Skip to main content

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.

For more information on companies in this article

Related Content

  • Big data helps San Diego optimise public transit
    July 14, 2014
    San Diego Metropolitan Transit System (MTS) has turned to Cubic’s big data subsidiary Urban Insights to make better use of its data, according to a report in Information Week. The agency has disparate data sources, including a smart-card payment system, GPS-based automatic vehicle location devices on buses, automatic passenger counters on trolleys, and extensive route and schedule information formatted in the general transit feed specification (GTFS) format developed by Google in 2006. "We look at all
  • Getting more for less from traffic data
    August 15, 2012
    Collection of traffic and transit data has grown significantly, combining with advances in connectivity and computational modelling to good effect. Desire to do more with less – to make budgets go further – has helped create a boom in the collection and study of traffic and transport data. Studies are becoming longer, greater in number and further in-depth as more intelligence is sought, plus, transportation agencies are looking to make processes of data collection less costly, or more efficient.
  • Virtual modelling shows driverless cars could cut delays in the future
    January 9, 2017
    Driverless cars could significantly reduce delays according to a new study by the Department for Transport (DfT). The project used computer software to create virtual models of different parts of the UK road network including urban roads and a 20km motorway section. Delays and traffic flow were all shown to improve as the proportion of automated vehicles increased above specific levels.
  • Future of tolling: the priorities
    January 14, 2020
    In the final part of his investigation into the future of tolling technology, Josef Czako of Moving Forward Consulting asks what industry figures see as the priorities going forward…