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Privacy and Cookies

Data Security

Website Terms and Conditions

Software Licensing Terms

Privacy and Cookies

We may change this privacy notice from time to time by updating this page.

What information do we collect?

When you use this website, we may collect the following information:

  • the areas of the website that you visit
  • information about your computer, such as which browser you are using, your network location, the type of connection you are using (e.g. broadband, ADSL etc) and your IP address

We do this by using cookies, which are small files that help us track how our visitors use the website and enable us to understand where we can improve your experience. If you would like to find out which cookies we use and the information they track see our Cookies Policy.

Once you submit or register information through our website we will know who you are and your activities on this website and information about you and/or your company may be recorded on our systems. For example, we may ask for personal information when you download our software including:

  • your name
  • company name
  • email address
  • postal address
  • telephone number
  • country where you are based
  • Social media ID
  • your comments/questions
  • services/markets you are interested in

We may also collect personal information from telephone calls and/or other correspondence with you.

What do we do with the information we collect?

The information we capture is used for various purposes. The main purpose is to provide you with our services (whether available via the website or offline). We also use the information for:

  • website development
  • understanding how our visitors interact on the website
  • understanding what our clients are interested in
  • understanding what potential clients are interested in
  • dealing with enquiries/concerns
  • marketing our services and people to you
  • market research
  • service development
  • internal record keeping


We would like to provide you with information about our services and other information which we think you may find interesting. We may send you such information by post, email and/or telephone, unless you have asked us not to do so.

We will not provide your personal information to other organisations for marketing purposes without your explicit consent.

If at any time you do not want your information used for direct marketing purposes, please contact us or follow the unsubscribe link in our marketing email messages.

Who do we share this information with?

We may share your personal information with companies acting on our behalf who will only use the information to provide that service. However, we will retain control of your data and any third party service provider that we use must act in accordance with our instructions. We may also share your personal information with a purchaser or potential purchaser of our business.

In some circumstances, we may have to disclose your personal information by law, because a court or the police or other law enforcement agency has asked us for it.

How to get copies of or amend the information we have collected

You may request details of the personal information that we hold about you under data protection laws. If you would like a copy of the information held about you please write to us at oasys@arup.com or at: Data Protection Officer, 13 Fitzroy Street, London, UK, W1T 4BQ. Please note that we may charge a small £10 administration fee for information requests.

If you think any information we have about you is incorrect or incomplete, please email us as soon as possible. We will correct or update any information as soon as we can.

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Data Security

We are committed to ensuring that your information is secure. In order to prevent unauthorised access or disclosure we have put in place suitable physical, electronic and managerial procedures to safeguard and secure the information we collect, including locked cabinets, electronic password protection and pass card access to buildings.

If at any point you suspect or receive a suspicious communication from someone suggesting they work for Oasys or a website claiming to be affiliated with Oasys, please forward the communication to us or report the incident by email to oasys@arup.com or in writing to Oasys, 13 Fitzroy Street, London, UK, W1T 4BQ as soon as possible.

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Website Terms and Conditions

The contents of this web site are protected by copyright and other intellectual property rights under international conventions. No copying of any words, images, graphic representations or other information contained in this web site is permitted without the prior written permission of the webmaster for this site.

Oasys accepts no responsibility for the content of any external site that links to or from this site.

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Software Licensing Terms

Terms and Conditions of Purchase

The full conditions of purchase and maintenance for all Oasys software are set out in the Oasys Software Licence and Support Agreement. All prices are subject to TAX at the current rate.

Prices and specifications are subject to change without notice – please ask for a written quotation.

Although every care has been taken to ensure the accuracy of all information contained herein, the contents do not form or constitute a representation, warranty, or part of any contract.

Superseded Versions of Terms and Conditions

Oasys keeps copies of all superseded versions of its terms and conditions.

Maintenance & Support Services

Support and maintenance is included with all subscription licences for their full duration.

Annual maintenance contracts are available for software under a perpetual licence, prices are based on a percentage of the most recent list price.

This service includes:

  • telephone/fax/email/web based support
  • free software updates available via internet download
  • personalised output header for many products

How – and when – will big data benefit pedestrian simulation?

Machine Learning is a current application of Artificial Intelligence based around the idea that we should just be able to give machines access to data and let them learn for themselves. What are the implications for pedestrian simulation now that there is a veritable flood of data becoming available to it?

The first release of release Oasys MassMotion pedestrian simulation software was a response to the specific needs of the engineering team working on what has now become the New York Fulton Centre and subway interchange. They had a huge infrastructure project on their hands, with no way of testing their design concept. The MassMotion team developed algorithms that could simulate people moving through 3D space. Impressive as it was, it was developed in what was, relatively speaking a data drought, dependent on manual sources and inputs.

Since then, Oasys MassMotion software has been under continuous development and is widely used in rail, air and sports hubs as well as complex public spaces. It is now generally accepted that crowd simulation has a key role to pay in any design process where there are large numbers of people and/or specific performance criteria to cater for. It is also accepted that MassMotion’s pedestrian simulation is about as near to real human behaviour as it is possible – currently – to get.

It uses relatively small amounts of input data to drive an iterative cause and effect model which then generates large amounts of predictive data. Now the data floodgates are set to open, we need to learn how to assimilate all the information.

Data that was typically collected manually is now becoming available from streaming sources:

The immediate benefit should be using these large amounts of data to generate models that can turn new input data into meaningful outputs using techniques including convolutional neural networks, clustering, and regression analyses. These models will be statistically reliable and verifiable. For example: In this situation will a person tend to choose the right or left door?

But there are limits… machine learning models only provide meaningful answers when new input data is similar to the data used to train the models. These models cannot generate datasets that describe novel conditions.

Ubiquitous and high-quality data collection isn’t here yet, but it will happen sooner rather than later. We are going to need new tools and techniques to handle the new data flood and now is the time to be resolving issues around ownership and interoperability.

For now, we need to look critically at workflows and identify and focus on areas of poor data integrity. Because simulations are so dependent on such a small amount of input data, it is critical that this data is a good as it can be.  In the short term, machine learning and sensor data analytics offer the promise of significant improvement to simulation input data.

Big Data Analytics will improve our understanding of the now and help us to simulate the future. Crowd movement and management will be improved: the buildings and cities we live in will be better suited to the needs of our growing population.


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