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Integrated road infrastructure planning

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Reliable data is essential to improving a city’s transport system. We use transport modelling to develop evidence-based proposals for building and upgrading roads, interchanges, bridges and overpasses.

How we substantiate infrastructure decisions

We model transport conditions digitally to identify problems before design and construction.

Traffic flow assessment

We analyse current and future traffic using mobile network data and geospatial analytics.

Traffic forecasts

We estimate how population growth and new development will affect traffic.

Capacity analysis

We identify bottlenecks and road sections in urgent need of upgrades.

Scenario modelling

We build digital twins of bridges, viaducts, tunnels and dedicated bus lanes to test different development scenarios.

Selecting the best scenario

We compare travel speeds, delays and traffic density to determine whether an infrastructure proposal is justified.

What can transport modelling offer cities and investors?

We turn plans into measurable outcomes and help clients protect their budgets and reputations.

Evidence for investment

[01]

Our analysis shows whether a costly tunnel is needed or whether adding a lane and retiming the signals would solve the problem.

Improved road safety

[02]

Modelling interchange geometry, ramps and pedestrian signal phases helps minimise traffic conflict points.

Less congestion

[03]

We identify potential bottlenecks at the master planning stage so they can be addressed before the infrastructure opens.

Infrastructure that meets future demand

[04]

Discuss the project

We design road networks with enough spare capacity to meet current needs and accommodate long-term growth in vehicle ownership.

We developed 42 targeted measures across 23 adjoining road sections, including new overpasses, roundabouts and tunnels.

Major road network upgrades

We modelled the corridor at a strategic level, using the city’s master plan and a population forecast of 2 million by 2030.

Up to 55% better traffic performance

Study area: The study covered 2,911 hectares.
Planned development: We assessed the impact of 2,146 planned developments, including 557 apartment complexes.
Data analysis: Inbound traffic exceeded 24,000 vehicles. We assessed flows using mobile network data at 610 locations.

Scope of the study:

We modelled several corridor scenarios, from changes to the number of lanes to dedicated bus lanes and multilevel viaducts. We also tested different ways to cross the restricted route, including overpasses and tunnels.

Work completed:

Crossings of restricted routes

We compared three options for crossing the restricted government route: an overpass, an overpass with a roundabout, and a tunnel. The aim was to provide uninterrupted through traffic while maintaining safety.

Case study: Transport research for Hussein bin Talal Street

We help new residential complexes get effective transport services and match routes to actual demand.

21% improvement in traffic performance

We studied how to integrate a new arterial road into the existing network and forecast traffic through 2030.

The study supported building a new interchange at the Humpback Bridge junction (Bogenbay Batyr Avenue) and an overpass near the cemetery.

Interchanges and overpasses

Area: 815 hectares in the city centre.
Coverage: 5.2 km of roads and 21 junctions.
Data: We analysed mobile network data covering a third of the city’s population to forecast through traffic and commuting flows.

Scope of the study:

We modelled several road network scenarios using long-term forecasts of vehicle ownership. The digital twin compared arterial roads with different capacities and tested major infrastructure options, including overpasses.

Work completed:

Targeted junction improvements

We proposed measures to relieve congestion: new right-turn ramps, dedicated bus lanes and revised traffic signal timings.

Case study: Transport analysis for Asan Kaigy Street

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office@utd.kz
+7 701 667 85 39

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