Vehicle Allocation Server Matching Transit Drivers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current vehicle allocation methods for ride-sharing services do not effectively consider the moving route information of vehicles already in transit, leading to inefficiencies and increased passenger standby times, as they primarily focus on drivers waiting for passengers without accounting for the conditions and routes of vehicles already carrying passengers.
Innovation Solution
A management server system that receives driving information from both operating and standby vehicles, and passenger information, to determine suitable vehicle allocation by comparing estimated travel times and distances, ensuring efficient matching and minimizing passenger wait times by considering the conditions set by drivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If allocation is performed centering around drivers of vehicles standing by without carrying a passenger, then the allocation process is simple, but vehicles being driven with passengers cannot be effectively utilized and passenger standby time increases
Solution Approach 1:
The patent inverts the traditional allocation approach by considering vehicles being driven with passengers as potential candidates for additional passengers, rather than only considering standing-by vehicles. This inversion allows the system to utilize vehicles that were previously ignored, thereby improving vehicle operation efficiency and reducing passenger standby time by selecting from a broader pool of available vehicles
Solution Approach 2:
The patent changes the selection parameters for vehicle allocation by introducing driving route information, current location, and estimated arrival time of vehicles being driven as key criteria. Instead of only considering stationary standing-by vehicles, the system evaluates dynamic parameters of moving vehicles to determine suitability for additional passengers, enabling more efficient allocation decisions
2Extent of automation
If compulsory allocation is performed according to a standard set in the compulsory allocation server, then allocation can be automated, but individual driver conditions cannot be considered
Solution Approach 1:
The patent makes the allocation system dynamic by allowing drivers to set and modify matching conditions based on their individual situations. The system continuously receives updated driving information including current location, route, and estimated arrival time, enabling real-time adjustments to allocation decisions while maintaining automation. This dynamic approach allows both high automation and adaptability to individual driver conditions
3Ease of operation
If vehicles are driven empty without a passenger when returning to garages or houses, then drivers can return to their destinations, but vehicle operation efficiency decreases
Solution Approach 1:
The patent applies preliminary action by proactively matching passengers with vehicles before the vehicles complete their current trips and return to garages or driver destinations. The system identifies suitable passengers based on overlapping routes and timing, allowing drivers to pick up additional passengers during their existing trips rather than driving empty and then seeking passengers later, thereby improving vehicle operation efficiency while maintaining ease of operation
Data Source
AI summary
Provided are an allocation management method for a vehicle being driven to an arrival point, a management server used therefor, and a recording medium having recorded thereon a program for executing the allocation management method for a vehicle being driven to an arrival point. The present disclosure is implemented via processes by which a management server receives, from a driver terminal, driving information including current location information of an operating vehicle and arrival point information of the operating vehicle, receives, from a passenger terminal, passenger information including departure point information and destination information of a passenger, and determines whether matching between the operating vehicle and the passenger is suitable, based on the driving information and the passenger information. According to the present disclosure, efficiency of a vehicle operation may be increased as much as possible by determining vehicle allocation according to the driving information of the vehicle being driven towards an arrival point, the departure point and destination information of the passenger who requested a vehicle call, and a matching condition during allocation set by a vehicle driver.


