Rider Books the Metro Journey
The rider plans and books the Metro journey
in the existing Metro app.
9:41
From
Central Metro Station
To
Tech Park Metro Station
Recommended Route
BL
32 min
Blue Line
Direct
Central Metro 9:10 AM
Tech Park Metro 9:42 AM
Metro Ticket Booked!
Your journey is confirmed.
Travel Date
16 May, 2025
Boarding Time
9:10 AM
View Ticket
Home
Plan
Ticket
Passes
Profile
Metro journey planned!
The rider has a clear plan for the core journey.
Central Metro
Station
Station
Tech Park Metro
Station
Station
BL
32 min
9:10 AM
9:42 AM
Rider’s Journey Overview
Home
Start
Metro Station
Boarding
Metro Journey
32 min
Destination
Station
Station
Drop-off
Office
End
What Happens Outside the Metro?
Reaching the station and the final destination is
not connected, predictable or easy.
Before Metro Station
7:55 AMRider at Home
Needs to reach the metro
station on time for the
9:10 AM train.
station on time for the
9:10 AM train.
Options are fragmented
Walk
(~1.5 – 2 km)
Auto
(Availability?)
Ola / Uber
(Check & Book)
Local Share
Auto / Van
•••
Many
Other Apps
After Metro Journey
9:42 AMExit Destination Station
Needs to reach the
final destination.
Same problem again.
final destination.
Same problem again.
Options are fragmented
Walk
(~1 – 1.5 km)
Auto
(Availability?)
Ola / Uber
(Check & Book)
Local Share
Auto / Van
•••
Many
Other Apps
No single option is coordinated with the metro journey.
The Metro journey is planned.
The access journey is not.
Home
First Mile(To Station)
?
Metro Journey
9:10 AM – 9:42 AM
32 min
Last Mile(From Station)
?
Office
How does the rider reach the station?
Walk
Auto
Ola / Uber
Share Auto
/ Van
/ Van
•••
OthersHow does the rider reach the destination?
Walk
Auto
Ola / Uber
Share Auto
/ Van
/ Van
•••
Others Key Challenges
Multiple apps
& modes
& modes
Uncertain wait
times
times
No coordination
with metro timings
with metro timings
Extra time,
cost & stress
cost & stress
QPo Powers First & Last Mile in the Backend
The Metro app gets a shared-mobility dispatch layer.
QPo connects rider demand with the best available supply.
9:41
Metro Ticket Booked
Blue Line • Central Metro → Tech Park Metro
Complete Your Journey
Add first and last mile to make it seamless.
First Mile
Home → Central Metro Station
Last Mile
Tech Park Metro Station → Office
Find Connection
Find the best shared options
Your Metro Journey
Central Metro9:10 AM
32
Tech Park Metro9:42 AM
Home
Plan
Ticket
Passes
Profile
Rider sees a simple, unified experience inside the existing Metro app.
Rider Request(First / Last Mile)
Behind the App
QPo
AI Dispatch Engine
Demand Aggregation
Collects requests near stations
Dynamic Hotspot Creation
Finds the best pickup points
Rider Grouping
Combines riders heading the same way
Supply Matching
Finds the best vehicle & operator
Dispatch & Orchestration
Sends trip to the right supply
Tracking & Optimization
Monitors journey and learns
Insights back to Metro App / Authority
Utilization, demand, performance, KPIs
Utilization, demand, performance, KPIs
Trip Request(With Details)
Existing Supply Ecosystem
OlaOla driver network
Ola
Driver
UberUber driver network
Uber
Driver
RapidoAuto & bike network
Rapido
Auto
AutoLocal shared auto operators
Shared Auto
Operator
Van8–12 seater van operators
Feeder Van
Operator
FleetLocal fleet companies
Local Fleet
Partner
QPo is agnostic.
Works with multiple supply partners.
Works with multiple supply partners.
Seamless for
Riders
Riders
Efficient for
Authorities
Authorities
Optimized for
Operators
Operators
Sustainable for
Cities
Cities
Rider Request Becomes a Supply Request
Rider’s first/last mile need is sent to QPo, which finds and sends the best match
from the existing supply ecosystem.
