SS4A The FY2026 Safe Streets for All NOFO is open — application deadline May 26, 2026. WalkPhase fits every stage of your SS4A application. See how we fit →

Streets aren't unsafe
by accident.
They're mistimed.

Traffic signals assume everyone walks at 1.2 m/s. Many don't.
WalkPhase measures the gap — and shows how to fix it.

WalkPhase — Live signal countdown at Broadway & 42nd St WalkPhase — Discover map with Manhattan intersections WalkPhase — Intersection safety analysis and clearance WalkPhase — Crash history, crossing activity heatmap WalkPhase — Crossing detail with path and speed data WalkPhase — Safety report for road authority

Designed for 1.2 m/s.
But many people don't walk that fast.

1.2 m/s
Assumed walking speed
18s
Crosses safely
0.7 m/s
Real-world walking speed
18s
Still crossing at zero

Signal timing standards assume a uniform walking speed of 1.2 m/s. But older adults, people with disabilities, parents with children, and many others walk slower. The result: they're still in the road when the signal changes. WalkPhase quantifies this gap at every intersection.

A new layer of infrastructure —
without infrastructure.

WalkPhase turns a smartphone into a pedestrian signal intelligence device.

Using on-device intelligence, it detects crossings, learns signal timing patterns, and identifies where real-world conditions don't match design assumptions.

No hardware.
No integration required.
Deployable anywhere.
Countdown
14s remaining
🚶
Walking speed
0.72 m/s
📍
Status
Crossing detected

WalkPhase reads your rhythm.
You just walk.

Wait WalkPhase starts the clock.
Cross WalkPhase measures.
Arrived WalkPhase scores.

Built for the street.
Tested on it.

WalkPhase running on iPhone at a signalised pedestrian crossing in Ballincollig, Cork — countdown of 7 seconds matches the live walk phase
iPhone — countdown synced to the live signal phase.
WalkPhase running on Apple Watch at the same Cork crossing — flashing-phase countdown matches the signal head behind
Apple Watch — the same measurement, glanceable on your wrist.

See it in action

What WalkPhase measures

Real walking speed

Measures actual pedestrian speed at each crossing — not assumptions from a manual.

Signal timing cycles

Learns how each intersection's signals actually operate over time.

Learned timing model

Crossing detection

Detects when a pedestrian arrives, starts crossing, and completes a crossing.

On-device intelligence

Unsafe crossing identification

Flags intersections where available walk time is insufficient for real-world users.

Extension quantification

Calculates exactly how many additional seconds each crossing needs.

Works anywhere

No roadside hardware. No signal controller access. Just a smartphone.

From assumptions
to evidence.

WalkPhase provides the missing layer in pedestrian safety analysis.

34%
of crossings found unsafe
+8.2s
average extension needed
0.68 m/s
average observed speed (vs 1.0 assumed)
100%
on-device processing

Illustrative figures based on early pilot data and published research on pedestrian walking speeds.

The data WalkPhase collects

Every crossing generates a rich dataset that goes far beyond crash counts — giving cities proactive, evidence-based insight into pedestrian safety.

At-Kerb Wait Times

How long pedestrians wait at each intersection before crossing. Long waits drive non-compliance and unsafe crossings.

🚶

Crossing Times

Actual time taken to cross, measured per-crossing. Reveals whether the walk phase is sufficient for real pedestrians.

📌

Crossing Paths

GPS-traced routes across the intersection. See where pedestrians actually walk — not where signals assume they do.

🔴

Observed Signal Timing

Walk phase durations recorded in the field. Compare observed timing against MUTCD standards and crossing distances.

Walking Speed

Real walking speeds from real people. Identify intersections where the assumed 1.2 m/s design speed leaves pedestrians stranded mid-crossing.

📊

Signal Compliance

Track whether pedestrians cross with or against the signal. Compliance data reveals where signal timing is failing the people it's meant to protect.

Research insight

Pedestrian signal compliance decreases significantly when wait times exceed 30–40 seconds, with pedestrians often initiating crossings against the signal to reduce delay. Crossing time compliance is largely influenced by walking speed (designed around 1.15–1.2 m/s), road width, and the presence of countdown timers. WalkPhase measures all of these variables at every crossing.

