A review of human mobility research based on big data and its implication for smart city development

A Wang, A Zhang, EHW Chan, W Shi, X Zhou… - … International Journal of …, 2020 - mdpi.com
Along with the increase of big data and the advancement of technologies, comprehensive
data-driven knowledge of urban systems is becoming more attainable, yet the connection …

Data analytics for smart cities: Challenges and promises

FG Mohammadi, F Shenavarmasouleh… - Cyberphysical Smart …, 2022 - Wiley Online Library
Making decisions in smart cities is challenging due to the high direct/indirect dimensional
factors and parameters. This chapter focuses on one of the smart cities' important branches …

A methodology to attain public transit origin–destination mobility patterns using multi-layered mesoscopic analysis

G Qi, A Ceder, A Huang, W Guan - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Knowledge about mobility patterns has become increasingly important to urban
development. In this work, public transit origin-destination (OD) mobility patterns are …

A review of mobility prediction models applied in cloud/fog environments

DHS Lima, ALL Aquino, M Curado - … Workshops, Turin, Italy, August 27-28 …, 2019 - Springer
Abstract Cloud and Fog Computing are two emerging technologies that have being used in
various fields of application. On one hand, Cloud Computing has the problem of big latency …

Traffic pattern analysis framework with emphasis on Floating Car Data (FCD)

A Keler - 2017 - opus.bibliothek.uni-augsburg.de
Vehicle traffic in urban environments consists of a variation of traffic phenomena. Defining
and measuring these traffic phenomena is challenging, since traffic sensors can still not …

Activity characterization for modeling behavioral-driven human mobility in platial networks

G Thakur, O Kotevska - Proceedings of the 4th ACM SIGSPATIAL …, 2020 - dl.acm.org
The population is increasingly becoming tractable as more and more people carry handheld
devices as part of their everyday activities. Recent studies have shown that handheld …

A framework for analysing trajectories of movement in a dynamic geographic context

JD Mazimpaka - 2017 - opus.bibliothek.uni-augsburg.de
Recent advances in location-aware technologies enable the collection of trajectories of
moving entities, which can be useful in different application domains such as urban …

[PDF][PDF] Profiling and Grouping Space-time Activity Patterns of Urban Individuals

J Shen - 2018 - discovery.ucl.ac.uk
With the widespread use of new geospatial and information technologies, huge amounts of
human dynamics data have been been collected with high spatio-temporal resolution …

[PDF][PDF] A Methodology to Attain Public Transit Origin–Destination Mobility Patterns from Multi-Perspectives Using Mesoscopic Analysis

G Qi, AA Ceder, A Huang, W Guan - researchgate.net
Knowledge about mobility patterns has become increasingly important to urban
development. In this paper, the public transit origin-destination mobility patterns are …

[引用][C] Link Travel Time Prediction using Origin Destination Matrix and Neural Network Model

AE ADEWALE - 2018