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Abolfazl (Kouros) Mohammadian
Abolfazl (Kouros) Mohammadian
Professor, Department of Civil, Materials, and Environmental Eng., University of Illinois Chicago
E-mail confirmado em uic.edu - Página inicial
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Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis
AB Parsa, A Movahedi, H Taghipour, S Derrible, AK Mohammadian
Accident Analysis & Prevention 136, 105405, 2020
7302020
How is COVID-19 reshaping activity-travel behavior? Evidence from a comprehensive survey in Chicago
A Shamshiripour, E Rahimi, R Shabanpour, AK Mohammadian
Transportation research interdisciplinary perspectives 7, 100216, 2020
6692020
Shared versus private mobility: Modeling public interest in autonomous vehicles accounting for latent attitudes
F Nazari, M Noruzoliaee, AK Mohammadian
Transportation Research Part C: Emerging Technologies 97, 456-477, 2018
2482018
Eliciting preferences for adoption of fully automated vehicles using best-worst analysis
R Shabanpour, N Golshani, A Shamshiripour, AK Mohammadian
Transportation research part C: emerging technologies 93, 463-478, 2018
2382018
Analysis of telecommuting behavior and impacts on travel demand and the environment
R Shabanpour, N Golshani, M Tayarani, J Auld, AK Mohammadian
Transportation Research Part D: Transport and Environment 62, 563-576, 2018
2092018
Real-time accident detection: Coping with imbalanced data
AB Parsa, H Taghipour, S Derrible, AK Mohammadian
Accident Analysis & Prevention 129, 202-210, 2019
1852019
Activity planning processes in the Agent-based Dynamic Activity Planning and Travel Scheduling (ADAPTS) model
J Auld, AK Mohammadian
Transportation Research Part A: Policy and Practice 46 (8), 1386-1403, 2012
1842012
An automated GPS-based prompted recall survey with learning algorithms
J Auld, C Williams, A Mohammadian, P Nelson
Transportation Letters 1 (1), 59-79, 2009
1722009
Framework for the development of the agent-based dynamic activity planning and travel scheduling (ADAPTS) model
J Auld, A Mohammadian
Transportation Letters 1 (3), 245-255, 2009
1602009
Modeling travel mode and timing decisions: Comparison of artificial neural networks and copula-based joint model
N Golshani, R Shabanpour, SM Mahmoudifard, S Derrible, ...
Travel Behaviour and Society 10, 21-32, 2018
1342018
Empirical investigation of household vehicle type choice decisions
A Mohammadian, EJ Miller
Transportation Research Record 1854 (1), 99-106, 2003
1312003
The potential stickiness of pandemic-induced behavior changes in the United States
D Salon, MW Conway, D Capasso da Silva, RS Chauhan, S Derrible, ...
Proceedings of the National Academy of Sciences 118 (27), e2106499118, 2021
1202021
Investigating the injury severity of single-vehicle truck crashes in a developing country
E Rahimi, A Shamshiripour, A Samimi, AK Mohammadian
Accident Analysis & Prevention 137, 105444, 2020
1112020
A behavioral housing search model: Two-stage hazard-based and multinomial logit approach to choice-set formation and location selection
TH Rashidi, J Auld, AK Mohammadian
Transportation Research Part A: Policy and Practice 46 (7), 1097-1107, 2012
1092012
Dynamic modeling of household automobile transactions
A Mohammadian, EJ Miller
Transportation Research Record 1831 (1), 98-105, 2003
1082003
A behavioral analysis of freight mode choice decisions
A Samimi, K Kawamura, A Mohammadian
Transportation planning and technology 34 (8), 857-869, 2011
1062011
Nested logit models and artificial neural networks for predicting household automobile choices: comparison of performance
A Mohammadian, EJ Miller
Transportation Research Record 1807 (1), 92-100, 2002
1012002
The Long-Term effects of COVID-19 on travel behavior in the United States: A panel study on work from home, mode choice, online shopping, and air travel
M Javadinasr, T Maggasy, M Mohammadi, K Mohammadain, E Rahimi, ...
Transportation research part F: traffic psychology and behaviour 90, 466-484, 2022
962022
An activity-based microsimulation model of travel demand in the Jakarta metropolitan area
S Yagi, AK Mohammadian
Journal of Choice Modelling 3 (1), 32-57, 2010
892010
Efficient methodology for generating synthetic populations with multiple control levels
J Auld, A Mohammadian
Transportation Research Record 2175 (1), 138-147, 2010
872010
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Artigos 1–20