01152662

Component

https://doi.org/10.3141/2173-13

http://scholar.google.com...hang&publication_year=2010

Three pattern recognition methods were applied to classify freeway traffic flow conditions on the basis of flow characteristics. The methods are K-means, fuzzy C-means, and CLARA (clustering large applications), which fall into the category of unsupervised learning and require the least amount of knowledge about the data set. The classification results from the three clustering methods were compared with the "Highway Capacity Manual" (HCM) level-of-service criteria. Through this process, the best clustering method consistent with the HCM classification was identified. Clustering methods were then used to further categorize oversaturated flow conditions to supplement the HCM classification. The clustering results supported the HCM’s density-based level-of-service criterion for uncongested flow. In addition, the methods provide a means of reasonably categorizing oversaturated flow conditions, which the HCM is currently unable to do.

01323680

10-3392

English

pp 105-114

2010

Transportation Research Record: Journal of the Transportation Research Board

9780309160438

Print

Figures (9) ; References (23) ; Tables (2)

Cluster analysis; Freeways; Highway capacity; Highway operations; Level of service; Traffic data; Traffic density; Traffic flow; Traffic oversaturation

Highway Capacity Manual

Highways; Operations and Traffic Management; I71: Traffic Theory

TRIS, TRB, ATRI

Jan 25 2010 11:42AM

• Analysis of Left-Turn Saturation Flow Rates and Capacity at Signalized Intersections
• Assessing the Benefits of Incident Management Systems: Combining Freeway Facility Procedures from the "Highway Capacity Manual" and Data Archives of Intelligent Transportation Systems
• Consistency of Stochastic Capacity Estimations
• Control Delay at Signalized Diamond Interchanges Considering Internal Queue Spillback
• Differentiated Analysis of Level of Service F Within the German "Highway Capacity Manual"
• Empirical Analysis of Effects of Wait Time and Rain Intensity on Driver Left-Turn Gap Acceptance Behavior
• Estimating Performance on Two-Lane Highways: Case Study Validation of a New Methodology
• Estimating Sustained Service Rates at Signalized Intersections with Short Left-Turn Pockets: Mesoscopic Approach
• Impact of Left-Turn Spillover on Through Movement Discharge at Signalized Intersections
• Level of Service: 2010 and Beyond
• Modeling Impedance Effects of Left Turners from Major Streets with Shared Short Lanes at Two-Way Stop-Controlled Intersections
• Modified Critical Movement Analysis Approach for Signalized Intersections
• Pedestrian Delay at Signalized Intersections with a Two-Stage Crossing Design
• Predicting Arrival Flow Profiles and Platoon Dispersion for Urban Street Segments
• Urban Street Performance: Level of Service and Quality of Progression Analysis