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PILOT PROJECT:
TO DEMONSTRATE
IOT PLATFORM FOR
SMART NATION
CASE STUDY: SMART BUS SYSTEM
Minh-Son Dao, PhD
Deputy Director of Center for Innovative Engineering
UniveristiTeknologi Brunei
• To initiate smart nation pilot project by engaging all relevant
stakeholders
• To showcase what smart nation really means and the potential
benefit it can brings to Brunei Darussalam
• To identify the various strategic issues relating to Smart Nation (e.g.
importance of data, infrastructure, funding, security and privacy,
policy and regulatory frameworks, standards, industrial development
(for innovations), etc)
• To demonstrate and integrate the various IoT platforms (eg. 3G/4G
LTE, WiFi, LORA etc) in collaboration with different stakeholders
(Government, Ihls, TelCos and equipment vendors)
• Demonstrate and evaluate the outcome of the pilot project
OBJECTIVES
• To develop a low-cost, interactive, and efficient IoT system that can bring a
convenience to people of Brunei Darussalam (i.e. Smart Bus System –
focusing on BSB area)
• To contribute towards making a smarter bus transportation system and to
improve the user awareness about the status of the bus service
• Goal of the Smart Bus System:
o To enhance commuter experience
o To boost public bus ridership
o To provide commuter with real time bus information
o To enable commuter to plan their journey
o To improve and optimize bus operational efficiency
o Improve safety
o New data for innovation
• Study the advantages and drawbacks of the technology being deployed
• Demonstrate and evaluate the outcome of the pilot project – the outcome
maybe useful for LTD.
Pilot Project: To Demonstrate IoT Platform for Smart Nation (Smart Bus System)
Use Cases for Commuters
• Bus arrival timing and notification
• Tell commuters where the bus is on the map
• Bus trip planner
• Find the nearest bus stop
• Find bus services near you
• Find bus routes info based on bus number
• Bus routes – display real time of the bus stops and
distance
• Bus apps
Use Cases for Operators
• Real time tracking
• Improve safety
• Predictive maintenance – can be based on mileage or
OBD
• Improve productivity
• Reporting
• Use buses data to analyze road condition (e.g.
congestion)
Collaboration between the following:
• MOC and AITI: the driver and sponsor of this use
case pilot project as part of the smart nation
initiative.
• UTB: Co-ordinator and technical partner (develop
the apps, study the patterns and trends of the
outcome and suggest improvement for the project).
• Telco (TelBru and DST): Industrial Partner
(provide the connectivity)
• Equipment supplier (Huawei and Ericsson):
Support with the connected vehicle platform.
COLLABORATION STRATEGY
• Brunei now have different
wireless platforms (3G, 4G,
LoRa) from different
providers (Telbru, DST,
Progresif).
• The integration wireless
platforms can bring about a
national platform for further
IoT-based applications
development.
• Smart Bus System becomes
a pilot-testing to evaluate
such national platform.
INTEGRATED DIFFERENT WIRELESS IOT PLATFORMS
SMART BUS SYSTEM
PROPOSED SOLUTION
SOLUTIONS:
• Use low-cost wireless IoT
technologies for the real-time
estimation of the buses position
throughout the road network and to
communicate to the users when
buses approach the bus stop,
• Use smartphones (already diffused
among citizens) as well as low-cost
wireless GPS sensors, and
integrated different wireless IoT
platforms to acquire position
information and communicate with
users.
SMART BUS SYSTEM
PROPOSED SOLUTION
HOW IT WORKS:
• Sensors installed on buses continuously sends data to a cloud.
• GPS tracker/sensor installed on a bus approximately estimate the time
a bus needs to go from current position to the next bus stop.
• Gps tracker/sensor in a smartphone approximately calculates the time
passengers need to walk from their current position (e.G., House,
mall, school, office, and restaurant) to the desired bus stop.
• These data will be updated and displayed on the apps through an
interactive map,
• An app installed on a smartphone will connect to a cloud to evaluate the list
of available buses and estimate the arrival time of the selected bus at the
bus stop of interest.
• Bus operators can approximately know the number of passengers ride a
bus and where they want to stop a bus towards to optimize a bus system
including in bus routes, and bus stop locations.
8
OVERVIEW DIAGRAM OF THE SYSTEM
Bus
stop 2
Bus stop
departure A
Bus
stop
(n-1)
Bus stop
destination B
Bus
stop 1
Passenger Input:
• Bus number
• Destination
• Picked up location
Update the current location of
passenger, and destination location
Query database to find the nearest
bus stops A and B that satisfies
passenger’s request
GPS tracker
updates a bus
position to a cloud
FREQUENTLY
Generate a desired
bus route with a list of
suitable buses as well as
time to reach the nearest
bus stop A for each bus
DESTINATION
LOCATION
Current
location of
passenger
22 34
01
YOUR BUS PICKUP TIME TABLE
Walking time to bus stop A:
5 mins
Bus 34: time to arrive bus stop A:
6mins. You need depart now!
