Networked Vehicle Route Management for Collision Avoidance and Efficiency
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Solution Overview
Problem
Existing route management methods for networked vehicles primarily focus on individual vehicle optimization using real-time traffic information, neglecting overall network efficiency and collision avoidance among multiple vehicles.
Innovation Solution
A method that determines optimal routes and speed profiles for multiple networked vehicles to avoid collisions and optimize total efficiency ratings, including distance, time, energy usage, and carbon emissions, while also considering the presence of objects and charging stations along railed pathways.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time information is used to update the optimal route for individual vehicles, then the route accuracy for each vehicle is improved, but the overall network efficiency and collision avoidance capability deteriorate
Solution Approach 1:
The patent merges individual vehicle route optimization with network-wide optimization by having the server determine routes based on the collective state of all vehicles. The server receives real-time information from multiple vehicles and calculates routes that optimize both individual vehicle paths and overall network efficiency simultaneously, preventing collisions while maintaining route accuracy.
Solution Approach 2:
The route management system performs multiple functions: it determines optimal routes for individual vehicles, prevents collisions between vehicles, optimizes overall network efficiency, and provides real-time updates. This multi-functional approach allows a single system to address both individual vehicle needs and network-wide objectives.
2Reliability
If routes are optimized for individual vehicles independently, then the navigation accuracy for each vehicle is improved, but collision avoidance between vehicles deteriorates
Solution Approach 1:
The system implements continuous feedback by monitoring the real-time positions of all vehicles and using this information to dynamically adjust routes. The server receives position data from each vehicle, recalculates routes based on current network state, and provides updated navigation instructions, ensuring both accuracy and collision avoidance.
Solution Approach 2:
The system performs preliminary route planning that anticipates potential collisions before they occur. By calculating routes based on the current positions and destinations of all vehicles, the system proactively assigns paths that prevent collision scenarios from developing, rather than reacting after collisions occur.
Data Source
AI summary
A method of route management includes the steps of: (i) providing a plurality of vehicles; (ii) providing pathways along which the vehicles may travel; (iii) determining the current position of each of the vehicles; (iv) associating a destination with each of the vehicles; and (v) determining a first optimal route and speed profile for each vehicle from their current position to the destination, which first optimal route and speed profile for each vehicle is: determined to avoid collision between vehicles; and based on a total efficiency rating for all the vehicles.