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RISPrediction of Public Bus Passenger Flow Using Spatial–Temporal Hybrid Model of Deep Learning
Publisher: ASCE
Abstract: Passenger flow predictions are of great significance to bus scheduling and route optimization. In this paper, a novel algorithm, namely the Spatial–Temporal Graph Sequence with Attention Network (STGSAN), was proposed to ...
Multistep Traffic Speed Prediction from Spatial–Temporal Dependencies Using Graph Neural Networks
Publisher: ASCE
Abstract: Accurate traffic forecasting on citywide networks is one of the crucial urban data mining applications that accurately provide congestion warning and transportation scheduling. While previous work has made significant ...
Freeway Recurrent Bottleneck Identification Algorithms Considering Detector Data Quality Issues
Publisher: American Society of Civil Engineers
Abstract: Computer algorithms used to identify recurrent freeway bottlenecks have been studied since the deployment of loop detecting systems. Such algorithms automatically analyze the archived loop detector data and identify potential ...
Optimal Ramp Metering Control for Weaving Segments Considering Dynamic Weaving Capacity Estimation
Publisher: American Society of Civil Engineers
Abstract: On freeway corridors, traffic flow is limited by active bottlenecks. Weaving maneuvers (i.e., intensive lane changes) are a major cause of bottlenecks during high-demand periods. To relieve bottleneck severity, ramp metering ...
Modeling Driver Compliance to VSL and Quantifying Impacts of Compliance Levels and Control Strategy on Mobility and Safety
Publisher: American Society of Civil Engineers
Abstract: Variable speed limits (VSL) aim to improve freeway mobility and safety by influencing collective behaviors of drivers. Thus, VSL benefits should be positively correlated with the VSL compliance level (CL). Surprisingly, a ...