Navigation System Drop-Off Optimization for Shorter Destination Walks
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Solution Overview
Problem
Users often face inconvenience when dropped off at locations far from their final destinations, such as hotels, shopping malls, or stadiums, requiring significant walking distances to reach their intended sites of interest.
Innovation Solution
A navigation system determines an optimal drop-off location based on information such as hotel room bookings, desired sites within buildings, and user preferences, generating navigation instructions to minimize walking distance and providing additional instructions for exit locations if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a taxi driver drops off a user at a general destination location, then the drop-off process is simple and quick, but the user has to walk a considerable distance to reach the final destination
Solution Approach 1:
The system performs preliminary actions by determining the optimal drop-off location in advance based on the user's final destination, site of interest, and building layout. This allows the vehicle to drop the user as close as possible to the actual destination, minimizing walking distance and time while maintaining operational simplicity.
Solution Approach 2:
The system uses feedback from the user's specified site of interest, building map data, and current location to continuously optimize the drop-off location. The navigation system provides real-time guidance to both the user and driver, ensuring the user reaches the optimal drop-off point with minimal walking required.
2Loss of time
If a navigation system determines an optimal drop-off location based on detailed information, then the user's walking distance is minimized, but the system complexity increases
Solution Approach 1:
The navigation system performs multiple functions using a single integrated platform: it processes building maps, identifies sites of interest, calculates optimal drop-off locations, and provides navigation guidance. This multi-functionality reduces the need for separate specialized systems, managing complexity while delivering comprehensive optimization.
Solution Approach 2:
The system automatically determines the optimal drop-off location by processing user input (site of interest) and building data without requiring manual intervention. The navigation instructions are generated and provided automatically, allowing the system to serve itself in optimizing routes and locations without increasing operational complexity for the user.
3Productivity
If the system provides detailed navigation instructions for optimal drop-off location, then the user reaches the destination more efficiently, but the information processing requirement increases
Solution Approach 1:
The system extracts only the essential information needed for optimal navigation: the user's site of interest, key building landmarks, and the calculated optimal drop-off location. By filtering out unnecessary data and focusing on critical information elements, the system reduces information processing load while maintaining high destination reach efficiency.
Data Source
AI summary
A navigation system is disclosed. The system may include a transceiver and a processor. The transceiver may be configured to receive a destination location, a destination location map and information associated with a site of interest in the destination location. The processor may determine an optimal drop-off location, from a plurality of drop-off locations, at the destination location based on the information associated with the site of interest and the destination location map. The processor may further determine a real-time location of a vehicle or a user device and generate navigation instructions to navigate the vehicle or the user device from the real-time location to the optimal drop-off location. The processor may further transmit the navigation instructions to the vehicle or the user device.