Server-Based Vehicle Route Planning and Monitoring
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Solution Overview
Problem
Conventional vehicle request management systems do not utilize digital map data at the server, leading to inefficiencies in route planning and monitoring, as route calculation typically occurs only on the vehicle's device, lacking real-time optimization and user feedback on driver adherence to the planned route.
Innovation Solution
A server-based system that calculates routes between pick-up and drop-off locations using digital map data, monitors vehicle positions, and provides users with real-time route information, allowing for alerts and rating adjustments if the driver deviates from the planned route.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If route calculation is performed only on the vehicle's device without server-based digital map data, then device complexity is reduced, but route planning efficiency and real-time monitoring capability deteriorate
Solution Approach 1:
The system divides route planning functionality between the server and vehicle device. The server handles complex digital map data processing and route calculation, while the vehicle device performs simpler tasks like receiving route instructions and reporting position. This segmentation allows efficient route planning without overloading the vehicle device.
Solution Approach 2:
The server acts as an intermediary between the user and the vehicle device. It processes digital map data, calculates optimal routes, and provides route instructions to the vehicle device. This intermediary role enables sophisticated route planning while keeping the vehicle device relatively simple.
2Reliability
If real-time route monitoring and driver adherence verification are implemented, then service reliability is improved, but system complexity increases
Solution Approach 1:
The system implements continuous feedback by monitoring the vehicle's actual position against the planned route. The server receives position data from the vehicle device, compares it with the calculated route, and can alert the driver or user if deviations occur. This feedback mechanism ensures service reliability without requiring complex local processing at the vehicle device.
Solution Approach 2:
The vehicle device automatically reports its position to the server without requiring manual input from the driver. The server then automatically verifies route adherence and manages alerts. This self-service approach reduces system complexity by automating monitoring tasks rather than requiring manual verification.
3Measurement precision
If automated driver rating adjustment based on route deviation is implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system uses feedback from automated route monitoring to adjust driver ratings. When the server detects route deviations, it automatically updates the driver's rating based on pre-defined criteria. This feedback loop provides precise measurement of route adherence while keeping the rating system manageable through automated rules rather than manual assessment.
Solution Approach 2:
The system changes the parameter of driver rating based on measured route deviation. Instead of manual rating adjustments, the rating parameter is automatically modified according to the degree and frequency of route deviations detected by the server. This approach improves measurement precision while avoiding complex rating decision processes.
Data Source
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AI summary
A vehicle request management system having a server (10) arranged to communicate with a plurality of vehicle requesting devices (12) and a plurality of vehicles (14), each being equipped with a device (200) having route planning and navigation functionality. Upon receipt of a vehicle request, the server (10) selects a suitable vehicle (14) and determines the route that the vehicle should travel to the pick-up location and then onto the drop-off location. The server (10) receives updates as to the position of the selected vehicle (14) as it completes the request, and uses data associated with the calculated route and the position of the selected vehicle (14) to provide enhanced functionality.