Understand Risk Before Injuries

Evaluate Projects Clearly

Reduce Manual Work

Intersection blind spots Counts are not behavior Static snapshots miss behavior

Measuring the street,
not just the intersection.

Most street-safety measurement relies on intersection cameras, summary counts, and point-in-time snapshots. Cumulant reads continuous behavior across the full block.

Challenge 01 · Problem

Blind spots from intersection-focused camera placement

Intersection cameras cover the signal zone well, but the mid-block crosswalk further down the block sits entirely outside meaningful coverage. Activity there goes unmeasured.

Challenge 01 · Cumulant

Coverage extends beyond the intersection node

Cumulant measures the corridor itself, so the mid-block crossing becomes part of the same readable system rather than a gap between isolated camera views.

Challenge 02 · Problem

Counts are not behavior

A count can register a cyclist, a vehicle, and a pedestrian as three discrete events, while missing the fact that they are sharing the same constrained lane space at the same moment.

Challenge 02 · Cumulant

Behavioral context turns raw counts into street intelligence

Cumulant measures how people and vehicles occupy the street together, making proximity, interaction, and lane competition visible instead of flattening them into isolated tallies.

Challenge 03 · Problem

Static snapshots miss state behavior

A curb can appear clear or occupied in a single frame, but that frozen view misses the nuanced sequence where a passing vehicle, a blocked loading zone, and a pedestrian crossing create a near miss.

Challenge 03 · Cumulant

Street state changes become readable over time

Cumulant reveals evolving street state, showing how repeated loading behavior, passing maneuvers, and pedestrian movement combine into a risk pattern that snapshots cannot explain.

Cumulant turns street activity into measurable evidence.

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How It Works

Hardware Automatically Captures Traffic Data

Roadside sensors continuously capture real-world traffic activity, including vehicle movement, pedestrian activity, and multimodal interactions - either through Cumulant hardware or existing infrastructure feeds.

Physical Intelligence Interprets Multimodal Interactions

Cumulant’s AI models process raw sensor feeds in real time, identifying trajectories, conflicts, and safety-relevant behaviors while organizing the data in a centralized project dashboard.

Data Becomes Safety Intelligence

The platform transforms observations into clear analytics, visualizations, and reports that help cities identify risk, evaluate treatments, and understand safety performance over time.

Single Source of Truth for Smart City Mobility & Transport

We collect data directly from the street using infrastructure sensors - capturing real traffic behavior instead of relying on aggregated signals or statistical models.

01

Ground-Truth Measurements

Lane-level trajectories, speeds, and multimodal interactions are measured with high spatial and temporal precision, providing reliable inputs for modern safety studies.

02

Engineering-Grade Accuracy

Every insight is backed by observable events and sensor data, allowing planners and engineers to review, validate, and confidently defend their safety decisions.

03

Transparent and Verifiable

Project Support

Built for the safety questions cities are already trying to answer.

From network prioritization to treatment validation, we support common city safety and planning efforts with analysis tailored to real project needs.

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High-injury network prioritization

Identify where deeper intervention is warranted across corridors and intersections.

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School zone and vulnerable road user safety

Understand where walking and biking conditions create elevated risk.

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Corridor and intersection safety analysis

Examine how speeds, conflicts, and movements vary across real street conditions.

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Before-and-after project validation

Measure whether roadway changes are improving conditions after implementation.

Unified Platform for Roadway Safety Studies

Everything needed to conduct modern safety studies - from automated ground-truth data collection to AI-driven risk analysis and incident reporting. Cumulant replaces manual field studies and fragmented tools with a single platform that continuously measures and interprets real traffic behavior.

Before / After Evaluation for Traffic Treatments

Measure how street and signal changes affect safety, operations, and road user behavior before and after implementation.

  • Quantify changes in speed, delay, queueing, and multimodal volumes

  • Measure conflicts, near misses, TTC, and PET without waiting on crash data

  • Produce defensible treatment evaluations for crossings, signals, curb changes, lane reallocation, and speed-management projects

Transform your safety infrastructure and start your safety study today.

Tell us about your corridor, intersection, or safety program. We’ll help you understand how Cumulant can support automated data collection, AI-driven analysis, and ground-truth safety intelligence for your project.