Autonomous Vehicle Trigger Mapping for Offline Smart Ride Routines
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Solution Overview
Problem
Current technologies lack conditional automation systems for improving customer convenience and satisfaction in ride-hailing and ride-sharing services, particularly in autonomous vehicle deployments, where pre-defined inputs can be effectively mapped to trigger specific outputs or notifications.
Innovation Solution
A conditional autonomous vehicle platform that receives various inputs and maps them onto pre-defined output signals, enabling user-configurable trigger-output pairings for services like ride dispatch, route changes, and in-cabin environmental adjustments, using a network-based system that integrates with multiple devices and data sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conditional automation systems are implemented in autonomous vehicles, then customer convenience and satisfaction are improved, but device complexity increases
Solution Approach 1:
The system is divided into discrete trigger-output pairs, where each trigger condition is independently defined and mapped to a specific output action. This segmentation allows the complex automation system to be built from simple, manageable units that can be configured without requiring deep system knowledge.
Solution Approach 2:
A platform layer is introduced as an intermediary between input devices and output devices. This platform handles the complex mapping logic and conditional processing, shielding users from the underlying system complexity while enabling sophisticated automation behaviors through simple trigger-output configurations.
2Adaptability or versatility
If user-configurable trigger-output mappings are implemented, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system pre-defines available triggers and outputs, and pre-establishes the mapping framework. Users can then configure specific trigger-output pairs by selecting from predefined options rather than creating automation logic from scratch, reducing configuration complexity while maintaining high adaptability.
Solution Approach 2:
The platform provides universal trigger and output components that can be combined in multiple ways to create different automation scenarios. The same set of triggers and outputs can serve multiple purposes across different ride-hailing and ride-sharing services, enabling versatility without proportionally increasing complexity.
3Productivity
If network-based conditional processing is implemented, then service functionality is improved, but reliability deteriorates in scenarios without network connectivity
Solution Approach 1:
Trigger-output mappings are pre-configured and stored locally in the autonomous vehicle before network connectivity is required. This allows the vehicle to execute automated services offline without needing continuous network communication, maintaining reliability in disconnected scenarios while enabling efficient network-based processing when available.
Solution Approach 2:
The autonomous vehicle's local system independently evaluates trigger conditions and executes corresponding outputs using stored mappings, without requiring continuous network verification. This self-service capability ensures operational reliability offline while allowing the network to provide updates and synchronization when connected.
Data Source
AI summary
The subject disclosure relates to techniques for implementing conditional automation systems and in particular, for facilitating conditional automation in the context autonomous vehicle (AV) transportation services. Some aspects of the disclosed technology include methods that include steps for receiving an event trigger at a conditional autonomous vehicle (AV) platform, mapping the event trigger onto a conditional output, and sending the conditional output to an autonomous vehicle (AV) associated with the event trigger, wherein the conditional output is configured to update a navigation instruction followed by the AV. Systems and machine-readable media are also provided.