Rider / Metro App
9:41
Metro Ticket Confirmed
Blue Line • Central Metro → Tech Park Metro
First Mile (To Station)
From
Home
Indira Nagar, Chennai
To
Central Metro Station
Blue Line
Metro Departure
Today, 16 May 2025
9:10 AM
We’ll help you reach the station before your metro.
Recommended pickup window: 8:25 – 8:40 AM
Recommended pickup window: 8:25 – 8:40 AM
Preferred Options
SharedFastest
Find Feeder
Home
Plan
Ticket
Passes
Profile
Rider requests first mile connection to reach the metro on time.
Request Sent(First Mile)
Pickup Area
Drop at Station
Departure Time
Rider Preference
Drop at Station
Departure Time
Rider Preference
QPo Backend
QPo
AI Dispatch Engine
Request Received
Looking for the best match…
Analyze Rider Demand
Time, location, direction
Check Live Traffic
Travel time to station
Find Nearby Vehicles
From multiple partner networks
Evaluate Best Options
ETA, cost, seats, deviation
Select & Send Trip Request
To the most suitable vehicle
QPo ensures efficient sharing, minimal deviation and on-time arrival to the station.
Trip Request(With Details)
Pickup Point
Drop Point
Time Window
No. of Riders
Preferences
Drop Point
Time Window
No. of Riders
Preferences
Partner Driver / Feeder App
Trip Request
Pick up near Indira Nagar
Drop at Central Metro Station
1 – 3 Riders • Shared • On-time
9:10 AM
Departure
Available Options
Shared Van
8 seater
ETA 6 min3 seats
availableAccept
Shared Auto
5 seater
ETA 4 min2 seats
availableAccept
Partner Cab
4 seater
ETA 7 min3 seats
availableAccept
Trip request is sent to nearby vehicles across partner networks.
More Matches
Across Networks
Across Networks
Less Wait Time
For Riders
For Riders
Better Utilization
For Operators
For Operators
Reliable On-time
Metro Connectivity
Metro Connectivity
Multiple Riders. One Shared Demand.
QPo groups riders heading to the same metro station within a similar time window
and direction — turning individual requests into a shared trip opportunity.
1. Rider Requests
First Mile (To Station)
Indira Nagar → Central Metro Station
Metro Departure: 9:10 AM
AWalk280 m
Rider A9:10 AM
Indira Nagar, 1st Main Rd
Central Metro Station
BWalk350 m
Rider B9:15 AM
Indira Nagar, 3rd Cross St
Central Metro Station
CWalk220 m
Rider C9:12 AM
Indira Nagar, 5th Cross St
Central Metro Station
Common Preferences
Shared
Budget Friendly
On-time Arrival
3 individual requests received near the same area and time.
2. QPo Backend – Rider Grouping
QPo
AI Dispatch Engine
Demand
Aggregation
Aggregation
Direction & Time
Compatibility
Compatibility
Rider
Grouping
Grouping
Shared Demand
Created
Created
3 riders → 1 shared trip
Same direction • Similar time window
Nearby origin points
Shared trip is feasible
On-time arrival possible
Better for rider & operator
QPo intelligently converts scattered demand into a single shared trip opportunity.
3. Grouped Trip Sent to Driver
Trip Assigned to Partner Driver
Shared Van (8 Seater)
Pickup Zone
Indira Nagar – Park Gate
ETA to Pickup: 4 min
Metro Departure
9:10 AM
Riders in this Trip
AConfirmed
Rider A
Pickup at Indira Nagar, 1st Main Rd
ETA to Pickup: 4 min
BConfirmed
Rider B
Pickup at Indira Nagar, 3rd Cross St
ETA to Pickup: 5 min
CConfirmed
Rider C
Pickup at Indira Nagar, 5th Cross St
ETA to Pickup: 6 min
3 / 8 Seats Booked
5 Seats Available
One grouped trip. Fewer detours. Higher vehicle utilization.
