A Research Platform for Singapore

Towards the Ultimate Public Transport System

Phase 2 (April 2016 - March 2021)

The Story in Brief

TUMCREATE Phase 2 will close the existing transport gap between Mass Rapid Transport (MRT) and Bus. Our research will generate concepts for this new transport domain that increase comfort and efficiency for commuters. In this intention, we are developing strategies for optimising public mobility with emphasis on electrification and autonomy. Passengers as well as operators will benefit when public transport becomes the preferred mode of commuting in Singapore.
 

A Brief Account of our Collaborative Effort


 


The area Rapid Road Transport (RRT) will investigate how the capacity gap between the bus and the MRT system can be closed by the introduction of a new Semi Rapid Transport layer (SRT). The objectives of the RRT research are: identifying suitable SRT corridors in the Singapore transport system and the development of new technology-based transport concepts which can be utilized in the SRT layer. The long term objective is to show how these concepts can be integrated into the transport system of Singapore and how the transport system will be improved by implementing these concepts. With this goal in mind, RRT takes a strong role in directing the project's six areas jointly towards the common product "SRT".

In AIDA (Area-Interlinking Design Analysis) , transport models are investigated in detail using modelling and simulation techniques, the results being also made available to all other areas. AIDA will thus serve as a centre-point and integrator for diverse concepts and technologies of the other areas, which would otherwise have to be developed in isolation. Furthermore, AIDA provides common data structures and information logistics for the collaboration of all the other areas on all operational levels. Finally, AIDA is the product owner of the "virtual demonstrator".

With emphasis on automated traffic management and deployment of autonomous vehicles (AVs) for SRT, the area Sensing and Management for Agile Transport (SMAT) will provide sensing technologies to enable a “virtual right-of-way” for the SRT, to collaboratively detect traffic incidents, and to aid the enforcement of traffic rules. SMAT is organized around the working hypothesis that the agility and key performance indicators of the public transport system can be significantly improved by enabling enhanced flow of information between the demand and the supply sides.

In the area Design for Autonomous Mobility (DAM) the challenges of autonomous driving will be investigated in the context of public transport. Novel concepts for meeting those challenges will be developed. The concepts developed for enabling autonomous driving will be complemented by the novel technologies developed under SMAT. In addition, the user experience in the presence of autonomous vehicles will be investigated.


The working hypothesis of the area Individual Mobility Vehicles & Services (IMVS) is shared with RRT: it is to close the transport capacity gap between bus and MRT in Singapore and similar cities. While RRT will look into the overall transport concept, IMVS will use those outputs to come up with a detailed vehicle concept (e.g. flexible minibus) to suit this new transit mode. TUMCREATE will come up with an overall transport solution, to which IMVS will contribute the suitable vehicle concept, co-developed with support from DAM, SMAT and AIDA.


The area Electrification Suite & Test Lab (ESTL) is dedicated to electric mobility that reduces local emissions and improves the quality of city living. For a seamless integration into the power system, demand side management strategies will be developed. In order to make the electricity supply “greener”, alternative sources of energy and their storage options will be considered, both from within and outside of Singapore. On-the-road charging and improvement of reliability using stationary energy storage systems will be developed in close cooperation with RRT as the charging infrastructure is mutually dependent on the SRT layer. Design alternatives for the charging infrastructure in the presence of modular and scalable vehicles will also be investigated.

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