01520778

Component

https://doi.org/10.3141/2422-07

http://scholar.google.com...lizi&publication_year=2014

Regardless of the application domain, researchers are always interested in modeling natural phenomena in the simplest way while capturing key features and producing valid conclusions. The research presented in this paper extends a previous study by developing a simple model that estimates the traffic stream flow passing a moving bottleneck. Specifically, the research presented in this paper extends the deterministic modeling approach by considering differences in driver and vehicle behavior with simulated data generated with the INTEGRATION software. It is shown that the impact of speed distribution is more notable for high demand levels and results in a decrease in the passing rate, which is consistent with traffic flow theory. Finally, the paper demonstrates that the roadway jam density has no effect or a minimal effect on the bottleneck passing rates. With the presented extension, the proposed framework is comprehensive for estimation of the passing rate around moving bottlenecks.

01541038

14-0284

English

pp 61–70

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295079

Print

Figures (7) ; References (26) ; Tables (3)

Bottlenecks; Drivers; Passing; Speed distribution; Traffic flow rate; Traffic models

INTEGRATION (Computer model)

Fundamental diagram

Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; I71: Traffic Theory; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 27 2014 2:11PM

• Analytical Derivation of Capacity at Diverging Junctions
• Automated Driving, Traffic Flow Efficiency, and Human Factors: Literature Review
• Calibration, Estimation, and Sampling Issues of Car-Following Parameters
• Clustering Approach for Assessing the Travel Time Variability of Arterials
• Comprehensive Approach for the Sensitivity Analysis of High-Dimensional and Computationally Expensive Traffic Simulation Models
• Dynamics of Urban Network Traffic Flow During a Large-Scale Evacuation
• Empirical Analysis of Vehicle Time Headways and Speeds on Rural Two-Lane, Two-Way Roads
• Empirical Observations of Congestion Propagation and Dynamic Partitioning with Probe Data for Large-Scale Systems
• Estimating Network Fundamental Diagram Using Three-Dimensional Vehicle Trajectories: Extending Edie’s Definitions of Traffic Flow Variables to Networks
• Jam Occupancy and Other Lingering Problems with Empirical Fundamental Relationships
• Modeling Reliability in Freeway Networks
• New Generic Multiclass Kinematic Wave Traffic Flow Model: Model Development and Analysis of Its Properties
• On the Consistency of Freeway Macroscopic Merging Models
• Shock Wave Approach for Estimating Queue Length at Signalized Intersections by Fusing Data from Point and Mobile Sensors
• Using Travel Time Data to Generate Aggregated Measures of Traffic