Exploring the Individual Travel Patterns Utilizing Large-Scale Highway Transaction Dataset

With the spread of electronic toll collection (ETC) and electronic payment, it is still a challenging issue to develop a systematic approach to investigate highway travel patterns. This paper proposed to explore spatial–temporal travel patterns to support traffic management. Travel patterns were ext...

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Bibliographic Details
Published in:Sustainability 2022-10, Vol.14 (21), p.14196
Main Authors: Jia, Jianmin, Shao, Mingyu, Cao, Rong, Chen, Xuehui, Zhang, Hui, Shi, Baiying, Wang, Xiaohan
Format: Article
Language:English
Subjects:
Clustering
Commuting
Customer relationship management
Customers
Data mining
Datasets
Energy consumption
Fuzzy logic
Literature reviews
Market segmentation
Migration, Internal
Self organizing maps
Toll roads
Tolls
Traffic management
Travel
Travel patterns
Vehicles
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Summary:With the spread of electronic toll collection (ETC) and electronic payment, it is still a challenging issue to develop a systematic approach to investigate highway travel patterns. This paper proposed to explore spatial–temporal travel patterns to support traffic management. Travel patterns were extracted from the highway transaction dataset, which provides a wealth of individual information. Additionally, this paper constructed the analysis framework, involving individual, and temporal and spatial attributes, on the basis of the RFM (Recency, Frequency, Monetary) model. In addition to the traditional factors, the weekday trip and repeated rate were introduced in the study. Subsequently, various models, involving K-means, Fuzzy C-means and SOM (Self-organizing Map) models, were employed to investigate travel patterns. According to the performance evaluation, the SOM model presented better performance and was utilized in the final analysis. The results indicated that six groups were categorized with a significant difference. Through further investigation, we found that the random traveler occupied over 40% of the samples, while the commuting traveler and long-range freight traveler presented relatively fixed spatial and temporal patterns. The results were also meaningful for highway authority management. The discussion and implication of travel patterns to be integrated with the dynamic pricing strategy were also discussed.
ISSN:2071-1050
2071-1050
DOI:10.3390/su142114196