Elevation-Aware Hotspot Generation for Transportation Services
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing transportation service systems fail to accurately suggest pickup locations in complex environments like airports or dense urban areas, as they do not consider elevation differences, leading to suboptimal hotspot generation and pickup point recommendations.
Innovation Solution
A network system that generates elevation-aware hotspots by clustering historical pickup points using a clustering algorithm with an elevation weight, considering both horizontal and vertical dimensions, and recommends these hotspots as potential pickup points based on similarity with the user's telematics vector.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional hotspot generation methods are used that only consider latitude and longitude, then the system is simple to implement, but the accuracy of pickup location recommendations deteriorates in complex environments with multi-level roads or structures
Solution Approach 1:
The patent applies dimensionality change by transitioning from 2D hotspot generation (latitude and longitude only) to 3D hotspot generation (latitude, longitude, and elevation). This allows the system to accurately distinguish pickup locations on different levels of multi-level roads or structures, resolving the accuracy issue in complex environments without requiring fundamentally new system architecture
Solution Approach 2:
The patent changes the parameters used for hotspot generation by incorporating elevation data alongside latitude and longitude. The clustering algorithm is modified to consider elevation as an additional parameter, enabling accurate differentiation of pickup points at different vertical levels while maintaining the same horizontal coordinates
2Reliability
If elevation data is incorporated into hotspot generation, then the accuracy of pickup point recommendations in complex venues improves, but the data processing requirements and system complexity increase
Solution Approach 1:
The patent segments the hotspot generation process into distinct components: traditional 2D spatial clustering based on latitude and longitude, and 3D elevation-based clustering. This segmentation allows the system to process elevation data separately and integrate it with existing location-based algorithms, improving reliability without overwhelming system complexity
3Use of energy by moving object
If only 2D location data is used for hotspot generation, then the system requires less data processing power, but the system fails to provide accurate recommendations in environments with multi-level roads or structures
Solution Approach 1:
The patent efficiently implements 3D hotspot generation by adding elevation as a third dimension to the existing 2D latitude-longitude framework. This approach provides accurate recommendations in multi-level environments while minimizing additional data processing requirements, as the elevation data can be integrated into the existing clustering algorithms with minimal computational overhead
Data Source
AI summary
Example embodiments are directed to systems and methods for generating and providing elevation-aware hotspots. In example embodiments, a network system detects an initiation of a request for a transportation service at a client device of a user and receives an indication of a location of the client device and corresponding signal strengths associated with the client device. The network system then determines a telematics vector based on the signal strengths associated with the client device. Based on the location of the client device and the telematics vector associated with the client device, the network system identifies one or more top ranked elevation-aware hotspots. A pickup point recommendation is then presented, by the network system on a user interface on the client device of the user, whereby the pickup point recommendation includes the one or more top ranked elevation-aware hotspots.