Insights of human-transportation system interactions inferred from public transit operational data

Abstract

Public transport operations data and in particular fare collection data can be used to reconstruct and analyse mobility patterns. So far, various methods have been proposed and studied in some specific contexts. This paper proposes a general framework for looking at all the core elements of mobility in the various possible operational settings of public transport. It also describes some novel methods for trip alignments, travels’ origin and destination detection and vehicle load estimation. Two use cases illustrate the use of the framework and validate the efficiency of the proposed reconstruction methods.

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