CO2 Emission Estimation for Route Timing Optimization
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Solution Overview
Problem
Existing route search methods may not effectively reduce CO2 emissions, as they solely focus on minimizing emissions without considering optimal movement timings.
Innovation Solution
A recommendation system that acquires movement information, estimates CO2 emission amounts for different movement timings, and determines facilities for the user to visit, thereby recommending movement timings that coincide with lower emissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If the route is selected to minimize CO2 emission amount, then the CO2 emission amount is reduced, but the movement timing cannot be optimized for further emission reduction
Solution Approach 1:
The patent segments the route search problem into two distinct components: (1) route selection based on CO2 emission minimization, and (2) movement timing optimization based on predicted emission amounts at different times. This segmentation allows each component to be optimized independently, resolving the contradiction between route optimization and timing adaptability.
Solution Approach 2:
The patent introduces dynamic timing optimization by predicting CO2 emission amounts for multiple different movement timings and selecting the optimal departure time. This transforms the static route selection into a dynamic system that adapts to varying emission conditions at different times, thereby achieving both emission reduction and timing optimization.
2Object-generated harmful factors
If multiple movement timings are evaluated, then optimal timing can be selected for emission reduction, but the system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing predicted CO2 emission amounts for multiple movement timings before the actual travel decision is made. This preprocessing allows the system to quickly select the optimal timing without complex real-time calculations, thereby reducing system complexity while maintaining emission optimization capability.
Solution Approach 2:
The patent uses simplified emission prediction models that provide adequate accuracy without requiring complex, resource-intensive calculations. These lightweight prediction mechanisms act as disposable, computationally inexpensive estimates that enable timing optimization without significantly increasing system complexity.
Data Source
AI summary
A recommendation system includes an acquisition unit configured to acquire movement information indicating a departure point and a destination related to a future movement of a user using a means of transportation emitting CO2, an emission amount estimation unit configured to estimate, for a movement related to the movement information acquired by the acquisition unit, a CO2 emission amount due to the movement for each of a plurality of movement timings different from each other, and a determination unit configured to determine a facility that the user can visit during the movement and that is recommended to the user, on the basis of the CO2 emission amount for each movement timing, estimated by the emission amount estimation unit.