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DIVAD A Dynamic and Interactive Visual Analytical Dashboard for Exploring and Analyzing Transport Data
<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/13394" mdate="2012-11-26 00:00:00"> <author>Tin Seong Kam and Ketan Barshikar and Shaun Tan</author> <title>DIVAD A Dynamic and Interactive Visual Analytical Dashboard for Exploring and Analyzing Transport Data</title> <pages>1353 - 1358</pages> <year>2012</year> <volume>6</volume> <number>11</number> <journal>International Journal of Computer and Information Engineering</journal> <ee>https://publications.waset.org/pdf/13394</ee> <url>https://publications.waset.org/vol/71</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>The advances in locationbased data collection technologies such as GPS, RFID etc. and the rapid reduction of their costs provide us with a huge and continuously increasing amount of data about movement of vehicles, people and goods in an urban area. This explosive growth of geospatiallyreferenced data has far outpaced the planners ability to utilize and transform the data into insightful information thus creating an adverse impact on the return on the investment made to collect and manage this data. Addressing this pressing need, we designed and developed DIVAD, a dynamic and interactive visual analytics dashboard to allow city planners to explore and analyze citys transportation data to gain valuable insights about citys traffic flow and transportation requirements. We demonstrate the potential of DIVAD through the use of interactive choropleth and hexagon binning maps to explore and analyze large taxitransportation data of Singapore for different geographic and time zones.</abstract> <index>Open Science Index 71, 2012</index> </article>