Vehicle Route Carbon Analysis for Low-Emission Path Planning
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Solution Overview
Problem
Current path planning technologies fail to effectively reduce carbon emissions during vehicle operations, which contribute to the greenhouse effect.
Innovation Solution
A path planning method and system using data calculation analysis that collects driving process data from vehicles, calculates carbon emissions for each road section, compares actual emissions to minimum emissions, and generates a notification for routes with significant carbon reduction opportunities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If path planning is implemented to reduce carbon emissions, then environmental pollution is reduced, but system complexity increases due to data collection and calculation requirements
Solution Approach 1:
The patent segments the path planning system into distinct functional modules: a data collection module that gathers driving process data from sensors, a calculation module that computes carbon emissions for each road section, and a path planning module that determines optimal routes. This segmentation allows each module to perform its specific function independently, reducing overall system complexity while achieving carbon emission reduction goals.
Solution Approach 2:
The patent introduces an intermediary calculation system that processes raw driving data and transforms it into carbon emission metrics. This intermediary layer acts as a mediator between the physical driving process and the path planning decision-making process, simplifying the integration of environmental considerations into route selection without requiring direct modification of the vehicle control system.
2Measurement precision
If carbon emission data is collected and analyzed for each road section, then path planning accuracy is improved, but data processing time increases
Solution Approach 1:
The patent performs preliminary calculations of carbon emissions for various road sections during periods when the vehicle is stationary or during low-computation periods. By pre-calculating emission data for different route options and storing this information, the system avoids time-consuming real-time calculations when path planning decisions are needed, thus maintaining high measurement precision while reducing data processing time during critical decision moments.
Data Source
AI summary
A path planning method using data calculation analysis comprising: calculating a driving process data generated by a specific vehicle during the operation of a predetermined driving route by at least one sensor, electronic devices or big data model of the specific vehicle using the vehicle carbon emission data collection algorithm; calculating carbon emissions of each section of the predetermined driving route based on the driving process data; obtaining an actual carbon emissions according to the carbon emissions of each road section by performing a comprehensive addition operation; comparing the actual carbon emissions with a minimum carbon emissions to realize whether an actual carbon reduction amount is above a first predetermined value; when the actual carbon reduction amount is above the first predetermined value, a notification signal is generated for the user to drive on the predetermined driving route.