FHWA Functional Classification Guidelines

FHWA/IN/JTRP-2006/26 Final Report EFFECTIVE AND ROBUST COORDINATION OF TRAFFIC SIGNALS ON ARTERIAL STREETS VOLUME 2 GUIDELINES OF DESIGN

JOINT TRANSPORTATION RESEARCH PROGRAM FHWA/IN/JTRP-2010/26 Final Report SITE VERIFICATION OF WEIGH-IN-MOTION TRAFFIC AND TIRTL CLASSIFICATION DATA

Highway Vehicle Classification by Probabilistic Neural Networks

The Federal Highway Administration (FHWA) Office of Highway Planning requires states to furnish vehicle classification data as part of the Highway Performance Monitoring Systems (HPMS). To comply with this requirement, most states use the “F-Scheme” to classify vehicles. This scheme classifies vehicles in 13 classes depending on a number of factors, primarily the number of axles and the axle sp...

The impact of roadway intersection design on driving performance of young and senior adults.

OBJECTIVE To test the effectiveness of the FHWA guidelines for intersection design. METHODS In an experimental design we used kinematics measures from an instrumented vehicle and behavioral (error) data collected during on-road evaluations to quantify the effects of improved versus unimproved intersections (turn phase) and to determine if these intersections were safer (vehicular stability an...

Optimal Feature Selection for Data Classification and Clustering: Techniques and Guidelines

In this paper, principles and existing feature selection methods for classifying and clustering data be introduced. To that end, categorizing frameworks for finding selected subsets, namely, search-based and non-search based procedures as well as evaluation criteria and data mining tasks are discussed. In the following, a platform is developed as an intermediate step toward developing an intell...