[HTML][HTML] How machine learning informs ride-hailing services: A survey
In recent years, online ride-hailing services have emerged as an important component of
urban transportation system, which not only provide significant ease for residents' travel …
urban transportation system, which not only provide significant ease for residents' travel …
A survey on deep learning for human mobility
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …
such as disease spreading, urban planning, well-being, pollution, and more. The …
A deep gravity model for mobility flows generation
The movements of individuals within and among cities influence critical aspects of our
society, such as well-being, the spreading of epidemics, and the quality of the environment …
society, such as well-being, the spreading of epidemics, and the quality of the environment …
Predicting urban region heat via learning arrive-stay-leave behaviors of private cars
Urban region heat refers to the extent of which people congregate in various regions when
they travel to and stay in a specified place. Predicting urban region heat facilitates broad …
they travel to and stay in a specified place. Predicting urban region heat facilitates broad …
Where would i go next? large language models as human mobility predictors
Accurate human mobility prediction underpins many important applications across a variety
of domains, including epidemic modelling, transport planning, and emergency responses …
of domains, including epidemic modelling, transport planning, and emergency responses …
scikit-mobility: A Python library for the analysis, generation and risk assessment of mobility data
The last decade has witnessed the emergence of massive mobility data sets, such as tracks
generated by GPS devices, call detail records, and geo-tagged posts from social media …
generated by GPS devices, call detail records, and geo-tagged posts from social media …
[HTML][HTML] Individual mobility prediction review: Data, problem, method and application
Z Ma, P Zhang - Multimodal transportation, 2022 - Elsevier
The 'sharing'business models and on-demand services have been altering city dwellers'
travel habits from buying the means of transport to buying mobility services based on needs …
travel habits from buying the means of transport to buying mobility services based on needs …
A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network
Spatio-temporal traffic volume forecasting technologies can effectively improve freeway
traffic efficiency and the travel comfort of humans. To construct a high-precision traffic …
traffic efficiency and the travel comfort of humans. To construct a high-precision traffic …
Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
This paper brings a comprehensive systematic review of the application of geospatial
artificial intelligence (GeoAI) in quantitative human geography studies, including the …
artificial intelligence (GeoAI) in quantitative human geography studies, including the …
An efficient LSTM neural network-based framework for vessel location forecasting
Forecasting vessel locations is of major importance in the maritime domain, with
applications in safety, logistics, etc. Nowadays, vessel tracking has become possible largely …
applications in safety, logistics, etc. Nowadays, vessel tracking has become possible largely …