Route Guidance Using Gradient and Speed for Vehicle Load Estimation
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Solution Overview
Problem
Existing vehicle dispatch services and taxi companies face challenges in accurately estimating vehicle load for each travel route, leading to increased maintenance frequency and costs, such as gear changes and oil changes, which can be mitigated by improving load estimation accuracy.
Innovation Solution
A travel route guidance device and method that includes a route acquisition unit, gradient distribution acquisition unit, vehicle speed acquisition unit, load estimation unit, and notification unit to provide accurate load estimation based on road gradient, vehicle speed, and traffic congestion information, further considering curvature and transmission oil temperature.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle load estimation is performed using basic parameters only, then the estimation process is simple, but the estimation accuracy is insufficient leading to increased maintenance frequency
Solution Approach 1:
The patent segments the load estimation process into multiple independent components: gradient distribution acquisition, vehicle speed acquisition, curvature distribution acquisition, and load calculation. Each component processes specific parameters separately, allowing for improved accuracy through comprehensive data collection while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The system performs preliminary acquisition of gradient distribution and curvature distribution data before actual load estimation. By pre-collecting road condition information and storing it for later use, the system enables accurate load estimation without requiring complex real-time processing, thus improving accuracy while controlling complexity.
2Reliability
If comprehensive parameters including gradient, vehicle speed, and curvature are used for load estimation, then maintenance cost is reduced, but the data processing complexity increases
Solution Approach 1:
The system utilizes readily available data from existing vehicle sensors and public road information databases to perform load estimation. By leveraging data that is already collected by the vehicle's onboard systems and publicly accessible road gradient/curvature information, the system achieves reliable load estimation for maintenance cost reduction without requiring additional complex measurement devices or processing infrastructure.
3Measurement precision
If real-time vehicle speed data from other vehicles is acquired, then load estimation accuracy improves, but information processing requirements increase
Solution Approach 1:
The system performs preliminary acquisition and storage of vehicle speed information from other vehicles traveling on the same route before conducting load estimation. By collecting and caching this data in advance, the system can reference pre-processed speed information during load calculation, improving measurement precision while reducing the need for complex real-time information processing and minimizing information loss.
Data Source
AI summary
The traveling route guidance device includes a route acquisition unit that acquires a plurality of traveling routes from a current position of the vehicle to a destination, a gradient distribution acquisition unit that acquires a distribution of a gradient of each road surface of the plurality of traveling routes, a vehicle speed acquisition unit that acquires a vehicle speed of another vehicle traveling on each of the plurality of traveling routes, a load estimation unit that estimates a load of the vehicle when traveling on the traveling route based on the distribution of the gradient for each traveling route and the vehicle speed, and a notification unit that notifies the plurality of traveling routes and the load to an occupant of the vehicle.