Skip to main content

2getthere enters partnership to trial AVs at NTU smart campus

2getthere’s Silent Roadstar autonomous vehicles (AVs) will run on the Nanyang Technological University’s (NTU’s) Smart Campus by 2019 as part of a partnership which also includes SMRT Services. The project intends to develop transport that will benefit the NTU community and society. Silent Roadstar uses magnetic pellets on the road for autonomous navigation and can travel in both directions. It runs at 40km per hour and can carry 24 passengers. These Group Rapid Transits (GRTs) will be tested in a few
April 20, 2018 Read time: 2 mins

8172 2getthere’s Silent Roadstar autonomous vehicles (AVs) will run on the Nanyang Technological University’s (NTU’s) Smart Campus by 2019 as part of a partnership which also includes SMRT Services. The project intends to develop transport that will benefit the NTU community and society.

Silent Roadstar uses magnetic pellets on the road for autonomous navigation and can travel in both directions. It runs at 40km per hour and can carry 24 passengers.

These Group Rapid Transits (GRTs) will be tested in a few phases that are scheduled to start around the last quarter of 2018. The vehicles are expected to transport 200 to 300 passengers per day to NTU’s halls of residences with the main academic area.

Additionally, the partnership will conduct research to improve AV technologies such as increasing the use of artificial intelligence, developing advanced sensors and sensor fusion algorithms and improving fleet management technologies.

The trial will be expanded campus-wide and run alongside other AVs that have been undergoing tests since 2012.

Subra Suresh, NTU president professor, said: “NTU’s campus is not only a living testbed for innovative technologies, but also the first to test driverless vehicles on Singapore roads. Autonomous vehicles are an integral part of the NTU Smart Campus vision, which leverages tech-enabled solutions to create better living and learning experiences. This new collaboration with SMRT and 2getthere highlights our goal of developing cutting-edge transport solutions that will benefit Singapore and beyond.”

Related Content

  • September 12, 2019
    Curiosity Lab enters partnership on AV research
    A US transport research organisation has partnered with the Georgia Institute of Technology and Delta Airlines to advance autonomous vehicle (AV) and infrastructure research. Curiosity Lab at Peachtree Corners is a 5G-enabled autonomous vehicle (AV) test bed with a 1.5 mile AV track. The deal will provide Georgia Tech researchers with access to Curiosity Lab’s test track and laboratory. The lab features dedicated fibre, smart poles and a network operations centre for researchers to track data from connecte
  • July 20, 2018
    Grab and NUS set up AI lab in Singapore to make cities smarter
    Technology company Grab and the National University of Singapore (NUS) has set up an artificial intelligence (AI) lab to help develop smarter cities in South-east Asia. The partnership intends to solve challenges such as congestion and the liveability of cities in the region. The Grab-NUS AI Lab, part of an initial joint investment of S$6m (£3.3m), will utilise data from the Grab platform to provide insights into how citizens move across cities. It will also be used to map out traffic patterns and ident
  • February 10, 2021
    Consortium tests autonomous bus in Greece 
    Iseauto is part of the EU-funded Fabulos project to see how cities can use passenger AVs
  • November 15, 2017
    HMI commence third driverless vehicle trial at La Trobe University, Melbourne
    HMI Technologies (HMI) has launched its third self-driving vehicle trial with a consortium of partners at La Trobe University, in Melbourne, Australia. The trial intends to further help authorities and commercial businesses to research the benefits and limitations of the technology, and identify how it will become part of the public transport network of tomorrow. The La Trobe Autonobus (LTA) will soon connect students and staff at the University campus to other transport network nodes such as trams and bus