Decentralised AIoT traffic intelligence · Indian Patent No. 589371 granted

Roads that think.
Speeds that adapt.
Congestion that clears itself.

A decentralised cyber-physical system that puts a real-time, privacy-preserving compliance speed in every vehicle — clearing congestion and preventing crashes at choke points before they happen.

DecentralisedPrivacy-FirstVehicle-Agnostic
The Problem

Indian roads are deadly and clogged — because traffic control is static and blind.

Signals run on fixed timers. Speed limits are painted on signs. Enforcement reacts after the crash. None of it adapts to what is actually happening on the road, second to second.

Gridlocked Indian arterial road — cars, two-wheelers, autos and a city bus packed bumper-to-bumper at a choke point
Choke point · every vehicle arrives at once

This jam isn’t random — it’s every vehicle reaching the same point at the same moment, with nothing telling them to arrive a few seconds apart.

0 L+

lives lost on Indian roads every single year

0 L cr

yearly congestion cost to just four metros

0%

of road deaths occur on highways — just 2% of roads

#0

Bengaluru ranks among the world’s most congested cities

Sources: NCRB road-fatality data · Indian metro congestion-cost studies · IIT Delhi highway-safety analysis · TomTom Traffic Index.

Why it persists

Reactive, centralised, and expensive to run

Fixed signal timing

Lights cycle on pre-set timers that ignore live density — green for an empty lane, red for a packed one.

Static speed limits

One painted number for every condition. Drivers have no way to time their approach to a junction.

Capex-heavy enforcement

Every junction needs cameras, signals, sensors and staff — capital-heavy, centralised, and still only reacting after the fact.

The result: cities keep pouring capital into roadside hardware that still can’t prevent the jam — only fine it after the fact.
The Solution

Every vehicle is told the right speed, right now.

Valenceware computes a personalised compliance speed for each connected vehicle so they never reach a choke point at the same moment — making every plying vehicle responsible for its own compliance.

Compliance-speed calculation

A per-vehicle recommended speed, derived live from density, trajectory, choke-point proximity, weather and the vehicles ahead.

Free-flow zone identification

The system detects where speed control isn’t needed and signals an open road — drivers only slow when it matters.

Violation detection

Live speed is checked against the compliance speed within a dynamic tolerance; only breaches are recorded — vehicle, not driver.

Inside the vehicle

The right speed, shown on the dashboard.

A low-cost in-cabin device turns every vehicle into its own enforcement node — displaying a live compliance speed and easing the approach to junctions before the jam forms.

Live · V2X
VValenceware
GPS
62km/h
Compliance speed
FREE-FLOW

Open road · drive your limit

0dynamic tolerance120
  • Compliance speed, on the glass

    The mounted unit shows the exact speed to hold right now — not a static painted limit.

  • Free-flow when it’s clear

    Open road is signalled instantly; the driver only eases off when a choke point is actually ahead.

  • Computed at the edge

    GPS + GSM + CPU on a lightweight Unix OS — the decision is made inside the cabin, in real time.

The network

A living mesh — vehicles, edge nodes and the cloud, talking in real time

Each vehicle broadcasts to nearby edge nodes and to the vehicles around it. Only outcomes — violations and scores — travel up to the cloud learning engine, which streams sharpened compliance speeds back across the whole network.

Vehicle ⇄ vehicle
V2V links form automatically between nearby vehicles.
Vehicle ⇄ edge node
Each vehicle reaches the nearest roadside node in range.
Node ⇄ cloud
Only violations and scores flow up; speeds flow back down.
How it works

An edge-first cyber-physical control loop

Movement data is processed on the device. Only outcomes — confirmed violations and driving scores — ever reach the cloud, where a learning engine sharpens the speed model and feeds it straight back.

01

In-vehicle IoT device

GPS, GSM, CPU & display on a lightweight Unix OS — captures location/speed, shows the compliance speed.

