Crowd intelligence for sustainable futuristic intelligent transportation system: a review

R Chandra Shit - Iet intelligent transport systems, 2020 - Wiley Online Library
Connected vehicles and fully automated driving systems are the main objectives of the
future transportation system. A safe interactive system that interacts with people and things is …

[HTML][HTML] Spatiotemporal analysis of urban road congestion during and post COVID-19 pandemic in Shanghai, China

P Xu, W Li, X Hu, H Wu, J Li - Transportation research interdisciplinary …, 2022 - Elsevier
Abstract Coronavirus Disease 2019 (COVID-19) has become one of the most serious global
health crises in decades and tremendously influence the human mobility. Many residents …

[HTML][HTML] Characterizing intercity mobility patterns for the greater bay area in China

Y Yin, Q Wu, M Li - ISPRS International Journal of Geo-Information, 2022 - mdpi.com
Understanding intercity mobility patterns is important for future urban planning, in which the
intensity of intercity mobility indicates the degree of urban integration development. This …

Spatiotemporal characteristics of residents' intercity travel in China under the impact of COVID-19 pandemic

S Wei, J Pan - Cities, 2024 - Elsevier
Investigating the spatiotemporal characteristics of residents' intercity travel affected by the
coronavirus disease (COVID-19) pandemic is of great significance to understanding and …

Urban mobility analytics amid COVID-19 pandemic: A framework for promoting work resumption based on mobile phone data

L He, W Li, J Li, J Sun - Journal of Transport Geography, 2024 - Elsevier
Abstract The Corona Virus Disease 2019 (COVID-19) pandemic had a pernicious influence
on the whole world, so that the international community implemented various travel policies …

[HTML][HTML] Partitioning urban road network based on travel speed correlation

Q Yu, W Li, D Yang, H Zhang - International journal of transportation …, 2021 - Elsevier
Urban traffic management is increasingly critical in the future to ensure the livability,
efficiency, and sustainability of the city. Urban road network partition is a fundamental step in …

[HTML][HTML] Extracting spatiotemporal commuting patterns from public transit data

T Verma, M Sirenko, I Kornecki, S Cunningham… - Journal of Urban …, 2021 - Elsevier
Public transit networks in cities are crucial in addressing the transforming mobility needs of
citizens for work, services and leisure. The rapid changes in urban demographics pose …

新冠肺炎疫情影响下的城际交通运输需求分析

何凌晖, 余庆, 李玮峰, 李健, 杨东援 - 城市交通, 2020 - cqvip.com
运用百度迁徙数据分析新型冠状病毒肺炎疫情影响下的城际交通运输需求特征. 一方面,
对城际交通运输需求的时空特征进行分析, 了解疫情影响下城际客流的整体趋势; 另一方面 …

[HTML][HTML] Куда и когда-об одном подходе к анализу трафика в городе

ДЕ Намиот, АВ Акимов… - … Journal of Open …, 2021 - cyberleninka.ru
В этой статье речь идет об одной модели анализа мобильности в городах.
Традиционно, при анализе перемещений используется временной домен. Это связано …

Station-to-user transfer learning: Towards explainable user clustering through latent trip signatures using tidal-regularized non-negative matrix factorization

L Zhang, D Pfoser, A Züfle - … of the 28th International Conference on …, 2020 - dl.acm.org
Urban areas provide us with a treasure trove of available data capturing almost every aspect
of a population's life. This work focuses on mobility data and how it will help improve our …