BUSKET is a wireless system aimed at supporting the quality of bus transportation service in Brunei Darussalam. BUSKET exploits low-cost wireless technologies for the real-time estimation of the buses position throughout the road network and to communicate to the users when one bus approaches the bus stop. The goal of BUSKET is to make smarter the bus transportation system and to improve the user awareness about the status of the bus service. From the user perspective, BUSKET will reduce the waiting time of citizens at the bus stops, while from the bus management viewpoint will enable a more centralized and pervasive control of the whole transportation network. BUSKET will use commercial smartphones (already diffused among citizens) as well as low-cost wireless GPS sensors to enable the acquisition of position information and to communicate with the users.
BUSKET is the joint-research between UTB, ELEDIA, and AITI
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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
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