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RISUsing Machine Learning to Estimate Pedestrian and Bicyclist Count of Intersection by Bluetooth Low Energy
Publisher: ASCE
Abstract: Quantifying pedestrian and bicycle traffic is important for planning, investment, and safety improvements. Traffic agencies have implemented various pedestrian/bicyclist detection systems, but the accuracy is unsatisfactory ...
Real-Time Crash Likelihood Prediction Using Temporal Attention–Based Deep Learning and Trajectory Fusion
Publisher: ASCE
Abstract: A crucial component of the proactive traffic safety management system is the real-time crash likelihood prediction model, which takes real-time traffic data as input and predicts the crash likelihood for the next 5+ min. ...
Factors Contributing to Operating Speeds on Arterial Roads by Context Classifications
Publisher: ASCE
Abstract: The aim of this study was to evaluate and identify the factors influencing operating speed considering context classification. The study focused on three context classifications: C3R–Suburban Residential, C3C–Suburban ...
Application of Random Effects Nonlinear Model for Analyzing Motorized and Nonmotorized Traffic Safety Performance
Publisher: ASCE
Abstract: In this paper, we investigated the influence of the cross-sectional characteristics of bicycle lanes on motorized and nonmotorized traffic safety. The safety effects of bicycle lanes with different widths were assessed ...
Safety Effectiveness of Rectangular Rapid Flashing Beacons Pedestrian Enhancement
Publisher: ASCE
Abstract: A rectangular rapid flashing beacon (RRFB) is a pedestrian crosswalk countermeasure system that cautions drivers by providing them with real-time warning about the presence of pedestrians in an upcoming crosswalk. This ...
Application of GLASSO in Variable Selection and Crash Prediction at Unsignalized Intersections
Publisher: American Society of Civil Engineers
Abstract: In this paper, a new promising variable screening technique is proposed to select important covariates and to improve crash prediction; the group least absolute shrinkage and selection operator (GLASSO). The GLASSO’s main ...
Understanding Drivers’ Route Choice Under Long-Term Pretrip and Short-Term En-Route Traffic Information Using Generalized Estimating Equations
Publisher: American Society of Civil Engineers
Abstract: This paper addresses two drivers’ route choice paradigms by modeling the factors that affect drivers’ compliance with a long-term pretrip advised route and modeling drivers’ usage of en-route short-term traffic information. ...
Investigating the Effect of Light Truck Vehicle Percentages on Rear-End Fatal Traffic Crashes
Publisher: American Society of Civil Engineers
Abstract: Millions of Americans buy light truck vehicles (LTVs) each year to meet family, business, and personal travel needs. The main objective of this research is to study the effect of the increased percentage of LTVs in traffic ...
Investigating the Effect of Light Truck Vehicle Percentages on Head-On Fatal Traffic Crashes
Publisher: American Society of Civil Engineers
Abstract: The market share of light truck vehicles (LTVs) is increasing rapidly, causing a change in traffic composition in the United States. LTVs include vans, minivans, light duty trucks, and sport-utility vehicles. Users of such ...
Real-Time Crash Risk Reduction on Freeways Using Coordinated and Uncoordinated Ramp Metering Approaches
Publisher: American Society of Civil Engineers
Abstract: This study was conducted to examine the ability of two ramp metering strategies at reducing the real-time crash risk along a typical urban freeway. The strategies were tested using a simulated freeway network of Interstate-4 ...