Výsledky vyhledávání - "Zhanguo Song"

Akademický článek

Short-term traffic speed prediction under different data collection time intervals using a SARIMA-SDGM hybrid prediction model.

Autor: Zhanguo Song, Yanyong Guo, Yao Wu, Jing Ma

Publikováno v: PLoS ONE, Vol 14, Iss 6, p e0218626 (2019)

Short-term traffic speed prediction is a key component of proactive traffic control in the intelligent transportation systems. The objective of this study is to investigate the short-term traffic speed prediction under different data collection time

Externí odkaz: https://doaj.org/article/15d7766fbdfd4ffc9ce96eb67509de64

Zobrazit plný text záznamu

Plný text ve formátu HTML

Interval prediction of short-term traffic speed with limited data input: Application of fuzzy-grey combined prediction model

Autor: Wei Feng, Weiwei Liu, Zhanguo Song

Publikováno v: Expert Systems with Applications. 187:115878

Short-term traffic speed prediction, including level and interval prediction, is a key component of proactive traffic control in the intelligent transportation systems (ITS). In particular, predicting intervals may provide traffic managers with more

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::722a32cdca4b77c0659ff6a66d583672
https://doi.org/10.1016/j.eswa.2021.115878

Zobrazit plný text záznamu

Quantitative Analysis of Impact of Vehicle-Bicycle Conflict on the Capacity in Urban Mixed Traffic

Autor: Wei Feng, Ruichang Ning, Hong Chen, Zhanguo Song

Publikováno v: DEStech Transactions on Engineering and Technology Research.

In order to determine the impact of vehicle-bicycle conflict on the capacity, this interference on the capacity is divided into three states: no interference, weak interference and strong interference, and quantitative analysis of the influence of ca

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::865efe2e4700ec4e48d807c84808fdaf
https://doi.org/10.12783/dtetr/ictim2016/5537

Zobrazit plný text záznamu