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Titlebook: Dynamics of Transportation Ecosystem, Modeling, and Control; Sunil Kumar Sharma,Ram Krishna Upadhyay,Vikram Kum Book 2024 The Editor(s) (i

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31#
發(fā)表于 2025-3-27 00:25:55 | 只看該作者
On the Ko of certain polynomial extensions,t is used to design public transit networks. Simulation-based optimisation focuses on solving decision-based problems by integrating optimisation and simulation. The model combines multi-objective meta-heuristic optimisation algorithm with an activity-based travel simulation to design public transpo
32#
發(fā)表于 2025-3-27 04:51:09 | 只看該作者
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發(fā)表于 2025-3-27 09:15:17 | 只看該作者
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發(fā)表于 2025-3-27 21:43:40 | 只看該作者
Book 2024scape. This book offers a comprehensive examination of the interconnected elements within the transportation ecosystem, including vehicles, infrastructure, traffic flow, and emerging technologies. It explores advanced modeling and simulation techniques for understanding and predicting transportation
37#
發(fā)表于 2025-3-27 23:35:24 | 只看該作者
38#
發(fā)表于 2025-3-28 03:14:48 | 只看該作者
Deterministic and Probabilistic Forced Response Analysis of a Railway Coachch is subjected to lower displacements indicating the uniform and balanced distribution of dynamic forces at the middle of the coach due to its proximity to center of gravity of the coach. PSD vertical irregularities as a random function of time are used as base excitation input for rail-way coach r
39#
發(fā)表于 2025-3-28 10:15:05 | 只看該作者
Blockchain Solutions for Cost-Efficiency and Traceability in Indian Food Distribution and quantitative comparison analyses, primarily employing nonparametric tests for inferential statistical analysis. The results clearly indicate a significant shift in travel patterns before and after the pandemic. This study underscores the transformative potential of blockchain in the Indian food
40#
發(fā)表于 2025-3-28 10:33:34 | 只看該作者
Improving On-Time Performance: Predicting Train Delays with Machine Learning Techniquesfficiency of the Indian railway system. Through the integration of cutting-edge machine learning methods with comprehensive real-world railway data, the paper aims to create a solution that not only enhances passenger satisfaction but also enables railway authorities to optimize operations and eleva
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