Context-Aware Vehicle Re-Routing System
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Solution Overview
Problem
Current navigation systems lack the ability to effectively determine and propagate re-routing decisions based on context, particularly when a vehicle deviates from a planned route, which can lead to inefficiencies and potential hazards for other vehicles following the same route.
Innovation Solution
A system that tracks vehicle movement, determines the reason for deviation from a planned route, and analyzes data from various sources to decide whether to reroute other vehicles, using artificial intelligence and machine learning to predict re-routing reasons and propagate new routes to avoid potential issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If navigation systems present a preferred route to vehicle operators without context-based re-routing analysis, then the system operation is simple and fast, but other vehicles following the same route may encounter hazards or inefficiencies that could have been avoided
Solution Approach 1:
The system performs preliminary analysis of re-routing context before propagating route information to other vehicles. When a vehicle deviates from its planned route, the system first determines the context (traffic conditions, accidents, construction, etc.) before deciding whether to reroute other vehicles, thus preventing harmful information propagation while maintaining system simplicity where applicable
Solution Approach 2:
The server acts as an intermediary between individual vehicle navigation systems. It collects route deviation data, analyzes the context using multiple data sources (traffic data, map data, sensor data), and propagates re-routing information to other vehicles only when context indicates it is beneficial, thus resolving the contradiction between simple operation and reliable safety
2Reliability
If the system gathers and analyzes data from multiple sources to determine re-routing context, then route decision reliability improves, but the data processing time and computational resources increase
Solution Approach 1:
The system gathers data from multiple sources (traffic data, map data, sensor data from the subject vehicle, sensor data from other vehicles) but only processes and analyzes data that is relevant to the specific re-routing context. Not all data sources are queried equally - the system performs partial data gathering based on the situation, balancing reliability with processing time
Solution Approach 2:
The system applies different levels of data analysis to different aspects of the re-routing decision. It focuses computational resources on analyzing the specific context (accident, construction, traffic pattern) that triggered the re-routing, rather than uniformly processing all possible data sources, thus improving efficiency while maintaining decision accuracy
3Productivity
If the system propagates re-routing decisions to other vehicles based on context analysis, then traffic flow efficiency improves, but the complexity of coordinating multiple vehicles increases
Solution Approach 1:
The server performs multiple functions within a single coordinated system: it collects route deviation data, determines re-routing context, analyzes multiple data sources, makes re-routing decisions, and propagates decisions to multiple vehicles. This multi-functionality reduces coordination complexity by consolidating what could be distributed across multiple independent systems into a single universal platform
Data Source
AI summary
Systems and methods are provided for vehicle re-routing context determination for a subject vehicle, including: tracking movement of the subject vehicle as the subject vehicle is following a planned route; determining whether a deviation of the subject vehicle from the planned route indicates a user-initiated re-routing of the subject vehicle from the planned route; gathering data from a plurality of sources indicating a route condition leading to the user-initiated re-routing; analyzing the gathered data to determine a reason for the user-initiated re-routing; and based on the reason, determining whether to reroute other vehicles to avoid the reason for the user-initiated re-routing.