Urban Mobility Intelligence Network

Document Class: Infrastructure White Paper

MPA-WP-UMIN-001 · Version 1.2

Status: Procurement-Ready Technical Edition

Patent Pending · Internal Reference: MPA-UMIN-001

Prepared: 2025

Sections: 21

Origin: Joliet, IL

Status: Proposed System

Urban Mobility Intelligence Network

The Road

Must Think

for Itself

Infrastructure designed to govern time-critical intersection
decisions locally — without dependence on cloud round-trip control.

External Baseline

38K+

Approximate annual U.S. traffic fatalities represented in the cited baseline

Design Target

<100ms

Maximum target safety-loop decision latency

Design Target

72hr

Target backup-powered autonomous operation

Architecture

3

Separated control timescales

A public technical and procurement framework covering system architecture,
safety engineering, sensor intelligence, hardware-governed authority,
privacy design, V2X integration, pilot deployment, cost modeling,
verification, certification strategy and competitive positioning.

Procurement-Ready Edition

System Status & Evidence Legend

UMIN is presented as a proposed engineering architecture. This document
deliberately distinguishes architectural definitions and design requirements
from modeled outcomes and field-verified performance. A metric should not be
interpreted as demonstrated UMIN performance unless explicitly identified as
field verified.

Architecture

A defined system design, component relationship, control boundary or
engineering requirement.

Target

A proposed performance objective or procurement acceptance requirement
requiring verification.

Modeled

A scenario, economic assumption or expected outcome used for planning,
not a measured field result.

Validation Required

A claim or performance characteristic requiring simulation, laboratory,
certification or controlled pilot verification.

Field Verified

Reserved for independently measured and documented real-world system
performance.

Table of Contents

01

The Problem

Roads Are Passive.
Deaths Are Not.

Transportation systems continue to produce a major and persistent
public-safety burden. UMIN begins from the premise that infrastructure
itself can participate more actively in risk detection, traffic coordination
and time-critical safety response.

Much existing traffic infrastructure remains centered on pre-programmed
signal timing, detector inputs and centralized traffic-management systems.
A conventional signal controller generally does not maintain the type of
multi-modal predictive environmental model envisioned by UMIN: whether a
pedestrian remains within a conflict zone, whether an approaching vehicle
is on a trajectory inconsistent with the current phase, whether visibility
has degraded, or whether an emergency vehicle requires corridor priority.

External Baseline

38,000+

Approximate annual U.S. road fatalities represented by the baseline
statistic used in this edition.

Source reference: NHTSA traffic-safety data cited in prior draft

External Baseline

$340B

Economic burden associated with traffic crashes represented in the
cited NHTSA crash-cost estimate.

Source reference: NHTSA crash-cost estimates

External Baseline

94%

Historical NHTSA critical-reason statistic frequently associated with
driver-related factors. It should not be interpreted as meaning that
infrastructure technology can prevent 94% of crashes.

Source reference: NHTSA Critical Reasons Study

External Baseline

1.35M

Global road-death scale represented by the WHO baseline used in the
prior version of this document.

Source reference: World Health Organization

UMIN treats these outcomes as an infrastructure-design problem as well as
a driver-behavior problem. The system is intended to determine whether
greater local perception, predictive state estimation and bounded
infrastructure-level intervention can measurably reduce risk while
preserving deterministic signal control.

02

The System

Infrastructure That Decides,
Not Merely Responds.

UMIN is a proposed distributed edge-computing infrastructure architecture
intended to transform intersections, corridors and related road nodes into
locally aware participants in traffic safety and mobility coordination.

The central architectural premise is that time-critical safety functions
should not require a remote cloud round trip. UMIN therefore places
perception, sensor fusion, bounded decision logic and the authoritative
signal-actuation interface at the intersection edge.

A proposed UMIN Smart Pole Unit may integrate multi-modal sensing,
edge-compute hardware, V2X communications, local signal-controller
interfaces and backup power. The reference design uses a
20-year structural-life objective with modular technology
replacement cycles intended to allow compute, sensor and communications
subsystems to be upgraded independently of the structural installation.

Architecture Status

Architecture: Defined system concept.
Validation required: final hardware BOM, environmental
qualification, structural life, maintenance interval, backup-power
duration and field performance.

