隨著工商業之發達與人口增加，日益擴大的各項產業產生更大的交通運輸需求，並使得我國能源使用量越趨龐大。根據經濟部能源局九十八年台灣地區能源統計年報，運輸部門能源使用量占總消耗量的百分之十三，僅次於工業部門能源使用量，顯示出運輸部門對於能源使用之需要性，此外我國機動車輛所使用之能源絕大部分仍仰賴石油產品，在石油需求量逐年上升之同時，同時也導致嚴重的空氣汙染排放的問題。
在評估交通管理的節能減碳策略之成效時，必須評估各項策略的效果，而這類輔助支援決策的資料數據，可透過模式加以模擬和計算而求得，如何建立正確的推估模式為一重要課題。而在兼顧社會經濟發展的需要下，隨著國家之不同車流特性進行能耗與氣體排放量推估，必須建構不同的推估方式。本研究將建構能耗模式與氣體排放模式，以提供足夠資訊給交通管理單位作為相關策略節能減碳之評估。
本研究考量本土車流特性推估能源消耗量與氣體排放量，並提出兩種推估方法，包括：以路段為基礎之推估方式與以旅次為基礎之推估方式，應用我國運研所車輛逐秒之能耗率與排放係數，建構出能耗與氣體排放資料庫，結合車流模擬指派軟體所蒐集之車流特性資料建構本研究之推估模式。並以不同交通管理策略，包括：提供即時資訊給汽車駕駛人、觸動感應號誌與可變號誌系統等策略，以評估在不同交通管理策略下之路網能耗總量與氣體排放總量。

Due to the development of industry and commerce, the transportation demand increases dramatically. According to Energy Statistics Annual Report of Bureau of Energy, Ministry of Economic Affairs in Taiwan, the percentage of energy consumption of transportation has reached 13% (the second highest) in total energy consumption. The increasing demand of oil will worsen the air pollution problem.
In the process of assessing energy consumption and emission reduction, we have to collect enough information to prove the performance of traffic network under different traffic management strategies. The traffic data could be obtained by models and simulations. How to establish a suitable estimation model is an important issue. This research constructs an estimation model and provides adequate information to assess the traffic management strategies of energy consumption and emission reduction.
In this research, we focus on the estimation of energy consumption and emission under traffic management. Two estimation methods, including link-based estimation method and trip-based estimation method, are proposed to compute energy consumption and emission. Numerical experiments are conducted to analyze traffic management strategies by these two models. There are three scenarios in the experiments, including the scenario under real time information provision, adaptive signal control, and the scenario under variable message signs provision.

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