๐Ÿšฆ BENGALURU DESERVES A COMEBACKNo one is going to save Bengaluru. Only namma citizens can.

Let's Script
Namma Bengaluru's Comeback

เฒจเฒฎเณเฒฎ เฒฎเณเฒฏเฒพเฒชเณเฒธเณ. เฒจเฒฎเณเฒฎ เฒฐเฒธเณเฒคเณ†. เฒจเฒฎเณเฒฎ เฒญเฒตเฒฟเฒทเณเฒฏ.

Namma Maps. Namma Roads. Namma Future.

1.23 Cr

Vehicles

72%

Two-wheelers

2+ Hrs

Daily in Traffic

๐Ÿ“ They give ETA (Estimated Time of Arrival)

โฐ We give EST (Estimated Saving Time)

In Bengaluru, it's not just about when you arrive.
It's about how much time you save.

๐ŸšจCould we prioritize ambulances?
๐Ÿš—What if navigation knew your vehicle?
๐Ÿ“Could we map actual road widths?

Let's Talk About Our Challenges

เฒจเฒฎเณเฒฎ เฒธเฒตเฒพเฒฒเณเฒ—เฒณเณ

How do these issues affect your daily life? What unique problems does Namma Bengaluru face?

๐Ÿš—

The Numbers Challenge

1.23 crore vehicles for 1.5 crore people

Are flyovers really solving the problem, or just moving it? What if we understood road capacity better?

๐Ÿ˜”

How We Feel

Does traffic make you feel powerless?

We're losing hours daily in Namma city we love. How can we reclaim Namma Bengaluru's reputation for innovation?

๐Ÿ’ญ

Our Shared Vision

What future do we want for Namma Bengaluru?

Should Namma city be defined by its traffic? Can we work together to find solutions for Namma Bengaluru?

๐Ÿš‘

A Question of Life and Death

What if drivers knew an ambulance was coming before they heard the siren? Could advance warnings help clear paths and save lives?

Today vs. What Could Be

๐Ÿ”ด

Today's Maps

Show red lines everywhere

Same ETA for all vehicles

No understanding of road capacity

๐ŸŸข

What If We Had...

Maps showing actual capacity?

Different ETAs for bikes vs cars?

Routes based on real density?

Ideas to Explore Together

What if we built a navigation system designed specifically for Namma Bengaluru's unique needs? Here are some concepts worth discussing for Namma city.

Emergency Vehicle Alerts

Life-Saving Feature

Could we save lives by giving advance warning of approaching ambulances?

๐Ÿ’ก Could advance warnings help save lives?

๐Ÿšจ What if: Ambulance alert 300m away?

  • โœ“500m advance warning of approaching ambulance
  • โœ“Directional alerts showing ambulance route
  • โœ“Automatic path clearing suggestions
  • โœ“Integration with hospital dispatch systems

Imagine This in Namma Bengaluru: Silk Board โ†’ Electronic City

Google Maps Today

๐Ÿš— Car: 57 mins
๐Ÿ๏ธ Bike: 53 mins
๐ŸšŒ Bus: -

Mode-based ETAs from GPS speeds

Namma Maps (PCU-Based)

๐Ÿ๏ธ Activa48 mins
๐Ÿš— Swift55 mins
๐Ÿš™ Innova61 mins
๐ŸšŒ Bus68 mins

Density = ฮฃ(vehicles ร— PCU) รท road capacity

Vehicle-specific routing based on true road load

ETA vs EST (Estimated Saving Time)

We don't just tell you when you'll arrive. We help you save time getting there.

๐Ÿ“

GPS Speed Approach

How current maps work:

Average Speed = ฮฃ(GPS speeds) / n

ETA = Distance / Average Speed

ร—10 buses = 10 cars = 10 vehicles
ร—All Maruti Swifts get same ETA
ร—Ignores road width & encroachment
ร—Global optimization for all cities

Result: ETA only - when you'll arrive (if lucky)

๐Ÿšฆ

PCU Density Approach

How Namma Maps works:

Density = ฮฃ(vehicles ร— PCU) / capacity

ETA = f(density, vehicle_PCU, segments)

