1 citations · 1 across the 5 of their papers we have counts for
5 papers
Workplace Location Choice Model based on Deep Neural Network
Tanay Rastogi, Anders Karlström
Discrete choice models (DCMs) have long been used to analyze workplace location decisions, but they face challenges in accurately mirroring individual decision-making processes. Th…
Target Population Synthesis using CT-GAN
Tanay Rastogi, Daniel Jonsson
Agent-based models used in scenario planning for transportation and urban planning usually require detailed population information from the base as well as target scenarios. These…
Population Synthesis using Incomplete Information
Tanay Rastogi, Daniel Jonsson, Anders Karlström
This paper presents a population synthesis model that utilizes the Wasserstein Generative-Adversarial Network (WGAN) for training on incomplete microsamples. By using a mask matrix…
Model-based traffic state estimation using camera-equipped probe vehicles
Tanay Rastogi, Michele D. Simoni, Anders Karlström
This study addresses the challenge of estimating traffic states for road links. We propose an innovative approach that leverages partial trajectory data captured by camera-equipped…
Automated Construction of Time-Space Diagrams for Traffic Analysis Using Street-View Video Sequence
Tanay Rastogi, Mårten Björkman
Time-space diagrams are essential tools for analyzing traffic patterns and optimizing transportation infrastructure and traffic management strategies. Traditional data collection m…