Accident analysis
Study accident history and road network conditions. Identify sections for more detailed analysis.
Smart City · Road safety
See the risks.
Improve the environment.
Road infrastructure analytics to support accident reduction. We analyse accident history, assess risks and prepare recommendations for existing roads and new projects.
Analysis → Forecast → Recommendations
Supporting infrastructure decisionsSection · Period · Risk factors
Three levels of risk analysisFrom incident history
From incident history
to evidence-based changes.
A liveable city needs attention to safety. Data helps identify sections and factors that merit investigation.
Risk forecasting
Use AI models to assess accident risk for a defined road section and period.
Recommendations
Investigate less obvious infrastructure issues and propose ways to address them.
Road network contextBeyond a location.
Beyond a location.
The conditions around it.
Switch stages to see how road section data informs analysis, forecasts and recommendations.
Current situation analysisIllustrative capabilities
Conceptual city map
FoundationAccident history
ContextInfrastructure
OutputSections to study
Compare incident history with road characteristics, traffic and conditions.
Risk forecast by sectionIllustrative capabilities
Conceptual city map
WhereDefined road section
WhenSelected period
OutputRisk assessment
The model assesses risk for a section and period. Results can inform public transport route planning.
Infrastructure recommendationsIllustrative capabilities
Conceptual city map
What we studyLess obvious factors
What we developChange hypotheses
OutputA basis for action
Identify potential infrastructure issues. Proposals are developed and checked with relevant specialists.
Sources and factorsOne road situation.
One road situation.
Several layers of data.
Agree the area, period, source quality and information matching approach.
Accident history
Location, time and available incident details. Check completeness and comparability of history.
Infrastructure
Road geometry, traffic management and facility characteristics. Factors are defined for the study.
Traffic and congestion
Road loading and changing traffic conditions, based on available history.
Weather and conditions
Weather and time factors matched to road sections and analysis periods.
Where analysis appliesExisting networks.
Existing networks.
New projects.
Analytics helps prepare evidence for infrastructure decisions.
Investigate
high-risk sections.
Examine existing network sections, study risk factors and define further investigation priorities.
- Identify sections for analysis
- Investigate potential issues
- Infrastructure change scenarios
Consider risk
during design.
Apply analytical and recommendation methods when planning new infrastructure and road network changes.
- Area and road network context
- Assessment under agreed scenarios
- Information for relevant specialists
Relationships in data help form hypotheses. Engineering measures, their justification and impact assessment are agreed within the project.
Research outputsClear findings.
Clear findings.
A basis for action.
Prepare outputs in an agreed scope and format.
Road section analytics
Accident patterns, factor comparisons and sections requiring attention.
Risk assessment
Forecasts for defined sections and periods, with conditions and limitations described.
Recommendations
Infrastructure change hypotheses and priorities for further expert review.
How we workFrom source data
From source data
to project decisions.
We agree the goal, scope and success criteria.
-
01
Task and study area
Define road sections, study period and expected outputs.
-
02
Prepare sources
Match accident history, infrastructure and contextual data.
-
03
Analysis and modelling
Investigate factors, assess risk and test the approach against available history.
-
04
Recommendations
Present findings and agree a plan for further verification and application.
Related expertiseData supports
Data supports
city development.
Risk research can complement other urban analytics tasks.
Questions answeredDiscuss the essentials.
Discuss the essentials.
Before launch.
What area can we start with?+
A region, city or selected road sections. Scale, period and detail depend on the task and data quality.
How are forecasts used?+
To assess risk by section and period, compare scenarios and support decisions, including public transport route planning.
Can analysis support new road design?+
Analytical and recommendation methods can apply to new infrastructure. Sources, scenarios and specialist involvement are defined for the project.
How are results assessed?+
Criteria are agreed before research. Forecasts are tested against available history and recommendations receive domain review. The effects of changes require observation after implementation.
Start with your challengeWhich sections
Which sections
need attention?
Tell us about the area, available history and study goal. We will define the analytical scope.
- Road sections and study period
- Available sources and their quality
- Expected findings and output format
Solution scope, timelines and terms are agreed for your project.
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