Difference between prediction and true traffic volume (k = 3, vehicle/day) using Kepler.gl (https://kepler.gl/).

Difference between prediction and true traffic volume (k = 3, vehicle/day) using Kepler.gl (https://kepler.gl/).

<p>Difference between prediction and true traffic volume (k = 3, vehicle/day) using Kepler.gl (<a href="https://kepler.gl/" target="_blank">https://kepler.gl/</a>).</p>

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Bibliographic Details
Main Author:	Jin Ki Eom (21192426) (author)
Other Authors:	Kwang-Sub Lee (21192423) (author), Jin Hong Min (15247175) (author), Ho-Chan Kwak (21656182) (author)
Published:	2025
Subjects:	Medicine Physiology Biotechnology Infectious Diseases Biological Sciences not elsewhere classified Information Systems not elsewhere classified transportation demand analysis traffic network attributes planning transportation facilities obtained results indicated nonlinear relationship among network flow attributes modeling traffic assignment layer perception model e ., number deep neural network xlink "> forecasting link traffic volume transport planning software case study demonstrated forecasting long corresponding link study proposes empirical study commercialized software commercial software travel speed significantly associated shortest paths several underdeveloped roadway type proposed method main idea lane capacity high purchase effectively capture effective methodology driven approach developing countries
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