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車載通訊應用於最適食物里數推論之研究

The Adaptable Food Mileage Services Inference Based on Vehicular Communications

摘要


近年來由於二氧化碳濃度過高,造成全球溫室效應,使得世界各地暖化問題日益嚴重。因此,環境保護學者開始提出“食物里數”計算,藉此減少二氧化碳的產生。本研究提出一個可以收集即時路況和予以最佳路徑選擇之運輸派送的三階式之“食物里數最佳化系統(Food Mileage Optimization System,FMOS)”,整合以Web Services為基礎之車際通訊節點,經由無線傳輸進行即時路況收集,取得各道路之即時流量密度,並送至最適食物里數推論伺服器運用4D路徑演算法和線性規劃進行最適食物里數推論,以提供快速且短捷的道路進行運輸,且可同時有效減少塞車、怠速等問題造成的環境污染,減緩全球暖化的速度。

並列摘要


Due to the rapid increase of CO2 concentration, it causes greenhouse effect and traps heat within the surface-troposphere system. Therefore, some researches proposed the Food Mileage (FM) computing model which refers to the distance that a food travels from its point of production to point of consumption. For this reason, this research proposes functions of real-time traffic information collection and allocation and transportation for food mileage service on the information system, the designed a ”Food Mileage Optimization System (FMOS)” is a three-tier system that composed of the Vehicular Communication Nodes (VCNs), Adaptable Food Mileage Inference Server (AFMIS), and Database Server (DS). In this approach, it will reduce environmental pollution and avoid the traffic jam, and the automobile exhaust emission to slow global warming.

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