Skip to main content

Mercedes to test autonomous vehicles at secure US Navy base

Mercedes-Benz is to begin testing its autonomous cars on a unique site in California, at the Contra Costa Transportation Authority Concord Naval Weapons Station (CNWS), the largest test bed site in the US. Since mid-September the company has also held an official licence, issued by California, to test self-driving vehicles on public roads. The additional testing opportunities provided by the CNWS site will enable the company to significantly expand the scope of its research activities. With a test ar
October 3, 2014 Read time: 2 mins
1685 Mercedes-Benz is to begin testing its autonomous cars on a unique site in California, at the Contra Costa Transportation Authority Concord Naval Weapons Station (CNWS), the largest test bed site in the US.

Since mid-September the company has also held an official licence, issued by California, to test self-driving vehicles on public roads. The additional testing opportunities provided by the CNWS site will enable the company to significantly expand the scope of its research activities.

With a test area covering 2,100 acres, the CNWS site is currently the largest and most secure test bed site in the US. It features a network of surfaced roads resembling an urban grid plan, making it an ideal location for testing autonomous vehicles in surroundings that are as close to real life as they can be. For security reasons the testing ground, which is operated by the US Navy in conjunction with the City of Concord and the Contra Costa County Transportation Authority, is not accessible to the public.

“We can use the test site in Concord, California to run simulation tests with self-driving vehicles in a secure way, including specific hazardous situations", explained Dr Axel Gern, head of autonomous driving at 5403 Mercedes-Benz Research and Development North America, Inc. (MBRDNA). "Taken in conjunction with the results of our test drives on public roads, these tests will help us with the ongoing development of our autonomous cars." He emphasised, however, that the focus of research continues to lie in tests undertaken in a real-life environment.

Related Content

  • May 13, 2015
    Autonomous car accidents revealed in California
    Associated Press (AP) recently reported that three of Google's self-driving cars have been involved in accidents since September, when California allowed them to begin using public roads. The parts supplier Delphi Automotive had one accident, which an accident report the company provided to AP showed was not its fault. Delphi said at the time the car was being driven by the person the DMV requires behind the wheel during testing. US consumer rights advocate Consumer Watchdog has now called on Google
  • December 17, 2013
    Drive C2X tests ITS systems in Finland’s demanding weather conditions
    The VTT Technical Research Centre in Finland is involved in an extensive international Drive C2X project that tests and develops intelligent transport solutions, aimed at improving safety and efficiency in road traffic and reducing the carbon footprint of motoring. The project includes large-scale testing of inter-vehicle communication and communication between vehicles and the roadside infrastructure system. The tests are being carried out using cars from Mercedes-Benz, Opel and Volvo in slippery and deman
  • September 30, 2021
    Mercedes traffic tech set for Long Beach 
    Intelligent intersection control system aims to safely adapt traffic signal timing
  • May 16, 2014
    UR:BAN developing driver assistance and traffic management systems
    European vehicle manufacturers, including BMW, Opel and Mercedes-Benz and MAN, are taking part in a new project to develop advanced driver assistance and traffic management systems for cities. The focus is on the human element in all aspects of mobility and traffic and takes the form of three approaches: Cognitive Assistance; Networked Traffic Systems; and Human Factors in Traffic. The four-year UR:BAN project (from a German acronym for Urban Space: User-oriented assistance systems and network managemen