Skip to main content

nuTonomy to test self-driving cars on public roads in Boston

US self-driving car startup nuTonomy is to begin testing its growing fleet of self-driving cars on specific public streets in a designated area of Boston. The company, which launched a self-driving car trial in Singapore in September, has been given permission to operate its vehicles in the city’s Raymond L. Flynn Marine Park. nuTonomy equips its vehicles with a software system which has been integrated with high-performance sensing and computing components, to enable safe operation without a driver.
November 22, 2016 Read time: 2 mins
US self-driving car startup nuTonomy is to begin testing its growing fleet of self-driving cars on specific public streets in a designated area of Boston. The company, which launched a self-driving car trial in Singapore in September, has been given permission to operate its vehicles in the city’s Raymond L. Flynn Marine Park.

nuTonomy equips its vehicles with a software system which has been integrated with high-performance sensing and computing components, to enable safe operation without a driver.

The company’s technology system out of research conducted in Massachusetts Institute of Technology labs run by nuTonomy co-founders Karl Iagnemma and Emilio Frazzoli.

During the Boston road tests, nuTonomy’s software system will learn local signage and road markings while gaining a deeper understanding of pedestrian, cyclist, and driver behaviour and interaction across a complex urban driving environment. nuTonomy plans to work with government officials to expand the testing area to other parts of the city in the near future.

The testing in Boston will enable nuTonomy to build on the knowledge it has gained from the public road tests and public trials it has been conducting in Singapore, where it plans to launch its self-driving mobility-on-demand service in 2018.

Related Content

  • Researchers devise snow ploughing algorithm
    September 16, 2014
    Canadian researchers Olivier Quirion-Blais, Martin Trépanier and André Langevin have developed an algorithm to determine the most efficient routes for snow ploughs and gritters. Snow plough routing has always been something of a ‘black art’: to direct a fleet of show plough to clear priority roads without having the same road cleared several times while others are left untreated. Increasingly, GPS is being used to track the routes the clearing vehicles have taken but until now it has not been possible to ta
  • Copenhagen to showcase ITS in action at ITSWC 2018
    December 18, 2017
    As delegates head for the 2017 ITS World Congress in Montreal, we talk to Copenhagen mayor Morten Kabell about why his city is the ideal location for next year’s event. It may have been a long time coming but the ITS World Congress will be in Copenhagen in 2018 and there can be few more fitting places to host the event. By any number of metrics - interconnected transport, cycle commuting, safer streets, reduced pollution, sustainable energy and quality of life - the Danish capital has implemented what m
  • 6G tech & autonomous cars combine in Finland
    September 29, 2023
    6G Visible has been set up by the University of Oulu and Finnish Meteorological Institute
  • Drive Sweden looks to improve rural transport
    March 18, 2020
    Drive Sweden is to facilitate seven projects focused on improving rural transport and using artificial intelligence to improve traffic flows.