Driverless Vehicle Coordination System for Emergency Response
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Solution Overview
Problem
Current systems for managing driverless vehicles lack an efficient mechanism to coordinate their response to emergency situations, such as accidents or incidents, in a way that optimizes their capabilities and location for effective intervention.
Innovation Solution
A system that constructs vehicle records based on capabilities and location, selects suitable driverless vehicles for incidents using machine learning techniques, directs them to the incident location, and evaluates their performance, generating reports and incentives for owners.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If driverless vehicles are deployed to respond to emergency incidents, then public safety is improved and response time is reduced, but the complexity of coordinating and managing these vehicles increases
Solution Approach 1:
The patent introduces a central coordination system that acts as an intermediary between emergency incident locations and driverless vehicles. This system receives incident information, queries the database of available vehicles, selects appropriate vehicles based on capabilities and location, and directs them to incident locations. This intermediary structure manages the complexity of coordinating multiple vehicles while enabling effective emergency response for public safety improvement.
2Productivity
If a database of driverless vehicles with capability information is constructed, then vehicle selection for incidents is optimized, but the time and resources required to maintain the database increase
Solution Approach 1:
The patent implements preliminary action by constructing a database of driverless vehicles in advance, populating it with vehicle information including capabilities, locations, and availability status before emergencies occur. This pre-established database enables rapid vehicle selection when incidents arise, improving response efficiency. The system maintains this database through periodic updates and queries, balancing the upfront investment with ongoing operational benefits.
3Reliability
If multiple driverless vehicles are coordinated to respond to incidents, then response effectiveness is improved, but the difficulty of managing and directing vehicles increases
Solution Approach 1:
The patent implements feedback mechanisms where the coordination system continuously monitors vehicle locations, availability status, and incident resolutions. The system queries the database to identify available vehicles, selects appropriate ones based on capabilities and proximity to incidents, directs them to incident locations, and updates the database based on vehicle responses and incident outcomes. This closed-loop feedback system simplifies the management of multiple vehicles by providing real-time information and automated decision-making support.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, constructing a vehicle record for a driverless vehicle that indicates capabilities of the vehicle for responding in an emergency; receiving an alert regarding an incident; analyzing a database to identify available vehicles for responding to the incident; selecting a vehicle from the available vehicles in accordance with selection criteria including a current vehicle location and capabilities of the vehicle; directing the selected vehicle to the incident location; directing the selected vehicle to perform one or more actions to respond to the incident; receiving data from the selected vehicle regarding performance of the actions; analyzing the data to evaluate the performance; and generating a report of the incident including an indication of the performance. Other embodiments are disclosed.