01604725

Component

http://www.trb.org/Main/Blurbs/173225.aspx

Accuracy measures are used to quantify the accuracy of road traffic and pedestrian flow observations, models, simulations and predictions. The authors propose two new ways to measure the accuracy, by introducing and quantifying the phase error and the diffusion error. These errors take into account specific features that are of interest in traffic and pedestrian flow models. The phase error penalises a wrong estimate of the location of a high density region, the diffusion error penalises too smooth transitions between high density and low density regions. Combining the results of both accuracy measures, gives better insight than traditional accuracy measures into how the methodologies or models may be improved. Test cases show the application of the accuracy measures for the selection of a simulation method and for parameter estimation. Moreover, they show how the measures can be applied both for (one dimensional) road traffic flow and for (two dimensional) pedestrian flow.

01602496

English

pp 491-507

2015-9

Transportation Research Circular

Standing Committee on Traffic Flow Theory and Characteristics Summer Meeting

Digital/other

Figures; References; Tables

Accuracy; Error analysis; Pedestrian flow; Pedestrian traffic; Traffic flow; Traffic models

Data and Information Technology; Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting

TRIS, TRB, ATRI

Jul 15 2016 2:42PM

• A Real-Time Signal Control Strategy for Mitigating the Impact of Bus Stops on Urban Arterials
• A Second-Order Lagrangian Macroscopic Traffic Flow Model for Freeways
• A Time-Series Analysis of Highway Capacity: Case Study of Georgia 400
• Adapting Car Traffic Models and Concepts to Bicycle Traffic
• An Overview of “Revisiting the Empirical Fundamental Relationship”
• Automatic fitting procedure for the fundamental diagram
• Calibrating Multilane First-Order Traffic Flow Model with Endogenous Representation of Lane-Flow Equilibrium
• Capacity Drop: A Comparison Between Stop-and-Go Wave and Queue Congestion at Lane-Drop Bottleneck
• Collaborative Merging Behaviors and Their Impacts on Freeway Ramp Operations Under Connected Vehicle Environment
• Congestion Scenario-Based Vehicle Classification Detection Models Based on Traffic Flow Characteristics and Observed Event Data
• Continuous Flow Metering Alternative Solution to Alleviate Congestion on Interstate 70 Eisenhower–Johnson Memorial Tunnel
• Data Fusion Solutions to Compute Performance Measures for Urban Arterials
• Effects of Segregating Buses and Cars in a Congested, Non–Steady-State Street Network
• Existence, Stability, and Mitigation of Gridlock in Beltway Networks
• Gaussian Approximation for Modeling Traffic Flow on a Homogeneous Road Segment
• Heterogeneous Nonlinear Car-Following Laws for Traffic Oscillation Prediction
• Human Factors in the Fundamental Diagram
• Influential Subpaces of Connected Vehicles in Highway Traffic
• Investigation of Performance and Lane Utilization Within a Passing Lane on a Two-Lane Rural Highway
• Macroscopic Evaluation of Incident-Induced Driver Behavior Changes
• Macroscopic Relationship Between Networkwide Traffic Emissions and Fundamental Properties of the Network
• Measuring the Safety Impact of Road Infrastructure Systems on Driver Behavior: Vehicle Instrumentation and Exploratory Analysis
• Modeling Acceleration Behavior in a Connected Environment
• Optimal Velocity Model with Dual Boundary Optimal Velocity Function
• Real-Time Control of Queue Spillbacks on Signalized Arterials
• The Effect of Stochastic Volatility in Predicting Highway Breakdowns
• The Heterogeneity of Capacity Distributions Among Different Freeway Lanes
• Toward a Systematic Exploration of the Influence of Route Choices on a Network Level of Performance
• Traffic Flow Theory Milestones in Developing the TEXAS Model for Intersection Traffic in the Early 1970s
• Universalities in Fundamental Diagrams of Cars, Bicycles, and Pedestrians
• Urban Road Network Macroscopic Fundamental Diagram Analysis Under Vehicular Ad-Hoc Networks Environment
• Using Big Data and Efficient Methods to Capture Stochasticity for Calibration of Macroscopic Traffic Simulation Models
• Validating the Cost-Effectiveness Model for California’s Freeway Incident Management Program
• Variable Speed Limit Control to Increase Discharge Rates of Freeway Incident Bottlenecks