Carbon Emission Route Optimization for Low-Carbon Vehicle Assignment
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Solution Overview
Problem
The logistics industry faces challenges in effectively quantifying carbon emissions, optimizing multi-point transportation routes, and creating incentives for carbon reduction, leading to inefficient driving routes and high carbon emissions.
Innovation Solution
A carbon emission management system with a route optimization calculation module and a carbon emission calculation module that calculates and optimizes driving routes based on vehicle type, distance, time, and carbon emission coefficients, selecting vehicles with the lowest total carbon emissions for assignments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional route planning methods are used in logistics, then driving routes are determined without optimization, but carbon emissions are high and efficiency is low
Solution Approach 1:
The system changes multiple parameters simultaneously including vehicle type selection, route optimization, and consolidation incentives to achieve both efficiency improvement and carbon emission reduction. The carbon emission calculation module uses emission factors and vehicle characteristics to quantify emissions, enabling parameter-based optimization.
Solution Approach 2:
The carbon emission management system serves multiple functions: it calculates carbon emissions, optimizes routes, selects appropriate vehicles, and provides consolidation incentives. This multi-functional approach addresses both efficiency and emissions concerns within a single integrated system.
2Measurement precision
If multiple candidate vehicles are evaluated for carbon emissions, then vehicle selection becomes optimized, but calculation complexity increases
Solution Approach 1:
The system performs self-service by automatically calculating carbon emissions for multiple candidate vehicles and selecting the optimal one without requiring manual intervention. The carbon emission calculation module autonomously evaluates vehicles based on emission factors, vehicle characteristics, and route parameters.
Solution Approach 2:
The system performs preliminary calculations of carbon emissions for all candidate vehicles before making the final selection. This advance evaluation allows for optimized vehicle assignment while managing complexity through pre-computed emission data and standardized calculation methods.
3Productivity
If route optimization is performed based on multiple factors, then driving efficiency is improved, but calculation time increases
Solution Approach 1:
The system applies partial optimization by focusing on the most impactful factors for carbon emission reduction and driving efficiency, rather than optimizing every possible parameter. This selective approach improves efficiency while limiting calculation time by concentrating on key optimization targets.
Data Source
AI summary
Provided are a carbon emission management system and a management method thereof. A route optimization calculation module calculates a driving route from a first destination to a second destination based on at least one of a vehicle type, a minimum driving distance, and a minimum driving time. A carbon emission calculation module calculates a total carbon emission of each candidate vehicle from a location thereof to an end of the driving route based on the driving route, carbon emission coefficients of the multiple candidate vehicles, and the locations thereof, and selects one of the multiple candidate vehicles as an assigned vehicle for driving the driving route based on the total carbon emission of each candidate vehicle.