Automated Vehicle Route Control for Real-Time Navigation Issues
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Solution Overview
Problem
Current methods for generating and adjusting vehicle travel routes are inaccurate, inflexible, and resource-intensive, particularly when unforeseen issues arise, leading to complex and time-consuming processes.
Innovation Solution
An automated vehicle control system that uses a processor to generate an original route, monitor vehicular and environmental attributes, and determine if the vehicle should continue on the original route or divert based on navigational issues, allowing for real-time modifications to the route.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional route generation methods are used, then route planning can be completed, but the process is inaccurate and inflexible when unforeseen issues arise
Solution Approach 1:
The system dynamically adjusts the vehicle route based on real-time monitored environmental attributes and navigational issues. The processor continuously evaluates current conditions and modifies the route parameters during vehicle operation, transforming the static route planning into a dynamic adaptive process that maintains both accuracy and flexibility
Solution Approach 2:
The system implements a feedback mechanism where the processor receives monitored vehicular attributes and environmental attributes, determines navigational issues based on this feedback, and uses this information to adjust the route. This closed-loop feedback system ensures the route remains accurate while adapting to unforeseen issues
2Adaptability or versatility
If traditional route adjustment processes are used to handle unforeseen issues, then route modifications can be made, but the process is complicated and time-consuming
Solution Approach 1:
The system performs preliminary actions by continuously monitoring environmental attributes and vehicular attributes before unforeseen issues fully manifest. The processor proactively identifies potential navigational issues and adjusts the route in advance, preventing the need for complicated reactive modifications when problems occur
Solution Approach 2:
The system enables self-service by allowing the processor to autonomously determine navigational issues based on monitored attributes and automatically adjust the route without requiring external intervention. This self-directed route modification process reduces both complexity and time loss compared to traditional manual adjustment methods
3Adaptability or versatility
If traditional route modification methods are used, then route changes can be implemented, but a large amount of resources are required
Solution Approach 1:
The system replaces mechanical or manual route modification processes with an automated electronic system. The processor electronically adjusts route parameters based on monitored attributes, substituting physical resource-intensive methods with computationally efficient digital operations that require minimal additional resources
Data Source
AI summary
A method and system for automatically controlling a vehicle is provided. The method includes generating an original route of travel for a first vehicle for travel from an original location to a destination location. The vehicle is directed from the original location to the destination location such that the vehicle initiates motion and navigates the original route of travel towards the destination location in accordance with the original route of travel. Monitored vehicular attributes of the first vehicle are received and environmental attributes associated with the original route of travel are monitored with respect the first vehicle. Navigational issues associated with the vehicle traveling along the original route of travel are determined based on the monitored vehicular attributes and results of monitoring the environmental attributes. The navigational issues are used to determine if the vehicle should continue to travel along the original route of travel.