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Aggregating mobile object trajectories: cumulative time geographic density estimation for GPS data

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  • Brittany S. Wood
  • Mark W. Horner

Abstract

We present new approaches that expand upon the time geographic density estimation (TGDE) framework previously employed to estimate potential path trees. In the past, TGDE metrics have identified possible locations an individual moving object may have passed between, given known origin and destination points. This paper utilizes a new form of TGDE to investigate taxicab GPS traces over a specified time horizon with position ‘gaps’. To this end, we propose a new extension to the TGDE framework, TGDE-C, which is used to determine the cumulative TGDE values for a group of GPS traces, at a given location. These metrics are applied to multiple taxis and allow for time of day analysis. Additionally, we combine these new extensions with existing TGDE metrics that allow us to determine how accessible individual or groups of vehicles are to urban opportunities.

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  • Brittany S. Wood & Mark W. Horner, 2018. "Aggregating mobile object trajectories: cumulative time geographic density estimation for GPS data," Transportation Planning and Technology, Taylor & Francis Journals, vol. 41(6), pages 600-616, August.
    • Handle: RePEc:taf:transp:v:41:y:2018:i:6:p:600-616
    DOI: 10.1080/03081060.2018.1488929
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