Why Grouping Matters
Lower cost
per rider
per rider
On-time arrival
at the station
at the station
Less congestion
& emissions
& emissions
Better utilization
for operators
for operators
More reliable first mile →
Higher metro usage
Higher metro usage
Dynamic Hotspot Is Generated
Instead of separate doorstep pickups, QPo creates one shared pickup point
that works better for riders, operators and the metro connection.
1. Scattered Rider Origins
Riders request from nearby locations
around the same time.
around the same time.
AWalk280 m
Rider A9:10 AM
Indira Nagar, 1st Main Rd
Central Metro Station
BWalk350 m
Rider B9:13 AM
Indira Nagar, 3rd Cross St
Central Metro Station
CWalk220 m
Rider C9:15 AM
Indira Nagar, 5th Cross St
Central Metro Station
Doorstep pickup creates
more stops, more delay, more deviation.
more stops, more delay, more deviation.
3 separate
stops
stops
Longer
pickup time
pickup time
Higher
detour
detour
2. QPo Backend – Dynamic Hotspot Creation
QPo
Dispatch Engine
Nearby
origins
+
origins
Similar time
window
+
window
Same
direction
+
direction
Walkable
distance
=
distance
1 shared
pickup point
created
pickup point
created
3 riders → 1 shared pickup zone
Closer to station, lower detour, easier sharing.
Reduced travel deviation
Optimized pickup location
Better for all stakeholders
3. Output to Partner Driver / Feeder App
Trip Assigned to Partner Driver
Shared Van (8 Seater)
Pickup Zone
Park Gate
Drop
Central Metro Station
Riders
3 Riders
ETA to Pickup
5 min
Metro Departure
9:10 AM
Average Walk for Riders
190 m
1 hotspot instead of
3 separate stops
1 common pickup point
3 separate stops
1 common pickup point
Riders in this Trip
3 / 8 Seats Booked
A
Rider A
Indira Nagar, 1st Main RdConfirmedB
Rider B
Indira Nagar, 3rd Cross StConfirmedC
Rider C
Indira Nagar, 5th Cross StConfirmedWhy Dynamic
Hotspots Matter
Hotspots Matter
Lower detour
for vehicles
for vehicles
Shorter
pickup time
pickup time
Manageable
walk for riders
walk for riders
Better seat
utilization
utilization
More reliable
metro connection
metro connection
AI Chooses the Best Hotspot
QPo uses live mobility and public-transport signals to decide where shared pickup should happen.
1. Input Signals
Live rider requests
Metro departure time
Historical station demand
Nearby vehicle locations
Seat availability
Walking tolerance
Traffic / travel time
Direction of travel
The engine continuously evaluates real-time demand and metro timing.
2. QPo AI Decision Engine
QPo
AI Dispatch Engine
| Evaluation Criteria | Candidate ARiverside Rd | Candidate BOak Avenue | Candidate CMarket Square | Best |
|---|---|---|---|---|
| Avg. rider walk distance | ★★★★★ | ★★★★★ | ★★★★★ | |
| Vehicle detour | ★★★★★ | ★★★★★ | ★★★★★ | |
| On-time metro connection | ★★★★★ | ★★★★★ | ★★★★★ | |
| Grouping feasibility | ★★★★★ | ★★★★★ | ★★★★★ | |
| Pickup safety / convenience | ★★★★★ | ★★★★★ | ★★★★★ |
Best hotspot selected: Park Gate
The engine chooses the point that best balances rider walking, vehicle efficiency, and timely metro access.
3. Selected Hotspot Output
Selected Hotspot
Park Gate
3 riders grouped
Avg. walk190 m
ETA to pickup5 min
Vehicle detour+1.4 min
Metro departure protected9:10 AM
Better for riders
Better for operators
Better for metro connectivity
Smarter pickup
placement
placement
Lower detour
Better grouping
More reliable
station arrival
station arrival
Stronger first-mile
efficiency
efficiency
Pre-Book + Hop-In. One Shared Feeder.
QPo combines pre-booked riders and hop-in riders at the dynamic hotspot,
filling seats efficiently without extra detours.
