Delivery Route and Docking Coordination Using Real-Time Vehicle Tracking
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Solution Overview
Problem
Existing systems lack efficient coordination and tracking of item delivery processes, particularly in managing vehicle routes, docking, staffing, and cargo handling at delivery facilities.
Innovation Solution
A system comprising a server with databases for location, route, geofencing, and staffing, along with a mobile device for scanning and communication, to dynamically manage and coordinate delivery operations, including generating docking plans and staffing requirements based on real-time location data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual tracking and coordination methods are used for vehicle routes and docking, then system complexity is reduced, but productivity and delivery efficiency deteriorate
Solution Approach 1:
The patent replaces manual mechanical tracking and coordination methods with an automated electronic system. Mobile devices equipped with GPS receivers automatically transmit location data to a server, which processes routing and docking information, eliminating the need for manual route planning and docking coordination while significantly improving delivery efficiency
Solution Approach 2:
The system enables self-service through automated route optimization and docking coordination. The server automatically processes location data from mobile devices, generates optimal routing instructions, and coordinates docking assignments without requiring manual intervention, allowing the system to serve itself in managing delivery operations
2Loss of information
If real-time location tracking is implemented for all vehicles, then delivery coordination improves, but information processing requirements and system complexity increase
Solution Approach 1:
The server performs multiple functions within a single system: receiving location data, determining routing information, coordinating docking assignments, and managing cargo manifests. This multi-functional approach consolidates data processing requirements while maintaining comprehensive real-time tracking information accuracy
Solution Approach 2:
The server acts as an intermediary between mobile devices and the central facility operations. It receives raw location data from mobile devices, processes this information through algorithms, and generates optimized routing and docking instructions, thereby managing information processing complexity while maintaining tracking accuracy
3Loss of time
If automated docking plans are generated based on location data, then docking coordination efficiency improves, but system complexity and computational requirements worsen
Solution Approach 1:
The server generates docking plans in advance based on predicted vehicle arrivals and facility capacity. By performing preliminary docking coordination before vehicles arrive, the system eliminates on-site coordination delays while the computational complexity is managed through algorithmic optimization of docking assignments
4Loss of time
If comprehensive route optimization is implemented, then delivery time efficiency improves, but computational complexity and processing requirements worsen
Solution Approach 1:
The system dynamically optimizes routes based on real-time location data and changing conditions. Rather than static pre-planned routes, the server continuously processes GPS information from mobile devices and generates updated routing instructions, achieving time efficiency through adaptive optimization while managing computational complexity through incremental updates
Data Source
AI summary
A system and method for tracking the progress of item delivery delivering items. In some embodiments, item delivery can use a mobile device to track the location, current route, and cargo for a vehicle they are using to deliver items. A central server can receive this information and determine a docking and staffing plan for an item delivery facility based on the information.