Results 11 to 20 of about 361,441 (286)

Spatiotemporal prediction of foot traffic [PDF]

Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising, 2021
Foot traffic is a business term to describe the number of customers that enter a point of interest (POI). This work aims to predict future foot traffic: the number of people from each census block group (CBG) that will visit each POI of a study region with potential applications in marketing and advertising.
Samiul Islam, Dhruv Gandhi, Justin Elarde, Taylor Anderson 0001, Amira Roess, Timothy F. Leslie, Hamdi Kavak, Andreas Züfle   +7 more
openaire   +1 more source

Predictive Monitoring of Traffic Rules [PDF]

2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021
Predicting the trajectories of other road users relies to a large extent on the assumption that they adhere to the legally binding traffic rules. Hence, when this assumption does not hold anymore, the prediction becomes invalid, putting autonomous vehicles relying on such predictions in a critical situation.
Luis Gressenbuch, Matthias Althoff
openaire   +1 more source

On the predictability of data network traffic [PDF]

Proceedings of the 2003 American Control Conference, 2003., 2004
The predictably of data network traffic is assessed. Different topologies and types of traffic are studied. Linear and nonlinear AR(MA) models as well as state space and models based on canonical correlation are employed. These predictors are compared against two simple predictors: 1. the prediction is the mean value of the time series, 2.
Khushboo Shah, Stephan Bohacek, Edmond A. Jonckheere   +2 more
openaire   +1 more source

GCN-GAN: Integrating Graph Convolutional Network and Generative Adversarial Network for Traffic Flow Prediction

IEEE Access, 2022
As a necessary component in intelligent transportation systems (ITS), traffic flow-based prediction can accurately estimate the traffic flow in a certain period and area in the future.
Hongling Zheng, Xiang Li, Yongfeng Li, Ziqin Yan, Tinghong Li   +4 more
doaj   +1 more source

The predictability of cellular networks traffic [PDF]

2012 International Symposium on Communications and Information Technologies (ISCIT), 2012
In order to improve the energy efficiency and resource management of cellular networks, traffic modeling and prediction has been focused in recent years. In this paper, we take advantage of entropy theory to explore the limits of predictability of cellular network traffic based on large amount of traffic dataset gathered from real cellular network in ...
Xuan Zhou 0005, Zhifeng Zhao, Rongpeng Li, Yifan Zhou, Honggang Zhang 0001   +4 more
openaire   +1 more source

AGCN-T: A Traffic Flow Prediction Model for Spatial-Temporal Network Dynamics

Journal of Advanced Transportation, 2022
Traffic prediction is the key for Intelligent Transport Systems (ITS) to achieve traffic control and traffic guidance, and the key challenge is that traffic flow has complex spatial-temporal dependence and nonlinear dynamics.
Jian Feng, Lang Yu, Rui Ma
doaj   +1 more source

A deep network with analogous self‐attention for short‐term traffic flow prediction

IET Intelligent Transport Systems, 2021
Short‐term traffic flow prediction plays a crucial role in research and application of intelligent transportation system. Neural network algorithm can use the big data for training and has more advantages over other prediction models in traffic features ...
Zhao Zhang, Xiaohong Jiao
doaj   +1 more source

STA-GCN: Spatial-Temporal Self-Attention Graph Convolutional Networks for Traffic-Flow Prediction

Applied Sciences, 2023
As an important component of intelligent transportation-management systems, accurate traffic-parameter prediction can help traffic-management departments to conduct effective traffic management.
Zhihong Chang, Chunsheng Liu, Jianmin Jia   +2 more
doaj   +1 more source

Long-Term Traffic Scheduling Based on Stacked Bidirectional Recurrent Neural Networks in Inter-Datacenter Optical Networks

IEEE Access, 2019
With the rapid evolution of high-speed mobile communications, cloud computing, and other high-bitrate datacenter-supported services, efficient and flexible traffic scheduling has become one of the fundamental tasks of inter-datacenter optical networks ...
Ao Yu, Hui Yang, Ting Xu, Baoguo Yu, Qiuyan Yao, Yajie Li, Tao Peng, Huifeng Guo, Jun Li, Jie Zhang   +9 more
doaj   +1 more source

Traffic Status Evolution Trend Prediction Based on Congestion Propagation Effects under Rainy Weather

Journal of Advanced Transportation, 2020
In rainy weather, the accurate prediction of traffic status not only helps road traffic managers to formulate traffic management methods but also helps travelers design travel routes and even adjust travel time.
Yongjie Xue, Rui Feng, Shaohua Cui, Bin Yu   +3 more
doaj   +1 more source