本論文探討智慧型運輸系統幾個課題，包括高速道路的車流模型建構和既有巨觀模型之修正、車流控制、與自動駕駛之縱向運動控制問題。在車流模型方面，針對高速公路上單點的動態車流行為和狀態變遷，本文運用激波、連續流體、與跟車特性等相關概念來建構混合式車流模型，並針對Payne車流模型離散化所擴增的中間流體模型，以激波理論來檢驗其適確性，同時提出以激波速度為參數的動態修正模型。在車流控制方面，利用回饋線性化的技巧將車流非線性系統轉換成狀態空間的形式以利於控制信號的設計，本文分別運用 強健控制與滑動面控制理論來進行集中與分散式架構控制器的設計。在智慧型巡航控制課題上，本文考慮煞車極限來設計適應半自律性控制器並結合新的車距策略，並提出車距參數設計方法來因應可能的危急前車煞車場合。

In this dissertation, topics in an ITS, including modeling, control problems of freeway traffic flow, and longitudinal vehicle control are investigated. In the modeling of freeway traffic, a hybrid model in a macroscopic level is proposed to describe the dynamics of each defined state and their particular transitions by exploiting the notions of shockwave, continuum theory, and car-following property. The augmented medium volume model within discretized Payne traffic flow model is investigated based on the shockwave theory. A new computational weighting in terms of the shockwave speed is addressed for better estimation of the traffic flow. In the control of freeway traffic flow, the controllers based on the centralized and decentralized schemes are devised by employing and sliding mode theories, respectively. A feedback linearization approach is used to formulate the design problem so as to make the flow control system less affected by nonlinearities. In the intelligent cruise control system, an adaptive semi-autonomous controller with a new spacing policy is devised to account for the brake limitation. A parameter design for a specified deceleration of the preceding vehicle is presented to adjust the intervehicle spacing to accommodate traveling circumstances such as weather/road conditions.

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