Exploring the Individual Travel Patterns Utilizing Large-Scale Highway Transaction Dataset
نویسندگان
چکیده
With the spread of electronic toll collection (ETC) and payment, it is still a challenging issue to develop systematic approach investigate highway travel patterns. This paper proposed explore spatial–temporal patterns support traffic management. Travel were extracted from transaction dataset, which provides wealth individual information. Additionally, this constructed analysis framework, involving individual, temporal spatial attributes, on basis RFM (Recency, Frequency, Monetary) model. In addition traditional factors, weekday trip repeated rate introduced in study. Subsequently, various models, K-means, Fuzzy C-means SOM (Self-organizing Map) employed According performance evaluation, model presented better was utilized final analysis. The results indicated that six groups categorized with significant difference. Through further investigation, we found random traveler occupied over 40% samples, while commuting long-range freight relatively fixed also meaningful for authority discussion implication be integrated dynamic pricing strategy discussed.
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ژورنال
عنوان ژورنال: Sustainability
سال: 2022
ISSN: ['2071-1050']
DOI: https://doi.org/10.3390/su142114196