Built on real-world data.
Powered by intelligence.

WalkPhase uses on-device intelligence to understand how people move through intersections — and how signals actually behave.

01

Crossing Detection

Automatically detects when a pedestrian arrives, starts crossing, and completes a crossing — using motion and location data on-device.

Crossing detected
02

Signal Timing Learning

Learns how each intersection operates over time — without infrastructure access or signal controller integration.

Cycle: 72s
03

Risk Identification

Identifies crossings where available walk time is insufficient for real-world users — especially older adults and people with mobility limitations.

+7.2s needed
04

Prioritisation Insights

Helps cities identify which intersections require intervention first — ranked by risk, equity impact, and feasibility.

0.68 m/s avg

How a pilot works

A small team generates statistically meaningful data in 30 days — no infrastructure, no integration, no delays.

01

Select intersections

Choose 1–10 priority intersections based on crash data, equity concerns, or Action Plan priorities.

02

Deploy participants

10–20 participants carry smartphones with WalkPhase during their normal daily routines — or as dedicated data collectors.

03

Collect crossing data

Over 30 days, each participant generates multiple crossings per intersection. With 15 participants across 5 intersections, a typical pilot produces 750+ recorded crossings.

04

Analyse and report

WalkPhase delivers intersection-level safety analysis: real walking speeds, timing gap identification, risk scoring, and prioritised intervention recommendations.

10–20
participants
30
days
750+
recorded crossings
1–10
intersections analysed

In 30 days, you get:

📊

Intersection-level safety insights

Equity metrics for vulnerable users

📋

A clear, data-driven case for intervention

How WalkPhase fits into
your SS4A grant.

Select your situation to see the simplest path forward.

Plan
Demonstrate
Implement
Implementation Grant

Apply for an Implementation Grant

  • WalkPhase acts as an Operational / Technology Strategy within your implementation plan
  • Provides intersection-level data to support and prioritise implementation activities
  • Strengthens your application with measurable, equity-focused outcomes
Implementation-ready capability

WalkPhase can integrate with adaptive traffic signal controllers — receiving real-time signal timing on personal devices and requesting extended crossing time for vulnerable road users who need it most.

Best path for larger funding and faster deployment

Planning & Demonstration Grant

Apply for a Planning & Demonstration Grant

  • WalkPhase runs as a demonstration activity alongside your planning process
  • Generates real-world pedestrian data while your Action Plan is being developed
  • Directly informs your Safety Action Plan with evidence from the field

Combines planning + real data collection

Planning & Demonstration Grant

Start with a Planning & Demonstration Grant

  • Use WalkPhase to generate baseline safety data at priority intersections
  • Identify high-risk crossings for older adults, people with disabilities, and other vulnerable users
  • Build a data-driven Action Plan grounded in real-world evidence

Fastest way to build a strong, evidence-based application

Built for SS4A.

Data-driven pedestrian safety analysis
Patented on-device AI — no cloud dependency
Protects the most vulnerable road users
No infrastructure — works anywhere with a smartphone
Integrated with NHTSA FARS crash data
Ready to deploy in 4–8 weeks
Grant-ready dashboards and federal reporting
Measurable outcomes for SS4A deliverables

Structured for
real-world deployment.

Designed to fit within SS4A implementation grants — or run as a direct pilot.

Typical pilot engagements range from $75k to $125k depending on scope.

Direct Pilot

Run independently of grant timelines. Ideal for faster deployment, early validation, or agencies with existing budgets.

  • 1–10 intersections
  • 4–8 week deployment
  • Full data and analysis
  • Flexible timeline
Get in touch

Pilot scope and pricing are tailored to each partner.

About WalkPhase

WalkPhase is a small, focused team applying patented technology to make pedestrian crossings safer. We believe every person — regardless of age or ability — deserves enough time to cross the street safely.

Our founding team has spent over 20 years designing and deploying innovative technology with U.S. transportation agencies. Two U.S. patents granted. Pilot-stage. Agency partnerships forming.

Let's make crossings safer — together.

Whether you're preparing an SS4A application or exploring a direct pilot, we'd love to hear from you.

Or email us directly at team@walkphase.com