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Sector

Drone for the future mobility system of Brisbane 2050

Team Members

Hsuan Lee, Henry Gomez Borowski, Dang Khoa Tran, Cooper Smith, John Yuan Sen Looi.

Brief

Design to enhance the mobility experience of general commuters experience in the future context of 2050 Brisbane QLD. (within 10km of CBD)

Address:

• A growing population

• Congestion caused by fluctuations in transport system

Outcome

An on demand AI supported drone system equipped with holographic projection capabilities to guide and facilitate efficient flow of human traffic.

The Context: Brisbane 2050

• Projected population growth in 2050 is 4.6 million

with increase in elderly population

• Traffic congestions caused by influx at peak hour

• Everything flows to the heart of CBD

• City with an emphasis on healthy lifestyle

The Issue

Congestion in the City caused by fluctuation in traffic flow.

As it stands currently, the transport system is inefficient and incohesive. It is unable to cope with planned and unplanned events creating a disconnect with citizens which will only worsen as the growing population adds more pressure on the transportation system.

Biggest Issues based on interviews and secondary research

Late public transport
Peak traffic times
Infrequent train services
Poor public infrastructure that induces bottlenecking
No flexibility
Not an “A to B solution”
Inaccurate information displayed

Approach

Systems Thinking

Using a systems-thinking approach to solve identified issues of the transportation system, the following design objectives were formed:

Fill gaps in real time transport systems data through data collection and sharing.
Create distribution points for users to tap into and leverage an advanced network to make informed trips.
Without solely relying on a personal device. Make access points and data distribution to be publicly accessible
Use of biometrics for personal tailored information delivery and advanced data gathering.
Ability to scale and upgrade system in the future.
Ensure a sustainable product and system.

Focus on Utilizing Existing Services

Train Lines
Bus Depot

System Architecture

Facilitating a future on-demand transport system

Collect personal data

when individuals interact with transport network

(plan trips, take public/private transport).

Implement collected data into the wider traffic system

Utilizing artificial intelligence the data is processed to

inform smart allocation of transport services to area demand.

Link Users to Existign System - Bus and Train.PNG

Create streamlined routes

collected data is used to link services of future feeder bus network and train system. This is used to efficiently connects users to major transport and work hubs by providing informed and streamlined routes.

Create drone access points

Utilizing existing bus depots as points of induction recharging power stations, drones connect users to major and minor transport hubs within 2-5km.

WHERE Drones are placed - Feeder Bus Scope.PNG

The Solution

Sector Drone

Facilitating an interconnected decentralized transport system, Sector Drone utilizes future developing technologies to collect traffic data and inform users of streamlined routes by holographic image projection.

Materials