After five years of R&D, researchers have a number of independent simulation tools to evaluate different algorithms. 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. Each of these use cases will consider equity impacts on different population segments (by income level, having disabilities, age level). The project will jointly conduct some of the case studies in NYC and Seattle, enabling deeper insights of evaluated cases and promote tech transfer and collaborations to broader communities (including agencies, the industry, and the public).
An API will be developed that allows public agencies to use theMATSim models in each city with different local simulators, including an electric bus simulation, SUMO, urban delivery, and extract important social and equity-related performance measures.
Measurable benefits include using the MATSim tool to justify the social benefits of the local simulators: i.e. it would support electric bus fleet in Seattle with cost – effective vehicle scheduling , urban delivery simulation scenario can be evaluated, effect of CAV control on NYC travelers can be quantified to justify deploying in other corridors.
Deputy Director, C2SMART
Joseph Chow is the Principal Investigator on this project.
Ohay Angah is a Researcher on this project.
Xuegang (Jeff) Ban
Jeff Ban is a Co-Principal Investigator on this project.
Kaan Ozbay is a Co-Principal Investigator on this project.