Taxi trips distribution modeling based on Entropy-Maximizing theory: A case study in Harbin city—China

Volume: 493, Pages: 430 - 443
Published: Mar 1, 2018
Abstract
Understanding Origin–Destination distribution of taxi trips is very important for improving effects of transportation planning and enhancing quality of taxi services. This study proposes a new method based on Entropy-Maximizing theory to model OD distribution in Harbin city using large-scale taxi GPS trajectories. Firstly, a K-means clustering method is utilized to partition raw pick-up and drop-off location into different zones, and trips are...
Paper Details
Title
Taxi trips distribution modeling based on Entropy-Maximizing theory: A case study in Harbin city—China
Published Date
Mar 1, 2018
Volume
493
Pages
430 - 443
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