Survey of machine learning methods applied to urban mobility
To increase the sustainability in urban mobility, it is necessary to optimally combine public
and shared vehicles throughout a passenger's trip. In this work, we present a survey on …
and shared vehicles throughout a passenger's trip. In this work, we present a survey on …
Does the returners and explorers dichotomy in urban human mobility depend on the observation duration? An empirical study in Guangzhou, China
The increasing accessibility to digital traces of human whereabouts in cities has offered
numerous new opportunities for exploring patterns of human mobility in urban spaces. Prior …
numerous new opportunities for exploring patterns of human mobility in urban spaces. Prior …
Understanding individuals' proclivity for novelty seeking
Human mobility literature is limited in their ability to capture the novelty-seeking or the
exploratory tendency of individuals. Mainly, the vast majority of mobility prediction models …
exploratory tendency of individuals. Mainly, the vast majority of mobility prediction models …
Rethinking the regularity in mobility patterns of personal vehicle drivers: A multi‐city comparison using a feature engineering approach
Large‐scale trajectory data offer a finer lens into the regularity in individual mobility choices.
Previous studies have exerted efforts to measure the regularity in people's location visiting …
Previous studies have exerted efforts to measure the regularity in people's location visiting …
Identification and classification of routine locations using anonymized mobile communication data
Digital location traces are a relevant source of insights into how citizens experience their
cities. Previous works using call detail records (CDRs) tend to focus on modeling the spatial …
cities. Previous works using call detail records (CDRs) tend to focus on modeling the spatial …
Learning behavioral representations of human mobility
In this paper, we investigate the suitability of state-of-the-art representation learning methods
to the analysis of behavioral similarity of moving individuals, based on CDR trajectories. The …
to the analysis of behavioral similarity of moving individuals, based on CDR trajectories. The …
Unveiling urban and human mobility dynamics through semantic trajectory summarization
C Pugliese - 2024 25th IEEE International Conference on …, 2024 - ieeexplore.ieee.org
The analysis of semantic trajectories has gained significant attention in urban mobility
research due to its potential to provide comprehensive insights into movement patterns and …
research due to its potential to provide comprehensive insights into movement patterns and …
Understanding human mobility dynamics: Insights from summarized semantic trajectories
C Pugliese, F Lettich, F Pinelli… - 2024 25th IEEE …, 2024 - ieeexplore.ieee.org
Mobility data analysis provides insights into human movement patterns, traffic flows, and
urban planning strategies. Human dynamics analysis focuses on tracking people to …
urban planning strategies. Human dynamics analysis focuses on tracking people to …
On location relevance and diversity in human mobility data
The theme of human mobility is transversal to multiple fields of study and applications, from
ad hoc networks to smart cities, from transportation planning to recommendation systems on …
ad hoc networks to smart cities, from transportation planning to recommendation systems on …
Timely and personalized services using mobile cellular data
The 21st-century data-driven economy is rapidly evolving and large companies like Telecom
operators are forced to adapt their business. They are shifting their focus from traditional but …
operators are forced to adapt their business. They are shifting their focus from traditional but …