Add to ORKGDevelopment of origin-destination demand matrices is crucial for transit planning. The development process is facilitated by transit automated data, making it possible to mine boarding and alighting patterns on an individual basis. This research proposes a novel stochastic trip chaining method which uses Automatic Fare Collection (AFC) and General Transit Feed Specifications (GTFS) data to infer an origin-destination (O-D) matrix.https://pdxscholar.library.pdx.edu/trec_seminar/1143/thumbnail.jp
Automated fare collection (AFC) system, also known as the transit smart card (SC) system, has gained...
Origin–destination (OD) matrices are one of the key elements in travel behaviour analysis. For decad...
This study presents a method of estimating travel time using farecard transaction data and transit s...
Development of an origin-destination demand matrix is crucial for transit planning. The development ...
This research contributes to a very active body of literature on the application of Automated Data C...
University of Minnesota M.S. thesis. December 2019. Major: Civil Engineering. Advisor: Alireza Khan...
This research explores the application of archived data from Automated Data Collection Systems (ADCS...
In modern urban transit networks, buses and subways are not distinguished as different modes of tran...
Increasing the proportion of commuters travelling by public transportation can effectively ease urba...
Most fare collection systems are initially installed as single-purpose devices which are only used f...
Automated fare collection (AFC) systems have been widely implemented around the world. Their main go...
Thesis (Ph.D.)--University of Washington, 2013The United States energy information administration st...
Thesis (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and P...
University Transportation Centers Program2018PDFTech ReportFan, Wei (David)Chen, ZhengUniversity of ...
As fare and data collection technology has developed, the resolution of collected data has reached t...
Automated fare collection (AFC) system, also known as the transit smart card (SC) system, has gained...
Origin–destination (OD) matrices are one of the key elements in travel behaviour analysis. For decad...
This study presents a method of estimating travel time using farecard transaction data and transit s...
Development of an origin-destination demand matrix is crucial for transit planning. The development ...
This research contributes to a very active body of literature on the application of Automated Data C...
University of Minnesota M.S. thesis. December 2019. Major: Civil Engineering. Advisor: Alireza Khan...
This research explores the application of archived data from Automated Data Collection Systems (ADCS...
In modern urban transit networks, buses and subways are not distinguished as different modes of tran...
Increasing the proportion of commuters travelling by public transportation can effectively ease urba...
Most fare collection systems are initially installed as single-purpose devices which are only used f...
Automated fare collection (AFC) systems have been widely implemented around the world. Their main go...
Thesis (Ph.D.)--University of Washington, 2013The United States energy information administration st...
Thesis (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and P...
University Transportation Centers Program2018PDFTech ReportFan, Wei (David)Chen, ZhengUniversity of ...
As fare and data collection technology has developed, the resolution of collected data has reached t...
Automated fare collection (AFC) system, also known as the transit smart card (SC) system, has gained...
Origin–destination (OD) matrices are one of the key elements in travel behaviour analysis. For decad...
This study presents a method of estimating travel time using farecard transaction data and transit s...