Streamlined Workflow

Streamlined modeling process

Steps	Basic data element	Checklist of input and output, data flow (GMNS)	Process and tools	Optimization and simulation algorithm
1.Network importing	Openstreetmap, survey data, population, census data,	Osm file-> node, link,	Osm2gmns
2. Microscopic Traffic Mesh Network preparation	Node, link, (link type, capacity, multimodal uses, free-flow travel time, volume-delay function)	Microscopic node.csv. link.csv	Osm2gmns, microscopic mesh network generation intersection consolidation multi-level network in net2cell
3. Zone Creation	Zone, grid cells, accessibility	Mapping in Node_id, zone_id in node.csv	Grid2demand Hierarchical mapping between zones and nodes, clustering, We use alphanumerical grids Such as A1-C10
4. Trip generation and distribution	Trip generation rates based on population, social-demographical data	Demand matrix file	Cross-category trip generation, Linear regression, Gravity model	Cumulative logit model , Trip generation with attraction-end, trip length considerations
5. Mode choice	Auto, bus, walk, bike, rail, CAV, TNC	Demand file with mode options	Mode choice model (discrete choice)	Calibration through maximum likelihood
6. Traffic Control data preparation	Movement, phase, timing	Movement-> signal_phasing, signal_timing	Queueing model and capacity allocation
7. Traffic assignment UE	Link performance	Demand, network-> agent file, link performance	Flow mapping: OD->path-> link Travel time mapping: Link-> path -> OD User equilibrium consideration	Shortest path problem and algorithm such as label correcting ; Assignment model formulation for UE, SO, side constraints
8. Traffic flow and Queuing analysis	Capacity, cut-off speed and density, Dynamic queue profile	Time-dependent link performance	Traffic fundamental diagram	Traffic flow model selection and calibration, queueing for overcongested conditions
9. Visualization and analysis
10. Supply-side scenario preparation	Incident, work zone
11. demand-side scenario preparation	Toll/incentives, departure time adjustment
12. CAV modeling