โœ“10 buses = 30 PCU, 10 bikes = 2.5 PCU
โœ“Yeti (1.0) โ‰  Swift (0.9) โ‰  Activa (0.25)
โœ“100m segments with actual capacity
โœ“Bengaluru-specific optimization

Result: EST - Save 20-40 mins with smarter routes

Real Example: Morning Rush at Silk Board

Scenario

  • โ€ข 200 cars (200 ร— 1.0 = 200 PCU)
  • โ€ข 500 bikes (500 ร— 0.25 = 125 PCU)
  • โ€ข 20 buses (20 ร— 3.0 = 60 PCU)
  • โ€ข 100 autos (100 ร— 0.5 = 50 PCU)

Total: 820 vehicles = 435 PCU

Road capacity at Silk Board: 500 PCU

Density: 87% (Heavy congestion)

Routing Impact

๐Ÿ๏ธ Activa (0.25 PCU)

Can still navigate at 87% density

Route: Through service road

๐Ÿš— Swift (0.9 PCU)

Limited navigation at 87% density

Route: Wait or alternative via BTM

๐ŸšŒ Bus (3.0 PCU)

Cannot navigate at 87% density

Route: Must take ORR bypass

Bengaluru-First Features

๐Ÿšจ

Ambulance Alerts

300m advance warning system

๐Ÿš‡

Metro Integration

Auto โ†’ Metro โ†’ Auto routing

๐Ÿ“

100m Grids

Actual road capacity mapping

๐Ÿš—

500+ Vehicles

Model-specific routing

๐Ÿ’ฐ

Fair Pricing

Zero commission model

๐Ÿ™๏ธ

Local Focus

Built for Bengaluru only

Not just another maps app. A density-aware navigation system for Namma Bengaluru.

INTERACTIVE SIMULATIONSSee the concept in action

Try Namma Maps Features

Interactive simulations demonstrating how PCU-based density navigation could save time and lives in Bengaluru

Why Google Maps Can't Do This

See how vehicle physics changes everything

Ready to Save Time?

These demos show just a glimpse of what's possible. With real-time data and citizen participation, Namma Maps can revolutionize Bengaluru's traffic.

Enhancing Existing Transit Apps

What if Namma Yatra/Transit had real-time density data and vehicle-specific routing? We propose adding intelligence layers to existing solutions.

Seamless Multi-Modal Journey

๐Ÿš•

Cab/Auto

7 min

โ‚น45-80

๐Ÿš‡

Metro

18 min

โ‚น35

๐Ÿš–

Auto/Cab

5 min

โ‚น30-60

30 min

Total Time

โ‚น110-175

Total Cost

โ‚น150+ saved vs full cab ride

Your Savings

Current Apps (Including Namma Yatra)

  • โ†’Good multi-modal integration exists
  • โœ—No vehicle-specific routing (bike vs car)
  • โœ—Missing real-time road density data
  • โœ—No ambulance alert system

With Enhanced Intelligence Layer

  • โœ“Builds on Namma Yatra's foundation
  • โœ“Adds vehicle-specific routing intelligence
  • โœ“Real-time density for better ETAs
  • โœ“Emergency vehicle priority alerts
๐Ÿ’ฐ

Fair Pricing

Lower commission, no surge. Save money using mass transit.

๐ŸŽฏ

One App

Cab, Auto, BMTC, Metro - all modes integrated.

๐Ÿ™๏ธ

Truly Local

Built for Namma Bengaluru, by Namma Bengaluru.

Complementing What Works, Adding What's Missing

Namma Yatra already does multi-modal well. What if we could enhance it with vehicle-specific intelligence, real-time road capacity data, and emergency alerts? Let's build on existing successes rather than reinvent the wheel.

The PCU Density Innovation

Beyond GPS speeds: We calculate true road density using PCU (Passenger Car Units)

๐Ÿ” The Key Difference

๐Ÿ“ Google Maps Today

  • โ€ขShows separate ETAs: Car, Bike, Transit
  • โ€ขBased on GPS probe speeds
  • โ€ขTreats all cars โ‰ˆ same, all bikes โ‰ˆ same
  • โ€ข10 buses = 10 cars = 10 vehicles

๐Ÿšฆ Namma Maps Difference

  • โœ“Vehicle model โ†’ PCU mapping
  • โœ“Density = ฮฃ(vehicles ร— PCU) รท capacity
  • โœ“Skoda Yeti (1.0) โ‰  Swift (0.9) โ‰  Bus (3.0)
  • โœ“10 buses = 30 PCU, 10 bikes = 2.5 PCU

๐Ÿ’ก Bottom Line: Google optimizes globally with GPS averages. We calculate true density per 100m segment for Bengaluru.