Bus 22: time to arrive bus stop A:
20 mins. You can depart after 15
mins.
Display result on
passenger’s
smartphone, refresh
after every minutes
GPS tracker
1
5
4
2
3
Wifi
LoRa
3G,
4G LTE
LBS
Systems and Infrastructure to support
smart nation
Source: Aeris
Interfaces
Workplan in Months
Potential Smart Nation Use Cases for
Brunei
Smart Energy Systems SmartTraffic Systems
SmartWater Metering Systems
Smart Farming Systems
Data Analytics: A spatio-temporal map (STM) for
visualizing activities of buses and passengers
Smart-Nation Platform
Bus
stop
DATA
INFO
A spatio-temporal map
Density of passengers who
require a bus
GPS
30
20
22/2
4
5
18 booked
3: N.22 →
Muara
12: N.22 →
Tungku
5: N.01 →
Gadong
7
10/
16
22 34
Bus
2/16
01
12
5/1
6
22
30 Bus-stop’
info
10/
16 Bus’s
info
Data Analytics: STM’s information
GPS
Passenger’s
information
Bus’s information Bus-stop’s information
• A bus route a
passenger wants to
take
• Bus Hop-on and
Hop-off status
• Passenger’s
trajectory (for a
day)
• Current location of
a passengers
• Direction (e.g., Muara-Bandar or
Bandar-Muara)
• Capacity (e.g., 24 seats, 36 seats
in total)
• Approximate number of
passengers on bus (e.g. 10/23
means approximate 10
passengers on bus whose capacity
can ride 23 passengers in total)
• Approximate number of
passengers will leave a bus in the
next bus-stop
• Current location of a bus
• How many
passengers are
waiting for buses at
the bus-stop and
near-by (within 5
mins walking):Total
passengers and sub-
set passengers for
each bus (bus’s
number and
direction)
NOTE: We use a term “passengers” for those who use our application.
Data Analytics: STM’s information
GPS
NOTE: We use a term “passengers” for those who use our application.
High-level
information
Description
Bus route activities • Which bus route is most busy (e.g., high recommendation
from passengers) according to time-line
• Which bus-stop is more crowd according to time-line
Interchange node • Which location has a high interchange request towards to
determine the best place to create interchange hubs (i.e., bus-
stop that people can change bus to make the route with the
shortest travelling time)
Bus activities • How good a bus obeys a time-schedule
Data Analytics: Route Recommendation
Time Route
14:20 Dep:Time Squares
[10 mins] | No. 34
14:30
14:50
Transit:Airport
[40 mins] | No. 38
15:30
15:35
Transit: Pekan Muara
[5mins] | No.33
15:40 Arrive: FerryTerminal
Time Route
14:30 Dep:Time Squares
[10mins] | No. 23
14:40
14:50
Transit:Airport
[40 mins] | No. 38
15:30
15:35
Transit: Pekan Muara
[5 mins] | No.33
15:40 Arrive: FerryTerminal
Query:
- Location: nearTime
squares
- Destination: Ferry
Terminal
- Expected depart time:
now (14:10)
DATA
OR
Smart-Nation Platform
DATA
BUS ROUTE 01: AROUND CITY CENTER
Traffic
light
Gadong
Pusat Belia
Terrace/Radisson Hotel
Jln Kebangsaan (Mabohai)
Immigration
PMO
Old
AirportMenglait
Jln
Gadong
The Mall
Gadong
Gadong Market
VOTECH
Masjid Jame’asr
Ripas Hospital
JlnTutong
(Mile 1 Sri
Complex)
Sumbiling
(Fire &
Rescue)
Royal
Regalia
Jln Kiangeh
BUS ROUTE 20: BUSINESS ROUTE
JlnTutong
(Mile 1 Sri
Complex)
Sumbiling
(Fire &
Rescue)
Royal
Regalia
Batu Bersurat
(Grand City)
The Mall
Gadong
Gadong Market
The Arch/Votech
Masjid Jame’asr
Kiulap
Pusar ulak/St. Andrews
BUS ROUTE 23: AIRPORT ROUTE
Jln Kiangeh
Pusat Belia
Terrace/Radisson Hotel
Jln Kumbang Pasang
PMO/ASH-SALIHEEN
Kebajikan Sports Complex
Airport Mall/Time Squares
Airport
Jln Berakas
Restoran Hayati
Berakas Camp
Lambak
Kiri
CCTV: PASSENGERS COUNTING
CCTV: PASSENGER ABNORMAL BEHAVIOR
DETECTION
Abnormal
Behaviour
THANK YOU
FOR YOUR KIND ATTENTION

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Smart bus system pilot project (BUSKET)

  • 1. PILOT PROJECT: TO DEMONSTRATE IOT PLATFORM FOR SMART NATION CASE STUDY: SMART BUS SYSTEM Minh-Son Dao, PhD Deputy Director of Center for Innovative Engineering UniveristiTeknologi Brunei
