綠色節能最佳化運輸路徑之規劃

隨著經濟發展,自然環境惡化程度持續加深,肇因為小客車數量日益增加,於是近年來綠色交通概念被大力提倡,如能以最佳節能路徑為運輸進行改造,將能為綠色環保盡一份心力。以最短路徑演算法（Dijkastra＇s Algorithm）為基礎,撰寫出最佳節能路徑之演算法,即每台車皆能以最低油耗知目標行駛,並將其與最短距離和最少旅行之路徑進行結果比較,結果發現該最佳節能路徑相較另兩條目標路徑時最能節省燃油消耗,此成果可提供小客車車主進行最佳節能路徑之規劃。另外也以路網均衡之概念進行交通量指派,使用者均衡和系統均衡分別於時間成本和油耗成本目標下之比較。

A Planning of Green and Energy Saving Optimized Transportation Route and Network

With economic development,the natural deterioration continues to deepen because the number of small passenger cars increases year by year,and the concept of green transportation has been vigorously promoting in recent years.If everyone uses the best energy path,human beings will be able to do something for natural environment.This study,based on the shortest path algorithm（Dijkastra＇s Algorithm）,discusses the energy path,which means that everyone contributes his own share to the goal of minimum fuel consumption.Compared the results with the shortest distance paths and shortest travel time path,this energy path saves more energy than the other two paths.The results could help owners of small passenger vehicle to plan the best energy-saving path.In addition to road network,this study can apply the concept of equilibrium to assign traffic.Moreover,based on user equilibrium and system optimal,the study can respectively compare time cost and fuel consumption.The results could provide reference for traffic management unit to make different goal of traffic assignment.