The objectives of this research are to understand the economic importance of border bridges on the U.S.-Canada economies, especially involving the various US states proximate to the Provinces of Ontario, and to simulate various the U.S.-Canada border bridge policy and security scenarios. To this end, we combined a novel bi-national highway network data with a freight flow dataset using ports of entry (POE) via highway border crossings. Through several sub-procedures, the US and Canada highway systems are integrated into a single network dataset.

This paper develops a random utility based estimation framework for the Household Activity Pattern Problem (HAPP). Based on the realization that output of complex activity-travel decisions form a continuous pattern in space-time dimension, the estimation framework is treated as a pattern selection problem.

Plug-in hybrid electric vehicles (PHEV) are likely to increase in popularity in the near future. However, the environmental benefits of PHEVs involve tradeoffs between the benefits of reduced tailpipe emissions against the drawbacks of increased emissions at marginal electric generation plants and reduced gasoline tax income. In this report, a model is developed that will enable these tradeoffs to be studied. The model accounts for local commuting patterns and marginal electric generation in New Jersey.

Evidence is rapidly accumulating that attaining the full set of benefits from Automated Vehicles (AVs) will require that they do not merely mimic human-driving behavior.

Public-private partnerships (PPPs) in transportation infrastructure projects refer to contractual agreements formed between a public Agency and a private sector entity to allow for greater private sector participation in project delivery. At the current time, most Agencies do not have a set of straightforward guidelines by which they decide whether to adopt PPP for a given project, and if to adopt one, which type of PPP should be adopted.

This report summarizes the findings of an experimental evaluation into alkali silica reaction (ASR) in cement free alkali-activated slag and fly ash binder concrete. The susceptibility of alkali-activated fly ash and slag concrete binders to deleterious ASR was evaluated in accordance with relevant ASTM standards.

The objective of this research was to develop a systematic methodology to understand overall demand, destination type choice, and route choice decisions in the aftermath of a hurricane. It will consider transportation, social and other relevant factors such as actions of agencies dealing with emergency operations. Data collected from past hurricanes will be used to estimate and calibrate the evacuation demand and behavior models. This research is focused on the New York/New Jersey metropolitan area, and will utilize available data sources in this area to conduct the proposed work.

This research aims to evaluate the different parking conditions that drivers face in critical areas of New York City, to examine the variables that impact their curbside behavior, and to develop recommendations to improve curb management.

The goal of this project is to develop a portable system for determining the mineralogical composition of aggregates in the field for quality control. Laser Induced Breakdown Spectroscopy (LIBS), which involves firing a laser pulse at a sample to determine its composition from light spectra emitted and interpreted using a spectrometer and a custom program, was chosen to be the basis of the portable system.

In this study, a fully immersive Virtual Reality (VR) based driving simulator was developed to serve as a “proof-of-concept” that VR can be utilized to assess the level of fatigue (or drowsiness) truck drivers typically experience during real-life driving conditions. This study also involved examining the impact of varying driving conditions (i.e., weather conditions and driving time (day or night)) on drivers’ fatigue measure.