Memorial
发表于 2025-3-25 06:15:07
Richtinggevende waarden vaststellen,hus produce different node traffic importance. In order to measure the node importance of different regional expressway networks. First, the node betweenness model is introduced. The traditional traffic node betweenness model is optimized based on the consideration of multi-vehicle traffic weighting
浪费物质
发表于 2025-3-25 10:42:40
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不可磨灭
发表于 2025-3-25 15:16:33
Benedikt Quarch,Clemens Engelhardtrom the four aspects of social economy, transportation conditions, transportation scale and policy supply, a scientific and reasonable grading evaluation index system of transportation hub cities in urban agglomerations is constructed. In this paper, a hierarchical evaluation index system of traffic
前奏曲
发表于 2025-3-25 19:52:47
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paradigm
发表于 2025-3-25 22:14:40
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浅滩
发表于 2025-3-26 00:20:44
https://doi.org/10.1007/978-3-476-99187-4tations, the survey on freight categories transported on expressways was performed for K-prototypes clustering analysis and the characteristics of various freight categories transported on expressway were analyzed in terms of freight volume, transportation distance and freight flow. The analysis res
吞下
发表于 2025-3-26 04:51:53
https://doi.org/10.1007/978-3-476-99361-8hod to solve the re-scheduling task with a multi-agent reinforcement learning framework. We formalize the re-scheduling task as a multi-agent MDP and apply a networked multi-agent reinforcement learning framework. Furthermore, we add adaptation learning steps to allow the agents to learn quickly aft
曲解
发表于 2025-3-26 10:06:54
emerges as a universal occurrence. Specifically, the Guangdong-Hong Kong-Macao Greater Bay Area exhibits an urbanization rate of 85 percent, indicative of its rapid and high-level development within China. Therefore, enhancing the quality of urban growth is pivotal for future progress. With this pe
Cursory
发表于 2025-3-26 13:26:26
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neologism
发表于 2025-3-26 20:25:37
ical method based on OD is proposed to forecast the throughput of new port areas. The new port area cannot predict the future development by using time series analysis method due to the lack of historical data. Therefore, this paper uses the elasticity coefficient method to determine the growth rate