Add to ORKGInternational audienceAutomated Fare Collection (AFC) data of public transport details more passenger behavior information than manual survey. Based on a AFC dataset of line RER A of Paris transit system, commuter's Origin-Destination (O-D) pair has been generated by two loops. Passenger’s gate-to-gate individual travel time between access station and egress station is derived directly from the generated O-D pair
Previous research has combined automated fare-collection (AFC) and automated vehicle-location (AVL) ...
Origin–destination (OD) matrices are one of the key elements in travel behaviour analysis. For decad...
The purpose of this paper is to compare the information of origin-destination (OD) matrices, transfe...
International audienceAutomated Fare Collection (AFC) data of public transport details more passenge...
The availability of automatic fare collection (AFC) data greatly enhances a transit planner's a...
New York City Transit\u27s automated fare collection system, known as MetroCard, is an entry-only sy...
Journey time is one of the key factors of public transport quality of service that is of concern to ...
Over the past few years, several techniques have been developed for using smart card fare data to es...
Over the past few years, several techniques have been developed for using smart card fare data to es...
The aim of this study is to estimate both the physical and schedule-based connections of metro passe...
International audienceA reliable public transport system is beneficial for people traveling in the m...
The access and egress of public transport system The duration of individual time intervals in transi...
The walking, waiting, transfer, and delayed in-vehicle travel times mainly contribute to route’s tra...
This study presents a method of estimating travel time using farecard transaction data and transit s...
This dataset provides travel time and distances by car (off peak hour = OPH and morning peak hour = ...
Previous research has combined automated fare-collection (AFC) and automated vehicle-location (AVL) ...
Origin–destination (OD) matrices are one of the key elements in travel behaviour analysis. For decad...
The purpose of this paper is to compare the information of origin-destination (OD) matrices, transfe...
International audienceAutomated Fare Collection (AFC) data of public transport details more passenge...
The availability of automatic fare collection (AFC) data greatly enhances a transit planner's a...
New York City Transit\u27s automated fare collection system, known as MetroCard, is an entry-only sy...
Journey time is one of the key factors of public transport quality of service that is of concern to ...
Over the past few years, several techniques have been developed for using smart card fare data to es...
Over the past few years, several techniques have been developed for using smart card fare data to es...
The aim of this study is to estimate both the physical and schedule-based connections of metro passe...
International audienceA reliable public transport system is beneficial for people traveling in the m...
The access and egress of public transport system The duration of individual time intervals in transi...
The walking, waiting, transfer, and delayed in-vehicle travel times mainly contribute to route’s tra...
This study presents a method of estimating travel time using farecard transaction data and transit s...
This dataset provides travel time and distances by car (off peak hour = OPH and morning peak hour = ...
Previous research has combined automated fare-collection (AFC) and automated vehicle-location (AVL) ...
Origin–destination (OD) matrices are one of the key elements in travel behaviour analysis. For decad...
The purpose of this paper is to compare the information of origin-destination (OD) matrices, transfe...