[PDF][PDF] Lightweight traffic anomaly detection: A case study with SCATS volume data of Melbourne
IT Sarteshnizi, M Sarvi… - Australasian …, 2023 - australasiantransportresearchforum …
In this paper, we evaluate performance of an anomaly detection framework with real traffic
count data collected by SCATS (Sydney Coordinated Adaptive Traffic System) loop …
count data collected by SCATS (Sydney Coordinated Adaptive Traffic System) loop …
Traffic Anomaly Detection: Exploiting Temporal Positioning of Flow-Density Samples
It is of paramount importance to detect traffic data anomalies in a real-time manner as it
helps efficient traffic control and management. Several unsupervised anomaly detection …
helps efficient traffic control and management. Several unsupervised anomaly detection …
[PDF][PDF] Threshold-free anomaly detection on traffic flow data with reinforcement learning
When the traffic network is unexpectedly congested, there is usually a direct and far-
reaching impact on the downstream links, which requires instant reaction from the operators …
reaching impact on the downstream links, which requires instant reaction from the operators …
Adaptable anomaly detection in traffic flow time series
MR Alam, I Gerostathopoulos, S Amini… - … on Models and …, 2019 - ieeexplore.ieee.org
Analysis of traffic data is an essential component of many intelligent transportation system
applications where the quality of data plays an important role. Traffic data collected through …
applications where the quality of data plays an important role. Traffic data collected through …
Mawilab: combining diverse anomaly detectors for automated anomaly labeling and performance benchmarking
Evaluating anomaly detectors is a crucial task in traffic monitoring made particularly difficult
due to the lack of ground truth. The goal of the present article is to assist researchers in the …
due to the lack of ground truth. The goal of the present article is to assist researchers in the …
Enhancing Urban Traffic Sustainability: Anomaly Detection in Time Series Incorporating Spatial Correlations and Temporal Evolutions
Abstract The efficiency of Intelligent Transportation Systems (ITS) in smart cities hinges on
the accurate identification of traffic anomalies, with traffic time series data serving as the …
the accurate identification of traffic anomalies, with traffic time series data serving as the …
Detecting urban anomalies using factor analysis and one class support vector machine
The detection of anomalies in spatiotemporal traffic data is not only critical for intelligent
transportation systems and public safety but also very challenging. Anomalies in traffic data …
transportation systems and public safety but also very challenging. Anomalies in traffic data …
Urban sensing for anomalous event detection: Distinguishing between legitimate traffic changes and abnormal traffic variability
M Zameni, M He, M Moshtaghi, Z Ghafoori… - Machine Learning and …, 2019 - Springer
Sensors deployed in different parts of a city continuously record traffic data, such as vehicle
flows and pedestrian counts. We define an unexpected change in the traffic counts as an …
flows and pedestrian counts. We define an unexpected change in the traffic counts as an …
[PDF][PDF] Interactive Anomaly Detection in time series resulting from local traffic measurements
The identification and optimization of problem sections in the road network, as well as the
estimation and optimization of the time of travel is a challenge of great interest in the field of …
estimation and optimization of the time of travel is a challenge of great interest in the field of …
Traffic anomaly detection via conditional normalizing flow
Traffic congestion anomaly detection is of paramount importance in intelligent traffic
systems. The goals of transportation agencies are two-fold: to monitor the general traffic …
systems. The goals of transportation agencies are two-fold: to monitor the general traffic …