SafeCurves
Identify high-risk horizontal curves and support more targeted, evidence-based road safety investment.

A proactive approach to managing road safety
SafeCurves is a data-driven road safety solution that helps state DOTs, county road agencies and road safety practitioners identify, prioritize and address high-risk horizontal curves across road networks.
Using a Safe System approach, SafeCurves helps agencies assess crash potential proactively and support more consistent road safety decision-making.
SafeCurves is designed for organizations responsible for improving road safety outcomes across road networks, including:
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state DOTs
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county road agencies
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road safety practitioners
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traffic engineers
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GIS and network safety analysts
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transportation teams responsible for rural and high-speed roads
It is particularly valuable for agencies seeking a practical and scalable way to support more consistent network safety planning and target road safety investment across rural and high-speed road environments.
How SafeCurves works
SafeCurves features three integrated modules that help agencies move from identifying risk to prioritizing action and planning effective interventions.
Identify high-risk curves using data-driven risk assessment across the network.
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Prioritize corridors for investment by highlighting where intervention is likely to deliver the greatest safety benefit.
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Design countermeasures based on Federal standards, including advisory speed and warning sign outputs.
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Systemically and proactively identify and address risks
SafeCurves helps agencies identify and address risk systematically so safety improvements can be planned with greater confidence, consistency and efficiency.
Proactively assess risk based on crash potential, not just crash history.
Direct investment to locations with the greatest potential for impact, ensuring efficient use of resources.
Deliver uniform, consistent treatments that comply with Federal standards.
Save time compared to traditional in-field inspections.
Access data instantly and seamlessly integrate it with your existing processes.
Learn how SafeCurves can help your organization
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SafeCurves combines data-driven analysis, practical delivery formats, and Evidence-Based outputs to support safer decision-making across road networks.
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Identify locations for improvement - Evaluate horizontal curves using risk factors such as speed context, geometry, terrain, and superelevation to highlight locations with elevated crash potential.
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Prioritize corridors for investment - Categorise corridors based on risk so agencies can focus resources where safety improvements are likely to have the greatest impact.
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Design targeted interventions - Support intervention planning with advisory speed and warning sign outputs aligned with federal standards and road environment context.
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TomTom centerline data - Use high-quality TomTom road centerline data as the foundation for network-wide assessment and analysis.
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GIS integration - Access and view SafeCurves outputs through your preferred GIS platform, the SafeCurves app, or geodatabase delivery.
Depending on the module and delivery format, SafeCurves can support agencies with:
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risk-classified horizontal curves
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prioritized corridors and locations for investment
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intervention planning insights
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advisory speed and warning sign outputs
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GIS-ready data layers
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GDB delivery for further analysis and integration
These outputs help agencies move from network assessment to practical planning with greater confidence and consistency.
The Safe System Approach to saving lives
The Safe System Approach is underpinned by five pillars, including that safety must be proactive. This means identifying and addressing risk before crashes occur.
Horizontal curves are one of the most challenging features on high-speed rural roads, and the risk they present is not always visible through crash history alone.
SafeCurves supports this proactive approach by helping agencies identify crash potential across an entire roadway system, reducing reliance on reactive decision-making and supporting more consistent road safety investment.

Did you know the U.S. has over 900,000 horizontal curves
that are out-of-context with the road environment?
In 2021, 42,939 people died on America’s roads. A large proportion of these deaths were associated with crashes on horizontal curves.
Horizontal curves are one of the most challenging features on high-speed rural roads. The average crash rate on horizontal curves is approximately three times higher than straight sections of road (FHWA, 2023).
Drivers can be surprised by curves that are inconsistent with what they are expecting, elevating the risk of roadway departures and head-on collisions. These types of curves are regarded as ‘out-of-context’ – the sharpness of the curve is out-of-context with the driver’s experience prior to reaching the curve.
Examples of out-of-context curves include:
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an isolated curve on an otherwise long and straight road;
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the first curve entering a series of curves; and
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an unexpectedly sharp curve among a sequence of larger-radii curves.
- What causes crashes?
- How might we mitigate crashes?
- How can we identify improvements?
What causes crashes on horizontal curves?
Research suggests that the primary causes of crashes on horizontal curves include:
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complex geometry;
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excessive speed;
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drivers’ unawareness or misjudgement of the approaching curve; and
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environmental conditions, such as visibility or weather.
How might we mitigate crashes on horizontal curves?
There are several low-cost countermeasures which can reduce the risk of drivers leaving the roadway on a curve. These include line markings, curve advisory speeds, warning signs and improving the skid resistance of the road surface. Widening the shoulder and installing roadside barrier also minimizes the severity of a crash, should a loss of control occur.
How can we identify horizontal curves for improvement?
Site analysis
Traditionally, identifying curves for safety improvements involved looking at crash data to find blackspots and trends. Many high-risk curves were only treated after a serious crash had occurred. This approach is reactive, as you need crashes to occur before you can address deficiencies. Chasing crash hotspots fails to address sites where serious crashes could occur in the future. This effect is magnified on low-volume rural roads where crashes are relatively rare and are dispersed across the road network.
Moving to a systemic approach
Rather than waiting for crashes to occur, the systemic approach proactively evaluates risk across an entire roadway system. It is focused on looking for characteristics which are frequently present in severe crash types – for example road geometry or traffic volume. By using a systemic approach, we can identify improvements based not only on crash history but also on crash potential.
Gain road safety insights with our FREE Diagnose Report
Uncover the scale of your road safety challenges for your jurisdiction with SafeCurves.
Or request a Diagnose report for your county or state here.
SafeCurves categorizes curves into Class 1, 2 or 3 depending on whether they are:
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unacceptable (Class 1)
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undesirable (Class 2)
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desirable (Class 3)
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uncategorized (Class 4)
The design limit is determined by the combination of the approach speed, and the curve radius. For example, a tight radii curve can be desirable if drivers approach it at a low speed, or unacceptable if drivers approach it at high speed.
The ‘undesirable’ and ‘unacceptable’ design limits are considered out-of-context, with ‘unacceptable’ being more out-of-context than ‘undesirable’.
SafeCurves: Identify has been applied to all high-speed ≥40mph roads in the USA covering approximately 213,000 miles of roads and identifying over 1,725,000 horizontal curves.
The outputs have been validated against data contained in the National Highway Traffic Safety Administration (NHSTA) Fatality Analysis Reporting System (FARS).
While only 2% of the network was classified as ‘unacceptable’ curves, this category of highway had the highest average number of fatal crashes. The fatal crash rate on ‘unacceptable’ curves is 1.4 times that of ‘desirable’ curves and 2.1 times that of straights. This suggests that ‘undesirable’ and ‘unacceptable’ curves are high-risk curves. The implication is that targeting interventions at high-risk curves will yield greater road safety benefits and provide a greater return on investment.
SafeCurves is provided via an access key so that you can either use the SafeCurves App on your desktop or mobile device and via your preferred GIS platform, or you can access the data as a GDB.
The data is supplied in perpetuity. At the conclusion of the Plan term there is an opportunity to renew, and the data is updated to the current methodology version.
Book a call
Book a call with Steve to discuss your organization's challenges and learn how SafeCurves can deliver effective solutions.
We are passionate about inspiring positive change.
Abley is a specialist New Zealand-owned transport planning, road safety and geospatial technology company. Founded in 2003, we work across the U.S., Canada, New Zealand, Australia and Indonesia, supporting government agencies at national and local levels as well as large organizations.


