Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Application of Maximum Entropy Sampling Design to Traveler Information System Data-Quality Evaluations
Evaluation of travel-time data quality from traveler information systems (TISs) is a critical need for many transportation agencies. To measure data quality, observations of ground-truth travel time must be collected on links in a transportation network. Therefore, selecting which links in the network to monitor is a critical step in evaluating the quality of a TIS. This paper presents a maximum entropy sampling (MES) design that can be used to objectively select a subset of links from a road network for ground-truth data collection. This approach objectively identifies subsets of links that have the greatest variability in traffic conditions. This allows for a more rigorous evaluation of a TIS to determine the system’s ability to effectively capture changing traffic conditions. The MES method was evaluated using both a simulated and an empirical data set.
Application of Maximum Entropy Sampling Design to Traveler Information System Data-Quality Evaluations
Evaluation of travel-time data quality from traveler information systems (TISs) is a critical need for many transportation agencies. To measure data quality, observations of ground-truth travel time must be collected on links in a transportation network. Therefore, selecting which links in the network to monitor is a critical step in evaluating the quality of a TIS. This paper presents a maximum entropy sampling (MES) design that can be used to objectively select a subset of links from a road network for ground-truth data collection. This approach objectively identifies subsets of links that have the greatest variability in traffic conditions. This allows for a more rigorous evaluation of a TIS to determine the system’s ability to effectively capture changing traffic conditions. The MES method was evaluated using both a simulated and an empirical data set.
Application of Maximum Entropy Sampling Design to Traveler Information System Data-Quality Evaluations
Richardson, James K. (Autor:in) / Smith, Brian L. (Autor:in)
09.03.2015
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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