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■ Clustering of Mobile Subscriber's Location Statistics for Travel Demand Zones Diversity

Luckner M., Rosłan A., Krzemińska I., Legierski J., Kunicki R. (2017) Clustering of Mobile Subscriber’s Location Statistics for Travel Demand Zones Diversity. In: Saeed K., Homenda W., Chaki R. (eds) Computer Information Systems and Industrial Management. CISIM 2017. Lecture Notes in Computer Science, vol 10244. Springer, Cham.
To optimise a public transport infrastructure it is necessary to gather information on citizen demand on that subject. However, the data gathering is a laborious and costly task. Fig. 1 shows how Base Transceiver Stations (BTS) register a daily characteristic of mobile events occurrences. In our work, we proposed how to use the daily statistics to find similar travel demand zones from the Warsaw public transport demand model. Fig. 2 presents obtained results. On the map, one can recognise separate areas that contain shopping centres or sleeping quarters. The created methodology can be used to recognise characteristical directions of mass movement or to detect anomalies in the daily routine.

Abstrtact.
 
Current knowledge on travel demand is necessary to keep a travel demand model up to date. However, the data gathering is a laborious and costly task. One of the approaches to this issues can be the utilisation of mobile data. In this work, we used mobile subscriber’s location statistics to define a daily characteristic of mobile events occurrences registered by Base Transceiver Stations (BTS). For types of preprocessed data were tested to create stable clusters of BTS according to registered routines. The obtained results were used to find similar travel demand zones from the Warsaw public transport demand model according to a daily activity of the citizens. The obtained results can be used to update the model or to plan a cohesive strategy of public transport development.
 
Bibtex Entry.

@InBook{Luckner2017a,
  pages     = {315--326},
  title     = {Clustering of Mobile Subscriber's Location Statistics for Travel Demand Zones Diversity},
  publisher = {Springer International Publishing},
  year      = {2017},
  author    = {Luckner, Marcin and Ros{\l}an, Aneta and Krzemi{\'{n}}ska, Izabela and Legierski, Jaros{\l}aw and Kunicki, Robert},
  editor    = {Saeed, Khalid and Homenda, W{\l}adys{\l}aw and Chaki, Rituparna},
  address   = {Cham},
  isbn      = {978-3-319-59105-6},
  booktitle = {Computer Information Systems and Industrial Management: 16th IFIP TC8 International Conference, CISIM 2017, Bialystok, Poland, June 16-18, 2017, Proceedings},
  doi       = {10.1007/978-3-319-59105-6_27},
  url       = {http://dx.doi.org/10.1007/978-3-319-59105-6_27},
}