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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
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Late public transport
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Peak traffic times
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Infrequent train services
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Poor public infrastructure that induces bottlenecking
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No flexibility
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Not an “A to B solution”
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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:
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Fill gaps in real time transport systems data through data collection and sharing.
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Create distribution points for users to tap into and leverage an advanced network to make informed trips.
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Without solely relying on a personal device. Make access points and data distribution to be publicly accessible
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Use of biometrics for personal tailored information delivery and advanced data gathering.
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Ability to scale and upgrade system in the future.
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Ensure a sustainable product and system.
Focus on Utilizing Existing Services
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Train Lines
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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).
1.
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.
2.
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.
3.
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.
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
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Aerogel insulation and polyurea protective coating to withstand extreme temperatures and shock.
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Aluminum composite shell
Sequence of Use
Iteration Sketches
Envisioned System
Drone Sketch iteration