Bahar Dadashova
Bahar Dadashova
Texas A&M Transportation Institute
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The identification of patterns of interurban road accident frequency and severity using road geometry and traffic indicators
B Dadashova, BA Ramírez, JM McWilliams, FA Izquierdo
Transportation research procedia 14, 4122-4129, 2016
Methodological development for selection of significant predictors explaining fatal road accidents
B Dadashova, B Arenas-Ramírez, J Mira-McWilliams, ...
Accident Analysis & Prevention 90, 82-94, 2016
Explanatory and prediction power of two macro models. An application to van-involved accidents in Spain
B Dadashova, BR Arenas, JMW Mira, FI Aparicio
Transport Policy 32, 203-217, 2014
Investigating the safety and operational benefits of mixed traffic environments with different automated vehicle market penetration rates in the proximity of a driveway on an …
SM Mousavi, OA Osman, D Lord, KK Dixon, B Dadashova
Accident Analysis & Prevention 152, 105982, 2021
Improving the amount and availability of pedestrian and bicyclist count data in Texas
SM Turner, RJ Benz, JG Hudson, GP Griffin, P Lasley, B Dadashova, ...
Texas A&M Transportation Institute, 2019
Can Autonomous vehicles enhance traffic safety at unsignalized intersections?
S Maryam Mousavi, D Lord, B Dadashova, S Reza Mousavi
International Conference on Transportation and Development 2020, 194-206, 2020
Rethinking highway safety analysis by leveraging crowdsourced waze data
X Li, B Dadashova, S Yu, Z Zhang
Sustainability 12 (23), 10127, 2020
Multivariate time series analysis of traffic congestion measures in urban areas as they relate to socioeconomic indicators
B Dadashova, X Li, S Turner, P Koeneman
Socio-Economic Planning Sciences 75, 100877, 2021
Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future research
S Sohrabi, A Khodadadi, SM Mousavi, B Dadashova, D Lord
Accident Analysis & Prevention 152, 106003, 2021
Estimation of average annual daily bicycle counts using crowdsourced strava data
B Dadashova, GP Griffin, S Das, S Turner, B Sherman
Transportation research record 2674 (11), 390-402, 2020
Random parameter models for estimating statewide daily bicycle counts using crowdsourced data
B Dadashova, GP Griffin
Transportation research part D: transport and environment 84, 102368, 2020
Analysis of crash injury severity on two trans-European transport network corridors in Spain using discrete-choice models and random forests
B Dadashova, B Arenas-Ramires, J Mira-McWillaims, K Dixon, D Lord
Traffic injury prevention 21 (3), 228-233, 2020
Familiar versus unfamiliar drivers on curves: naturalistic data study
MP Pratt, SR Geedipally, B Dadashova, L Wu, M Shirazi
Transportation research record 2673 (6), 225-235, 2019
Bayesian model selection of structural explanatory models: Application to roadaccident data
B Dadashova, B Arenas, J Mira, F Aparicio
Procedia-Social and Behavioral Sciences 160, 55-63, 2014
Exploring Crowdsourced Monitoring Data for Safety
S Turner, M Martin, G Griffin, M Le, S Das, R Wang, B Dadashova, X Li
Safety through Disruption (Safe-D) University Transportation Center (UTC), 2020
Guide for Seasonal Adjustment and Crowdsourced Data Scaling
B Dadashova, G Griffin, S Das, S Turner, M Graham
Dynamic statistical model selection: Application to traffic accident analysis in Spain
B Dadashova, BA Ramírez, JMM McWilliams, FA Izquierdo
Procedia-social and behavioral sciences 48, 642-652, 2012
Evaluation of Highway Safety Improvement Projects and Countermeasures: Technical Report
I Tsapakis, S Sharma, B Dadashova, S Geedipally, A Sanchez, M Le, ...
Safety evaluation for turnarounds at diamond interchanges: assessing the Texas U-turn
KK Dixon, RE Avelar, MS Dastgiri, B Dadashova
Transportation research record 2672 (17), 61-71, 2018
Approaches to Presenting External Factors with Operations Performance Measures
B Dadashova, P Lasley, P Koeneman, SM Turner
United States. Federal Highway Administration. Office of Operations, 2018
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