Abstract

The automated fare collection (AFC) system has gained increasing popularity among transit systems worldwide. The AFC system is usually an entry-only system that only records the serial number of the smart card and the transaction time of each use. Neither the AFC data nor the bus global positioning system (GPS) could reveal the passenger’s alighting information, namely, alighting time and station. Hence, the station-to-station origin-destination (OD) trip information cannot be obtained directly from the available data sources. To address this problem, this paper proposes a methodology that estimates the OD matrix by using smart card and GPS data. In this paper, the characteristics of the basic data sources are first analyzed, based on which the bus arrival time is generated using the density-based clustering algorithm and a time correction strategy, based on which the passenger’s boarding station is identified. The alighting stations are inferred based on the characteristics of bus trip chaining, which could identify over 80% of the alighting stations on average. Finally, the proposed methodology is verified by a comprehensive field survey in Suzhou, China, with 100% sample rate.

Highlights

  • Ere has been some work in mining the smart card data and other types of data collected during the bus operation, such as bus global positioning system (GPS) data and WiFi/ Bluetooth probes data

  • If the broken chain is in the head and tail of the chain, the alighting stations of non-last bus travel can be estimated in the same way as that used in a closed bus trip chain

  • After reasonably dividing the bus datasets that have been effectively identified on the boarding station, we use the proposed algorithm based on the bus trip chain to estimate the alighting station and obtain the OD matrix

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Summary

Card type Swiping time Line number Vehicle number

Unique identification of a smart card record Unique identification of smart card General card/senior card/student card 2018-03-01 13:17:54 Bus line number Bus number Bus fare. RECORD_ID BUS_UUID LINE_UUID LINE_NAME DATA_TYPE RECORD_TIME LNG LAT ALT GPS_SPEED ROTATE_ANGLE

Altitude GPS speed Rotation angle
Latitude of a bus station
Station N Arrival time
Δt can be expressed as
Other modes
Connecting line between railway station and suburb
Recycle the ticket at the back door
Alighting station identification Value
Est Real
Alighting station estimation
Findings
No of station
Full Text
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