Unified Hazard Map for Fleet Route Risk Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems face challenges in efficiently integrating and utilizing weather and traffic information from disparate sources to manage vehicle fleets, leading to inefficient and error-prone decision-making for route management.
Innovation Solution
A unified map system that combines geographic, weather, and traffic data with real-time vehicle inputs to generate a comprehensive view of potential hazards and conditions, enabling proactive measures such as route adjustments and alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If weather and traffic information are obtained from multiple separate data sources, then the comprehensiveness of hazard information is improved, but the complexity of data integration and processing increases
Solution Approach 1:
The patent combines multiple separate data sources (weather data, traffic data, vehicle sensor data) into a unified data processing system that generates comprehensive hazard information. The system merges these disparate data streams through a common processing architecture that correlates and integrates them to provide holistic hazard assessment.
Solution Approach 2:
The patent introduces an intermediary processing layer that acts as a mediator between raw data sources and the fleet management system. This intermediary layer standardizes data formats, correlates information across sources, and presents unified hazard information, thereby reducing the complexity of direct multi-source integration.
2Measurement precision
If real-time data from multiple sources is processed, then the accuracy of hazard assessment is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary processing and filtering of data from multiple sources before full integration. By pre-processing weather data, traffic data, and vehicle sensor data separately and preparing them in advance, the system reduces the computational burden during real-time hazard assessment while maintaining accuracy.
Solution Approach 2:
The patent applies different processing levels to different data sources based on their specific characteristics and relevance. Not all data sources are processed with the same depth or frequency - the system optimizes processing intensity for each data type based on its importance and update rate, thereby reducing overall processing time while maintaining assessment accuracy.
3Reliability
If comprehensive hazard information is provided to fleet managers, then the quality of decision-making is improved, but the complexity of information presentation increases
Solution Approach 1:
The patent segments comprehensive hazard information into distinct, organized categories (weather-related hazards, traffic-related hazards, vehicle-specific hazards). This segmentation allows fleet managers to access and understand specific hazard types without being overwhelmed by the full complexity of all available data, while still providing complete information for decision-making.
Solution Approach 2:
The patent transforms multi-dimensional raw data from multiple sources into a simplified, unified hazard information representation. By changing the dimensionality of data presentation - converting complex multi-source data into standardized hazard categories with clear risk levels - the system maintains comprehensive information while greatly improving ease of access and understanding.
Data Source
AI summary
The present application discloses a method, system, and computer system for performing an active measure for managing one or more vehicles. The method includes (a) obtaining, by one or more processors, context information for one or more vehicles, (b) obtaining a plurality of hazard information from a one or more data sources, (c) determining whether to perform an active measure for managing a target vehicle of the one or more vehicles based at least in part on one or more of the following: the context information, a route of the target vehicle, a location of the target vehicle, and the plurality of hazard information, and (d) in response to determining to perform the active measure for managing the one or more vehicle, performing the active measure.