03

Control Architecture

Three Loops.
One Purpose.

UMIN separates traffic intelligence across three control timescales so
that each layer receives only the authority appropriate to its function.

Loop Timescale Functions
Fast Loop <100ms Target Conflict Response
Pedestrian Timing
Emergency Priority
Local Execution

Proposed safety-critical processing occurs at the local edge node
without requiring cloud confirmation.

Medium Loop Seconds–Minutes Adaptive Timing
Corridor Coordination
Emergency Routing
Peer Coordination

Coordinates traffic state among nearby infrastructure nodes.

Slow Loop Hours–Days City Optimization
Infrastructure Health
Configuration
Analytics

Provides long-horizon analytics, planning and approved configuration
updates without a direct network-routable pathway to physical signal
actuation in the reference architecture.

The architecture is not intended as a simple hierarchy of software override.
It is an authority model. Local safety behavior remains separated from
higher-latency planning and optimization functions.

04

Governance by Hardware

Control Authority Defined by
Architecture.

The reference UMIN architecture is designed so that the authoritative
physical signal-actuation pathway originates locally at the edge rather
than through an Internet-routable cloud command interface.

Under the specified reference architecture, the signal-control interface
is connected to the local edge-control subsystem through a bounded
actuation pathway. External communications systems may exchange approved
data and configuration information, but are not provided a direct
network-routable path to the physical actuation interface.

Reference Authority

Local Edge Control Subsystem

  • Local authoritative signal-control pathway
  • Bounded interface to physical controller
  • Designed for deterministic execution
  • Target sub-100ms safety-loop latency

No Direct Actuation Path

External Systems in Reference Design

  • Public Internet systems
  • Cloud analytics layer
  • Third-party mobility platforms
  • Unauthenticated remote instructions

The fail-safe concept similarly separates normal AI-assisted operation from
fallback control. If the edge-computing subsystem fails to produce a valid
result within defined timing and confidence constraints, the reference
design calls for transition into a predetermined controller-safe mode.

Validation Requirement

The absence of unintended actuation pathways and the behavior of the
proposed fail-safe controller must be verified through physical wiring
inspection, interface testing, fault injection and independent safety
review before deployment.

“The intersection is not merely a passive device. It is a
control boundary — and safety-critical authority should
remain local, bounded and auditable.”

UMIN Design Principle

05

Sensor Intelligence

Multi-Modal Awareness.
One Environmental State.

UMIN uses multiple sensing modalities because no single sensing technology
performs optimally across every lighting, weather, occlusion and traffic
condition.

Sensor Primary Function Proposed Safety Application
mmWave Radar Position and velocity estimation Trajectory analysis, conflict prediction and approach-speed estimation
RGB Camera Object classification and scene context Lane occupancy, queue analysis and pedestrian-zone detection
Thermal Imaging Heat-signature detection under degraded visible-light conditions Supplemental pedestrian and animal detection at night or under reduced visibility
Weather Array Temperature, precipitation and environmental state Road-hazard estimation, advisory thresholds and context adjustment
Road / Structural Sensors Vibration and infrastructure-condition monitoring Condition awareness and infrastructure-health analysis

Sensor observations are intended to be time-aligned and fused into a
unified intersection-state representation. Sensor confidence should be
represented explicitly so degraded sensing does not silently become
overconfident control.

06

Safety Outcomes

Designed to Prevent.
Not Merely Record.

The UMIN safety objective is not retrospective surveillance. It is
infrastructure-level recognition of emerging conflict conditions early
enough to support bounded preventive action.

Collision Risk

Probable Red-Light Conflict

Trajectory and velocity analysis may identify an approaching vehicle
whose motion is inconsistent with safe stopping, allowing the local
controller to evaluate a defined conflict-mitigation response.

Pedestrian Safety

Crossing-Zone Awareness

Multi-modal sensing is intended to reduce pedestrian-detection blind
spots under low-light and degraded-visibility conditions and support
adaptive crossing-time decisions.

Emergency Response

Emergency Corridor Priority

Authorized emergency-priority data may trigger coordinated local
clearance behavior across participating intersections under a bounded
priority protocol.

Environmental

Hazard-State Awareness

Weather and road-condition data may inform infrastructure behavior and
transmit hazard advisories to compatible systems.

