A survey of traffic prediction: from spatio-temporal data to intelligent transportation
Intelligent transportation (eg, intelligent traffic light) makes our travel more convenient and
efficient. With the development of mobile Internet and position technologies, it is reasonable …
efficient. With the development of mobile Internet and position technologies, it is reasonable …
Survey on traffic prediction in smart cities
The rapid development in machine learning and in the emergence of new data sources
makes it possible to examine and predict traffic conditions in smart cities more accurately …
makes it possible to examine and predict traffic conditions in smart cities more accurately …
Trajectory data mining: an overview
Y Zheng - ACM Transactions on Intelligent Systems and …, 2015 - dl.acm.org
The advances in location-acquisition and mobile computing techniques have generated
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …
Urban flow prediction from spatiotemporal data using machine learning: A survey
Urban spatiotemporal flow prediction is of great importance to traffic management, land use,
public safety. This prediction task is affected by several complex and dynamic factors, such …
public safety. This prediction task is affected by several complex and dynamic factors, such …
Urban computing: concepts, methodologies, and applications
Urbanization's rapid progress has modernized many people's lives but also engendered big
issues, such as traffic congestion, energy consumption, and pollution. Urban computing …
issues, such as traffic congestion, energy consumption, and pollution. Urban computing …
A survey on trajectory data management, analytics, and learning
Recent advances in sensor and mobile devices have enabled an unprecedented increase
in the availability and collection of urban trajectory data, thus increasing the demand for …
in the availability and collection of urban trajectory data, thus increasing the demand for …
Driving with knowledge from the physical world
This paper presents a Cloud-based system computing customized and practically fast
driving routes for an end user using (historical and real-time) traffic conditions and driver …
driving routes for an end user using (historical and real-time) traffic conditions and driver …
T-drive: driving directions based on taxi trajectories
GPS-equipped taxis can be regarded as mobile sensors probing traffic flows on road
surfaces, and taxi drivers are usually experienced in finding the fastest (quickest) route to a …
surfaces, and taxi drivers are usually experienced in finding the fastest (quickest) route to a …
A survey of traffic data visualization
Data-driven intelligent transportation systems utilize data resources generated within
intelligent systems to improve the performance of transportation systems and provide …
intelligent systems to improve the performance of transportation systems and provide …
Fast map matching, an algorithm integrating hidden Markov model with precomputation
C Yang, G Gidofalvi - International Journal of Geographical …, 2018 - Taylor & Francis
Wide deployment of global positioning system (GPS) sensors has generated a large amount
of data with numerous applications in transportation research. Due to the observation error …
of data with numerous applications in transportation research. Due to the observation error …