Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions
The growing ubiquity of location/activity sensing technologies and location-based services
(LBS) has led to a large volume and variety of location-based big data (LocBigData), such …
(LBS) has led to a large volume and variety of location-based big data (LocBigData), such …
Mobile phone location data for disasters: A review from natural hazards and epidemics
Rapid urbanization and climate change trends, intertwined with complex interactions of
various social, economic, and political factors, have resulted in an increase in the frequency …
various social, economic, and political factors, have resulted in an increase in the frequency …
Inferring the trip purposes and uncovering spatio-temporal activity patterns from dockless shared bike dataset in Shenzhen, China
Trip purpose is closely related to travel patterns and plays an important role in urban
planning and transportation management. Recently, there has been a growing interest in …
planning and transportation management. Recently, there has been a growing interest in …
[HTML][HTML] Mapping population distribution with high spatiotemporal resolution in Beijing using baidu heat map data
Population distribution data with high spatiotemporal resolution are of significant value and
fundamental to many application areas, such as public health, urban planning …
fundamental to many application areas, such as public health, urban planning …
Federated ensemble-learning for transport mode detection in vehicular edge network
Abstract Transport Mode Detection (TMD) has become a crucial part of Intelligent
Transportation Systems (ITS) thanks to the recent advancements in Artificial Intelligence and …
Transportation Systems (ITS) thanks to the recent advancements in Artificial Intelligence and …
[HTML][HTML] Mobile phone data: A survey of techniques, features, and applications
Due to the rapid growth in the use of smartphones, the digital traces (eg, mobile phone data,
call detail records) left by the use of these devices have been widely employed to assess …
call detail records) left by the use of these devices have been widely employed to assess …
Forecasting the crowd: An effective and efficient neural network for citywide crowd information prediction at a fine spatio-temporal scale
Modelling and forecasting citywide crowd information (eg, crowd volume of a region, the
inflow of crowds into a region, outflow of crowds from a region) at a fine spatio-temporal …
inflow of crowds into a region, outflow of crowds from a region) at a fine spatio-temporal …
Short-term estimation and prediction of pedestrian density in urban hot spots based on mobile phone data
Short-term estimation and prediction of pedestrian density in urban hot spots (eg, railway
station, shopping mall, etc.) is an important topic for traffic management and control in …
station, shopping mall, etc.) is an important topic for traffic management and control in …
The importance of spatio-temporal infrastructure assessment: Evidence for 5G from the Oxford–Cambridge Arc
EJ Oughton, T Russell - Computers, Environment and Urban Systems, 2020 - Elsevier
The roll-out of 5G infrastructure can provide enhanced high capacity, low latency
communications enabling a range of new use cases. However, to deliver the improvements …
communications enabling a range of new use cases. However, to deliver the improvements …
Trajectory-as-a-sequence: a novel travel mode identification framework
Identifying travel modes from GPS tracks, as an essential technique to understand the travel
behavior of a population, has received widespread interest over the past decade. While …
behavior of a population, has received widespread interest over the past decade. While …