Skip to main content

Singapore unveils roadmap for self-driving vehicles

Singapore's Ministry of Transport (MOT) and Land Transport Authority (LTA) have unveiled plans to start trialling self-driving vehicles, claiming this is another step towards the country’s long-term vision of deploying self-driving vehicles and mobility concepts to enhance and complement its multi-modal land transport system. Self-driving vehicle trials have already commenced in a 200 hectare business park and are expected to start in another area in December. The tests will be carried out by the Institu
October 15, 2015 Read time: 3 mins
Singapore's Ministry of Transport (MOT) and Land Transport Authority (LTA) have unveiled plans to start trialling self-driving vehicles, claiming this is another step towards the country’s long-term vision of deploying self-driving vehicles and mobility concepts to enhance and complement its multi-modal land transport system.

Self-driving vehicle trials have already commenced in a 200 hectare business park and are expected to start in another area in December. The tests will be carried out by the Institute for Infocomm Research (I2R) under the Agency for Science, Technology and Research (A*STAR) and the Singapore-MIT Alliance for Research and Technology (SMART).

To ensure safe conduct of the trials, all self-driving vehicle prototypes are to be fitted with data loggers to record information such as the date and time of tests, vehicle speed, travel route and other relevant information.

LTA will also be implementing supporting infrastructure along the 6km-long test route in phases, in order to monitor the trials, as well as vehicle-to-infrastructure cooperative systems to enhance the awareness of self-driving vehicles. The supporting infrastructure includes closed-circuit television (CCTV) camera systems to allow LTA to monitor and study the behaviour of self-driving vehicles especially at locations such as traffic junctions and road bends.

Dedicated short range communications (DSRC) beacons will be implemented at designated locations to enhance the vehicles’ way-finding ability. A back office system will analyse the data generated by the vehicles and manage the flow of information between the test vehicles and the infrastructure system. Signage and decals will be implemented to inform other road users of the trials.

Permanent Secretary for Transport Pang Kin Keong, chairman of the Committee on Autonomous Road Transport in Singapore (CARTS), said, “Self-driving vehicles can radically transform land transportation in Singapore to address our two key constraints – land and manpower. The trials will help us shape the mobility concepts which can meet Singapore’s needs, and also gain valuable insights into how we can design our towns of the future to take advantage of this technology.”

According to the MOT, three other self-driving vehicle pilots have been planned for Gardens by the Bay, West Coast Highway, and Sentosa. These trials would include autonomous truck platooning for transporting cargo between port terminals and self-driving shuttles targeted for use by visitors and staff members at Sentosa.

Related Content

  • November 14, 2019
    NTU and M1 to develop Singapore 5G C-V2X testbed
    Nanyang Technological University (NTU) in Singapore is working with M1 to integrate 5G technology into its cellular Vehicle to Everything (C-V2X) research testbed.
  • April 24, 2013
    Vehicle identification systems aid dynamic bus operations
    David Crawford looks at a global trend towards more efficiency in less space As buses gain increased profile in the public transport mix needed for modal shift, attention is turning towards improving terminal layouts for more efficient handling of services and passengers. Locations, too, tend to be in central areas of cities, where sites are restricted and land values high. Enter the dynamic bus station, which uses modern vehicle identification systems to optimise space use and streamline service operation
  • February 3, 2012
    Detection analysis technology successfully predicts traffic flows
    David Crawford investigates new detection analysis technology from IBM. Locations on both the East and West Coasts of the US are scheduled for early deployments of IBM's new Traffic Prediction Tool (TPT) statistical analysis model for the fine-time resolution and near-term prediction of road flow conditions. Developed by IBM's Watson Research Laboratories, TPT is designed to analyse data from the the key detection indicators - average vehicle volumes and speeds passing a location in a given time interval -
  • October 26, 2016
    Speeding ambulances through borders
    David Crawford sees hope for stricken patients on the wrong side of the border. In treating patients with heart or stroke conditions, speed is of the essence.