The «Transport Modeling and Forecasting» module is used to objectively assess and adapt the transport system to changing conditions and demand. It allows predicting transport needs, analyzing the efficiency of the road network, planning and optimizing public transport routes. The module also contributes to the development of strategies to improve safety and reduce congestion, ensuring more efficient and targeted management of traffic and infrastructure.
Analysis and forecasting of transport demand to effectively predict and respond to changes in the needs of road users and public transport passengers for transport infrastructure and services, thereby ensuring a higher level of satisfaction for drivers and passengers and optimizing resources.
Optimization of the route network and planning of public transport to improve the efficiency of the city's transport infrastructure, reduce congestion and improve road safety, which in turn helps to reduce travel time and improve the environmental situation.
Development and adaptation of traffic management strategies to flexibly respond to changing traffic conditions, allowing for quick adjustments to the transport system to maintain its efficiency and reliability.
Forecasting transport demand to assist in planning and optimizing resources.
Analysis of traffic congestion and pre-congestion situations to prevent congestion in the future.
Evaluation of the effectiveness of design solutions in road traffic organization schemes.
Public transport:
Planning a public transport network that meets transport demand as much as possible.
Assessment of the possibility of organizing priority movement for public transport to speed up its movement.
Designing timetables and vehicle composition.
Development of traffic management algorithms.
Development of urban parking policies and park-and-ride parking.
Designing restricted entry zones.
Modeling of transport and pedestrian flows.
Forecasting of transport flow parameters.
Parameterization of detection zones.
Accounting for infrastructure objects and points of attraction.
Collection of a dynamic transport model
Formation of a dynamic transport model based on interaction with the subsystem for monitoring transport flow parameters.
Collection of a dynamic passenger model of passenger correspondences
Formation of a dynamic model of passenger correspondences based on the interaction of the module with the subsystems for counting passenger traffic and the subsystem for accepting payments on transport.
Macro model of the agglomeration and the region
Formation of a transport macro model of the agglomeration and the region based on license plate recognition data from the subsystem for monitoring transport flow parameters.
Importing data for the transport model
Importing transport areas, measurements, and converting GIS data from transport engineers into source data for electronic transport planning documents.
Exporting the transport model
Exporting the model (if required) to external calculation modules to prevent traffic congestion in the future.
Modelling and forecasting of the situation
Creating forecast models for the analysis and optimisation of the transport situation.
Advantages of the module
Integration and analysis of data
The module integrates information from various sources (transport detection, GLONASS tracks, cameral measurements), providing an in-depth analysis of the transport situation.
1
Accurate forecasting
Proprietary generative AI algorithms allow for accurate forecasting of transport demand and flows, optimizing planning.
2
Efficient planning of public transport routes
Improvement of the route network and timetables based on analytics and forecasts, elimination of bottlenecks for public transport, modelling of dedicated lanes for public transport.
3
Optimization in urban planning
The module helps to develop and adapt infrastructure projects to improve conditions for people with limited mobility, adapt the urban road network in developing areas of agglomerations, and harmonize and synchronize urban planning initiatives with public transportation services.
4
Improving road safety
Analysis of road safety parameters helps to identify and prevent potential problem areas, reduce mortality rates and the severity of injuries in road accidents.
5
Flexibility and scalability
Thanks to the powerful GIS tools of the platform, spatial analysis in the field of transport modeling is performed quickly and in detail, and loading spatial information from external sources is ensured by support for international GIS data exchange standards.