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樓主: 叛亂分子
31#
發(fā)表于 2025-3-26 22:49:28 | 只看該作者
32#
發(fā)表于 2025-3-27 03:14:51 | 只看該作者
Research on Investment Benefits Valuation Methods for Information Construction of Integrated Passenonstruction from six aspects, including investment scale, perception system, operation decision, emergency command, passenger service, and benefit reflection. On this basis, the paper introduces the data envelopment analysis method to construct the investment benefit evaluation model for information
33#
發(fā)表于 2025-3-27 08:29:27 | 只看該作者
https://doi.org/10.1007/978-3-658-46103-4ccuracy rate of 95.96% and an error rate of 4.78%. The model will also be deployed in the highway monitoring center in Shaanxi Province in the future, which will help early warning of traffic conditions, and rapid emergency response.
34#
發(fā)表于 2025-3-27 09:46:02 | 只看該作者
Ablauf der Nutzwert-Kosten-Analyse, was constructed based on the toll data of Shaanxi Province freeway network from December 2018 to April 2019 as the data source. The TCN model was compared with the SVM, SAE, LSTM and GRU models in terms of mean absolute error (MAE) and root mean square error (RMSE). The prediction results of multip
35#
發(fā)表于 2025-3-27 17:17:47 | 只看該作者
36#
發(fā)表于 2025-3-27 20:24:36 | 只看該作者
37#
發(fā)表于 2025-3-27 22:24:52 | 只看該作者
https://doi.org/10.1007/978-3-7985-1789-9 led to different SCTS outputs were further investigated by means of decision tree method. The established decision tree structure was then utilized to predict SCTS values of future days as consequence from their calendar characters and weather forecasts. The approaches of description and inference
38#
發(fā)表于 2025-3-28 03:16:43 | 只看該作者
https://doi.org/10.1007/978-3-031-69354-0he penetration rate of CAVs is in the range of 0–0.4, the improvement of road traffic efficiency is the most significant, and the effect of improvement gradually slows down with the increase of CAVs penetration. Even with a low penetration rate of CAVS, the road capacity can be effectively improved,
39#
發(fā)表于 2025-3-28 09:42:06 | 只看該作者
https://doi.org/10.1007/978-3-663-10915-0onstruction from six aspects, including investment scale, perception system, operation decision, emergency command, passenger service, and benefit reflection. On this basis, the paper introduces the data envelopment analysis method to construct the investment benefit evaluation model for information
40#
發(fā)表于 2025-3-28 11:43:02 | 只看該作者
GreenTransportation and Low Carbon Mobility Safety
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