Vehicle-Specific PCU Values

๐Ÿš—

Skoda Yeti

Vehicle Type:car
Dimensions:4222ร—1793mm
Road Space Usage:Medium

Why Vehicle Type Matters

1 Bus =
๐ŸšŒ=
๐Ÿ๏ธ๐Ÿ๏ธ๐Ÿ๏ธ๐Ÿ๏ธ๐Ÿ๏ธ๐Ÿ๏ธ๐Ÿ๏ธ๐Ÿ๏ธ๐Ÿ๏ธ๐Ÿ๏ธ๐Ÿ๏ธ๐Ÿ๏ธ๐Ÿ๏ธ๐Ÿ๏ธ
1 Car =
๐Ÿš—=
๐Ÿ๏ธ๐Ÿ๏ธ๐Ÿ๏ธ๐Ÿ๏ธ
(1.0 PCU)
1 Auto =
๐Ÿ›บ=
๐Ÿ๏ธ๐Ÿ๏ธ
(0.5 PCU)

Why this matters: A bus takes more space than a bike. We route vehicles based on their actual size and road conditions.

Real Road Capacity Matters

silk Board

Paper Width:12m
Usable Width:8.5m
Encroachment:29%
Lanes:3

Road capacity lost

koramangala

Paper Width:10m
Usable Width:7m
Encroachment:30%
Lanes:2

Road capacity lost

electronic

Paper Width:14m
Usable Width:11m
Encroachment:21%
Lanes:4

Road capacity lost

The Core Concept

We consider vehicle dimensions, road width, and real-time density to provide accurate navigation. Unlike traditional maps, we understand that different vehicles need different routes.

๐ŸŸข

Low Density

Free-flowing traffic

๐ŸŸก

Medium Density

Moderate congestion

๐Ÿ”ด

High Density

Heavy traffic

Real-World Example: Silk Board to Electronic City

Google Maps

All Cars:

57 mins

All Bikes:

53 mins

Same ETA for all vehicles in each category

Namma Maps (PCU-Based)

๐Ÿ๏ธ Activa (0.25 PCU)48 mins
๐Ÿ›บ Auto (0.5 PCU)52 mins
๐Ÿš— Swift (0.9 PCU)55 mins
๐Ÿš™ Innova (1.2 PCU)61 mins
๐ŸšŒ Bus (3.0 PCU)68 mins

ETAs based on vehicle size, road capacity & density

Visualizing Traffic Density

How different vehicle combinations affect road capacity on a 100-meter grid

Concept visualization based on IRC standards - actual values to be calibrated with real GPS data

Medium Density - Moderate Traffic

๐Ÿ›ต
๐Ÿ›ต
๐Ÿ›ต
๐Ÿ›ต
๐Ÿ›ต
๐Ÿ›ต
๐Ÿš™
๐Ÿš™
๐Ÿš—
๐Ÿš—
๐Ÿ›บ
๐Ÿ›บ
0m
50m
100m
Road Capacity Used55%

Impact: Bikes still mobile, cars slow down

Vehicle Mix

๐Ÿ›ตActiva
6(50%)
๐Ÿš™Yeti
2(17%)
๐Ÿš—Creta
2(17%)
๐Ÿ›บAuto
2(17%)
Total Vehicles:12
Grid Length:100 meters

Key Insight

1 Bus (3.0 PCU) = 6 Bikes (0.5 PCU each). Understanding these ratios helps optimize road capacity and predict accurate ETAs.