Rural Infrastructure

Wildlife Detection

Thermal and radar sensing may support wildlife-crossing detection and
context-aware warning behavior in suitable rural deployments.

Resilience

Backup-Powered Operation

72-Hour Target

The reference architecture targets sustained essential operation under
defined backup-power conditions. Actual duration requires load,
battery, environmental and field validation.

07

Vehicle Integration

Vehicles Become Participants,
Not Prerequisites.

UMIN is designed to integrate with vehicle-to-infrastructure communication
while retaining infrastructure-side value for vehicles that do not
participate in V2X.

Compatible vehicles may provide telemetry or authorized priority messages
to participating nodes. UMIN may in turn provide signal-phase information,
map context, hazard advisories and infrastructure-state data through
approved V2X interfaces.

The architecture is intended to accommodate C-V2X and other applicable
vehicle-infrastructure standards as procurement requirements evolve.
Final protocol support should be determined by jurisdiction, spectrum,
standards and deployment-generation requirements.

08

Privacy Architecture

Intelligence Without Identity by Default.

UMIN is designed around event, trajectory, environmental and
infrastructure-state information rather than personal identity as the
default unit of transportation intelligence.

Intended Routine Data

  • Anonymous vehicle-presence and trajectory events
  • Aggregate traffic-flow measurements
  • Environmental and road-condition data
  • Event codes and timestamps
  • Infrastructure and sensor-health telemetry

Excluded from Routine UMIN Operation

  • Facial-recognition identity matching
  • Routine driver-identity resolution
  • Long-term individual travel profiles
  • Behavioral dossiers linked to named individuals
  • Identity as a prerequisite for safety control

Identity-resolution functions are outside the normal UMIN operating
architecture. If a municipality separately operates lawfully authorized
investigative systems, those systems should remain technically and
administratively distinct from UMIN’s routine safety-control function.

Governance Principle

UMIN should collect the minimum information necessary to perform its
transportation function, apply explicit retention controls and maintain
auditable boundaries between mobility intelligence and any external
investigative system.

09

Deployment Path

Built to Scale
from One Intersection to a Region.

UMIN is designed for phased deployment so technical assumptions and
economic outcomes can be validated before broader capital commitment.

01

Phase One

Pilot Intersection

Instrument one intersection, establish baseline measurements,
validate sensor fusion, latency, controller integration and fail-safe
behavior.

02

Phase Two

Corridor Expansion

Connect multiple intersections and evaluate peer coordination,
emergency priority and corridor-level flow behavior.

03

Phase Three

District Grid

Expand to district-scale analytics, V2X integration, maintenance
telemetry and city-level optimization.

04

Phase Four

Regional Network

Evaluate regional interoperability, highway/urban integration and
cross-jurisdiction coordination.

10

City Intelligence Cloud

A City That Understands Traffic
Without Centralizing Safety Authority.

The City Intelligence Cloud is the proposed macro-analytics layer of UMIN,
receiving approved aggregate information from distributed nodes for
planning, prediction and infrastructure optimization.

Proposed functions include demand forecasting, risk heatmaps,
infrastructure-health analysis, corridor planning and approved
configuration management.

In the reference architecture, the cloud is not provided a direct
network-routable pathway to physical signal actuation. Approved
configuration data flows through a bounded interface to local systems,
where safety-critical authority remains at the edge.

11

Procurement KPIs

Quantified Outcomes.
Proposed for Validation.

The following values are proposed pilot objectives and procurement
evaluation metrics. They are not represented as existing field-verified
UMIN performance.

Metric Proposed Target Status
Total Intersection Collisions 25% reduction versus defined baseline Target
Severe-Injury Collisions 35–50% reduction at selected high-conflict sites Modeled Target
High-Probability Conflict Events 40–60% reduction Modeled Target
Emergency Corridor Travel Time 20–35% reduction Modeled Target
Emergency Priority Execution 95% successful execution under defined test conditions Target
Average Intersection Idle Time 15–30% reduction Modeled Target
Peak Corridor Throughput 10–25% improvement Modeled Target
Safety-Loop Decision Latency <100ms under defined hardware and workload conditions Hard Target
Normal-Grid Node Availability >99.5% Target
Defined Failover Activation <300ms where applicable Target

Important: Safety, mobility and emergency-response targets
must be validated against a formally defined baseline, adequate sample
period, statistically appropriate methodology and independently reviewable
pilot data before being represented as achieved outcomes.

