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.

C2SMART Mobility Data Dashboard: MATSim

As part of the MATSim-NYC development, we calibrated a behavioral model (estimated as a tour-based nested logit model) for choosing different modes of transportation in NYC, which was encoded into the MATSim-NYC simulation as utility function parameters. Using the COVID mobility data, we recalibrated the behavior model to reflect the increased aversion to use shared use modes like public transit.

C2SMART Mobility Data Dashboard COVID-19 Travel Survey

An online survey focusing on travel trends under the impact of COVID-19 was administered from July to October 2020, after approval by the Institutional Review Board (IRB). The objective of the survey is to look at how different disadvantaged population groups, especially people with disabilities and low-income households, were affected by the changes as a result of COVID-19.

Using MATSim-NYC to Optimize the Brooklyn Bus Network Redesign

Using MATSim-NYC, the BUILT Lab at C2SMART simulated a proposed network redesign to improve the level of service for the users as well as reduce the operating costs for the MTA. Bus network redesigns will impact travelers’ mode, route, and departure time choices, and the synthetic population in MATSim-NYC allows simulations to incorporate potential impacts on all of these to generate optimally designed transit routes.