Autonomous Vehicle Dispatch for Capability-Based Emergency Response
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Solution Overview
Problem
Current systems face challenges in effectively controlling and directing autonomous vehicles, especially in emergency response situations, 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 from on-board monitoring systems to detect emergencies and select appropriate autonomous vehicles for response, generating dispatch commands to execute emergency functions such as delivering supplies or providing medical assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a computing platform receives and processes vehicle data from multiple on-board monitoring systems to detect emergencies and select appropriate autonomous vehicles, then the emergency response effectiveness is improved, but the amount of information requiring decoding and processing increases
Solution Approach 1:
The system segments the information processing task by creating standardized data formats for different vehicle types and monitoring systems. Each vehicle type has its own data structure template, allowing the computing platform to process information in organized, manageable segments rather than handling raw heterogeneous data uniformly.
Solution Approach 2:
The system changes the parameter of data representation by implementing standardized formats that transform diverse vehicle data into a unified structure. This standardization changes how information is encoded and transmitted, making it easier to decode and process without losing vehicle-specific capabilities information.
2Reliability
If the computing platform selects autonomous vehicles based on comprehensive state information including location and capabilities, then the appropriateness of vehicle selection for emergency response is improved, but the time required to process and analyze the data increases
Solution Approach 1:
The system performs preliminary actions by pre-defining data structures and capability templates for different vehicle types before emergencies occur. Vehicle state information is continuously monitored and pre-processed according to standardized formats, so when an emergency arises, the computing platform can quickly query and compare pre-formatted data without performing complex decoding in real-time.
Solution Approach 2:
The system uses copying by creating standardized templates and profiles for different vehicle types. Instead of processing unique raw data from each vehicle, the system copies and fills standardized data structures with vehicle-specific information, enabling rapid comparison and selection while maintaining accuracy about each vehicle's capabilities and state.
3Adaptability or versatility
If the system supports multiple vehicle types with different capabilities in the autonomous vehicle fleet, then the versatility of emergency response functions is improved, but the difficulty of controlling and directing these vehicles increases
Solution Approach 1:
The system implements universality by creating a standardized control interface and data exchange protocol that works across all vehicle types. The computing platform sends generic dispatch commands that are interpreted according to each vehicle's capability profile, allowing one control system to manage diverse vehicle types without requiring vehicle-specific control logic.
Solution Approach 2:
The system applies local quality by allowing each vehicle type to have its own capability profile and data structure while maintaining a unified overall system. Each vehicle's specific capabilities are defined locally in its profile, but the standardized format allows the central platform to manage all vehicles uniformly, combining versatility with ease of operation.
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.