Vehicle Dispatch Planning Using Multi-Factor Energy Evaluation
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Solution Overview
Problem
Existing vehicle dispatch plans fail to consider varying factors that affect fuel efficiency, leading to unsatisfactory energy consumption and dispatch efficiency.
Innovation Solution
A system and program product that calculates an evaluation index for each vehicle dispatch plan candidate, considering energy consumption, carbon dioxide emissions, and travel cost, to determine the plan with the lowest overall index value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If existing vehicle dispatch plan creation methods are used, then the planning process is simple, but energy consumption and carbon dioxide emissions are not effectively reduced
Solution Approach 1:
The patent applies parameter changes by considering multiple variables including road slope, traffic conditions, vehicle load, and weather conditions to dynamically calculate evaluation indices. This transforms the dispatch planning from a static process to a dynamic one that adapts to changing parameters, thereby reducing energy consumption while managing complexity through systematic parameter integration.
Solution Approach 2:
The patent replaces traditional mechanical/manual dispatch planning methods with an automated calculation system that uses computers to evaluate multiple plan candidates based on predetermined indices. This substitution of mechanical processes with computational algorithms enables comprehensive energy optimization without proportionally increasing operational complexity.
2Object-generated harmful factors
If existing vehicle dispatch plan creation methods are used, then the planning process is simple, but carbon dioxide emissions are not effectively reduced
Solution Approach 1:
The patent replaces traditional mechanical/manual dispatch planning methods with an automated calculation system that uses computers to evaluate multiple plan candidates based on predetermined indices. This substitution of mechanical processes with computational algorithms enables comprehensive energy optimization without proportionally increasing operational complexity.
Solution Approach 2:
The patent implements feedback mechanisms by calculating evaluation indices for each plan candidate and using these results to determine the optimal dispatch plan. The system continuously refines planning decisions based on calculated outcomes, creating a closed-loop system that reduces carbon dioxide emissions while maintaining manageable complexity through iterative optimization.
3Use of energy by moving object
If multiple evaluation factors are considered, then energy consumption and emissions are reduced, but calculation complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the evaluation process into distinct components: road condition evaluation, traffic condition evaluation, vehicle condition evaluation, and weather condition evaluation. Each factor is assessed separately using specific indices, and the results are aggregated to determine the overall optimal plan. This segmentation reduces calculation complexity by breaking down a complex problem into manageable, independent evaluation modules.
Solution Approach 2:
The patent applies parameter changes by considering multiple variables including road slope, traffic conditions, vehicle load, and weather conditions to dynamically calculate evaluation indices. This transforms the dispatch planning from a static process to a dynamic one that adapts to changing parameters, thereby reducing energy consumption while managing complexity through systematic parameter integration.
Data Source
AI summary
In a vehicle dispatch plan creating system, a calculator calculates, for each plan candidate, a value of an evaluation index for each vehicle assuming that the corresponding vehicle travels in accordance with the corresponding plan candidate. The evaluation index for each vehicle includes at least one of:(i) an energy consumption of the corresponding vehicle;(ii) a quantity of carbon dioxide emissions from the corresponding vehicle; and(iii) a cost required for a travel of the corresponding vehicle.The calculator calculates, for each plan candidate, the sum of the values of the evaluation index for the respective vehicles as a value of a candidate evaluation index for the corresponding plan candidate. A determiner determines one of the plan candidates as a vehicle dispatch plan. The determined one of the plan candidates has the lowest value of the candidate evaluation index in all the plan candidates.


