Parking Location Recommendation Based on Next Destination Routing
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Solution Overview
Problem
Current navigation systems often recommend parking locations based on proximity to the current destination, leading to increased travel time and distance when considering a subsequent destination, resulting in inefficient routing and user dissatisfaction, especially in complex urban areas.
Innovation Solution
A method and apparatus that determine a recommended vehicle parking or stopping location by processing map data and user mobility patterns to minimize travel time and distance to the next destination, taking into account turn restrictions, traffic, and user preferences, allowing for optimized parking suggestions that may be slightly off the direct route to reduce detours.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If parking location is selected based on proximity to current destination, then parking convenience is improved, but travel time and distance to next destination increase
Solution Approach 1:
The system performs preliminary routing analysis from candidate parking locations to the next destination before final parking selection. By calculating routing costs in advance and using this information to guide parking location selection, the system optimizes the overall trip efficiency while maintaining parking convenience.
2Ease of operation
If parking location is selected based on proximity to current destination, then parking convenience is improved, but total travel distance increases
Solution Approach 1:
The system performs preliminary routing analysis from candidate parking locations to the next destination before final parking selection. By calculating routing costs in advance and using this information to guide parking location selection, the system optimizes the overall trip efficiency while maintaining parking convenience.
3Productivity
If parking location is optimized for next destination, then travel efficiency is improved, but parking accessibility may be reduced
Solution Approach 1:
The system applies a weighting mechanism that partially prioritizes routing efficiency over pure proximity. By using a cost function that combines both proximity metrics and routing cost metrics with adjustable weights, the system achieves a balanced solution that improves travel efficiency while maintaining acceptable parking accessibility.
Data Source
AI summary
An approach is provided for recommending a vehicle parking or stopping location at a current destination based on a next destination. The approach, for example, involves determining the next destination that follows the current destination. The approach also involves processing map data representing a road network within a proximity threshold of the current destination to determine the recommended parking or stopping location based on minimizing a travel time, a travel distance, or a combination thereof between the recommended parking or stopping location and the next destination.


