01557890

Component

https://doi.org/10.3141/2490-13

A new multidimensional framework for modeling car following on the basis of statistical evaluation of driver behavior in work and nonwork zones is presented. The models developed as part of this multidimensional framework use psychophysical concepts for car following that are close in character to the Wiedemann model used in popular traffic simulation software such as VISSIM. The authors hypothesized that with an instrumented research vehicle (IRV) in a living laboratory (LL) along a roadway, the parameters of models developed from the multidimensional framework could be derived statistically and calibrated for driver behavior in work zones. This hypothesis was validated with data collected from a group of 64 random participants who drove the IRV through an LL set up along a work zone on I-95 near Washington, D.C. For this validation, the IRV was equipped with sensors, including radar, and an onboard data collection system to record the vehicle performance. One of the limitations of current car-following models is that they account for only one overall behavioral condition. This study demonstrated that there are four different categories of car-following behavior models, each with different parameter distributions: the four categories are divided by traffic condition (congested versus noncongested) and by roadway condition (work versus nonwork zone). Calibrated threshold values for each of these four categories are presented. Furthermore, this new framework for modeling car-following behavior is described in a multidimensional setting and can be used to enhance vehicle behavior in microsimulation models.

01582745

15-4876

English

pp 116–126

2015

Transportation Research Record: Journal of the Transportation Research Board

9780309369206

Print

Figures (6) ; Maps; References (22) ; Tables (2)

Behavior; Car following; Drivers; Instrumented vehicles; Microsimulation; Psychological aspects; Work zone traffic control; Work zones

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

TRIS, TRB, ATRI

Dec 30 2014 1:37PM

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• Elevated Desired Speed and Change in Desired Direction: Effects on Collective Pedestrian Flow Characteristics
• Empirical Estimation of Desired Speed Distributions for Microscopic Traffic Simulation
• Fitting Time Headway–Vehicle Speed Bivariate Distributions: Operational Procedure for Two-Way Two-Lane Roads
• Fuzzy Cellular Automata Models for Crowd Movement Dynamics at Signalized Pedestrian Crossings
• Halphen Distribution System, Toolbox for Modeling Travel Time Variability: Some Insights from Mesoscopic Simulation
• Impacts of Different Angles and Speeds on Behavior of Pedestrian Crowd Merging
• Left-Lane Changes in Laterally Unbalanced Traffic: Estimating Number of Lane Changes with Data from Lane-Based Loop Detectors
• Microscopic Simulation of Synchronized Flow in Oversaturated City Traffic: Effect of Driver’s Speed Adaptation
• Modeling and Analysis of Lateral Driver Behavior in Lane-Changing Execution
• Modeling Pedestrian Crowd Exit Choice Through Combining Sources of Stated Preference Data
• Network Traffic Signal Control with Nonconvex Alternating Direction Method of Multipliers Formulations
• Real-Time Travel Time Prediction Framework for Departure Time and Route Advice