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Automated data in transit: Recent developments and applications
The growing adoption of automated data collection systems in the transit industry, such as automated fare-collection (AFC) and automated vehicle location (AVL), is providing operators with extensive data about the state of the system and its usage by passengers. The paper proposes a framework for using automated data to support the various functions, both planning and real time, and demonstrates its use with two examples of recent developments: a) using AFC and AVL data from metro systems with entry and exit transactions to assign passengers to the itinerary they actually used on a particular day; and b) a predictive decision support platform with real time prediction of passenger demand in terms of station arrivals and OD flows, and its use for platform and train crowding prediction.
Automated data in transit: Recent developments and applications
The growing adoption of automated data collection systems in the transit industry, such as automated fare-collection (AFC) and automated vehicle location (AVL), is providing operators with extensive data about the state of the system and its usage by passengers. The paper proposes a framework for using automated data to support the various functions, both planning and real time, and demonstrates its use with two examples of recent developments: a) using AFC and AVL data from metro systems with entry and exit transactions to assign passengers to the itinerary they actually used on a particular day; and b) a predictive decision support platform with real time prediction of passenger demand in terms of station arrivals and OD flows, and its use for platform and train crowding prediction.
Automated data in transit: Recent developments and applications
Koutsopoulos, Haris N. (Autor:in) / Noursalehi, Peyman (Autor:in) / Zhu, Yiwen (Autor:in) / Wilson, Nigel H. M. (Autor:in)
01.06.2017
1379714 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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