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EPUI: Experimental Platform for Urban Informatics

DocUID: 2018-003 Full Text: PDF

Author: Xiaoyu Ge, Panos K. Chrysanthis, Konstantinos Pelechrinis, Demetrios Zeinalipour-Yazti

Abstract: Recent studies in urban navigation have revealed new demands (e.g., diversity, safety, happiness, serendipity) for the navigation services that are critical to providing useful recommendations to travelers. This exposes the need to design next-generation navigation services that accommodate these newly emerging aspects. In this paper, we present a prototype system, namely, EPUI (an Experimental Platform of Urban Informatics), which provides a testbed for exploring and evaluating venues and route recommendation solutions that balance between different objectives (i.e., demands) including the newly discovered ones. In addition, EPUI incorporates a modularized design, enabling researchers to upload their own algorithms and compare them to well-known algorithms using different performance metrics. Its user interface makes it easily usable by both end-user and experienced researchers.

Published In: Proceedings of the 2018 ACM SIGMOD International Conference on Management of Data

ISBN: 978-1-4503-4703-7

Pages: 1761-1764

Year Published: 2018

DOI: 10.1145/3183713.3193560

Project: Others Subject Area: Data Exploration, Data Personalization, Urban Informatics

Publication Type: Demonstration

Sponsor: NSF CPS-1739413, NIH U01HL137159

Citation:Text Latex BibTex XML Xiaoyu Ge, Panos K. Chrysanthis, Konstantinos Pelechrinis, and Demetrios Zeinalipour-Yazti. EPUI: Experimental Platform for Urban Informatics. Proceedings of the 2018 ACM SIGMOD International Conference on Management of Data. 1761-1764. 2018. DOI: 10.1145/3183713.3193560.