Digitized the entire transport system infrastructure including roads, intersections, public transport stations, routes, and transport zones. Developed a sophisticated mathematical macromodel serving as a "digital twin" for transport planning, incorporating:
Complete road network attributes (lanes, capacity, vehicle restrictions, traffic controls)
Public transport networks (routes, stations, schedules, fleet composition)
Transport zone delineation with integrated socio-economic data
Current transport demand patterns based on survey results and field measurements
Transport and passenger flow redistribution calculations
Developed methodological frameworks and conducted extensive field research including:
Social surveys among 3,000+ respondents to determine transport preferences and assess service quality across administrative districts and trip types
Traffic flow measurements at 50+ strategic road network points with data processing into annual averages
Full-scale passenger flow studies across 22 public transport routes
Survey analysis to evaluate public transport satisfaction, waiting times, and travel behavior patterns
Incorporated current transport demand into the mathematical model using survey and field study data
Developed comprehensive mathematical model of transport demand including:
Formation of transport demand patterns
Distribution analysis across the network
Transport choice models for mode selection behavior
Redistribution of transport demand calculations
Allocation of incoming transport volumes throughout study area
Conducted thorough model calibration by:
Calibrating private transport model components
Calibrating public transport model components
Created integrated demand modeling system with passenger flow redistribution patterns
Created multiple forecast model variants and predictive scenarios within the digital twin
Simulated future transport conditions under different development scenarios
Updated socio-economic parameters and adjusted road network characteristics
Modified public transport networks to evaluate system performance