01474945

Component

https://doi.org/10.3141/2390-07

http://scholar.google.com...Wang&publication_year=2013

Simulation of oversaturated traffic conditions, especially those that involve left-turn blockages, remains a challenge. In oversaturated conditions, left turns at intersections not only are blocked by the oversaturated through traffic in the same direction but can also be blocked by spillback into the intersection from the through traffic in the opposite direction. This research developed and tested a new model, proposed as the conditional cell transmission model (CCTM). This model allows for the possibility of the formation of an additional cell in an intersection to account for any vehicles that may be caught there for some amount of time and incur delay that may potentially cause delay to conflicting movements. The results of experiments demonstrated that (a) the CCTM could accommodate various traffic demands properly and accurately represent left-turn blockages at intersections, (b) the CCTM had the ability to simulate left-turn blockages within an area inside an intersection, and (c) the CCTM uniquely allowed users to input the probability of a conditional cell and the probability of the occurrence of a useful gap to match the behavior of local drivers. The third feature is a unique contribution of the CCTM. Finally, the consistency between Highway Capacity Manual procedures and the CCTM shows that the CCTM is a reliable methodology with which to model traffic flow in oversaturated conditions.

01516646

13-1003

English

pp 60–67

2013

Transportation Research Record: Journal of the Transportation Research Board

9780309287159

Print

Figures (5) ; References (21) ; Tables (5)

Cellular automata; Intersections; Left turns; Traffic flow theory; Traffic oversaturation; Traffic simulation

Data and Information Technology; Highways; Operations and Traffic Management; I71: Traffic Theory; I73: Traffic Control

TRIS, TRB, ATRI

Feb 5 2013 12:18PM

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• Comparing Calibrated Shared Space Simulation Model with Real-Life Data
• Gaussian Process Metamodels for Sensitivity Analysis of Traffic Simulation Models: Case Study of AIMSUN Mesoscopic Model
• Green Light Optimized Speed Advisory Systems: Impact of Signal Phasing Information Accuracy
• Inhomogeneous Flow Patterns in Undersaturated Road Networks: Implications for Macroscopic Fundamental Diagram
• Macroscopic Fundamental Diagram for Urban Streets and Mixed Traffic: Cross Comparison of Estimation Methods
• Making NGSIM Data Usable for Studies on Traffic Flow Theory: Multistep Method for Vehicle Trajectory Reconstruction
• Model-Based Traffic Congestion Control in Urban Road Networks: Analysis of Performance Criteria
• New Car-Following Model Considering Impacts of Multiple Lead Vehicle Types
• On Observable Chaotic Maps for Queuing Analysis
• Simulation-Based Assessment of Double-Parking Impacts on Traffic and Environmental Conditions
• Spatiotemporal Link Speed Correlations: Empirical Study
• Using Mobile Probe Data and the Macroscopic Fundamental Diagram to Estimate Network Densities: Tests Using Microsimulation
• Variable Speed Limit Control Based on Extended Link Transmission Model