Capacity Analysis Based on Vehicle Trajectory Data on a Weaving Bottleneck in Nanjing

Autor: Jean Claude Sugira

Publikováno v: Engineering Perspective, Vol 3, Iss 3, Pp 27-34 (2023)

This paper investigates the capacity of weaving bottlenecks in Nanjing, where multiple traffic streams merge or diverge closely, causing significant traffic disruptions. Utilizing trajectory data from 862 vehicles collected through UAV cameras, the s

Externí odkaz: https://doaj.org/article/4ef2d27cc21442f6a877ecfc66b472f2

Capacity Planning of New Product in PT Perkebunan Nusantara VIII (Oolong Tea)

Autor: Azis, Hadi Rahmanul, Dr. Yuanita Handayati, M.S.M.

In early 2021 PTPN VIII began producing a new product based on consumer demand, namely oolong tea, within an estimated contract worth IDR 6.000.000.000 of 150 tons. Thus, the firm should be prepared related to the garden and the factory to produce th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73bb0056b0418be5803b652e29d3669e

Smartphone-based crowdsourcing for estimating the bottleneck capacity in wireless networks

Autor: Nilo Redini, Valerio Luconi, Enrico Gregori, Alessio Vecchio, Alessandro Importa, Luciano Lenzini

Publikováno v: Journal of network and computer applications 64 (2016): 62–75. doi:10.1016/j.jnca.2016.01.020
info:cnr-pdr/source/autori:Gregori E., Improta A., Lenzini L., Luconi V., Redini N., Vecchio A./titolo:Smartphone-based crowdsourcing for estimating the bottleneck capacity in wireless networks/doi:10.1016%2Fj.jnca.2016.01.020/rivista:Journal of network and computer applications/anno:2016/pagina_da:62/pagina_a:75/intervallo_pagine:62–75/volume:64

Crowdsourcing enables the fine-grained characterization and performance evaluation of today's large-scale networks using the power of the masses and distributed intelligence. This paper presents SmartProbe, a system that assesses the bottleneck capac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e7bad989a8dd7ed5287f9a9fa9d77d2
https://doi.org/10.1016/j.jnca.2016.01.020

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