Skip to main content

Delphi to partner Singapore LTA on autonomous vehicle technology

UK company Delphi Automotive has been selected by the Singapore Land Transport Authority (LTA) as a strategic partner to implement autonomous mobility concepts. The company will provide a fleet of fully autonomous vehicles and will develop a cloud-based mobility-on-demand software (AMoD) suite and will conduct a trial of an urban, point-to-point, low-speed, autonomous, mobility-on-demand service in Singapore's Autonomous Vehicles Test Bed located at a business park in the western area of the city. D
August 2, 2016 Read time: 2 mins
UK company 7207 Delphi Automotive has been selected by the Singapore 918 Land Transport Authority (LTA) as a strategic partner to implement autonomous mobility concepts.

The company will provide a fleet of fully autonomous vehicles and will develop a cloud-based mobility-on-demand software (AMoD) suite and will conduct a trial of an urban, point-to-point, low-speed, autonomous, mobility-on-demand service in Singapore's Autonomous Vehicles Test Bed located at a business park in the western area of the city. 

Delphi's AMoD development program and autonomous vehicle demonstration is part of the Singapore Autonomous Vehicle Initiative (SAVI), which was formed in 2014 to oversee and manage autonomous vehicle (AV) research, test-bedding, and the development of applications and solutions by industry partners and stakeholders.

Of particular interest to the Singapore LTA is the potential for automated driving solutions to make it easier for commuters transiting the ‘first mile’ and ‘last mile’ between a mass transit station and their home or workplace. By addressing this need, the usage of the mass transit systems could increase; reducing overall traffic congestion and vehicle emissions.

The Singapore LTA pilot program will last for three years with plans to transition into an operational service by 2022 timeframe.

Related Content

  • July 23, 2012
    Improving the positional accuracy of GNSS road user charging
    The European GINA project is intended to address and overcome many of the institutional, technical and public acceptance hurdles currently faced by satellite-based road user charging schemes. Dave Tindall and Denis Naberezhnykh, TRL, and Laure Dezes, ERF, write. Pay-as-you-drive Road User Charging (RUC), whereby demand (or congestion) is managed by applying appropriate tariffs in order to encourage drivers to make their journeys at less busy times, on less congested routes or even on different modes, could
  • October 29, 2015
    Counting the environmental costs of ITS deployment
    David Crawford looks at the latest thinking about calculating the benefits associated with the environmental side of ITS schemes. The penny is dropping that some environmental costs “are being shifted outside the traditional bounds of evaluation methods” for ITS-based road transport projects, according to researchers at the UK University of Leeds’ Institute for Transport Studies.
  • October 23, 2017
    UK Government announces funding for Smart Mobility Lab in London
    A consortium led by TRL has been awarded £13.4 million ($10.1 million) of the UK government's £51 million ($38 million) Connected and Autonomous Vehicle (CAV) testbed funding to create a Smart Mobility Living Lab (SMLL) in Greenwich and nearby Queen Elizabeth Olympic Park, Stratford, London. The funding is part of the £100 million ($75 million) UK CAV test bed competitive fund and is the first investment by government and industry through Meridian to develop a national CAV testing infrastructure.
  • January 26, 2017
    Fully autonomous vehicles ‘spur LiDAR sensors mass adoption’
    Cost-effective, high-resolution light detection and ranging (LiDAR) sensors capable of long-range object detection will be necessary for high to fully-automated driving applications. Demand for 3D mapping and imaging, better overall performance, automated processing of graphic data gathering and self-sufficient sensor with best-in-class performance in low-visibility conditions are factors driving the development and adoption of LiDAR sensors within the advanced driver assistance systems (ADAS) sensor suite