New app aids travel behaviour research

Sense.DAT is a smart app that has been developed to fully support panel-based travel research. It can measure, analyse and store outdoor travel behaviour (travel diaries) and travel experience data. The sensors in a traveller’s iPhone detect where and when they travelled, by what mode and by which route. It offers a daily travel overview, including statistics that can be accessed through a calendar.
August 3, 2015 Read time: 1 min
Sense.DAT is a smart app that has been developed to fully support panel-based travel research. It can measure, analyse and store outdoor travel behaviour (travel diaries) and travel experience data. The sensors in a traveller’s iPhone detect where and when they travelled, by what mode and by which route. It offers a daily travel overview, including statistics that can be accessed through a calendar.

The system has Data security and privacy protection have been given particular attention so that the collected data will be used solely for research purposes.

Each trip can be viewed, approved and, if necessary, corrected by the user. 8188 DAT.Mobility claims that in this way highly accurate and complete travel diaries can be obtained with little effort. Sense.DAT includes self-learning algorithms to detect habitual patterns in behaviour. As a result, the app will automatically detect frequently used routes and frequently visited places.

For more information on companies in this article

Related Content

  • Singapore plans changes to transit system
    June 13, 2018
    Singapore has the third-highest population density in the world and the numbers are continuing to grow. The government knows that transit is vital: David Crawford investigates the city state’s Smart Nation strategy. Transport is the most important of the five domains identified as the pillars of Singapore's far-reaching Smart Nation strategy, launched in November 2014 by prime minister Lee Hsien Loong with the aim of reaching fulfilment by 2024. Roads account for 12% of the island republic's 719km2 land ar
    Read More
  • On a WIM – a global view of weigh in motion
    May 25, 2016
    Q-Free’s Andrew Lees looks at regional characteristics and technology trends in the global Weigh-In-Motion market. The principles of Weigh-In-Motion (WIM) are well established. Data derived from vehicles passing over in-ground sensors can be interpreted for vehicle classification (axle counts and spacing) and positive identification (especially when linked to image capture) applications as well as to derive individual axle and gross vehicle weight (GVW).
    Read More
  • The future of in-vehicle navigation systems
    February 3, 2012
    TRL's Alan Stevens looks at the evolution and future prospects of in-vehicle navigation devices. Human-Machine Interaction (HMI) plays a crucial role in the safety of vehicles on our roads. Until we achieve full automation (and that's a debatable prospect anyway) a driver's interaction with the vehicle - all the controls, information and systems - holds a pivotal role in safe driving.
    Read More
  • Island Radar: safely crossing continents
    August 6, 2020
    There is a safety flashpoint wherever roads cross over railways. Island Radar is using well-established traffic technology to keep all parties safe from harm.
    Read More

Highlighted Content