12

Municipal Budget Language

Cost Framing Model.

Illustrative planning ranges for a proposed first-generation municipal
deployment. These are not vendor quotations or final procurement prices.

Component Illustrative Planning Range
Smart Pole / Retrofit Node Hardware + Installation $25,000–$60,000
Edge AI Compute Module $5,000–$12,000
Sensor Suite $8,000–$20,000
V2X Communication System $3,000–$10,000
Integration + Calibration $10,000–$25,000
Illustrative Total per Intersection $50,000–$125,000

10-Intersection Illustrative Low Case

$500K

10-Intersection Illustrative High Case

$1.25M

Illustrative Model

Final cost depends on site condition, existing controller compatibility,
civil/electrical work, communications, sensor selection, redundancy,
certification, labor, maintenance requirements and procurement scale.

13

Safety Engineering

Failure Mode and
Safety Degradation Architecture.

UMIN is designed around defined degradation behavior rather than assuming
uninterrupted operation of every sensor, processor or communications link.

Level Example Failure Reference Response
L1 AI / Model Function Unavailable Revert to approved deterministic traffic-control mode; predictive
functions disabled.
L2 Partial Sensor Degradation Reduce affected sensor confidence, operate on remaining validated
inputs and transition to conservative behavior where required.
L3 Edge Compute Failure Transition to defined controller fallback mode independent of normal
predictive operation.
L4 External Communications Loss Preserve local traffic-control function without requiring cloud
connectivity.
L5 Grid Power Loss Operate essential functions under backup power for the validated
duration of the deployed energy system.

Safety Objective

The engineering objective is that defined subsystem failures transition
into predictable, bounded control behavior rather than uncontrolled
signal states. This must be demonstrated through fault injection and
certification testing.

14

Procurement Language

Engineering-Oriented Terminology Reference.

Recommended language for communicating UMIN in infrastructure,
transportation-engineering and procurement contexts.

Avoid Simplified Phrase Preferred Engineering Description
AI-controlled intersections Edge-computed adaptive traffic-control infrastructure with bounded
safety authority
Real-time predictive system Infrastructure-based situational awareness and predictive hazard
assessment
Surveillance data processing Event-based traffic-state estimation with data-minimization controls
Autonomous decision-making system Locally governed traffic-control system operating within predefined
authority and fallback constraints
City-wide AI traffic network Distributed transportation infrastructure coordination network

15

Positioning

Procurement Positioning Statement.

Official Positioning

UMIN is a proposed distributed transportation infrastructure
intelligence architecture
designed to improve intersection
situational awareness, support safer traffic-control behavior, reduce
emergency-response friction and improve mobility coordination through
edge-computed, event-based intelligence. The reference design separates
safety-critical local control from higher-level analytical and
optimization systems, minimizes dependence on continuous cloud
connectivity for local safety functions, and treats personally
identifiable information as outside routine system operation.

16

Market Analysis

Competitive Landscape and
System Displacement Analysis.

UMIN is positioned primarily as a distributed edge-control and
infrastructure-intelligence architecture rather than only as a conventional
adaptive signal-timing product.

Comparative System Assessment

System Class Typical Objective General Constraint UMIN Proposed Difference
Central Adaptive Traffic Systems Network-level signal optimization Greater dependence on centralized coordination Local edge safety loop with separate higher-level coordination
Camera-Centric Smart Signals Visual traffic estimation Single-modality limitations under some visibility conditions Multi-modal radar, thermal, optical and environmental fusion
Cloud-Centric Traffic AI Centralized analytics and optimization External-network dependency for some functions Local execution of defined safety-critical control functions
Fixed-Time Controllers Predefined timing plans Limited dynamic situational awareness Sensor-informed local state estimation and bounded adaptation
V2X-Dependent Systems Cooperative vehicle/infrastructure behavior Value may depend on compatible vehicle participation Infrastructure sensing remains usable for unequipped vehicles

Retrofit Integration Model

Infrastructure Element Proposed Integration Objective
Existing Signal Controllers Standards-compatible or controller-specific interface Preserve usable installed infrastructure where feasible
Signal Heads and Poles Retrofit-compatible installation where engineering permits Reduce unnecessary asset replacement
Power Infrastructure Municipal supply plus optional backup system Support resilience requirements
Traffic Management Centers Approved traffic-data interfaces Integrate without transferring local safety authority
Emergency Systems Authenticated priority-message interface Support controlled emergency routing

Procurement Interpretation

UMIN is intended as an additional intelligence and control layer that can,
where technically appropriate, preserve useful existing physical
infrastructure while adding local sensing, computation, resilience and
coordination capability.