1. Pre-Booked Riders
Pre-Booked for 9:10 AM Metro
AVia Park GateWalk 180 m
Rider A9:10 AM
Indira Nagar, 1st Main Rd
Central Metro Station
BVia Park GateWalk 220 m
Rider B9:15 AM
Indira Nagar, 3rd Cross St
Central Metro Station
CVia Park GateWalk 160 m
Rider C9:12 AM
Indira Nagar, 5th Cross St
Central Metro Station
Pickup Instructions
Dynamic Hotspot
Park Gate
Reach by
9:00 AM
Feeder will arrive between 9:00 – 9:05 AM
3 riders pre-booked.
All heading to the same metro.
All heading to the same metro.
2. Hop-In Rider Joins
HOP-IN REQUEST
D
Rider D
Near 100 Feet Rd, Indira Nagar
Wants to go to Central Metro Station
8:58 AM
Request Time
Smart Check by QPo
Direction Match›
Time Window Match›
Pickup Point: Near Park Gate (250 m walk)›
Seats Available after pickup: 3›
Hop-in Approved
Minimal additional detour: +1.2 min
Minimal additional detour: +1.2 min
Nearby hop-in rider added.
No significant impact on route or time.
No significant impact on route or time.
3. Shared Feeder on the Way
Feeder Vehicle Assigned
Shared Van • 8 Seater
Current Occupancy
4 / 8 Seats
After Hop-in
4 → 5 / 8 Seats
Pre-Booked
3 Riders
Hop-in
1 Rider
Total
5 Riders
Driver / Feeder App View
Trip in Progress On-time
Park GatePickup Point
Central Metro StationDrop-off
Next Stop
Park Gate (Hotspot)
Riders in this Trip (5 / 8 Seats)
A
B
C
D
+1
3 seats left
One shared feeder.
Better utilization. Lower cost. Happier riders.
Better utilization. Lower cost. Happier riders.
The Result
Pre-booked + Hop-in combined intelligently.
More seats filled. Fewer vehicles needed. Better first & last mile.
More seats filled. Fewer vehicles needed. Better first & last mile.
Higher
Seat Utilization
Seat Utilization
Lower Cost
per Rider
per Rider
Fewer
Vehicles on Road
Vehicles on Road
On-time Metro
Connectivity
Connectivity
Lower Emissions
& Congestion
& Congestion
Complete the Multimodal Journey.QPo Makes It Seamless.
From home to office — planned, connected and efficient.
1Home
8:45 AM
Rider walks to
Dynamic Hotspot
Dynamic Hotspot
2Dynamic Hotspot
8:50 AM
Riders meet at
Park Gate Hotspot
Park Gate Hotspot
3Shared Feeder
8:50 – 9:04 AM
Shared Van (5/8)
On the way to
Central Metro Station
On the way to
Central Metro Station
4Metro
9:10 – 9:42 AM
Central Metro →
Tech Park Metro
Tech Park Metro
5Shared Feeder
9:45 – 9:58 AM
Shared Auto (3/7)
From Tech Park Metro
to Office Area
From Tech Park Metro
to Office Area
6Office
~10:00 AM
Arrive at Office
On time, every day.
On time, every day.
Total Door-to-Door Time~1 hr 15 min
2Shared Rides
1Metro Ride
1Dynamic Hotspot
6Riders Shared
Less DetourLower Cost
On-time ArrivalAt Metro
What Happens Behind the Scenes (Invisible to Rider)
Demand
Prediction
Prediction
Rider
Grouping
Grouping
Dynamic Hotspot
Creation
Creation
Supply
Selection
Selection
Vehicle
Positioning
Positioning
Dispatch &
Monitoring
Monitoring
QPo AI Dispatch Engine continuously learns and optimizes for better journeys.
Why It Matters
Wider Metro Catchment
More people can easily reach the Metro.
Potential Increase in Metro Usage
Better access supports higher ridership.
Efficient Mobility Ecosystem
Shared rides, less congestion & emissions.
Data for Better Decisions
Actionable insights for planning & operations.