Results 281 to 290 of about 50,329,501 (342)
Some of the next articles are maybe not open access.
ACM Transactions on Intelligent Systems and Technology, 2015
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, such as people, vehicles, and animals. Many techniques have been proposed for processing, managing, and mining trajectory data in the past decade, fostering a ...
openaire +2 more sources
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, such as people, vehicles, and animals. Many techniques have been proposed for processing, managing, and mining trajectory data in the past decade, fostering a ...
openaire +2 more sources
Exploring Individual Travel Patterns Across Private Car Trajectory Data
IEEE transactions on intelligent transportation systems (Print), 2020Understanding the travel behavior of private cars will generate promising solutions on addressing urban problems such as alleviating traffic congestion and improving transport services.
Yourong Huang +4 more
semanticscholar +1 more source
Path-based queries on trajectory data
Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014In traffic research, management, and planning a number of path-based analyses are heavily used, e.g., for computing turn-times, evaluating green waves, or studying traffic flow. These analyses require retrieving the trajectories that follow the full path being analyzed.
Benjamin B. Krogh +3 more
openaire +3 more sources
2021
Massive and redundant vehicle trajectory data are continuously sent to the data center via vehicle-mounted GPS devices, causing a number of sustainable issues, such as storage, communication, and computation. Online trajectory compression becomes a promising way to alleviate these issues.
Chao Chen +3 more
openaire +1 more source
Massive and redundant vehicle trajectory data are continuously sent to the data center via vehicle-mounted GPS devices, causing a number of sustainable issues, such as storage, communication, and computation. Online trajectory compression becomes a promising way to alleviate these issues.
Chao Chen +3 more
openaire +1 more source
TrajMesa: A Distributed NoSQL Storage Engine for Big Trajectory Data
IEEE International Conference on Data Engineering, 2020Trajectory data is very useful for many urban applications. However, due to its spatio-temporal and high-volume properties, it is challenging to manage trajectory data.
Ruiyuan Li +6 more
semanticscholar +1 more source
A Conceptual Data Model for Trajectory Data Mining
2010Data mining has become very popular in the last years, and it is well known that data preprocessing is the most effort and time consuming step in the discovery process. In part, it is because database designers do not think about data mining during the conceptual design of a database, therefore data are not prepared for mining.
Vania Bogorny +2 more
openaire +2 more sources
Efficiently Targeted Billboard Advertising Using Crowdsensing Vehicle Trajectory Data
IEEE Transactions on Industrial Informatics, 2020Different from online promotion, the outdoor billboard advertising industry suffers from a lack of audience-targeted delivery and quantitative dissemination evaluation, which undermine its impact in practice and hinder it from fast development. To bridge
Liang Wang +4 more
semanticscholar +1 more source
2021
In recent years, we have witnessed the fast development of smart mobile devices. We have become the data contributors and service users of various applications in a smart city by using these mobile devices. Intuitively, uploading true locations to the server will improve the quality of services.
Chao Chen +3 more
openaire +1 more source
In recent years, we have witnessed the fast development of smart mobile devices. We have become the data contributors and service users of various applications in a smart city by using these mobile devices. Intuitively, uploading true locations to the server will improve the quality of services.
Chao Chen +3 more
openaire +1 more source
Routing with Massive Trajectory Data
2024 IEEE 40th International Conference on Data Engineering (ICDE)The unprecedented availability of new types of data coupled with the invention of new technologies combine to enable entirely new or higher-resolution services that in turn enable more rational and data-driven processes. We consider the overall process of vehicular transportation and, more specifically, the process of deciding which route to follow ...
Christian S. Jensen +4 more
openaire +2 more sources
Modeling Trajectory Data as a Directed Graph
2018In the last decade, usage of personal smartphones has tremendously increased. Almost everyone is using cell phones, which are communicating with location-aware devices. A large amount of trajectory data is produced from these devices and can be used for information services.
Ali Korkmaz +5 more
openaire +3 more sources