  • 2. • To initiate smart nation pilot project by engaging all relevant stakeholders • To showcase what smart nation really means and the potential benefit it can brings to Brunei Darussalam • To identify the various strategic issues relating to Smart Nation (e.g. importance of data, infrastructure, funding, security and privacy, policy and regulatory frameworks, standards, industrial development (for innovations), etc) • To demonstrate and integrate the various IoT platforms (eg. 3G/4G LTE, WiFi, LORA etc) in collaboration with different stakeholders (Government, Ihls, TelCos and equipment vendors) • Demonstrate and evaluate the outcome of the pilot project OBJECTIVES
  • 3. • To develop a low-cost, interactive, and efficient IoT system that can bring a convenience to people of Brunei Darussalam (i.e. Smart Bus System – focusing on BSB area) • To contribute towards making a smarter bus transportation system and to improve the user awareness about the status of the bus service • Goal of the Smart Bus System: o To enhance commuter experience o To boost public bus ridership o To provide commuter with real time bus information o To enable commuter to plan their journey o To improve and optimize bus operational efficiency o Improve safety o New data for innovation • Study the advantages and drawbacks of the technology being deployed • Demonstrate and evaluate the outcome of the pilot project – the outcome maybe useful for LTD. Pilot Project: To Demonstrate IoT Platform for Smart Nation (Smart Bus System)
  • 4. Use Cases for Commuters • Bus arrival timing and notification • Tell commuters where the bus is on the map • Bus trip planner • Find the nearest bus stop • Find bus services near you • Find bus routes info based on bus number • Bus routes – display real time of the bus stops and distance • Bus apps
  • 5. Use Cases for Operators • Real time tracking • Improve safety • Predictive maintenance – can be based on mileage or OBD • Improve productivity • Reporting • Use buses data to analyze road condition (e.g. congestion)
  • 6. Collaboration between the following: • MOC and AITI: the driver and sponsor of this use case pilot project as part of the smart nation initiative. • UTB: Co-ordinator and technical partner (develop the apps, study the patterns and trends of the outcome and suggest improvement for the project). • Telco (TelBru and DST): Industrial Partner (provide the connectivity) • Equipment supplier (Huawei and Ericsson): Support with the connected vehicle platform. COLLABORATION STRATEGY
  • 7. • Brunei now have different wireless platforms (3G, 4G, LoRa) from different providers (Telbru, DST, Progresif). • The integration wireless platforms can bring about a national platform for further IoT-based applications development. • Smart Bus System becomes a pilot-testing to evaluate such national platform. INTEGRATED DIFFERENT WIRELESS IOT PLATFORMS
  • 8. SMART BUS SYSTEM PROPOSED SOLUTION SOLUTIONS: • Use low-cost wireless IoT technologies for the real-time estimation of the buses position throughout the road network and to communicate to the users when buses approach the bus stop, • Use smartphones (already diffused among citizens) as well as low-cost wireless GPS sensors, and integrated different wireless IoT platforms to acquire position information and communicate with users.
  • 9. SMART BUS SYSTEM PROPOSED SOLUTION HOW IT WORKS: • Sensors installed on buses continuously sends data to a cloud. • GPS tracker/sensor installed on a bus approximately estimate the time a bus needs to go from current position to the next bus stop. • Gps tracker/sensor in a smartphone approximately calculates the time passengers need to walk from their current position (e.G., House, mall, school, office, and restaurant) to the desired bus stop. • These data will be updated and displayed on the apps through an interactive map, • An app installed on a smartphone will connect to a cloud to evaluate the list of available buses and estimate the arrival time of the selected bus at the bus stop of interest. • Bus operators can approximately know the number of passengers ride a bus and where they want to stop a bus towards to optimize a bus system including in bus routes, and bus stop locations.
