Autonomous Vehicle Dispatch Control for Emergency Response Tasks
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Solution Overview
Problem
Current systems face challenges in effectively controlling autonomous vehicles, particularly in providing automated emergency response functions, due to differences in vehicle capabilities and the need for decoding and processing large amounts of information.
Innovation Solution
A computing platform with a processor, memory, and communication interface receives vehicle data to detect emergencies, selects appropriate autonomous vehicles, and generates dispatch commands for emergency response functions, including navigation and execution of tasks like delivering supplies or providing medical assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles are equipped with sophisticated sensor technologies and navigation systems to improve emergency response capabilities, then the vehicle's emergency response functionality is improved, but the device complexity increases
Solution Approach 1:
The system segments the autonomous vehicle control into modular components: on-board vehicle monitoring systems in individual vehicles, central computing platforms for coordination, and communication networks for data exchange. This segmentation allows each component to be optimized independently while maintaining overall system reliability for emergency responses.
Solution Approach 2:
The patent implements a universal communication protocol and data format that enables different autonomous vehicle types with varying capabilities to be coordinated through a single central platform. The system can dispatch vehicles for multiple emergency response functions including transporting supplies, providing medical assistance, and delivering emergency personnel, making the overall system multi-functional.
2Measurement precision
If large amounts of vehicle data are collected and processed to improve emergency detection accuracy, then the measurement precision is improved, but the loss of time increases due to decoding and processing requirements
Solution Approach 1:
The system performs preliminary actions by continuously collecting and pre-processing vehicle data during normal operations before emergencies occur. The central computing platform maintains updated profiles of vehicle capabilities, locations, and statuses, so when an emergency is detected, the pre-processed data can be quickly analyzed and vehicles can be rapidly dispatched without extensive real-time processing delays.
Data Source
AI summary
Aspects of the disclosure relate to controlling autonomous vehicles to provide automated emergency response functions. A computing platform may receive vehicle data associated with a vehicle from an on-board vehicle monitoring system associated with the vehicle. Subsequently, the computing platform may detect an occurrence of an emergency at a location. Thereafter, the computing platform may select an autonomous vehicle to respond to the emergency at the location based on autonomous vehicle state information. Then, the computing platform may generate one or more dispatch commands directing the autonomous vehicle to move to the location and execute one or more emergency response functions. Subsequently, the computing platform may send, to an on-board autonomous vehicle control system associated with the autonomous vehicle, the one or more dispatch commands directing the autonomous vehicle to move to the location and execute the one or more emergency response functions.