This talk and related interactive demonstration aim to introduce our efforts in developing an Open data hub and Open-source simulation and optimization framework based on virtual tracks and transportation mesh networks. We will demonstrate how to deliver rapid prototyping of SCDT and enable smarter multimodal policy decisions. We will also discuss a cross-resolution modeling approach to enable consistency from discrete traffic simulation to continuous fluid queue-based model.

The proposed open-data-based and open-source enabled framework also intends to create a user community of thought leaders in this emerging area across different geographically distributed communities. Within the Open-SCDT context, large-scale agent-based simulator and GMNS based modeling tools aim to engage citizens with local transportation planning by making it as easy as possible to imagine how changes might affect a person’s commute. It could be used by city authorities to interactively communicate proposed and ongoing projects, by the general public to explore and submit ideas for improving their community, and by advocacy groups to educate people about options for reducing automobile dependency.