Dynamic Pick-Up Location Optimization for Ride-Hailing
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Solution Overview
Problem
Current vehicle pick-up location determination methods are inefficient as they often ignore the overall travel time and distance for the driver, leading to suboptimal pick-up locations that increase travel inefficiency for both drivers and passengers.
Innovation Solution
A system and method that determine the optimal pick-up location by analyzing candidate locations based on travel distance and time for both the vehicle and user, using GPS data to calculate utility and adjust weights dynamically, recommending the most efficient location to users and drivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the pick-up location is determined based only on user's location without considering vehicle's travel distance and time, then user convenience is improved, but driver travel efficiency deteriorates
Solution Approach 1:
The system changes the parameters used for pick-up location determination from solely user-centric (user's location) to a dual consideration including vehicle-centric parameters (travel distance and time). This is achieved by calculating utility values that incorporate both user walking distance and driver travel metrics, thereby resolving the contradiction between user convenience and driver efficiency
Solution Approach 2:
The invention adds a new dimension to the pick-up location decision-making process by introducing the vehicle's travel perspective as an additional consideration dimension. Instead of only considering the user's location, the system now evaluates locations based on both user accessibility and driver travel efficiency, creating a multi-dimensional optimization approach
2Device complexity
If the pick-up location is determined without analyzing multiple candidate locations, then the determination process is simplified, but travel efficiency is reduced
Solution Approach 1:
The system segments the pick-up location determination into distinct steps: identifying multiple candidate locations, calculating utility values for each candidate, and selecting the optimal location. This segmentation allows for systematic evaluation of different locations while maintaining a manageable process structure that balances complexity with efficiency
Solution Approach 2:
The system performs preliminary actions by pre-calculating and identifying multiple candidate pick-up locations before making the final determination. This preliminary identification of options enables efficient comparison and selection based on utility values, improving travel efficiency without excessive complexity
3Productivity
If the system recommends a pick-up location that optimizes driver travel time, then driver efficiency is improved, but user convenience may deteriorate
Solution Approach 1:
The system creates an equipotential balance between driver efficiency and user convenience by using utility values that weigh both factors equally in the decision-making process. The utility calculation incorporates both driver travel metrics and user walking distance, ensuring neither party's interests are significantly compromised
Data Source
AI summary
Systems and methods are provided for determining vehicle pick-up location. An exemplary method may comprise obtaining a user's location and a request by the user for transportation to a destination, determining a vehicle to respond to the request, obtaining the determined vehicle's location, and determining a pick-up location for the vehicle to pick up the user based at least on the user's location, the destination's location, and the vehicle's location.