DATA-ORIENTED APPROACH IN TRANSPORT STUDIES

Abstract

Recent advances of information technologies enable us to collect huge datasets relating to transport systems. Passive data, such as traffic detector data, smart card data, and probe vehicle data, can be automatically and continuously collected along with operation of the systems. The long-term continuous records of travellers' use of the transport systems can be stored in such passive datasets. This paper summarises the history of data collection in the transport studies in order to describe differences between conventional datasets and passive ones. Based on the passive datasets, the perspectives of the studies on variabilities in transport network are discussed.