Aimsun Next

Aimsun Next is a comprehensive software platform for modeling transport systems and traffic management at all levels of detail. It allows engineers and designers to create digital models of transport networks (from individual intersections to entire cities) and test various scenarios without real costs and risks.
The country of origin is Spain.

Main features and application areas:
Multilevel Modeling: Aimsun Next combines microscopic (individual pedestrians, cyclists, and cars), mesoscopic (neighborhood-level traffic flows), and macroscopic (urban and regional flows) modeling in a single environment.
Infrastructure Assessment: The software is used to evaluate new infrastructure proposals, manage roadworks, and plan transportation needs for major events.

Testing of new technologies: Allows you to simulate the operation of intelligent transport systems (ITS), connected and autonomous vehicles, as well as analyze the energy consumption of electric vehicles.
Environmental impact analysis: Includes built-in models for estimating emissions and fuel consumption, which helps in conducting environmental assessments.

Scenario Analysis: Supports the creation and comparison of various scenarios and traffic management strategies, such as changing traffic patterns, public transport schedules, or traffic light priorities.
Integration and extensibility: Provides tools for integration with third-party software (CAD, GIS, TransCAD, Vissim, etc.), supports scripting in Python and C++ API for advanced configuration.

PTV Vissim

PTV Vissim is the world's leading microscopic traffic simulation software that allows engineers and planners to create digital models of roads and reproduce the movement of all participants (cars, pedestrians, public transport, bicycles) with high accuracy. It is used to analyze, test, and validate various transportation solutions, infrastructure, and traffic management measures before they are actually implemented, as well as to simulate the behavior of autonomous vehicles (ADAS).

The country of origin is Germany.

Main features and features:
Microscopic simulation: Simulates the behavior of each vehicle and pedestrian individually, taking into account their characteristics.
Multimodality: Simulates automobile transport, public transport (buses, trams, trains), bicycles and pedestrians, as well as interactions between them.
Application:
- Performance analysis of the road network.
- Checking the effectiveness of traffic lights and other control systems.
- Testing of new infrastructure projects (intersections, roads).
- Development and testing of driver assistance systems (ADAS) and autonomous vehicles (CAVs).
- Simulation at airports and railway stations.
Integration:
Works in conjunction with other PTV products such as PTV Visum to create integrated transportation models.
Advantages:
Increases the accuracy of forecasts, reduces implementation costs, and allows for "digital testing" in a secure environment.

AutoTURN

AutoTURN is a leading computer—aided design (CAD) software designed for modeling and analyzing the trajectories of various vehicles. It is widely used by engineers, architects, and planners to verify whether vehicles can safely and efficiently navigate projected roads, intersections, parking lots, loading docks, and other facilities.

Main functions and features of AutoTURN

Motion trajectory Analysis (Sweep Path Analysis):
The program allows you to simulate the movement of a wide range of vehicles (from bicycles and passenger cars to buses, trucks and heavy industrial machinery) back and forth in order to determine the necessary maneuver space and identify potential conflicts with infrastructure elements.

Extensive vehicle libraries:
It includes huge libraries of standard and manufacturer-specific vehicle models that meet the regulatory requirements of different countries (USA, Canada, Australia, Europe, etc.). If necessary, users can create their own vehicle models.

3D Analysis:
Allows you to analyze vertical profiles and 3D terrain models to identify problems with ground clearance, height of overhead obstacles, and other three-dimensional objects.

Smart Tools (SmartPath):
They provide automatic creation of driving paths based on available space and set speed, which simplifies the design of complex maneuvers such as U-turns or passing roundabouts.

Conflict detection:
In real time, the program automatically highlights conflict zones (for example, hitting curbs, road signs, landscape elements), which allows you to quickly make adjustments to the project.
Reporting and visualization:

It allows you to create detailed simulation reports, record vehicle movement animations, and export data for further analysis and coordination of projects with stakeholders.

CAD compatibility:
AutoTURN is designed as an add-on (plug-in) for leading CAD platforms, including Autodesk® AutoCAD®, Autodesk® Civil 3D®, Bentley® MicroStation® and others. A web version of AutoTURN Online is also available, which does not require the installation of additional software.

