| ID | 原文 | 译文 |
| 21815 | 最后，将时间离散为一系列连续的时间窗，利用时间窗动态处理到达的网络切片请求，实现在线的网络切片映射算法。 | Finally, the time is discretized into a series of continuous time windows, and the online network slice mapping algorithm is implemented by using the time window dynamic processing of the incoming network slice request. |
| 21816 | 仿真结果表明，该算法提高了资源利用率，并且保证网络可靠性。 | Simulation results show that the proposed algorithm improves resource utilization and guarantees network reliability. |
| 21817 | 交通拥堵长期以来是城市面临的主要问题之一，解决交通拥堵瓶颈刻不容缓。 | Traffic congestion is a problem faced by cities, and it is urgent for solving this issue. |
| 21818 | 准确的短时交通状态预测有利于市民预知交通出行信息，及时采取措施避免陷入拥堵困境。 | Accurate short-term traffic state prediction is benefit for citizens to know the traffic information in advance, and take the measures in time to avoid the congestion. |
| 21819 | 该文提出一种基于模糊 C 均值聚类(FCM)和随机森林的短时交通状态预测方法。 | In this paper, a short-term traffic state prediction approach is proposed based on Fuzzy C-Means (FCM) clustering and Random Forest. |
| 21820 | 首先，利用一种新颖的融合时空信息的自适应多核支持向量机(AMSVM)来预测短时交通流参数，包括流量、速度和占有率。 | Firstly, a novel Adaptive Multi-kernel Support Vector Machine (AMSVM) which incorporates the spatial-temporal information is used to predict the short-term traffic parameters, including the volume, the speed and the occupancy. |
| 21821 | 其次，基于 FCM 算法分析历史交通流，获取历史交通状态信息。 | Secondly, the historical traffic data are analyzed based on FCM algorithm, and the historical traffic state information is got. |
| 21822 | 最后，利用随机森林算法分析所预测的短时交通流参数，得到最终预测的短时交通状态。 | Lastly, the Random Forest (RF) algorithm is utilized to analyze the predicted short-term traffic parameters, then the final predicted short-term traffic state is obtained. |
| 21823 | 该方法在融合时空信息的同时采用随机森林算法应用于短时交通状态预测这一全新的研究领域。 | This method incorporates the spatial-temporal information as well as applying the Random Forest to a new research field of short-term traffic state prediction. |
| 21824 | 实验结果表明，FCM 对历史交通状态的评估方式适用于不同的高速路和城市道路场景。 | The experimental results demonstrate that the evaluation method of historical traffic state based on FCM is suitable for both freeway and urban road scenarios. |