01099154

Component

https://doi.org/10.3141/2088-13

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

Interest in calibration of car-following models by using real-life microscopic trajectory data is increasing. However, more information is needed on the influence of methodological issues on calibration results as well as on the influence of practical issues related to the use of real-life data. In particular, the influence of measurement errors on parameter estimates has not yet been considered in detail. To gain insight into the influence of measurement errors on calibration results, synthetic data were created to which several types of measurement error are introduced. These data are input to a validated calibration procedure, after which it is studied how well the parameters used for creating the data can be identified from the erroneous data. The sensitivity of the objective function to small changes in the optimal parameters also is assessed. The calibrations are repeated by using different variables in the objective. The three main findings are that (a) measurement errors can yield a considerable bias in the estimation results, (b) parameters minimizing the objective function do not necessarily capture following dynamics best, and (c) measurement errors substantially reduce the sensitivity of the objective function and consequently reduce the reliability of estimation results. The extent to which these problems caused by measurement errors can be avoided by smoothing the data carefully before use is assessed and discussed.

01121596

English

pp 117-125

2008

Transportation Research Record: Journal of the Transportation Research Board

9780309126038

Print

Figures (4) ; References (18) ; Tables (1)

Calibration; Car following; Errors; Traffic data; Traffic measurement; Validation; Vehicle spacing; Vehicle trajectories

Car following models; Data smoothing

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

TRIS, TRB, ATRI

Jan 29 2008 3:36PM

• 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
• 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
• What Do Different Traffic Flow Models Mean for System-Optimal Dynamic Traffic Assignment in a Many-to-One Network?