Context-Aware Systems and Applications, and Nature of Computation and Communication. 6th International Conference, ICCASA 2017, and 3rd International Conference, ICTCC 2017, Tam Ky, Vietnam, November 23-24, 2017, Proceedings

Research Article

Visualizing Space-Time Map for Bus

  • @INPROCEEDINGS{10.1007/978-3-319-77818-1_4,
        author={Hong Nguyen and Diu Ngo and Tha Bui and Cam Huynh and Phuoc Tran},
        title={Visualizing Space-Time Map for Bus},
        proceedings={Context-Aware Systems and Applications, and Nature of Computation and Communication. 6th International Conference, ICCASA 2017, and 3rd International Conference, ICTCC 2017, Tam Ky, Vietnam, November 23-24, 2017, Proceedings},
        proceedings_a={ICCASA 2017 AND ICTCC},
        year={2018},
        month={3},
        keywords={Visual Bus map Spatio-temporal data Space-time map},
        doi={10.1007/978-3-319-77818-1_4}
    }
    
  • Hong Nguyen
    Diu Ngo
    Tha Bui
    Cam Huynh
    Phuoc Tran
    Year: 2018
    Visualizing Space-Time Map for Bus
    ICCASA 2017 AND ICTCC
    Springer
    DOI: 10.1007/978-3-319-77818-1_4
Hong Nguyen,*, Diu Ngo1,*, Tha Bui2,*, Cam Huynh2,*, Phuoc Tran1,*
  • 1: Thudaumot University (TDMU)
  • 2: University of Information Technology (UIT), Vietnam National University – HCMC
*Contact email: Hongnguyen1611@gmail.com, diuntn@tdmu.edu.vn, bththa@gmail.com, camhuynhit@gmail.com, Phuoc.gis@gmail.com

Abstract

Current bus maps are created by tracing ground trajectories of bus routes on available base maps. These bus maps provide with the spatial information of ground trajectories and bus stops; some websites have associated departure time table with each ground trajectory on the map. It is considered that bus users need not only spatial but also temporal information. This paper integrates visualization with temporal geography to represent spatio-temporal data of bus network as a visualized-space-time bus map. The visualized-space-time bus map displays visually the movement data of bus as graphs of bus routes and bus trips on screen. The graphs are classified as visual classes according to their attributes. The visual features of the graphs are enhanced by integrating graph classes with retinal variables. The visualized-space-time bus map enables users to analyze visually the spatio-temporal data of bus network for their travels.