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 …
Urban traffic signal control under mixed traffic flows: Literature review
Mixed traffic flows are opening up new areas for research and are seen as key drivers in the
field of data and services that will make roads safer and more environmentally friendly …
field of data and services that will make roads safer and more environmentally friendly …
Multi-models machine learning methods for traffic flow estimation from floating car data
Traffic flow measurement is very important for traffic management systems. However, the
existing traditional measurement approaches are highly time-consuming and expensive to …
existing traditional measurement approaches are highly time-consuming and expensive to …
Goods delivery with electric vehicles: Electric vehicle routing optimization with time windows and partial or full recharge
T Erdelić, T Carić - Energies, 2022 - mdpi.com
With the rise of the electric vehicle market share, many logistic companies have started to
use electric vehicles for goods delivery. Compared to the vehicles with an internal …
use electric vehicles for goods delivery. Compared to the vehicles with an internal …
Predicting mobile users' next location using the semantically enriched geo-embedding model and the multilayer attention mechanism
Predicting the next location of human mobility and its semantic information can support
recommendations for location-based services and trajectory mining, such as human mobility …
recommendations for location-based services and trajectory mining, such as human mobility …
Vehicle trajectory prediction and generation using LSTM models and GANs
Vehicles' trajectory prediction is a topic with growing interest in recent years, as there are
applications in several domains ranging from autonomous driving to traffic congestion …
applications in several domains ranging from autonomous driving to traffic congestion …
Quantifying spatial disparities and influencing factors of home, work, and activity space separation in Beijing
J Liu, B Meng, M Yang, X Peng, D Zhan, G Zhi - Habitat International, 2022 - Elsevier
Due to rapid informatization and increasing urban sprawl, currently, metropolitan residents
are facing challenges regarding spatial imbalance between their home, workplace, and …
are facing challenges regarding spatial imbalance between their home, workplace, and …
Uncovering the spatiotemporal patterns of traffic congestion from large-scale trajectory data: A complex network approach
Understanding the spatiotemporal characteristics of traffic congestion is the cornerstone of
generating traffic management and control strategies. Based on the large-scale taxi …
generating traffic management and control strategies. Based on the large-scale taxi …
[HTML][HTML] Study of narrow waterways congestion based on automatic identification system (AIS) data: A case study of Houston Ship Channel
Using automatic identification system (AIS) data, this article first has extended the definition
of three widely used roadway congestion indices to maritime transportation systems (MTS) …
of three widely used roadway congestion indices to maritime transportation systems (MTS) …
[HTML][HTML] Methodology for the Identification of Vehicle Congestion Based on Dynamic Clustering
Addressing sustainable mobility in urban areas has become a priority in today's society,
given the growing population and increasing vehicular flow in these areas. Intelligent …
given the growing population and increasing vehicular flow in these areas. Intelligent …