Skip to main content

Self-driving taxis take to the road in Singapore

US self-driving car software developer nuTonomy has launched a public trial of a self-driving taxi service in Singapore’s one-north business district, a 2.5 square mile business district, where the company has been conducting daily autonomous vehicle (AV) testing since April. nuTonomy’s cars, a Renault Zoe or Mitsubishi i-MiEV specially configured for autonomous driving, will have an engineer from nuTonomy in the vehicle to observe system performance and assume control if needed to ensure passenger comfo
August 26, 2016 Read time: 2 mins
US self-driving car software developer nuTonomy has launched a public trial of a self-driving taxi service in Singapore’s one-north business district, a 2.5 square mile business district, where the company has been conducting daily autonomous vehicle (AV) testing since April.

nuTonomy’s cars, a Renault Zoe or Mitsubishi i-MiEV specially configured for autonomous driving, will have an engineer from nuTonomy in the vehicle to observe system performance and assume control if needed to ensure passenger comfort and safety.

Throughout the trial, nuTonomy will collect and evaluate valuable data related to software system performance, vehicle routing efficiency, the vehicle booking process, and the overall passenger experience. This data will enable nuTonomy to refine its software in preparation for the launch of a widely-available commercial self-driving taxi service in Singapore in 2018.

CEO and co-founder of nuTonomy, Karl Iagnemma, said, “nuTonomy’s first-in-the-world public trial is a direct reflection of the level of maturity that we have achieved with our AV software system. The trial represents an extraordinary opportunity to collect feedback from riders in a real-world setting, and this feedback will give nuTonomy a unique advantage as we work toward deployment of a self-driving vehicle fleet in 2018.”

Related Content

  • 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 -
  • December 16, 2013
    SCATS study shows significant savings
    Australian study quantifies the benefits of SCATS to the motorists, the environment and the economy. Opportunity weekday cost savings potential of some AUD16 million (US$15.2 million) has emerged from rigorous analysis of a one-day study of Australia’s Sydney Coordinated Adaptive Traffic System (SCATS) in operation. This represents 27% of the total cost of a real alternative semi-adaptive traffic control. The estimated indicative annual weekday-based value is AUD3,900 million (US$3,705 million) or 0.9% of t
  • October 10, 2012
    Integrated weather and traffic data aids winter maintenance
    A US pooled fund study group has developed a system of software aimed at taking the concept of winter maintenance decision support to a new level – a scientific ‘one-stop-shop’ of weather and service performance data. This report is by Charles Chambers and Benjamin Hershey. With advancements in environmental technology come new systems that assist agencies with better management of winter roadway maintenance resources. In the late 1990s the US Federal Highway Administration (FHWA) began work developing a pr
  • January 20, 2025
    Oxa joins Sunderland AV shuttle programme
    UK city initiative aims to show how AVs can connect people to key destinations