17

Architecture

Distributed Control Authority and
Remote Actuation Separation.

The UMIN reference architecture separates observation, coordination and
physical actuation so Internet-accessible systems do not automatically
inherit safety-critical control authority.

Control Pathway Model

L0

Physical Signal Layer

Electrical signal hardware and controller outputs responsible for
final physical state.

L1

Local Edge Control — Proposed Primary Authority

Sensor fusion, state estimation, deterministic safety constraints
and local actuation decision generation.

L2

Municipal Coordination Systems

Analytics, network coordination, approved configuration and
supervisory functions without direct public-network actuation.

L3

External / Cloud Systems

Analytics, reporting and approved information exchange. The reference
architecture does not expose a direct Internet-routable actuation path.

Reference Actuation Flow

Local Signal Actuation Path

[Sensor Inputs]

[Local Sensor Fusion]

[Bounded Safety / Control Logic]

[Local Signal Interface]

[Physical Signal State]

────────────────────────────────────
Reference external systems: no direct actuation interface
Architecture must be verified physically before deployment.

Access Model

Component Reference Exposure Authority
Physical Signal Interface Local bounded interface LOCAL
Edge Control Node Restricted infrastructure network CONTROL
Municipal Systems Authenticated network interface SUPERVISORY
External Cloud Systems Approved external interface ANALYTICAL

18

Certification Pathway

Verification, Validation and
Certification.

UMIN should not transition from architecture to public-road deployment
solely on the basis of simulation or software demonstration. Safety claims
must move through progressively stronger evidence.

Three-Method Verification Framework

Method 01

Physical Verification

  • Hardware-wiring inspection
  • Control-pathway isolation verification
  • Fail-safe controller and relay testing

Method 02

Operational Verification

  • Measured latency under defined loads
  • Sensor confidence and degradation behavior
  • Emergency-priority performance

Method 03

Simulation & Fault Testing

  • Digital-twin scenarios
  • Rare-event and high-density stress testing
  • Fault injection and recovery validation

Proposed Acceptance Thresholds

Category Proposed Acceptance Requirement
Safety Outcome Statistically appropriate improvement relative to approved baseline
Emergency Response Measured improvement under controlled corridor tests
System Availability Defined reliability threshold under normal conditions
Fail-Safe Behavior Deterministic transition under defined induced-fault conditions
Control Isolation Verified absence of unintended remote actuation pathways

Evidence States

A

Eligible for Broader Deployment Review

Defined safety, performance and governance thresholds demonstrated
under the applicable verification plan.

B

Extended Pilot Required

Partial evidence achieved; additional field data or engineering work
required.

C

Revision Required

Safety, authority-boundary, latency or fail-safe requirements not met.

19

Pilot Framework

Chicago Corridor Model —
Illustrative Pilot Deployment.

The locations below are illustrative candidate environments for pilot
planning only. They do not represent approval, commitment or selection by
the City of Chicago or any transportation agency.

Illustrative Candidate Geography

Candidate Urban Intersections

  • Stony Island Ave & 79th St
  • Western Ave & Madison St
  • Cicero Ave & Chicago Ave
  • Ashland Ave & 63rd St
  • Michigan Ave & Roosevelt Rd

Secondary Evaluation Set

  • Lake Shore Drive corridor example
  • State Street central-city example
  • Halsted Street corridor example
  • Irving Park / Pulaski area example
  • 95th Street expressway-interface example

Proposed Pilot Phases

0

2–4 Weeks

Site Survey

Controller audit, electrical review, baseline collection, intersection
digital twin and sensor-placement planning.

1

4–6 Weeks

Installation

Install instrumentation, calibrate sensors, integrate controller
interfaces and complete pre-operation safety verification.

2

8–12 Weeks

Controlled Operation

Collect live performance data, compare against baseline and execute
approved emergency and degradation tests.