  • 10. 8 OVERVIEW DIAGRAM OF THE SYSTEM Bus stop 2 Bus stop departure A Bus stop (n-1) Bus stop destination B Bus stop 1 Passenger Input: • Bus number • Destination • Picked up location Update the current location of passenger, and destination location Query database to find the nearest bus stops A and B that satisfies passenger’s request GPS tracker updates a bus position to a cloud FREQUENTLY Generate a desired bus route with a list of suitable buses as well as time to reach the nearest bus stop A for each bus DESTINATION LOCATION Current location of passenger 22 34 01 YOUR BUS PICKUP TIME TABLE Walking time to bus stop A: 5 mins Bus 34: time to arrive bus stop A: 6mins. You need depart now! Bus 22: time to arrive bus stop A: 20 mins. You can depart after 15 mins. Display result on passenger’s smartphone, refresh after every minutes GPS tracker 1 5 4 2 3 Wifi LoRa 3G, 4G LTE LBS
  • 11. Systems and Infrastructure to support smart nation Source: Aeris Interfaces
  • 13. Potential Smart Nation Use Cases for Brunei Smart Energy Systems SmartTraffic Systems SmartWater Metering Systems Smart Farming Systems
  • 14. Data Analytics: A spatio-temporal map (STM) for visualizing activities of buses and passengers Smart-Nation Platform Bus stop DATA INFO A spatio-temporal map Density of passengers who require a bus GPS 30 20 22/2 4 5 18 booked 3: N.22 → Muara 12: N.22 → Tungku 5: N.01 → Gadong 7 10/ 16 22 34 Bus 2/16 01 12 5/1 6 22 30 Bus-stop’ info 10/ 16 Bus’s info
  • 15. Data Analytics: STM’s information GPS Passenger’s information Bus’s information Bus-stop’s information • A bus route a passenger wants to take • Bus Hop-on and Hop-off status • Passenger’s trajectory (for a day) • Current location of a passengers • Direction (e.g., Muara-Bandar or Bandar-Muara) • Capacity (e.g., 24 seats, 36 seats in total) • Approximate number of passengers on bus (e.g. 10/23 means approximate 10 passengers on bus whose capacity can ride 23 passengers in total) • Approximate number of passengers will leave a bus in the next bus-stop • Current location of a bus • How many passengers are waiting for buses at the bus-stop and near-by (within 5 mins walking):Total passengers and sub- set passengers for each bus (bus’s number and direction) NOTE: We use a term “passengers” for those who use our application.
  • 16. Data Analytics: STM’s information GPS NOTE: We use a term “passengers” for those who use our application. High-level information Description Bus route activities • Which bus route is most busy (e.g., high recommendation from passengers) according to time-line • Which bus-stop is more crowd according to time-line Interchange node • Which location has a high interchange request towards to determine the best place to create interchange hubs (i.e., bus- stop that people can change bus to make the route with the shortest travelling time) Bus activities • How good a bus obeys a time-schedule
  • 17. Data Analytics: Route Recommendation Time Route 14:20 Dep:Time Squares [10 mins] | No. 34 14:30 14:50 Transit:Airport [40 mins] | No. 38 15:30 15:35 Transit: Pekan Muara [5mins] | No.33 15:40 Arrive: FerryTerminal Time Route 14:30 Dep:Time Squares [10mins] | No. 23 14:40 14:50 Transit:Airport [40 mins] | No. 38 15:30 15:35 Transit: Pekan Muara [5 mins] | No.33 15:40 Arrive: FerryTerminal Query: - Location: nearTime squares - Destination: Ferry Terminal - Expected depart time: now (14:10) DATA OR Smart-Nation Platform DATA
  • 18. BUS ROUTE 01: AROUND CITY CENTER Traffic light Gadong Pusat Belia Terrace/Radisson Hotel Jln Kebangsaan (Mabohai) Immigration PMO Old AirportMenglait Jln Gadong The Mall Gadong Gadong Market VOTECH Masjid Jame’asr Ripas Hospital JlnTutong (Mile 1 Sri Complex) Sumbiling (Fire & Rescue) Royal Regalia Jln Kiangeh
  • 19. BUS ROUTE 20: BUSINESS ROUTE JlnTutong (Mile 1 Sri Complex) Sumbiling (Fire & Rescue) Royal Regalia Batu Bersurat (Grand City) The Mall Gadong Gadong Market The Arch/Votech Masjid Jame’asr Kiulap Pusar ulak/St. Andrews
  • 20. BUS ROUTE 23: AIRPORT ROUTE Jln Kiangeh Pusat Belia Terrace/Radisson Hotel Jln Kumbang Pasang PMO/ASH-SALIHEEN Kebajikan Sports Complex Airport Mall/Time Squares Airport Jln Berakas Restoran Hayati Berakas Camp Lambak Kiri
  • 22. CCTV: PASSENGER ABNORMAL BEHAVIOR DETECTION Abnormal Behaviour
  • 23. THANK YOU FOR YOUR KIND ATTENTION

Editor's Notes

  1. To include the coverage