Emergency Signaling Placement for Autonomous Vehicle Breakdowns
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Solution Overview
Problem
Autonomous vehicles lack the capability to autonomously deploy emergency roadside signaling devices when experiencing mechanical failures or unsafe driving conditions, necessitating human intervention to ensure safety and compliance with regulations.
Innovation Solution
A system comprising signaling devices, a processor, and a computer-readable memory that determines malfunctions and instructs an object placing device to deploy signaling devices on or near the roadway, utilizing GPS, maps, and sensors to select optimal placement locations based on the vehicle's location and regulations, with signaling device transportation vehicles to position the devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles are equipped with emergency signaling systems, then road safety is improved, but device complexity increases
Solution Approach 1:
The emergency signaling system is divided into separate functional modules: signaling devices (reflective triangles, flares), transportation vehicles (drones, ground vehicles), placement mechanisms, and control systems. Each module operates independently but coordinates through the processor, reducing overall system complexity while maintaining safety functionality.
Solution Approach 2:
The autonomous vehicle pre-equips itself with emergency signaling devices and transportation vehicles before malfunctions occur. The system is prepared in advance with multiple deployment options (aerial drones, ground vehicles, direct placement mechanisms) so that when an emergency occurs, the appropriate pre-configured solution can be immediately activated without complex real-time decision-making about system architecture.
2Loss of time
If signaling devices are automatically deployed, then response time is improved, but manufacturing complexity increases
Solution Approach 1:
The autonomous vehicle's emergency signaling system operates autonomously without human intervention. The processor detects malfunctions through sensor data, automatically selects appropriate signaling devices and transportation methods, calculates optimal placement locations using GPS and map data, and executes deployment. This self-service capability eliminates the need for complex human-machine interfaces and manual activation mechanisms, simplifying manufacturing while achieving rapid response times.
3Manufacturing precision
If multiple transportation vehicles are used to deploy signaling devices, then placement precision is improved, but device complexity increases
Solution Approach 1:
The system employs dynamic selection of transportation vehicles based on real-time conditions. The processor evaluates environmental factors (road conditions, weather, traffic), vehicle capabilities (drone flight range, ground vehicle speed), and placement requirements to dynamically choose the most appropriate transportation method. This dynamic adaptation allows precise placement without requiring all possible transportation vehicles to be active simultaneously, reducing operational complexity while maintaining placement precision.
Solution Approach 2:
The processor acts as an intermediary that coordinates between multiple transportation vehicles and signaling devices. It receives sensor data, processes location information from GPS and maps, determines optimal placement locations according to regulations, and directs transportation vehicles to precise coordinates. This centralized coordination simplifies the control architecture compared to distributed autonomous decision-making in each vehicle, reducing overall system complexity while achieving precise placement.
Data Source
AI summary
Systems and methods for deploying emergency roadside signaling devices are disclosed. In one aspect, system for an autonomous vehicle includes one or more signaling devices configured to visually notify other vehicles when placed on or near a roadway, and an object placing device configured to place the one or more signaling devices. The system further includes a processor and a computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the processor to: determine that the autonomous vehicle has experienced a malfunction, and provide instructions to the object placing device to place the one or more signaling devices on or near the roadway.