Transit OD matrix estimation using smartcard data: Recent developments and future research challenges
نویسندگان
چکیده
In public transport, smartcards are primarily used for automatic fare collection purpose, which in turn generate massive data. During the last two decades, a tremendous amount of research has been done to employ this big data various transport applications from transit planning real-time operation and control. One smart card is estimation origin–destination matrix (tOD). The primary focus article critically analyse current literature on essential steps involved tOD process. include processes cleansing, unknowns, transfer detection, validation developed algorithms, ultimately zone level OD (ztOD). Estimation unknowns includes boarding alighting information passengers. Transfer detection algorithms distinguish between or an activity consecutive alighting. findings reveal many unanswered critical questions need be addressed ztOD using smartcard related conversion stop (stOD) ztOD, few miscellaneous problems.
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ژورنال
عنوان ژورنال: Transportation Research Part C-emerging Technologies
سال: 2021
ISSN: ['1879-2359', '0968-090X']
DOI: https://doi.org/10.1016/j.trc.2021.103044