A Novel automated fare provide to the passengers based on destination Using LPC2148 &RFID reader and tags

Abstract

This project is design in order to provide automated fare on destination estimation in bus to the passengers This research explores the application of archived data from Automated Data CollectionSystems (ADCS) to transport planning with a focus on bus passenger travelbehavior, including Origin-Destination (OD) inference, using London as a case study.It demonstrates the feasibility and ease of applying trip-chaining to infer bus passengerOD from smart card transactions and Automatic Vehicle Location (AVL)data and is the first known attempt to validate the results by comparing them withmanual passenger survey data. With the inferred OD matrices, the variations ofweekday and weekend bus route OD patterns are examined for planning purposes.Moreover, based on the inferred OD matrices and the AVL data, alighting times for bus passengers also can be estimated. Bus journey stages, therefore, can easily belinked. By comparing the interchange time and the connecting bus route’s headway,it provides a way to evaluate bus connections.In this paper we exploit the extensive farecard transaction data for deriving useful information about transit passenger behavior, namely trip purpose or activity. We show how the farecard datacan be used to infer trip purpose and to reveal travel patterns in an urban area. A case studydemonstrates the process of trip purpose inference based on farecard data from Metro Transit inthe Minneapolis-St. Paul metropolitan area.