FUTURE OF MOBILITY
Transdisciplinary Innovation Project 2022

Autonomous Vehicles (AVs) have the potential to transform the mobility landscape for more accessible, equitable, safe and efficient commutes. With Singapore’s national agenda of Smart Nation, Singapore is considered a great testbed to roll out new mobility services with AVs. How can we then design for the future of mobility that is AV-ready, citizen-friendly, and environment-friendly?
Combining disciplinary strengths from Service Design, Technology Prototyping, and Behavioural Studies, students worked in multidisciplinary teams (Design, Computing & Psychology) to explore how to design the infrastructure, services, and people-vehicle interaction for AVs.

 

Tutors: Jung-Joo Lee (Design), Jiaying Chew (Design), Kate Sangwon Lee (Design), Yuen Jien Soo (Computing), Colin Tan (Computing), Li Neng Lee (Psychology)

Capital Tower 2025

The objective of this project is to enhance the experience at Capital Tower PUDO during the early adoption of AV vehicles. The proposed concept integrates multiple solutions to provide a safer, more efficient, and accessible journey for drivers, pedestrians, and vehicles alike. These solutions include hybrid traffic systems, productive waiting areas, and adaptive parking spaces that work together seamlessly.

 

Project by Mok Zijie (Design), Ong Jingheng, Travis (Design), Tham Jin Lin (Computing), Yang Jia Lin (Psychology)

Funan Mall 2025

The project aims to make Funan Mall’s PUDO ready in 2025, during an early adoption of AV phase with low frequency of AVs on the road & catered for transient tourists. The concept utilizes zoning & signaling to establish awareness & regulations for road users, while creating a novel experience with Chopebot, a roving robot that caters for human and AV needs.

 

Project by Chong Zi En (Design), Nicole Tan Mu En (Design), Shirshajit Sen Gupta (Computing), Ethan Leong Weiming (Psychology)

Raffles City 2040

This project aims to redesign the Raffles City PUDO for 2040, where AVs are fully integrated into our transport ecosystem. With berth segmentation and integrated technologies, our design proposes intuitive systems to optimise traffic flow and crowd management, ensuring a continuous flow of movement.

 

Project by Annabelle Chan Pei En (Design), Chew Shi Yun Karin (Design), Jai Lal Lulla (Computing), Wang Jae Chjen, Gareth (Psychology)