Vehicle Resource Allocation System for Future Booking Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current fleet vehicle management systems lack efficient automatic allocation of vehicles for future vehicle requirements, as techniques used for instant bookings are not applicable to advanced bookings, leading to suboptimal resource utilization and increased distances traveled.
Innovation Solution
A vehicle resource allocation system that dynamically identifies and allocates the most suitable vehicle for future requests by iteratively monitoring vehicle statuses and timing factors, minimizing computational burden and optimizing allocation times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual allocation by controller is used, then flexibility in handling bookings is maintained, but productivity and efficiency deteriorate due to high operational burden and suboptimal resource utilization
Solution Approach 1:
The system enables self-service through automatic allocation algorithms that independently match vehicles to bookings without human intervention. The processor automatically evaluates vehicle availability, calculates optimal assignments, and updates allocations based on real-time data, freeing controllers from manual tasks while maintaining operational flexibility through configurable parameters and rules.
Solution Approach 2:
The patent replaces the mechanical manual allocation process with an automated computational system. The processor executes algorithms that substitute human decision-making with machine-based optimization, using data processing and mathematical models to determine optimal vehicle assignments, thereby improving productivity while preserving flexibility through programmable parameters.
2Speed
If instant booking allocation techniques are applied to future vehicle requirements, then allocation speed is maintained, but allocation accuracy deteriorates because these techniques do not account for vehicle availability at future times
Solution Approach 1:
The system performs preliminary actions by proactively identifying and allocating vehicles to future bookings before the actual service time arrives. The processor analyzes forecasted vehicle availability, calculates optimal allocations in advance, and prepares assignment plans that account for future constraints, ensuring both speed and accuracy in future requirement fulfillment.
Solution Approach 2:
The patent implements dynamic allocation that adapts to changing conditions over time. The system continuously updates vehicle availability status, recalculates optimal assignments as new data becomes available, and adjusts allocations dynamically to maintain accuracy for future bookings while preserving rapid response capability through efficient computational algorithms.
3Measurement precision
If comprehensive monitoring of all vehicle statuses is performed continuously, then allocation accuracy is improved, but computational burden and energy consumption increase
Solution Approach 1:
The system applies partial monitoring by focusing computational resources on critical subsets of vehicles and parameters rather than continuously monitoring all vehicles equally. The processor identifies key vehicles likely to be allocated to future bookings and monitors their statuses intensively, while using less rigorous monitoring for other vehicles, thereby maintaining allocation accuracy with reduced computational energy consumption.
Solution Approach 2:
The patent implements periodic monitoring where vehicle statuses are checked at scheduled intervals rather than continuously. The processor updates allocation calculations at specific time points or when triggering events occur, balancing the need for accurate information with energy conservation by avoiding constant computational processing while maintaining sufficient allocation precision.
Data Source
AI summary
Systems, methods, apparatus, and computer-readable media provide for allocating vehicle resources to future vehicle requirements. In some embodiments, allocating a vehicle resource to a vehicle requirement may be based on an iterative analysis of candidate vehicle resources using one or more of: a suitability of a candidate vehicle resource to fulfil the vehicle requirement, a journey time from a vehicle location to a start location, and/or a start time for the vehicle requirement.