Predicting Individual Trip Destinations With Artificial Potential Fields.

A. Zonta, S.K. Smit, Evert Haasdijk

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Abstract

This paper presents a method to model the intended destination of a subject in real time, based on a trace of position information and prior knowledge of possible destinations. In contrast to most work in this field, it does so without the need for prior analysis of habitual travel patterns. The method models the certainty of each POI by means of a virtual charge, resulting in an artificial potential field that reflects the current estimate of the subject’s intentions. The virtual charges are updated as new information about the subject’s position arrives. We experimentally compare a number of update rules with various parameter settings, showing that it is important to take the distance to a potential destination into account when updating the charge.
Original languageEnglish
Title of host publicationSmart Cities
Subtitle of host publicationSecond International Conference, Smart-CT 2017, Málaga, Spain, June 14-16, 2017, Proceedings
PublisherSpringer/Verlag
Pages118-127
Number of pages10
DOIs
Publication statusPublished - 26 May 2017
EventInternational Conference on Smart Cities - Malaga, Spain
Duration: 14 Jun 201716 Jun 2017
http://smart-ct2017.lcc.uma.es/index.html

Conference

ConferenceInternational Conference on Smart Cities
Abbreviated titleSmart-CT 2017
Country/TerritorySpain
CityMalaga
Period14/06/1716/06/17
Internet address

Keywords

  • Destination Prediction
  • GPS
  • Human behavior
  • Intention analysis
  • Trajectory Database

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