Digital Vehicle Tags for Real-Time Driver Allocation Tracking
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Solution Overview
Problem
Existing vehicle transportation systems are inefficient, costly, and prone to errors due to manual communication, lack of real-time tracking, and inadequate insurance data collection, leading to increased risks and expenses for both requestors and drivers.
Innovation Solution
A driver allocation system utilizing internet-based communication and management, real-time GPS tracking, and trip-specific digital license plates, enabling efficient driver allocation, insurance customization, and accurate record keeping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual communication methods (phone calls, verbal communication) are used for driver allocation and vehicle tracking, then device complexity is reduced, but productivity decreases and loss of time increases
Solution Approach 1:
The patent replaces manual mechanical communication systems (phone calls, verbal communication) with an automated electronic information system. The system uses computers, networks, and software to automatically allocate drivers, track vehicles in real-time, and manage transportation operations, thereby dramatically improving productivity while the complexity is managed through standardized software architecture.
Solution Approach 2:
The system enables self-service functionality where drivers can access their own assignments, vehicle information, and tracking data through the automated system. The system automatically matches drivers with vehicles, generates routing information, and updates status without requiring manual intervention from dispatchers, thereby improving efficiency.
2Measurement precision
If real-time GPS tracking and monitoring systems are implemented, then measurement precision of vehicle position is improved, but use of energy increases
Solution Approach 1:
The system implements periodic GPS tracking updates rather than continuous monitoring. The GPS device periodically reports vehicle location to the central system at predetermined intervals, providing sufficient tracking precision for operational needs while significantly reducing energy consumption compared to continuous real-time monitoring.
3Reliability
If digital license plates with expiration dates are used, then reliability of vehicle identification is improved, but device complexity increases
Solution Approach 1:
The system pre-generates digital license plate numbers with embedded expiration dates and assigns them to vehicles before transportation operations begin. This preliminary assignment ensures that each vehicle has a valid, time-limited identification, improving reliability of vehicle tracking while the complexity is managed through automated generation and assignment processes.
Solution Approach 2:
The digital license plate system changes the parameter of time validity by incorporating expiration dates into the plate numbers. This temporal parameter addition enhances reliability by ensuring plates are only valid for authorized periods, while the system manages the complexity through automated tracking and renewal of plate validity periods.
4Adaptability or versatility
If trip-specific insurance customization is implemented, then adaptability of insurance coverage is improved, but loss of time in processing increases
Solution Approach 1:
The system pre-calculates and stores insurance rate information for different trip types, vehicle categories, and coverage levels. When a transportation assignment is created, the appropriate insurance coverage is automatically selected and applied based on pre-established criteria, providing trip-specific customization without requiring manual processing time.
Solution Approach 2:
The insurance system operates on a self-service basis where coverage is automatically assigned based on trip parameters. The system autonomously matches transportation assignments with appropriate insurance policies using pre-configured rules, eliminating manual insurance processing while maintaining adaptability to different trip requirements.
Data Source
AI summary
A system and method for allocating drivers to procure targets, such as automobiles. These targets are then transported to a desired drop-off destination. The entire system is automated, such that a requestor may hire drivers that are certified by the system and would satisfy requirements associated with the target, such as proper driver's license and location of the driver relative to the target. The system is powered by an internet based mobile application that is designed to match individual drivers to auto dealers, auction houses, driving transport companies and other businesses and individuals (“requestors”) seeking to move automobiles, goods, services, tasks, etc. from one location to another. The system has been designed to find, organize, and manage drivers and all aspects of the trip on a real time basis and reduce the cost of the existing system.