Finite Element Analyses and Crash Testing of NYSDOT Bridge Railing and Barrier (MASH 2016)
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.
Category: Projects
Peruse all current, past, and planned research projects from C2SMART center researchers and affiliates.
Design Finite Element Analyses and Crash Testing
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.
Blockchain for Preserving Privacy in V2X Connected Vehicle Applications in Urban Environments
C2SMART researchers developed a more efficient, secure, blockchain-based system to story mobility data on a distribute ledger. To store this data at scale, researchers leverage InterPlanetary File System (OPFS), a scalable distributed peer-to-peer data storage system, and develop efficient consensus algorithms to prevent users from injecting malicious or fake trajectories into the ledger.
Evaluation of Integrated Overweight Enforcement System using High Accuracy WIM System and Non-Proprietary ALPR System
Overview Highway transportation is the most common mode of transport in the U.S. for the movement of goods and services, as it provides quick delivery of shipments traveling short distances
Exploring Cost-effective Computer Vision Solutions for Smart Transportation Systems
This project is focused on developing a deep learning based data acquisition and analytics tool using vision-based sensors (i.e., cameras) to understand cities with machine eyes.
Urban-DEPOT: Deploying EV Charging Infrastructure in an Urban Environment
Overview Transportation is a major source of greenhouse gas emissions and air pollution, with emissions from light-duty vehicles constituting its major share. For example, the light-duty vehicles in New York
A Cost-effective Approach Towards Building a Traffic Sign Data Inventory Using Open Street Images
Traffic signs are critical assets for roadway and infrastructure management. They are also in a great variety and different conditions. According to the asset management plan proposed by US DOT, the research team proposes a cost-effective approach to build a traffic sign data inventory using open street images.
Work Zone Safety: Virtual reality-based traffic co-simulation platform for workforce training and pedestrian behavior analysis
Building off of the research team’s previous work on a smartwatch alarm application and worker attention monitoring system, this project will expand the scope to a) understand workers’ behaviors to modalities of alarms in real physical work environments, and b) improve the VR based traffic co-simulation platform to co-simulate workers position in SUMO in real time as obstacles to be recognized and calibrate the vehicle trajectories in SUMO through larger work zone/traffic vehicle trajectory datasets.
One-to-Many Simulator Interface with Virtual Test Bed for Equitable Tech Transfer
A broad API will be developed to handle interfacing any simulation with a multi-agent demand simulator. This will be tested on the existing MATSim-NYC (which will be enhanced to include freight and parcel delivery activities) and aBEAM implementation, BEAM-NYC, for three use cases in electric transit, freight, and traffic.
Developing a Framework to Optimize FloodNet Sensor Deployments Around NYC for Equitable and Impact-based Hyper-local Street-level Flood Monitoring and Data Collection
The project will build a framework to optimize and prioritize locations for FloodNet sensor deployment, for measurement of hyper – local flooding in New York City (NYC).