Capital Program Resource Model (CPRM)
The objective of this study is to develop a model that links the resource requirements for Capital Program delivery functions with the NYSDOT Capital Program.
CycleBack NYC
Cycling as a commuter option is growing rapidly, and New York City seeks to build on this momentum by introducing a new affordable way for New Yorkers to obtain bicycles. Employer bicycle leasing in Europe has allowed employees to obtain a new bicycle as a fringe benefit and repay through a monthly salary deduction. Employers partner with a third-party benefits administrator to provide the service. Programs like this are really successful in Europe, and encourage healthier and more sustainable commutes, businesses, and communities.
Utilizing Social Media Data for Estimating Transit Performance Metrics in a Pre- and Post-COVID-19 World
This perception of transit can be captured through the sentiment of posts made by users on social media. Performance metrics based on user perception can provide the service provider a customer-facing view of their service and help enhance their service and address the user concerns, especially from a public health standpoint in a post-COVID lockdown world, appropriately.
Statewide Open Source Advanced Traffic Management System (ATMS) Software Research and Pilot
This project’s goal is to research, evaluate and test the ability and effectiveness of using open source ATMS software to center functionalities in a Regional TMC setting as a future procurement option to support the evolving TSMO program.
Field Application of a High-Power Density Electromagnetic Energy Harvester
This project focuses on the feasibility of the proposed EMEH to power sensors that are used to regularly monitor the structural integrity of materials and components of highway bridges such as acceleration and temperature sensors.
Equitable Access To Residential (EQUATOR) EV Charging
The primary objective of this research project is to define quantifiable metrics that make it possible to adequately represent accessibility of EV charging infrastructure and to internalize these metrics in decision-support procedures and tools that are used by utilities and authorities to determine electricity rates (tariffs) and additional incentives to promote investments in EV charging infrastructure.
A Multiscale Simulation Platform for Connected and Automated Transportation Systems
Traffic simulation is an important tool that can assist researchers, analysts, and policymakers to test vehicle/traffic control algorithms, gain insights of micro/macro traffic dynamics, and design traffic management strategies. However, different implementations require different simulation scales and there is no multiscale simulation platform that satisfies all requirements. In this research, we propose to establish a multiscale vehicle-traffic-demand (VTD) simulation platform for connected and automated transportation systems (CATS).
Work Zone Safety III: Calibration of Safety Notifications through Reinforcement Learning and Eye Tracking
According to the Federal Highway Administration (FHWA), work zone fatalities at road construction projects account for up to 3% of all workplace fatalities in a given year. We propose adding new functionality to the current VR platform to track the subjects’ attention through his/her head-movement and eye-movement to infer his/her gaze pattern. With the introduction of this method to measure the subject’s attention, we plan to capture additional critical information about the decision a worker makes.
Deployment and Tech Transfer of a Street-level Flooding Platform: Sensing and Data Sharing for Urban Accessibility and Resilience
This project aims to develop a platform to provide real-time, street-level flood information – including the presence, frequency, and severity of local surface flood events – to a range of stakeholders, including policymakers, government agencies, citizens, emergency response teams, community advocacy groups, and researchers.
Traffic Signal Optimization and Coordination in Connected Cities
This research aims to explore the basic research on developing signal control and coordination methods under the CV environment, develop a framework for urban traffic signal optimization with CVs, and test the developed methods both in traffic simulation and using real-world CV data.