Vehicle Assessment System Using Sensor Data for Route Optimization
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Solution Overview
Problem
Manual assessment of vehicle performance and route evaluation by fleet operators is labor-intensive, time-consuming, and often inaccurate, failing to promptly address poor driver behavior or vehicle maintenance needs, and does not adapt to changing route conditions.
Innovation Solution
A vehicle assessment system that automatically evaluates vehicle performance and route segments using sensor data from vehicles, communicating over a network to determine poor operation or undesirable routes, and issues notifications for driver training or maintenance, while optimizing route selection based on aggregated measurement data and baseline calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual assessment of vehicle performance and route evaluation is performed by fleet operators, then human judgment and flexibility can be applied, but the process becomes labor-intensive, time-consuming, and inaccurate
Solution Approach 1:
The patent replaces manual mechanical assessment processes with an automated electronic system that collects sensor data from vehicles, processes it through servers, and generates performance evaluations automatically. This substitution eliminates human labor while maintaining or improving assessment accuracy through consistent, data-driven metrics.
Solution Approach 2:
The system enables vehicles to self-report their operational data through onboard sensors that automatically collect and transmit information about vehicle performance, route conditions, and driver behavior. This self-service approach eliminates the need for manual data collection while providing continuous, accurate assessment information.
2Reliability
If manual monitoring is used to address poor driver behavior or vehicle maintenance needs, then human operators can make decisions, but the response time is delayed and labor costs increase
Solution Approach 1:
The system implements continuous feedback loops where sensor data is constantly monitored, analyzed, and used to generate real-time alerts and notifications. When poor driver behavior or maintenance needs are detected, the system automatically notifies relevant parties, ensuring timely intervention without requiring complex manual monitoring procedures.
Solution Approach 2:
The system performs preliminary assessments of vehicle performance and driver behavior continuously in the background, identifying issues before they become critical problems. This proactive approach allows for preventive maintenance and early correction of poor driving habits, improving reliability while keeping the system architecture relatively simple.
3Adaptability or versatility
If static route selection is used, then route planning is simple, but the system cannot adapt to changing route conditions
Solution Approach 1:
The patent transforms static route selection into a dynamic system that continuously adapts to changing conditions. The server receives real-time sensor data about route conditions, vehicle performance, and external factors, then automatically adjusts route recommendations to optimize performance while managing the complexity through automated processing.
Solution Approach 2:
The system performs preliminary evaluation of multiple potential routes based on historical data and current conditions, pre-calculating optimal paths before vehicles depart. This advance preparation allows the system to adapt quickly to changing conditions without requiring complex real-time decision-making, balancing adaptability with manageable complexity.
Data Source
AI summary
A system determines a baseline of at least one route segment based on measurement data received from a plurality of vehicles. The system receives first measurement data of a first vehicle that has traveled along the at least one route segment, and compares the first measurement data to the baseline. Based on the comparing, the system determines whether operation of the first vehicle is within an acceptable tolerance of a performance criterion, and determines whether the at least one route segment is an undesirable route segment according to a route criterion.