01121593

Component

https://doi.org/10.3141/2088-02

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

A new behavioral model for microscopic freeway traffic-flow simulation is presented. As a key feature, the model is subdivided into small modules, each dealing with one distinct problem or intention of the current driving task. The modules operate independently of each other. Each module provides a situation-based vote for the longitudinal and the lateral movement of the vehicle. Subsequently, the individual votes are combined by applying a procedure that can be described as a virtual fuzzification. The model also incorporates the chronological sequence of the individual votes; decisions depend not only on the current evaluation of a driving task but also on the trend of prior evaluations. Thus, it emulates actual driver behavior. The behavioral model was implemented into the simulation software BABSIM and field tested. It is shown that the model is valid for various applications ranging from rather simple freeway sections over a lane reduction up to complex multilane on ramps and off ramps. Thus, the new approach is a valuable contribution to freeway traffic-flow modeling and simulation. It provides more accurate results and a more flexible use of the simulation software. At the same time, the straightforward and concise structure of the model simplifies its maintenance and ensures the expandability of the concept. All this promotes further use of traffic-flow simulation and leads the way for promising future developments.

01121596

English

pp 10-17

2008

Transportation Research Record: Journal of the Transportation Research Board

9780309126038

Print

Figures (5) ; References (12) ; Tables (3)

Behavior; Driving; Field tests; Freeways; Microscopic traffic flow; Microsimulation; Traffic simulation

Behavioral models; Modules (Computer programs)

Highways; Operations and Traffic Management; I71: Traffic Theory

TRIS, TRB, ATRI

Feb 6 2009 9:58AM

• 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
• FASTLANE: New Multiclass First-Order Traffic Flow Model
• 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
• 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?