找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

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

[复制链接]
楼主: Impacted
发表于 2025-3-27 00:25:55 | 显示全部楼层
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
发表于 2025-3-27 04:51:09 | 显示全部楼层
发表于 2025-3-27 09:15:17 | 显示全部楼层
发表于 2025-3-27 12:03:35 | 显示全部楼层
发表于 2025-3-27 16:55:22 | 显示全部楼层
发表于 2025-3-27 21:43:40 | 显示全部楼层
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
发表于 2025-3-27 23:35:24 | 显示全部楼层
发表于 2025-3-28 03:14:48 | 显示全部楼层
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
发表于 2025-3-28 10:15:05 | 显示全部楼层
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
发表于 2025-3-28 10:33:34 | 显示全部楼层
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
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 吾爱论文网 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-8-20 06:01
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表