A streaming-data-driven method for freeway traffic state estimation using probe vehicle trajectory data
Y Han, M Zhang, Y Guo, L Zhang - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
This paper proposes a streaming-data-driven method for freeway traffic state estimation
based on probe vehicle trajectory data, which are represented by a series of timestamps …
based on probe vehicle trajectory data, which are represented by a series of timestamps …
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach
This paper proposes a privacy-preserving data fusion method for traffic state estimation
(TSE). Unlike existing works that assume all data sources to be accessible by a single …
(TSE). Unlike existing works that assume all data sources to be accessible by a single …
Data-driven evaluation methodology for active traffic management systems utilizing sparse speed data
J Robbennolt, J Hourdos - Transportation research record, 2024 - journals.sagepub.com
Many active traffic management systems and transportation systems management and
operations strategies have been evaluated for safety based on crash reduction over time …
operations strategies have been evaluated for safety based on crash reduction over time …
Analysis of the Effects of Adaptive Ramp Metering on Measures of Efficiency with a Proposed Framework for Safety Evaluation
J Loh - 2019 - search.proquest.com
Adaptive ramp metering (ARM) is a widely popular intelligent transportation system (ITS) tool
that boasts the ability to reduce congestion and streamline traffic flow during peak hour …
that boasts the ability to reduce congestion and streamline traffic flow during peak hour …