ATM Traffic Generator
This page shows you how GEDIS Studio can be used to simulate traffic for automatic teller machines (ATM). We have put this demonstration generator online so that you can choose your own generation parameters and produce the corresponding sample data.
How does it work ?
Bank : Traffic Simulator for Automatic Teller Machine
The project files are available for download so that you can use the ATM traffic generator with a regular copy of the Enteprise Edition Trial, just send us an email at This e-mail address is being protected from spambots. You need JavaScript enabled to view it
Automatic Teller Machine Traffic Generator
In this case study, GEDIS Studio generates banking transactions that simulate the activity of the ATM users. We have designed this sample traffic generator to produce for each customer a sequence of withdrawals and a sequence of deposits.
Sample ATM Transactions
| ID | Customer | Date | ATM ID | Operation | Amount |
|---|---|---|---|---|---|
| 001 | 00000101 | 08:53:00 | ATM1 | WITHDRAWAL | $ 431.00 |
| 002 | 00000101 | 09:10:00 | ATM1 | WITHDRAWAL | $ 539.00 |
| 003 | 00000101 | 14:12:00 | ATM2 | WITHDRAWAL | $ 100.00 |
| 004 | 00000101 | 20:00:00 | ATM1 | DEPOSIT | $ 100.00 |
From the configuration panel, it is possible to constraint the number of withdrawal and the total amount of those withdrawals into a specific range for each customer. It is also possible to constraints the deposit transactions in the same way.
In the sample data table, the generator choose to generates 3 withdrawals for an amount of $1 100 and one deposit for $100.
Regular Transactions Traffic
This generator is suitable for producing a large bunch of data to simulate the regular activity of significant amount of virtual customers over the network of ATM of the bank. In that scenario, all the customers will follow the same "regular profile" with a usual number of withdrawals and deposits for a usual total amount.
ATM Fraud Usage Detection
It would also be possible to configure that same generator to implement suspicious behaviors. For example with a numerous withdrawals for a small amount from diffrent ATM located in the same area. Everything is there to simulate that kind of behavior with the sample ATM traffic generator exposed here.




