| 摘要(英) |
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. |
| 參考文獻 |
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