How Different Vehicles Impact Traffic

Based on IRC (Indian Roads Congress) standard PCU values

VehiclePCU ValueSpace UsedManeuverabilityTypical Speed*Best For
๐Ÿ›ต Activa/2-Wheeler0.5MinimalHigh15-25 km/hShort trips, lane filtering
๐Ÿ›บ Auto Rickshaw0.8LowMedium12-20 km/hLast mile, narrow roads
๐Ÿš— Swift/Creta (Car)1.0MediumLow10-15 km/hComfort, highways
๐Ÿš™ Yeti/Innova (SUV)1.2HighVery Low8-12 km/hFamily, cargo
๐ŸšŒ Bus3.0Very HighMinimal5-10 km/hMass transit, fixed routes

*Speeds in heavy Bengaluru traffic conditions. Actual speeds may vary 5-12 km/h during peak congestion.

Namma Proposed Approach

How we plan to build accurate traffic prediction using real vehicle data

All Major Models

Vehicle Types

Key Corridors

Road Coverage

30% Better

Target Accuracy

100% Anonymous

Privacy

Core Components

๐Ÿš—

Vehicle Database

Real vehicle dimensions from manufacturers

๐Ÿ“

Road Mapping

Accurate road width and lane data

๐Ÿ“

Live Traffic

Real-time density without tracking individuals

Proposed Pilot: Silk Board โ†’ Electronic City Corridor

A Starting Point for Discussion

How might we approach building a navigation solution for Namma Bengaluru? Here's one idea for Namma city.

01

Could We Start Small?

Perhaps test with one high-traffic corridor first?

Where should we start?
02

Test and Learn

Would better predictions make a difference?

03

Grow With Community

Could we expand based on what works?

What's Your Vision?

Could we create a traffic system that truly understands Namma Bengaluru's unique challenges? One where two-wheelers, cars, and buses in Namma city each get their own optimized routes? Let's discuss.

Reclaim Namma Living Experience

Bengaluru isn't just an innovation hub - it's our home. Let's make daily commutes commutable again.

LIFE-SAVING
๐Ÿš‘

Save Lives

Every ambulance gets a clear path - every second counts

โฐ

Save Time (EST)

Not just ETA. Estimated Saving Time - get back 1 hour daily for family, work, or rest.

๐Ÿก

Better Living Experience

Transform daily commute from stress to predictable, manageable journeys

๐Ÿ’š

Love Namma City Again

Remember why we chose Bengaluru - for its quality of life, not traffic jams

What Happens If We Don't Act?

โœ—

Losing 600+ hours yearly stuck in traffic

โœ—

Best talent leaving for cities with better commutes

โœ—

Children spending more time in school vans than playgrounds

โœ—

A city that works in tech but fails at daily living

Join the Conversation

This is just an idea. What do you think? Could this approach work for Namma Bengaluru? Let's discuss how we can tackle Namma city's unique traffic challenges together.

Join the Comeback

Be part of Namma Bengaluru's transformation. Your voice shapes the solution.

๐Ÿ‘ฅ

For Namma Bengaluru Citizens

Your voice matters in this conversation

  • โœ“Save hours daily in traffic
  • โœ“Get accurate ETAs based on your vehicle
  • โœ“Receive advance ambulance alerts
  • โœ“Navigate using real road capacity
Be a Citizen Pilot
๐Ÿข

For Corporate Partners

Let's discuss how this could help your teams

  • โœ“Reduce employee commute stress
  • โœ“Better office location planning
  • โœ“Data-driven transport solutions
  • โœ“CSR opportunity for city development
Join as Partner
๐Ÿ›๏ธ

For Government Bodies

Could this approach support better urban planning?

  • โœ“Real-time traffic density data
  • โœ“Emergency vehicle prioritization
  • โœ“Infrastructure planning insights
  • โœ“Citizen-centric solution
Collaborate Now

Ready to Transform Bengaluru's Traffic?

This is a concept proposal. If you believe in this vision and want to help make it real, let's connect and build the future of urban navigation together.

๐Ÿ“ง nammamaps@gmail.com

"Together, we can script Bengaluru's comeback story"

เฒจเฒฎเณเฒฎ เฒฎเณเฒฏเฒพเฒชเณเฒธเณ. เฒจเฒฎเณเฒฎ เฒฐเฒธเณเฒคเณ†. เฒจเฒฎเณเฒฎ เฒญเฒตเฒฟเฒทเณเฒฏ.