02

Edge processing

Raw movement data is computed locally and never uploaded — cutting latency, bandwidth and privacy risk.

03

Cloud learning engine

Receives only violations and scores; reinforcement learning tunes compliance speeds to live patterns.

04

Closed-loop feedback

Updated speeds stream back to each device; the model keeps learning across the whole network.

The architectural leap

Intelligence moves into the vehicle — not the roadside.

Traffic control today is centralised and capital-heavy. Valenceware flips it: the decision lives in a low-cost device inside each vehicle — turning every car into its own enforcement node.

Today — centralised & capital-heavy
  • Cameras, signals, gantries and control rooms at every junction
  • Capex scales with each new intersection
  • Staff-dependent and still only reactive
Valenceware — vehicle-anchored
  • One low-cost device per vehicle makes the decision at the edge
  • Each plying vehicle is responsible for its own compliance
  • Coverage scales with vehicles, not city budgets — and pre-empts the jam
Privacy by design

We track the vehicle — never the person.

Privacy isn’t a setting bolted on later; it’s the architecture. Personal movement never leaves the vehicle.

Edge-processed

Driving data is computed on the in-vehicle device — raw movement history is never uploaded or stored in the cloud.

Vehicle, not identity

Records attach to the vehicle, like a service log — not to where the owner went or when.

mParivahan-ready

Designed to map violations and scores to the national VAHAN / mParivahan registry without exposing trip data.

Road Excellence Score

A per-vehicle driving-quality metric — think of it as a credit score for road behaviour.

The only behavioural output that leaves the edge — violations and the score, nothing else.

Universal by design

One system, every vehicle on the road

Vehicle-agnostic from day one — and built to carry into the autonomous era.

Two-wheelers

India’s largest vehicle class

Cars & SUVs

private & commercial

Trucks & buses

heavy and public transport

Electric vehicles

EV-ready out of the box

Legacy vehicles

retrofit older, in-use vehicles

Autonomous (future)

V2X-ready for self-driving

Future-proof: as autonomous and connected vehicles arrive, the same compliance-speed signal feeds their control systems directly — no rip-and-replace.
Patented technology

The method is granted and protected.

Valenceware holds an Indian patent on the complete dynamic AIoT traffic-management system and its operating method — granted by the Patent Office, Government of India, establishing priority over the core mechanism.

Patent grantedPatent Office, Government of India
Indian Patent No.
589371

“System and Method for IoT-Based Real-Time Traffic Management” — granted to Valenceware Services Private Limited.

Patent No.
589371
Application No.
202311075610
Date of grant
14 May 2026
Term
20 years from 06 Nov 2023
Indian Patent Certificate No. 589371 — System and Method for IoT-Based Real-Time Traffic Management, granted to Valenceware Services Private Limited
View official certificate (PDF)

What the grant covers

  • 01

    Per-vehicle compliance speedlive, individualised target speed per connected vehicle.

  • 02

    Dynamic violation toleranceflexes with choke-point spacing, vehicle count & safety margin.

  • 03

    Free-flow zone detectionautomatic identification and display of unrestricted zones.

  • 04

    Edge-first, learning systemlocal processing with reinforcement learning over the network.

  • 05

    Vehicle-anchored recordsdecentralised, privacy-preserving compliance logging.

In active development

Roads that think — a technology we’re building now.

A decentralised, privacy-first compliance-speed system for Indian roads — designed, patented, and actively under development.

Edge-first

Decisions computed inside the vehicle, in real time.

Privacy by design

We track the vehicle, never the person.

Patented

Indian Patent No. 589371 — granted.

Vehicle-agnostic

Every vehicle class, V2X-ready for the autonomous era.

Want to know more about the technology?

Reach out to the Valenceware team.

© 2026 Valenceware Services Pvt. Ltd.

CIN U22219JK2022PTC013197 · Poonch, Jammu & Kashmir