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- W4310368411 abstract "Telecom operators acquire communication logs of our mobile phone usage activity for billing purposes. These communication records, also known as CDR, have proven to be an important data source for a human behavioral investigation. This chapter describes a framework for collecting data on route choice behavior based on crowdsourcing approach by using CDR data to infer individual commuting trip route choices. In this chapter, we discuss methods for inferring route choice based on a calendar year of CDR data obtained from mobile phone users in Portugal. Interpolation of route waypoints, shortest distance between a route choice and mobile usage locations, and Voronoi cells that assign a route option to coverage zones are the main approaches. These strategies are explored in combination with noise filtering utilizing DBSCAN (Density-Based Spatial Clustering of Applications with Noise) and commuting radius. In comparison to costly and time-consuming traditional travel surveys, the methodology and results discussed in this chapter are valuable for transportation modelling as they give a fresh, viable, and economical means of acquiring route choice data. Moreover, a route choice inference based on CDR data at this level of detail, i.e., street level, has rarely been studied. This chapter reflects the ideas, motivation, and thinking process of the route choice and commuting trip inference in our original work by Sakamanee et al. (J., 2020, Int., 6:306, Geo-Information, ISPRS) and Jundee et al. ((UbiComp/ISWC, of, on, ACM, and, the, 2018, 2018), Adjunct, Computers, Computing, Conference, International, Joint, Pervasive, Proceedings, Symposium, Ubiquitous, Wearable)." @default.
- W4310368411 created "2022-12-09" @default.
- W4310368411 creator A5014802853 @default.
- W4310368411 date "2022-11-30" @default.
- W4310368411 modified "2023-09-26" @default.
- W4310368411 title "Inferring Route Choice Using Mobile Phone CDR Data" @default.
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- W4310368411 doi "https://doi.org/10.1007/978-981-19-6714-6_6" @default.
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