Our project STCT fare structures offering customers the cheapest fare

option for travel throughout the day. Using our advanced journey processing engine we are able to calculate the total travel expenditure for a month or year is being calculated and shown in android application.

At the start of his\her travel rfid tag senses the persons id and gives its information to the board and via cloud technology ,Customer fares are deducted from their account balance. When the balance falls below a threshold the service will auto-top up through a PCIDSS (payment card industry data security standard) compliment payment service

The service is token agnostic and supports contactless EMV, ITSO smartcards, mobile apps, barcode or a combination. All we need is verification of a customer location and the time at which the journey is started or ended and the journey processing engine will do the rest..

Step 1:

ABSTRACT :

The large amount of growth in Indian population has increased the demand on the transport systems. In the area of public transport, it has become essential to consider effective technologies that will ease the system of transport. This paper presents the design of a public transport ticketing system that harness the functionality of the existing electronic smart card into an android application. This application aims to relate the man machine interaction (MMI) using Internet of things IOT principles of functionality, usability, simplicity , visibility, affordance and consistency for enhancing the experience of ticketing for the public transport commuters in India.

Customers may travel on rail and bus without purchasing their tickets before travel or queuing at a ticket office. Through use of a internet of things, customers may monitor their travel spend and journey history. Customers have complete freedom to travel pay as you go,in any local train or bus.

Step 2:

configure wifi setup to intel edition

Step 3:

download and install all driver setups for audrino IDE

Step 4:

>> connect the pin in digital then pin 12 into arduino Rfid reader is connected to pin 5 volt is ground then 1 & 0 that is Txr & Rxr connector.

Step 5:

GPS is connected into arduino via pin tx to13 rx to 12 and the power supply 5 v is takeen from arduino (note than gps should not be connected to 3.3 v).

Step 6:

Finally the sensor data is upload to the cloud (microsoft azure) and put the data's in SQL database and viewed by importing the data base into power VDI.