A Novel Transit Bus Number Identification Approach for Frictionless Fare Collection Using Passenger Location Data
Automated Fare Collection (AFC) systems are essential for advancing public transportation infrastructure. This study introduces a Be-In Be-Out (BIBO) framework that uses smartphone location data to facilitate frictionless fare collection by identifying public bus trips. The framework consists of two...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11071701/ |
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| author | Nafise Ghorbankhani Morteza Adl Ryan Ahmed Ali Emadi |
| author_facet | Nafise Ghorbankhani Morteza Adl Ryan Ahmed Ali Emadi |
| author_sort | Nafise Ghorbankhani |
| collection | DOAJ |
| description | Automated Fare Collection (AFC) systems are essential for advancing public transportation infrastructure. This study introduces a Be-In Be-Out (BIBO) framework that uses smartphone location data to facilitate frictionless fare collection by identifying public bus trips. The framework consists of two main components: a Travel Mode Detector (TMD), which operates on mobile devices to identify transportation modes and collect location data during transit, and a Journey Recognition Module (JRM), which processes the collected data in the cloud to identify bus trips. By combining GPS and General Transit Feed Specification (GTFS) data, the system enables efficient real-time bus trip recognition. The framework incorporates trajectory similarity algorithms such as Dynamic Time Warping (DTW) and Longest Common Subsequence (LCSS) within the JRM to enhance the accuracy of user-to-bus matching. Experimental evaluations demonstrate the effectiveness of the approach, highlighting the superior performance of DTW in accurately identifying transit bus IDs. |
| format | Article |
| id | doaj-art-b7cd28a0d7714566a5b3eec2360bdb3f |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-b7cd28a0d7714566a5b3eec2360bdb3f2025-08-20T03:28:59ZengIEEEIEEE Access2169-35362025-01-011311654811655510.1109/ACCESS.2025.358617611071701A Novel Transit Bus Number Identification Approach for Frictionless Fare Collection Using Passenger Location DataNafise Ghorbankhani0https://orcid.org/0009-0002-1219-1716Morteza Adl1https://orcid.org/0009-0001-4744-8270Ryan Ahmed2https://orcid.org/0009-0001-5805-2132Ali Emadi3https://orcid.org/0000-0002-0676-1455Electrical and Computer Engineering Department, McMaster Automotive Resource Centre (MARC), McMaster University, Hamilton, ON, CanadaMechanical Engineering Department, McMaster Automotive Resource Centre (MARC), McMaster University, Hamilton, ON, CanadaMechanical Engineering Department, McMaster Automotive Resource Centre (MARC), McMaster University, Hamilton, ON, CanadaElectrical and Computer Engineering Department, McMaster Automotive Resource Centre (MARC), McMaster University, Hamilton, ON, CanadaAutomated Fare Collection (AFC) systems are essential for advancing public transportation infrastructure. This study introduces a Be-In Be-Out (BIBO) framework that uses smartphone location data to facilitate frictionless fare collection by identifying public bus trips. The framework consists of two main components: a Travel Mode Detector (TMD), which operates on mobile devices to identify transportation modes and collect location data during transit, and a Journey Recognition Module (JRM), which processes the collected data in the cloud to identify bus trips. By combining GPS and General Transit Feed Specification (GTFS) data, the system enables efficient real-time bus trip recognition. The framework incorporates trajectory similarity algorithms such as Dynamic Time Warping (DTW) and Longest Common Subsequence (LCSS) within the JRM to enhance the accuracy of user-to-bus matching. Experimental evaluations demonstrate the effectiveness of the approach, highlighting the superior performance of DTW in accurately identifying transit bus IDs.https://ieeexplore.ieee.org/document/11071701/Fare collectionfrictionless travelGPS datapublic transportationtrajectory similarity |
| spellingShingle | Nafise Ghorbankhani Morteza Adl Ryan Ahmed Ali Emadi A Novel Transit Bus Number Identification Approach for Frictionless Fare Collection Using Passenger Location Data IEEE Access Fare collection frictionless travel GPS data public transportation trajectory similarity |
| title | A Novel Transit Bus Number Identification Approach for Frictionless Fare Collection Using Passenger Location Data |
| title_full | A Novel Transit Bus Number Identification Approach for Frictionless Fare Collection Using Passenger Location Data |
| title_fullStr | A Novel Transit Bus Number Identification Approach for Frictionless Fare Collection Using Passenger Location Data |
| title_full_unstemmed | A Novel Transit Bus Number Identification Approach for Frictionless Fare Collection Using Passenger Location Data |
| title_short | A Novel Transit Bus Number Identification Approach for Frictionless Fare Collection Using Passenger Location Data |
| title_sort | novel transit bus number identification approach for frictionless fare collection using passenger location data |
| topic | Fare collection frictionless travel GPS data public transportation trajectory similarity |
| url | https://ieeexplore.ieee.org/document/11071701/ |
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