Thus, AutoTURN is an important tool in the field of civil engineering and transportation design, which helps to ensure the safety and efficiency of road traffic.

GIS analytics

GIS analytics plays a key role in modern transportation planning, providing powerful tools for collecting, managing, analyzing, and visualizing spatial data related to transportation infrastructure.

The main directions and methods of GIS analytics:
Transportation planning and road construction. It helps to determine traffic congestion and decide whether to build new roads and interchanges or expand existing ones. For example, high car traffic in an area may indicate the need to improve transport infrastructure.
Choosing a location for starting a business. It helps you choose a place with a large number of passing cars and a stream of customers for a store, restaurant, gas station, etc.

Urban planning. It helps to design residential areas, taking into account traffic flows. Traffic shows where new sidewalks, intersections, bus stops, or metro stations need to be built.

Outdoor advertising. It helps you choose locations for billboards and place ads on streets with high car traffic.

Geospatial analysis. You can aggregate data or build availability zones. For example, you can find out how many cars pass through a certain polygon or accessibility zone, as well as calculate the amount of traffic in an area 1 km from a store or a 15-minute accessibility zone by car.

Cellular data

Cellular data plays a key role in modern geo-analytics for studying transportation by providing aggregated, anonymized information about population movements. This makes it possible to make more informed decisions in the field of planning and optimizing transport infrastructure.
Application of cellular data in transportation geoanalytics
Infrastructure planning: data on the movement of residents helps to understand real traffic flows and design new roads, public transport routes, or adjust existing ones.
Route optimization: Logistics companies and carriers use real-time traffic information to optimize their routes, reducing travel time and costs.

Analysis of pendulum migrations: the data make it possible to estimate the scale of daily (pendulum) labor migrations, which is important for organizing public transport during peak hours.
Congestion monitoring: Data analysis helps identify anomalies and changes in traffic caused by major social events or emergencies.

Smart Cities development: Cellular data-based geoanalytics is part of the concept of smart cities and intelligent transportation systems (ITS).

Advantages of cellular Data

Massive and continuous: Data is collected from millions of devices all the time, providing a complete and up-to-date view of population mobility.

Cost and time savings: Data collection by mobile operators is often faster and cheaper than conducting traditional transportation surveys or installing physical traffic detectors.

High degree of penetration: the ubiquity of mobile communications ensures wide coverage of the population, including in hard-to-reach areas.

Anonymized format: Only aggregated and anonymized data is used for analysis, which eliminates tracking of individuals and ensures confidentiality.
Thus, cellular data is a valuable source of information that is changing approaches to the study and planning of transport systems, making them more efficient and adaptive to the real needs of citizens.

Unmanned aerial vehicles (drones)

Unmanned aerial vehicles (drones) are a highly effective tool for calculating and monitoring traffic, offering an optimal alternative to traditional methods by providing comprehensive information about road conditions from the air in real time.
Drones are used in conjunction with special software for vehicle counting and traffic analysis, replacing or complementing traditional fixed camera systems.

Data collection: Unmanned aerial vehicles equipped with high-resolution cameras (4K and higher) and GPS take aerial photographs and videos of roads, intersections and parking lots in real time.
Programmatic Analysis: The collected data is processed using specialized software that uses deep learning and artificial intelligence algorithms to detect and count vehicles.

Real-time monitoring: Drones can provide real-time aerial video recordings, allowing for rapid incident detection, traffic density monitoring, and congestion management.

Mobility and coverage: Unlike fixed cameras, drones provide a wide range of coverage and can be quickly deployed to different locations and remote areas.

Precision: Combined with advanced artificial intelligence, drones provide highly accurate data-driven analysis of traffic conditions.

Proprietary software

Proprietary software for collecting traffic data uses computer vision and machine learning to automatically detect and track road users from drone video feeds. This technology replaces traditional methods such as manual counting, providing higher accuracy, real-time analytics, and increased security when collecting data.

Counting and tracking: The system counts objects as they enter predefined zones and tracks their movement patterns, including directions.

Efficiency and speed: Data can be processed automatically and significantly faster than manual methods, which allows you to instantly receive information for proactive traffic management.
Scalability and flexibility: Solutions can be scaled from monitoring a single intersection to monitoring the entire urban network and are quite flexible.