre-processes this information according to the fellow passenger's stated preferences (such as preferred transportation modes), organizing and filtering data in advance to reduce the information processing load during the actual via-point selection moment.
Solution Approach 2:
The system applies different information processing depths to different via-point candidates based on their characteristics. For via-points closer to the driver's route or with better transportation connectivity, the system may perform more detailed analysis, while for less optimal candidates, it uses quicker assessment methods. This localized approach to information processing maintains high selection accuracy while reducing overall computational burden by not uniformly applying maximum processing to all candidates.
Data Source
AI summary
The present disclosure relates to a method of setting a via-point in a navigation system. The method includes: inputting a plurality of starting places including a starting place of a driver and a starting place of a fellow passenger; when the starting place of the fellow passenger is selected as a via-point, searching for a route from the starting place of the driver to the destination of the driver and including the via-point; and when the starting place of the fellow passenger is not selected as the via-point, inputting various preferred traffic information about the fellow passenger, and calculating an optimum via-point for the fellow passenger to be included within a travelling route from the starting place of the driver to the destination of the driver.