01099156

Component

https://doi.org/10.3141/2088-19

http://scholar.google.com...uder&publication_year=2008

The heterogeneity of traffic is a significant if not dominant factor in accurately modeling freeway traffic flow operations. For example, high truck percentages may induce congestion at much lower volumes, and hence different network traffic conditions may result than with low truck percentages. This implies that traffic models for real-time decision support systems in traffic management centers should provide the means to account for traffic heterogeneity. A new, multiclass, first-order traffic model is presented that provides these means and is implemented in the decision-support system BOSS-Offline, operational in all five highway traffic management centers in the Netherlands. FASTLANE differs from earlier multiclass first-order macroscopic traffic models in that it calculates the dynamics in terms of state-dependent (instead of constant) passenger-car equivalents, which is in line with both theory and empirical microscopic data. The model is numerically solved by an efficient and stable Godunov-based solver while maintaining a dynamic and realistic representation of class-specific flows and densities throughout the network. In two synthetic test cases and one based on real data, the workings of FASTLANE under different truck percentages and different conditions are demonstrated.

01121596

English

pp 177-187

2008

Transportation Research Record: Journal of the Transportation Research Board

9780309126038

Print

Figures (8) ; References (17) ; Tables (1)

Decision support systems; Freeway operations; Macroscopic traffic flow; Traffic characteristics; Traffic control centers; Traffic models; Vehicle mix

Netherlands

Highways; Operations and Traffic Management; I71: Traffic Theory; I73: Traffic Control

TRIS, TRB, ATRI

Jan 29 2008 4:24PM

• Asymptotic Stability and Vehicle Safety in Dynamic Car-Following Platoon
• Calibrating Car-Following Models by Using Trajectory Data: Methodological Study
• Comparison of Simulation-Based and Model-Based Calibrations of Traffic-Flow Microsimulation Models
• Comparisons of Speed–Spacing Relations Under General Car Following Versus Lane Changing
• Desired Speed Distributions on Two-Lane Highways Under Various Conditions
• Empirical Measurement of Freeway Oscillation Characteristics: An International Comparison
• Empirical Study of Behavioral Theory of Traffic Flow: Analysis of Recurrent Bottleneck
• Estimating Acceleration and Lane-Changing Dynamics from Next Generation Simulation Trajectory Data
• Estimating Individual Speed–Spacing Relationship and Assessing Ability of Newell’s Car-Following Model to Reproduce Trajectories
• Evaluation of Corridor Traffic Management and Planning Strategies That Use Microsimulation: A Case Study
• From Existing Accident-Free Car-Following Models to Colliding Vehicles: Exploration and Assessment
• Lane Selection Model for Urban Intersections
• Macroscopic Modeling Framework Unifying Kinematic Wave Modeling and Three-Phase Traffic Theory
• Microsimulation Calibration Using Speed–Flow Relationships
• Modeling Driver Behavior as Sequential Risk-Taking Task
• New Behavioral Model for Microscopic Freeway Traffic-Flow Simulation
• On-Ramp Metering Based on Three-Phase Traffic Theory Downstream Off-Ramp and Upstream On-Ramp Bottlenecks
• Oversaturated Freeway Flow Algorithm for Use in Next Generation Simulation
• The Less-Than-Perfect Driver: A Model of Collision-Inclusive Car-Following Behavior
• Use of Microsimulation to Model Day-to-Day Variability of Intersection Performance
• Validity of Trajectory-Based Calibration Approach of Car-Following Models in Presence of Measurement Errors
• What Do Different Traffic Flow Models Mean for System-Optimal Dynamic Traffic Assignment in a Many-to-One Network?