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A Probability-Based Approach for Assessment of Roadway Safety Hardware

This report presents a general probability-based approach for assessment of roadway safety hardware (RSH). It was achieved using a reliability analysis method and computational techniques. With the development of high-fidelity finite element (FE) models, numerical crash simulations can be performed to evaluate various RSH systems, in addition to crash tests. For highly nonlinear and implicit impact responses, metamodeling techniques provide a rational approach to replace the expensive numerical simulations.

Impacts of Freight Parking Policies in Urban Areas: The Case of New York City

The research has tested several policy scenarios, and the practical implications of parking supply management is discussed. The results obtained help provide a better understanding of the need of freight parking and the policy alternatives available to improve the efficiency of urban freight systems. The results of the simulation provided the following insights related to which parking policies could be implemented to improve freight parking.

Quantitative Analysis of Residential Parking Intrusions by Passenger Vehicles in New York City

This paper investigates the spatial patterns of residential parking intrusions in New York City, their determinants, and an estimated number and spatial patterns of induced excessive vehicle miles traveled (VMT). The paper analyzes parking tickets data with driver registration demographic data, and determines potential residential parking intrusions of passenger vehicles. Results show that significant clusters of intrusions are mainly located in almost all the residential areas of Manhattan, and some residential areas of Bronx, Brooklyn, and Queens.

Feasibility Assessment for Battery Electric Vehicles based on Multi-Day Activity-Travel Patterns

A Battery Electric Vehicle (BEV) feasibility considering State Of Charge (SOC) level is assessed using multiday activity-travel patterns to overcome the limitations of using oneday activity-travel patterns. Since multi-day activity-travel patterns are not readily available, we generate multi-day activity-travel patterns through sampling from readily available single-day household travel survey data with considerations of day-to-day intrapersonal variability.

Broadband Hybrid Electromagnetic and Piezoelectric Energy Harvesting from Ambient Vibrations and Pneumatic Vortices Induced by Running Subway Trains

The airfoil-based electromagnetic energy harvester containing parallel array motion between moving coil and trajectory matching multi-pole magnets was investigated. The magnets were aligned in an alternatively magnetized formation of 6 magnets to explore enhanced power density. In particular, the magnet array was positioned in parallel to the trajectory of the tip coil within its tip deflection span.

Major Workforce Challenges Confronting New York City Transit Industry

The purpose of this research was to identify the pressing workforce issues confronted by transit authorities nationwide and promising ways in which they are being addressed. The study also included a closer examination of New York City Transit (NYCT), the nation’s largest transit authority, to consider its challenges and which solutions could be brought to bear to address them.

Real-Time Estimation of Transit OD Patterns and Delays Using Low Cost-Ubiquitous Advanced Technologies

The main objective of this project is to develop and conduct limited testing of novel sensors using Bluetooth technology (BT) to estimate OD demands and station wait times for users of public transit stations. The NYU research team tested the feasibility of the utilization of sensors with Bluetooth technology to estimate Origin-Destination (OD) demands and station waittimes of users of transit systems with a focus on subway systems.

Integration of Bus Stop Counts Data with Census Data for Improving Bus Service

This research project produced an open source transit market data visualization and analysis tool suite, The Bus Transit Market Analyst (BTMA), which contains user-friendly GIS mapping and data analytics tools, and state-of-the-art transit demand modeling microsimulation capabilities. BTMA combines both archived transit operations data (e.g., automatic fare-box data), and new open data resources, particularly GTFS and US Census.

Characterizing and Quantifying the Shrinkage Resistance of Alkali-Activated (Cement Free) Concrete and Evaluating Potential Methods for Reducing Early-Age Cracking in Pavements and Bridges

This report summarizes the findings of an experimental investigation into shrinkage, and the mitigation thereof, in alkaliactivated fly ash and slag binders and concrete. The early-age (chemical and autogenous) and later-age (drying and carbonation) shrinkage of sodium silicate-activated fly ash and slag binders was evaluated in accordance with relevant specifications. The influence of activator concentration and water content on the resulting shrinkage was investigated. The shrinkage behavior of alkali-activated binders and concrete was compared to that of ordinary portland cement.

Review of Asset Hierarchy Criticality Assessment and Risk Analysis Practices

The MTA NYC Transit (NYCT) has begun an enterprise-wide Asset Management Improvement Program (AMIP). In 2012, NYCT developed an executive-level concept of operations that defined a new asset management framework following a systems engineering approach. NYCT has recognized the need for a fully developed asset hierarchy to enable the evaluation of performance and cost at different levels within the agency. To that end, NYCT has initiated this project as one of the initial steps in better understanding the state of the art in asset management.


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