Pickup Location Recommendation System for Ride-Hailing
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Solution Overview
Problem
Current vehicle hailing services do not provide users with suggested pickup locations, forcing them to designate a location without considering traffic conditions or transferable transportation options, making it difficult to plan an efficient route.
Innovation Solution
A method and device that recommend multiple candidate pickup locations to users based on their preferences and traffic data, including short distance, lowest cost, and transfer linkage types, providing operation information for each location to facilitate route planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the user designates a pickup location without assistance, then the user has full control over location selection, but the user must manually identify traffic conditions and transferable transportation, increasing the complexity and time required for route planning
Solution Approach 1:
The system pre-calculates and prepares multiple candidate pickup locations with their associated operation information (traffic conditions, transferable transportation, fares, times) before the user makes a selection. This preliminary preparation eliminates the need for the user to manually research each option, significantly reducing route planning time while maintaining user control.
Solution Approach 2:
The system provides feedback to the user by displaying operation information for each candidate pickup location, including traffic conditions, transferable transportation options, fares, and estimated times. This feedback enables the user to make an informed decision quickly without having to conduct separate investigations.
2Reliability
If the system provides multiple candidate pickup locations with operation information, then the user can plan a more efficient route, but the information processing and calculation complexity increases
Solution Approach 1:
The system segments the route planning task by dividing candidate pickup locations into different types (e.g., short distance, lowest cost, transfer linkage) and calculating operation information for each type separately. This segmentation allows the complex calculation to be broken down into manageable parts, improving reliability while controlling system complexity.
Solution Approach 2:
The system employs a multi-functional calculation unit that can handle various types of calculations (traffic analysis, transportation transfer analysis, fare calculation, time estimation) using a unified approach. This universal calculation mechanism improves route planning quality across different scenarios without proportionally increasing system complexity.
3Ease of operation
If the user selects a pickup location without considering transferable transportation, then the selection process is simpler, but the fare and time to destination may be suboptimal
Solution Approach 1:
The system pre-identifies and presents pickup locations that offer transferable transportation options along with their operation information. This preliminary identification ensures that efficient transfer options are not missed while keeping the selection process simple for the user.
Solution Approach 2:
The system changes the presentation parameters by displaying multiple candidate locations with different characteristics (short distance, lowest cost, transfer linkage) rather than a single location. This allows the user to quickly select an efficient option based on their preferences without complex analysis.
Data Source
AI summary
An embodiment method, performed by a device, for recommending a location in which a vehicle picks up a user includes acquiring user data including a location of the user, acquiring traffic data corresponding to the user data, calculating a plurality of candidate pickup locations corresponding to a plurality of types based on the user data and the traffic data, and providing the candidate pickup locations and operation information of each of the candidate pickup locations to the user.