Functional obsolescence and structural deficiencies of highway bridges are posing significant threats to commuters and transportation agencies throughout the United States. Recently, New York State Department of Transportation (NYSDOT) classified approximately one quarter of its bridges as functionally obsolete and one-eighth as structurally deficient. Highway bridges located in urban areas are especially at high risk of functional obsolescence as the aging highway systems in these areas face significant increases in traffic volumes.

There has long been interest in estimating origin-destination (O-D) matrices from link count (or other) data. For the most part, previous efforts have focused on creating O-D tables for passenger movements by automobile, using a single vehicle class. This report describes a formulation of the multiclass O-D estimation problem that is constructed to accept a variety of different types of data that relate O-D volumes to observed values.

The objective of this paper is to examine whether new firms are more likely to form near rail transit stations. Two relatively new light-rail systems, one in Portland, Oregon and the other in Dallas, Texas form the basis of the analysis. A geo-coded time-series database of firm births from 1991 through 2008 is analyzed using all firm births, firm births of various sizes, and firm births of specific industry sectors. A random effects negative-binomial model is used to examine associations between proximity to rail stations and other spatially defined variables.

Road pricing has gained more research attention due to its effectiveness in managing traffic congestion and financing transportation infrastructure during recent years. Most research efforts focus on the functionality of road pricing in managing traffic congestion and raising revenue. In contrast, little is known about the impact of such pricing policies on urban development over time.

Conventional photometric quantities such as illuminance and luminance make the specification and calculation of lighting possible, but are based on human visual responses under a limited range of conditions. Visual perception at nighttime, such as under roadway and vehicle lighting, often occurs under lower light levels and larger visual fields than the conditions used to develop the conventional photometric system.

Speeding is commonly recognized as exceeding the posted speed limits or driving too fast for conditions. National Center for Statistics and Analysis (NCSA) reported that speeding is a contributing factor in about one-third of all fatal traffic crashes in the United States and costs society an estimated $40 billion annually in 2004. In the U.S.

G*sin(δ) is the SuperPAVE binder specification for fatigue. This number has been studied in recent times and has been found to be an inaccurate measurement. Tests to determine a more appropriate test for fatigue were conducted, leading to the Dissipated Energy Ratio (DER) and the recent Linear Amplitude Sweep (LAS) tests.

Due to particulates common in crumb rubber-modified asphalt binders, conventional PG grading using the Dynamic Shear Rheometer (DSR) with a gap height of 1.0 mm may not be valid and in accordance with current specifications. Asphalt binder testing and mixture testing was conducted on binders with and without crumb rubber modification to determine an asphalt binder test method which best matches the mixture performance.

The New Jersey Department of Transportation would like to expand its use of polymer modified binder, however, current Superpave PG plus testing is time intensive and expensive. Multiple Stress Creep and Recovery Test (MSCR) is a relatively new test that could be used. Its use could open the state to a larger market of modified binders.

Nationwide traffic loads are increasing, pushing conventional asphalt to its limit. In New Jersey matters are made worse by the heavy use of the Northeast Corridor. Polymer modification of asphalt, which can improve both low and high performance, is already available; however, in many cases traditional Superpave testing is not sensitive enough to quantify the impact of modification, dimensioning its use. Elastic Recovery and Forced Ductility, Superpave Performance Grade Plus tests, are sensitive to polymer modification but are time intensive and costly.