3

4 Weeks

Evaluation

Independent review, statistical assessment, safety findings and
recommendation for continuation, revision or expansion.

Risk Management

Risk Proposed Mitigation
Hardware Failure Defined fallback architecture and fault monitoring
Sensor Degradation Multi-modal redundancy and confidence weighting
Deployment Disruption Staged installation and traffic-control planning
Controller Incompatibility Pre-installation interface audit
Unexpected Operational Behavior Shadow-mode testing, bounded authority and rollback procedures

20

Financial Model

Total Cost of Ownership, ROI and
Funding Alignment.

The following financial figures are illustrative scenario models intended
for planning and investor/procurement discussion. They are not demonstrated
UMIN savings.

Illustrative 10-Intersection Economic Scenario

Category Illustrative Annual Value Range
Collision-Related Economic Avoidance $2M–$8M
Emergency-Response Efficiency $0.5M–$2M
Traffic-Efficiency Value $1M–$5M
Liability / Insurance Scenario $1M–$6M

Illustrative Annual Value Range

$4.5M–$21M

Illustrative Payback Scenario

3–7 yrs

Illustrative Scenario

These figures require a documented methodology, baseline crash data,
traffic volumes, municipal cost assumptions, actuarial inputs and
independently reviewable field evidence before they can be treated as a
forecast or procurement savings claim.

Potential Federal Program Alignment

Program Agency Potential Alignment
Safe Streets and Roads for All USDOT Road-safety and vulnerable-road-user objectives
SMART Grants USDOT Technology-enabled transportation demonstration
Highway Safety Improvement Program FHWA Safety improvement at high-risk locations
Federal ITS / Connected Infrastructure Opportunities USDOT / FHWA Connected and intelligent transportation infrastructure
CMAQ FHWA / FTA Potential congestion and emissions-related alignment

Program inclusion does not imply eligibility or funding approval. Any grant
application must be evaluated against the current statutory, programmatic
and agency requirements in effect at the time of submission.

21

Engineering Visualization

System Architecture and
Control Boundary Definition.

The diagrams below communicate the intended logical authority structure.
Final engineering drawings should identify actual electrical interfaces,
communication buses, controller models, trust boundaries and failure
states.

Logical Layer Model

L0

Physical Signal Layer

Signal heads, controller outputs, electrical actuation and associated
physical infrastructure.

L1

Local Edge Control Layer

Sensor fusion, bounded decision logic, local safety functions and
proposed authoritative actuation command generation.

L2

Municipal Coordination Layer

Corridor analytics, infrastructure supervision, approved
configuration and planning functions.

L3

External Analytics Layer

Cloud analytics, reporting, historical analysis and approved data
exchange without direct actuation authority in the reference design.

Failure-State Model

Scenario Condition Reference Behavior
A Sensor Failure Reduce sensor confidence and transition to validated degraded-mode
behavior.
B Edge Processing Degradation Disable affected predictive functions and transition to approved
deterministic controller behavior.
C External Network Disconnection Continue local signal-control operation without requiring cloud
confirmation.
D Power Interruption Transition to the validated backup-power and controller fallback
state appropriate to the deployed system.

Emergency Priority Pathway

Proposed Emergency Priority Flow

[Authenticated Emergency Priority Input]

[Local Authorization / Validation]

[Intersection Clearance Logic]

[Peer Coordination Message]

[Bounded Local Signal Response]

Local safety constraints remain authoritative throughout the sequence.

Final System Boundary Statement

The defining reference-architecture constraint of UMIN is:

safety-critical signal actuation remains bound to a local,
authenticated and bounded control path rather than being exposed as a
general-purpose Internet-routable command interface.

The implementation of this boundary must be demonstrated by engineering
drawings, physical inspection, interface testing and fault validation.

Maven Prodigy Algorithmic Corporation

The Infrastructure of Safety
Is Long Overdue.

UMIN proposes a different relationship between transportation
infrastructure and the people moving through it: one in which local
infrastructure can perceive conditions, operate within explicit authority
boundaries, degrade predictably and participate actively in safety.
The next step is not to assume the architecture works. It is to build,
simulate, test, measure and prove it.

Contact

John W. Calhoun

Founder & Principal Inventor

Maven Prodigy Algorithmic Corporation · Joliet, IL

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