Road traffic forecasting: Recent advances and new challenges
Due to its paramount relevance in transport planning and logistics, road traffic forecasting
has been a subject of active research within the engineering community for more than 40 …
has been a subject of active research within the engineering community for more than 40 …
[HTML][HTML] Unmanned Aerial Aircraft Systems for transportation engineering: Current practice and future challenges
Acquiring and processing video streams from static cameras has been proposed as one of
the most efficient tools for visualizing and gathering traffic information. With the latest …
the most efficient tools for visualizing and gathering traffic information. With the latest …
T-GCN: A temporal graph convolutional network for traffic prediction
Accurate and real-time traffic forecasting plays an important role in the intelligent traffic
system and is of great significance for urban traffic planning, traffic management, and traffic …
system and is of great significance for urban traffic planning, traffic management, and traffic …
Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting
Timely accurate traffic forecast is crucial for urban traffic control and guidance. Due to the
high nonlinearity and complexity of traffic flow, traditional methods cannot satisfy the …
high nonlinearity and complexity of traffic flow, traditional methods cannot satisfy the …
Big Data for transportation and mobility: recent advances, trends and challenges
Big Data is an emerging paradigm and has currently become a strong attractor of global
interest, specially within the transportation industry. The combination of disruptive …
interest, specially within the transportation industry. The combination of disruptive …
Hybrid spatio-temporal graph convolutional network: Improving traffic prediction with navigation data
R Dai, S Xu, Q Gu, C Ji, K Liu - Proceedings of the 26th acm sigkdd …, 2020 - dl.acm.org
Traffic forecasting has recently attracted increasing interest due to the popularity of online
navigation services, ridesharing and smart city projects. Owing to the non-stationary nature …
navigation services, ridesharing and smart city projects. Owing to the non-stationary nature …
Fuzzy ontology-based sentiment analysis of transportation and city feature reviews for safe traveling
Traffic congestion is rapidly increasing in urban areas, particularly in mega cities. To date,
there exist a few sensor network based systems to address this problem. However, these …
there exist a few sensor network based systems to address this problem. However, these …
[HTML][HTML] A sustainable smart mobility? Opportunities and challenges from a big data use perspective
R D'Alberto, H Giudici - Sustainable Futures, 2023 - Elsevier
This paper discusses the recent insights on the Big Data role in the sustainability of smart
mobility. Systematic Literature Review is applied to scientific publications web repositories …
mobility. Systematic Literature Review is applied to scientific publications web repositories …
UAV-based traffic analysis: A universal guiding framework based on literature survey
The Unmanned Aerial Vehicles (UAVs) commonly also known as drones are considered as
one of the most dynamic and multi-dimensional emerging technologies of the modern era …
one of the most dynamic and multi-dimensional emerging technologies of the modern era …
Edge computing and IoT analytics for agile optimization in intelligent transportation systems
With the emergence of fog and edge computing, new possibilities arise regarding the data-
driven management of citizens' mobility in smart cities. Internet of Things (IoT) analytics …
driven management of citizens' mobility in smart cities. Internet of Things (IoT) analytics …