01022840

Component

https://doi.org/10.3141/1934-27

http://scholar.google.com...sidy&publication_year=2005

Occupancies and flows were jointly sampled from freeway segments in nearly stationary, unqueued traffic. When plots of occupancy per lane versus flow per lane were normalized by n (the number of travel lanes in the freeway segment from which a data set came), the plots took shapes that were piecewise linear in form (except for conditions that were near capacity) and were clearly influenced by n. Drivers adopted a higher speed (for a given occupancy) while traveling on segments of greater n. Yet, the speeds on these wider segments exhibited greater sensitivity: drivers began decelerating at relatively low occupancies. These findings came from a comparison of a data plot from each of five different freeway segments with the plot from its neighboring segment. Because each segment appeared to differ from its neighbor only in its n, the comparisons (approximately) controlled for other influential factors, including geometric design standards, speed limit, and driver population. The five pairwise comparisons, which verify the reproducibility of the effects of n on the data, were performed for freeways in and near Toronto, Ontario, Canada, and California. The findings are compared with the information currently provided in traffic handbooks.

01022818

English

pp 256-263

2005

Transportation Research Record: Journal of the Transportation Research Board

0309094089

Print

Figures (7) ; References (11)

Freeways; Lane occupancy; Traffic flow; Traffic speed

Travel lanes

California; Toronto (Canada)

Highways; Operations and Traffic Management; I71: Traffic Theory

TRIS, TRB, ATRI

Apr 16 2006 7:38PM

• Analysis and Comparison of Microscopic Traffic Flow Models with Real Traffic Microscopic Data
• Calibration and Validation of Microscopic Models of Traffic Flow
• Calibration of Distributions of Commercial Motor Vehicles in CORSIM
• Calibration of Flow–Density Relationships on Urban Streets
• Car-Following Behavior Analysis from Microscopic Trajectory Data
• Car-Following Model for Motorway Traffic
• Development and Evaluation of a Procedure for the Calibration of Simulation Models
• Development of Multiregime Speed–Density Relationships by Cluster Analysis
• Driver Turn-Taking Behavior in Congested Freeway Merges
• Empirical Analysis of Traffic Sensor Data Surrounding a Bottleneck on a German Autobahn
• Experimental Analysis of Car-Following Dynamics and Traffic Stability
• First In, First Out Properties of a Commodity-Based Kinematic Wave Simulation Model
• First-Order Pedestrian Traffic Flow Theory
• Hybrid Mesoscopic–Microscopic Traffic Simulation
• Lane-Changing Model with Explicit Target Lane Choice
• Modeling Speed Disturbance Absorption Following Current State–Control Action–Expected State Chains: Integrated Car-Following and Lane-Changing Scenarios
• Nonstationary Kalman Filter for Estimation of Accurate and Consistent Car-Following Data
• Online Calibration of Traffic Prediction Models
• Paramics Simulation of Periodic Oscillations Caused by Network Geometry
• Prediction of Arrival Profiles and Queue Lengths Along Signalized Arterials by Using a Markov Decision Process
• Stability of Freeway Bottleneck Flow Phenomena
• Start-Up Delays of Queued Vehicles
• Transformation Between Uninterrupted and Interrupted Speeds for Urban Road Applications
• Variation in Freeway Lane Use Patterns with Volume, Time of Day, and Location
• Vehicle-Type and Lane–Specific Free Speed Distributions on Motorways: A Novel Estimation Approach Using Censored Observations
• Versatile Model for Simulation of Rural Road Traffic