CoAcT: A Framework for Context-Aware Trip Planning Using Active Transport

Publication Year: 2018 Publication Type : ConferenceProceeding


Policy makers and urban planners around the world are encouraging people to use active transport by providing more easily accessible facilities for active transport users. However, trip planning using active transport is not straight forward and requires consideration of various trip contexts such as congestion, accessibility, attractiveness, safety as well as the physical ability of the traveller. The existing approaches do not provide a unified solution to integrate and represent these diverse set of contexts in active transport trip planning. In this paper, we propose a new framework called CoAcT which is able to integrate and represent various trip contexts for context aware trip planning using active transport. We also present two real world deployments of our proposed framework.


    author = {Mohammad Saiedur Rahaman and Margaret Hamilton and Flora D. Salim},
    bibsource = {dblp computer science bibliography,},
    biburl = {},
    booktitle = {2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018, Athens, Greece, March 19-23, 2018},
    doi = {10.1109/PERCOMW.2018.8480351},
    pages = {645--650},
    publisher = {IEEE Computer Society},
    timestamp = {Wed, 16 Oct 2019 14:14:54 +0200},
    title = {CoAcT: A Framework for Context-Aware Trip Planning Using Active Transport},
    url = {},
    year = {2018}


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