Currently, UPRM is working on a mobile computing application for automating the collection process of field inspection data using iPads or Android Tablets. The application contains standard forms of the specifications that appear in the Standard Specification of Road and Bridge Construction book. Because of their high mobility characteristics and due to their small size and light weight, these mobile devices can be used in the construction field to perform various tasks including development and evaluation of a change order and extra work.

NJ TRANSIT customers can use a smartphone application (“app”) to purchase tickets and access transit information. Most smartphones are equipped with technology that can determine the user’s location; however, this feature is currently used in a limited capacity in NJ TRANSIT’s app. By knowing a customer’s location, NJ TRANSIT could potentially provide customized information directly to passengers based on their location, which is referred to as geotargeting.

This report addresses the capacitated vehicle routing problem (CVRP) and the split delivery vehicle routing problem (SDVRP) with uncertain travel times and demands when planning vehicle routes for delivering critical supplies to the affected population in need after a disaster.

The goal of this project is to develop a comprehensive framework with a set of models to improve multi-modal traffic signal control, by incorporating advanced floating sensor data (e.g. GPS data, etc.) and traditional fixed sensor data (e.g. loop detectors, etc.). In order to accomplish this goal, we completed five tasks. First, we conduct a comprehensive survey with transportation professionals, who can bring up existing state-of-practice, open issues and future challenges in multi-modal traffic signal control.

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.

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.

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.

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.

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.

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.