Adaptive Control Software Lite (ACS-Lite) is a traffic signal timing optimization system that dynamically adjusts traffic signal timings to meet current traffic demands. The purpose of this research project was to deploy and evaluate the ACS-Lite adaptive traffic control system on a congested urban corridor in New York State (NYS). In this case, the Wolf Road Corridor in Albany, New York, was chosen.

Because of their inherent flexibility and low damping ratios, cantilevered mast-arm traffic signal structures are susceptible to wind-induced vibrations. These vibrations cause structural stresses and strains to develop in a cyclical fashion which can lead to reduced service life due to fatigue and, in extreme cases, full collapse.

One of the most important equations in highway design is the formula for the minimum radius of horizontal curve which considers the design speed of the highway, the superelevation, and the side friction factor. Traditionally, differences in the highway vertical alignment features, which are prevalent at areas with rolling and mountainous terrains, are not considered in this part of the design process. Past research has indicated that drivers perceive horizontal curves differently when compared with highway sections in which both horizontal and vertical curves overlap.

Extreme events of all kinds are increasing in number, severity, or impacts. Transportation provides a vital support service for people in such circumstances in the short-term for evacuation and providing supplies where evacuation is not undertaken, yet, transportation services are often disabled in disasters. Nationwide and in New York and New Jersey record-setting weather disasters have occurred and are expected to continue. Disadvantaged populations are particularly vulnerable.

The GASCAP model was developed to provide a software tool for analysis of the life-cycle GHG emissions associated with the construction and maintenance of transportation projects.

The GASCAP model was developed to provide a software tool for analysis of the life-cycle GHG emissions associated with the construction and maintenance of transportation projects.

High-resolution simulation is made to model tidal energy along the coastlines of New Jersey (NJ) and its neighbor states with an unprecedentedly fine grid. On the basis of the simulation, a thorough search is made for sites for tidal power generation, with special attention to locations near transportation infrastructures, considering factors such as power density, surface area, water depth, and environmentally sensitive zones, and it also examines effects of sea-level-rise (SLR).

The nighttime driving environment, consisting of roadway illumination, signs, vehicle lighting and markers, delineators and flashing lights, can be complex or even confusing for both pedestrians and drivers. The nighttime construction environment is even more complex and even chaotic because of the added presence of workers, construction equipment and bright lights (which are sometimes flashing). Work zones at night often involve changing conditions and new traffic patterns that are unfamiliar to drivers.

Offshore wind (OSW) development is a new undertaking in the US. This project is a response to New Jersey’s 2011 Energy Master Plan that envisions procuring 22.5% of the state’s power originating from renewable sources by 2021. The Offshore Wind Economic Development Act called for at least 1,100 MW of Offshore Wind generations to be subsidized by an Offshore Wind Renewable Energy Certificate program. The overreaching goal of this research is to provide information and recommendations for the maritime aspects, both vessel and port interface.

Exposure to fine particle pollution can cause premature death and harmful cardiovascular effects such as heart attacks and strokes, and is linked to a variety of other significant health problems. NYC, one of the most populous urban areas in the US has been mentioned frequently both as problematic in terms of concentrations of particulate matter and asthma rates, and as a success story in terms of air quality management.