隨著時間發展，自駕車已經逐漸出現在我們生活中，當自駕車逐漸增加，未來勢必會有自駕車隊的出現，當前由於各廠家之自駕車的反應時間與跟車邏輯會有些許差異，而導致在車隊應用上可能會有不同的結果。本研究假設當自駕車隊在統一的決策機制、反應時間與跟車模式下，行駛途中遇到車輛干擾時，會對於車隊所造成之影響，並且在實驗中考慮微、巨觀的模式去進行車隊的模擬，在同種車流狀況下搭配不同反應時間，所造成的差異為本研究欲得知的成果。 本研究將以巨觀車流模式－Greenshield’s模式與微觀車流模式-第三代GM模式為基礎，加上不同的反應時間後，套用於行駛中的自駕車隊並觀察在不同的車流中遇到干擾時，不同的反應時間會對於車隊造成什麼影響，因此本研究將提出三種不同的車流起始狀況與不同反應時間，去做模擬設，假設自駕車隊行駛於單一車道下，偵測前方有車輛干擾時，車隊將以安全為前提，去進行減速，並在干擾消失後，車隊將加速到起始速度，並在整個程中觀察車隊的反應。根據結果顯示，速度差越大時，車隊中的所有車輛所做出的反應會越劇烈且反應時間越長的車隊，車隊內車輛所做出的減速度會越趨近於頭車之減速度，車隊恢復穩定的時間會相較於反應時間短的快。 ;As time goes by, autonomous vehicle has come into our lives. When it gradually increases, the platoon of autonomous vehicle must reveal in the future. However, there is a slight difference on autonomous vehicle’s reaction time and following control logic between car companies, which makes different consequences on platoon application. To observe the effect of disturbance of other moving vehicle on the road, different autonomous vehicle platoons are assumed as the same decision mechanism, reaction time, and car-following model. In addition, the microscopic and macroscopic models are considered to simulate platoons in the experiment. The research attempts to observe the influence of different autonomous vehicle platoon by the same traffic flow with separate reaction time. The research is based on Greenshield’s model and the third generation GM model as the macroscopic and microscopic traffic flow models. It demonstrated that a driving autonomous vehicle platoon with separate reaction time encountering disturbance in traffic flow models causes several results. Thus, three different initial situations of traffic flows and reaction time are assumed as a simulation environment. If the driving autonomous vehicles of a platoon detects any disturbance of vehicle ahead in a single-lane road, they will slow down on a basis of safety requirement. They also accelerate to the initial speed as soon as the disturbance disappears.
