Subasish Das

Texas A&M University Transportation Institute

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (29)

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Collaborators (11)

Ipek Sener

Texas A&M University Transportation Institute

UNITED STATES

View details

F. Benjamin Zhan

Texas State University

UNITED STATES

View details

Stephanie German Paal

Texas A&M University

UNITED STATES

View details

Ahmed Hossain

University of Louisiana at Lafayette

UNITED STATES

View details

Dayong Wu

UNITED STATES

View details

Pieter van Gelder

Professor of Safety Science

TU Delft

NETHERLANDS

View details

Reuben Tamakloe

Research Professor

Korea Advanced Institute of Science and Technology

SOUTH KOREA

View details

Bahar Dadashova

Texas A&M University Transportation Institute

UNITED STATES

View details

Md Nasim Khan

Texas State University

UNITED STATES

View details

Eleonora Papadimitriou

Delft University of Technology

NETHERLANDS

View details

Dongjoo Park

Professor

Seoul National University

SOUTH KOREA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Subasish Das

Research Interests

Explore related searches

Contact this professor

Articles (29)

A Survey on Kolmogorov-Arnold Network

Integrating Empirical and Subjective Evidence on Young Drivers’ Risk Perceptions and Crash Factors

COVID-19 Era Crash Fatality/Severe Injury and Proven Speed–Crash Relations

Impact of lighting conditions on nighttime crash severity among older and elderly drivers

Uncovering Individual Heterogeneity in Pedestrian Crash Severity with Mixed Logit Models: A Louisiana Case Study

Assessing risk factors in ambulance-involved collisions: understanding the impact of COVID-19 pandemic

Clustering patterns of roadway departure related motorcycle crashes using dimension reduction analysis

Identifying patterns in backing maneuver crashes utilizing differential evolution optimization algorithm

Applying hybrid dimension reduction and econometric model to investigate rider behaviors in roadway departure motorcycle crashes

The autopilot paradox: public perception of sleeping while driving semi-automated cars

Spatial analysis of geographical disparities in pedestrian safety

Association Patterns of Work Zone Crashes using Bayesian Network

Using Perceptual Cycle Model and Text Mining to Investigate Ambulance Traffic Crashes

Unconstrained and partially constrained temporal modelling of pedestrian injury severities

Automating Pedestrian Crash Typology Using Transformer Models

Uncovering pedestrian midblock crash severity patterns using association rules mining

Crash Contributing Factors and Patterns Associated with Fatal Truck-Involved Crashes in Bangladesh: Findings from the Text Mining Approach

Investigating older driver crashes on high-speed roadway segments: a hybrid approach with extreme gradient boosting and random parameter model

Exploring Attribute Associations in Pedestrian-Involved Hit-and-Run Crashes through Cluster Correspondence Analysis

Exploring the Influence of Signal Countdown Timers on Driver Behavior: An Analysis of Pedestrian–Vehicle Conflicts at Signalized Intersections

Exploring the Shared Use Pathway: A Review of the Design and Demand Estimation Approaches

Analyzing the time-varying patterns of contributing factors in work zone-related crashes

Probing into Driver Speeding Patterns and Their Influence on Child Occupancy in Urban Areas

Applying Few-Shot Learning in Classifying Pedestrian Crash Typing

Case Study on the Traffic Collision Patterns of E-Scooter Riders

Key factors affecting motorcycle-barrier crash severity: an innovative cluster-regression technique

Pattern recognition from injury severity types of frontage roadway crashes

Classifying Pedestrian Maneuver Types Using the Advanced Language Model

Diagnosis of Encroachment-Related Work-Zone Crashes by Applying Pattern Recognition

Collaborators (11)

Ipek Sener

F. Benjamin Zhan

Stephanie German Paal

Ahmed Hossain

Dayong Wu

Pieter van Gelder

Reuben Tamakloe

Bahar Dadashova

Md Nasim Khan

Eleonora Papadimitriou

Dongjoo Park

Make your next move.