In-Vehicle Drive Data Discretization for Efficient Collection
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Solution Overview
Problem
Conventional Naturalistic Driving Study (NDS) systems face challenges in efficiently collecting and transmitting large amounts of versatile drive data from vehicles, as existing methods require extensive data storage and communication resources, making it impractical for general vehicles without specific data collection devices.
Innovation Solution
A drive data collection system that includes an in-vehicle system with a data collector and discretizer, which transforms raw data into standardized, discretized data parts using model information, reducing communication and storage burdens by transmitting only discretized data to an information center for accumulation and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If raw drive data is collected and transmitted from vehicles to information center, then comprehensive drive data can be obtained for analysis, but communication network burden and storage requirements increase significantly
Solution Approach 1:
The patent extracts only the essential and meaningful features from raw drive data through feature extraction units in both in-vehicle systems and the information center. Instead of transmitting all raw data, only extracted features representing key drive behaviors and conditions are transmitted, significantly reducing data volume while preserving analytical value
Solution Approach 2:
The patent transforms raw drive data into different parameter representations through discretization and feature extraction. Continuous data is converted to discrete categories, and complex parameters are transformed into simplified feature indicators that maintain informational content while reducing storage and communication requirements
2Quantity of substance
If data is discretized and standardized at in-vehicle systems before transmission, then communication efficiency and storage requirements are reduced, but data processing complexity increases at the vehicle end
Solution Approach 1:
The patent implements a universal discretization standard and feature extraction framework that can be applied across different in-vehicle systems. The same discretization rules and feature extraction algorithms are used throughout the system, allowing standardized processing that reduces individual vehicle complexity while maintaining overall system efficiency
Solution Approach 2:
The patent performs discretization and feature extraction preliminarily at the in-vehicle system before data transmission. By preprocessing data locally and converting it to standardized discrete features in advance, the system reduces the burden on the communication network and information center while maintaining data quality for subsequent analysis
3Ease of operation
If discretization rules are standardized across all participating vehicles, then data integration and analysis become easier, but flexibility in capturing vehicle-specific characteristics is reduced
Solution Approach 1:
The patent applies different discretization thresholds and feature extraction parameters tailored to specific vehicle types, driving conditions, or sensor characteristics while maintaining the overall discretization framework. This allows standardized data structures for integration while preserving vehicle-specific characteristics through localized parameter adjustments
Data Source
AI summary
A drive data collection system includes an in-vehicle system and an information center. The in-vehicle system includes a data collector that repeatedly collects measurement values indicative of various indexes regarding a state of a subject vehicle, a model memory that memorizes model information regarding discretization rules that are shared by each of participating vehicles in the system, and a data discretizer that discretizes drive data, which includes time-series measurement values collected by the data collector, into multiple data parts according to the model information. The information center includes a data accumulator that accumulates the discretized drive data in a server. The in-vehicle system sends the discretized drive data to the information center through a communicator. Therefore, the drive data collection system efficiently collects the drive data in a versatilely-utilizable manner for the analysis of general driving practices/behaviors.