Category: Projects

Peruse all current, past, and planned research projects from C2SMART center researchers and affiliates.

Development and Tech Transfer of an Integrated Robust Traffic State and Parameter Estimation and Adaptive Ramp Metering Control System

Elena Chung

Dr. Zhou and Dr. Ozbay found that, if the traffic flow parameters are time-varying and/or the knowledge of these parameters are biased, the performances of a traffic state estimator that has assumed them to be known and fixed-valued can be significantly downgraded. Moreover, only augmenting these parameters into the state vector and then resorting to nonlinear recursive estimation techniques such as extended Kalman filter (EKF) cannot solve the issue. This is because, under a CTM-based traffic estimator, the critical density is unobservable under free-flow conditions, and hence biased initial knowledge of the critical density can cause false switching of the working model of the estimator and distort the estimation afterward.

Sustainability of Urban Consumption Practices

Elena Chung

This work will be conducted with the research group 6-t: Bureau de Recherche, based in Paris. The project aims to better understand and compare the consumption practices and mobility behaviors of the residents living in two of the major cities in the world (Paris and NYC). The work will be conducted through a simultaneous survey in both cities, analysis, stakeholder meeting and narrative.

Statewide Mobility Services Program Strategic Procurement Planning

Elena Chung

The current Statewide Active Transportation Demand Management (ATDM) program is nearing the end of its contract period. This assignment will assist NYSDOT in setting a strategic direction and executing a procurement strategy for a new Statewide Mobility Services Program, building on the strengths of the evolving ATDM Program while leveraging the opportunities now available in the private marketplace.

Utilizing Social Media Data for Estimating Transit Performance Metrics in a Pre- and Post-COVID-19 World

Elena Chung

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.

Equitable Access To Residential (EQUATOR) EV Charging

Elena Chung

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

Elena Chung

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

Elena Chung

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.