Inferring traffic cascading patterns

Y Liang, Z Jiang, Y Zheng - Proceedings of the 25th acm sigspatial …, 2017 - dl.acm.org
There is an underlying cascading behavior over road networks. Traffic cascading patterns
are of great importance to easing traffic and improving urban planning. However, what we …

Robust causal dependence mining in big data network and its application to traffic flow predictions

L Li, X Su, Y Wang, Y Lin, Z Li, Y Li - Transportation Research Part C …, 2015 - Elsevier
In this paper, we focus on a special problem in transportation studies that concerns the so
called “Big Data” challenge, which is: how to build concise yet accurate traffic flow prediction …

Discovering patterns in traffic sensor data

F Banaei-Kashani, C Shahabi, B Pan - Proceedings of the 2nd ACM …, 2011 - dl.acm.org
We maintain a one of a kind, large-scale and high resolution (both spatially and temporally)
traffic sensor dataset collected from the entire Los Angeles County road network. Traffic …

Pattern expansion and consolidation on evolving graphs for continual traffic prediction

B Wang, Y Zhang, X Wang, P Wang, Z Zhou… - Proceedings of the 29th …, 2023 - dl.acm.org
Recently, spatiotemporal graph convolutional networks are becoming popular in the field of
traffic flow prediction and significantly improve prediction accuracy. However, the majority of …

Discovering congestion propagation patterns in spatio-temporal traffic data

H Nguyen, W Liu, F Chen - IEEE Transactions on Big Data, 2016 - ieeexplore.ieee.org
Traffic congestion is a condition of a segment in the road network where the traffic demand is
greater than the available road capacity. The detection of unusual traffic patterns including …

Effective urban structure inference from traffic flow dynamics

S Sarkar, S Chawla, S Ahmad… - … Transactions on Big …, 2017 - ieeexplore.ieee.org
Mobility in a city is represented as traffic flows in and out of defined urban travel or
administrative zones. While the zones and the road networks connecting them are fixed in …

Predicting traffic congestion propagation patterns: A propagation graph approach

H Xiong, A Vahedian, X Zhou, Y Li, J Luo - Proceedings of the 11th ACM …, 2018 - dl.acm.org
A traffic congestion in a road network may propagate to upstream road segments. Such a
congestion propagation may make a series of connected road segments congested in the …

Multidimensional data mining of traffic anomalies on large-scale road networks

H Gonzalez, J Han, Y Ouyang… - Transportation research …, 2011 - journals.sagepub.com
The identification and characterization of traffic anomalies on massive road networks is a
vital component of traffic monitoring and control. Anomaly identification can be used to …

Capturing the spatiotemporal evolution in road traffic networks

T Anwar, C Liu, HL Vu, MS Islam… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The urban road networks undergo frequent traffic congestions during the peak hours and
around the city center. Capturing the spatiotemporal evolution of the congestion scenario in …

City-wide traffic volume inference with loop detector data and taxi trajectories

C Meng, X Yi, L Su, J Gao, Y Zheng - Proceedings of the 25th ACM …, 2017 - dl.acm.org
The traffic volume on road segments is a vital property of the transportation efficiency. City-
wide traffic volume information can benefit people with their everyday life, and help the …