Tanmoy Bhowmik

Assistant Professor

Portland State University

United States

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About

Dr. Tanmoy Bhowmik is an Assistant Professor at Portland State University, USA. His research areas encompass data fusion models, missing data imputation approaches, and the relationship between population mobility and COVID-19 transmission. Additionally, he has contributed to various studies on road safety analysis, hurricane evacuation behavior, and modeling residential energy consumption.

Articles (19)

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Collaborators (6)

mohamed H. zaki

assistant professor

Western University

CANADA

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Shamsunnahar Yasmin

Queensland University of Technology

AUSTRALIA

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Naveen Eluru

Professor

University of Central Florida

UNITED STATES

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Jiehong Lou

Assistant Research Professor

University of Maryland at College Park

UNITED STATES

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Shahrior Pervaz

University of Central Florida

UNITED STATES

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John Ivan

Professor

University of Connecticut

UNITED STATES

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Tanmoy Bhowmik

Research Interests

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About

Articles (19)

A maximum log-likelihood based data fusion model for estimating household’s vehicle purchase decision

Examining driver injury severity in motor vehicle crashes: A copula-based approach considering temporal heterogeneity in a developing country context

Exploring the Relationship Between COVID-19 Transmission and Population Mobility over Time

Comparing the Performance of Different Missing Data Imputation Approaches in Discrete Outcome Modeling

Predicting hurricane evacuation behavior synthesizing data from travel surveys and social media

A systematic unified approach for addressing temporal instability in road safety analysis

Accommodating spatio-temporal dependency in airline demand modeling

Implementation of a realistic artificial data generator for crash data generation

A novel maximum likelihood based probabilistic behavioral data fusion algorithm for modeling residential energy consumption

Evaluation of Freeway Demand in Florida during the COVID-19 Pandemic from a Spatiotemporal Perspective

Joint Econometric Model Framework for Transportation Network Company Users’ Trip Fare and Destination Choice Analysis

Enhanced Aggregate Framework to Model Crash Frequency by Accommodating Zero Crashes by Crash Type

Flight-Level Analysis of Departure Delay and Arrival Delay Using Copula-Based Joint Framework

Understanding the factors affecting airport level demand (arrivals and departures) using a novel modeling approach

Understanding Crash Risk Using a Multi-Level Random Parameter Binary Logit Model: Application to Naturalistic Driving Study Data

A comprehensive county level model to identify factors affecting hospital capacity and predict future hospital demand

Developing Efficiency Attributes for Right-Turn Flashing Yellow Arrow on Impeding through and Opposing Left Phases Using a Multinomial Logit Model

Exploring analytical, simulation-based, and hybrid model structures for multivariate crash frequency modeling

A comprehensive analysis of COVID-19 transmission and mortality rates at the county level in the United States considering socio-demographics, health indicators, mobility trends and health care infrastructure attributes

Collaborators (6)

mohamed H. zaki

Shamsunnahar Yasmin

Naveen Eluru

Jiehong Lou

Shahrior Pervaz

John Ivan

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