A survey of traffic prediction: from spatio-temporal data to intelligent transportation
H Yuan, G Li - Data Science and Engineering, 2021 - Springer
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 …
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 …
U-air: When urban air quality inference meets big data
Information about urban air quality, eg, the concentration of PM2. 5, is of great importance to
protect human health and control air pollution. While there are limited air-quality-monitor …
protect human health and control air pollution. While there are limited air-quality-monitor …
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 …
Travel time estimation of a path using sparse trajectories
In this paper, we propose a citywide and real-time model for estimating the travel time of any
path (represented as a sequence of connected road segments) in real time in a city, based …
path (represented as a sequence of connected road segments) in real time in a city, based …
T-share: A large-scale dynamic taxi ridesharing service
Taxi ridesharing can be of significant social and environmental benefit, eg by saving energy
consumption and satisfying people's commute needs. Despite the great potential, taxi …
consumption and satisfying people's commute needs. Despite the great potential, taxi …
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 …
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 …
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 …