Increase in passengers for Abu Dhabi autonomous vehicles project

As the driverless vehicle project in Masdar City, Abu Dhabi began its seventh year of operations, it also welcomed its two millionth passenger. The project has collected a wealth of data which is used for further development of autonomous vehicles, both in relation to the technology and in the interaction with the users. The data collected by vehicle supplier 2getthere shows an increasing number of passengers using the system, from an average of 787 per day in May 2014 to 1,382 per day in 2016, a 75 per
November 17, 2016 Read time: 2 mins
As the driverless vehicle project in Masdar City, Abu Dhabi began its seventh year of operations, it also welcomed its two millionth passenger. The project has collected a wealth of data which is used for further development of autonomous vehicles, both in relation to the technology and in the interaction with the users.

The data collected by vehicle supplier 8172 2getthere shows an increasing number of passengers using the system, from an average of 787 per day in May 2014 to 1,382 per day in 2016, a 75 per cent increase. This increase is aided by the willingness of passengers to share transit, with the average occupancy at 60 per cent overall and peaking at nearly 90 per cent at weekends.

According to 2getthere CEO Carel van Helsdingen, the data is invaluable, providing information on the way in which passengers react with the system and reliability of the vehicles in difficult environmental and service conditions.
Location Based Systems

For more information on companies in this article

Related Content

  • Need for secure approach to connected vehicle technology
    January 7, 2013
    Accidental or malicious issue of false messages to connected vehicles could result in dire consequences, so secure systems of authentication and certification are likely to be necessary, write Paul Avery and Sandra Dykes. Connectivity among vehicles in urban traffic systems will provide opportunity for beneficial impacts such as congestion reduction and greater safety. However, it also creates security risks with the potential for targeted disruption. Security algorithms, protocols and procedures must take
    Read More
  • Ride-sharing could reduce congestion, says US study
    January 6, 2017
    A new Massachusetts Institute of Technology (MIT) study suggests that using carpooling options from companies like Uber and Lyft could reduce the number of vehicles on the road by a factor of three without significantly impacting travel time. Led by Professor Daniela Rus, director of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), researchers developed an algorithm that found 3,000 four-passenger cars could serve 98 per cent of taxi demand in New York City, with an average wait-tim
    Read More
  • Amey to ‘transform delivery services’ with autonomous vehicle funding
    April 13, 2017
    Amey, together with RACE, have secured funding from Innovate UK to build a prototype autonomous vehicle and test data collected from its sensors, which aims to transform current urban services and deliver safety benefits to our people. The vehicle will be built as part of the Connected Autonomous Sensing Service Delivery Vehicles (CASS-DV) study and will undertake tasks currently completed manually such as grass cutting and street cleaning. The vehicle will simultaneously provide real time data through
    Read More
  • Xerox wins $14.5 million contract with Calgary Transit
    March 22, 2012
    Bus schedules in the Canadian city of Calgary will be more accurate and predictable as Xerox installs a new intelligent transportation system made up of computer-aided dispatch and vehicle location technologies. As part of a two and a half year, US$14.5 million contract, the computer-aided dispatch and automatic vehicle location (CAD/AVL) system will help Calgary Transit improve fleet management and on-time arrivals. Xerox will install the new system so Calgary Transit can track and dispatch all 986 buses a
    Read More

Highlighted Content