Exploratory Data Analysis for Exploring a New Expressway using Mobility Big Data

抄録

The aim of this study is offering a new framework for evaluating functional classification of the roads and exploring a new expressway using micro-scaled mobility data, T-Map data in South Korea. The data includes the origins and destinations, links, speed, and vehicle type for each individual traffic, so link traffic, which is the goal of the study, can be viewed in the individual traffic unit. Evaluation indicators are calculated through two-step processing using T-map navigation data. In step 1, traffic attributes are analyzed by individual vehicle units and traffic attributes are aggregated by road link units. In step 2, evaluation indicators are calculated and analyzed by road link unit. Clustering analysis and GIS analysis by five variables: total traffic volume (TTV), heavy vehicle ratio (HVR), average vehicle travel length (AVTL), inter-regional ratio (ITR_Ratio), and long-distance travel ratio (LTR_Ratio) reveal the area need for a new road construction project.