節能駕駛建議系統在未來代表一個趨勢，然而在過去有關節能駕駛建議系挺中，缺乏整合運用車載通訊的研究。車載通訊系統裡的協議部分包含了路側設施、車載裝置。透過車載通訊，即便車輛仍距離路口尚遠時，節能駕駛建議系統可以快速的接收交通資訊。但是，在過去研究中亦又缺乏考量連續多路口模式，這些節能駕駛建議系統僅適用於車輛所處路口前的路段，下幾個路口也缺乏考量故無法通用於通過連續多個路口。為了解決這個問題，本研究的節能駕駛建議系統加入了路側設施與路側設施的連結，使交通資訊的廣播範圍能加以延長，而一旦有車輛經過一個路側設施時便能一次取得多個鄰近路口的資料。藉此節能駕駛建議系統對於可以提供更準確的建議。
在本研究中最大化輸出與平順速度模式，兩種採用不同概念的模式被提出以達成經濟的油耗駕駛。其中最大化輸出模式將整體交通量輸出到最大以減少車輛堵塞在路段上進而達成全體的節能減碳，平順駕駛模式則以保持固定速度並減少加減速動作為優先以達成個人的節能減碳。比較起過去的研究，本研究亦將多輪紅綠燈與改良的動態的安全跟車模式納入考量。而在本節能駕駛建議系統裡，建議的行為包含除了常用的駕駛行為外新加入了滑行的方式，即為在高速檔放空油門的方式來取代煞車，藉以延減速長行車距離並達成較少的油耗。在實驗結果中，一般模式下擁有輸出最大考量的最大化輸出模式相較其他模式擁有更好的節能減碳效果。

Eco-driving advisory system (EDAS) is represent the trend in the future. However, previous studies about Eco-driving advisory systems are lack of concern in integrating with VANET. In this study, VANET protocol for Eco-driving advisory system is practiced in RSUs and OBUs. With VANET, EDAS can rapidly receive traffic information even vehicles are still away from the intersection. However, pervious models are lack consideration about sequential intersections. The advisory of these models are only suitable for the intersection which the vehicle is passing but not for next several intersections. To conquer this issue, EDAS is applied to R2R to extend information receiving range. Once a vehicle drives into a RSU broadcast range, it also gets RSUs neighboring to that RSU at the same time. By this method, EDAS will provide more accurate advisory into for multi-intersections than single intersection model without R2R operatory.
Two Models, MTM (Maximized throughput model) and SSM (Smooth speed model) with different concepts are proposed to provide suggestion for driver to drive in a fuel economy way. MTM maximizes traffic throughput to achieve global fuel saving by decreasing vehicles jammed on the road. SSM try to maintain speed and reduce acceleration between roads to gain individual fuel saving. Comparing to our previous study, EDAS takes multiple phase turns into consideration and modify car following mode with an adaptive safety car following distance. For advisory driving behaviors, EDAS uses gliding to replace braking which is standard in other competitors. In experiment result, MTM with maximized traffic throughput will save more fuel and emitted less CO2 in normal traffic conditions.

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