يعرض 1 - 20 نتائج من 164 نتيجة بحث عن '"Afghari, Amir Pooyan"', وقت الاستعلام: 0.64s تنقيح النتائج
  1. 1
    Report
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    Academic Journal

    المساهمون: Roussou, Stella/0009-0002-3180-8291, Roussou, Stella, Michelaraki, Eva, Katrakazas, Christos, Afghari, Amir Pooyan, Al Haddad, Christelle, Alam, Md Rakibul, Antoniou, Constantinos, Papadimitriou, Eleonora, Brijs, Tom, Yannis, George

    وصف الملف: application/pdf

    Relation: European transport research review (Print), 16 (1) , p. 1170 -1173 (Art N° 40); http://hdl.handle.net/1942/43389; 1173; 1170; 16; 814761; WOS:001258081900001

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    المساهمون: RCIPL

    وصف الملف: application/pdf

    Relation: PILKINGTON-CHENEY, Fran; [et al] – The i-DREAMS intervention strategies to reduce driver fatigue and sleepiness for different transport modes. In 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS 2021). Heraklion, Greece: IEEE, 2021. ISBN 978-1-7281-8995-6. Pp. 1-6; 978-1-7281-8995-6

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    Academic Journal
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    Academic Journal
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    Academic Journal
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    Dissertation/ Thesis
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    Academic Journal

    المساهمون: Afghari, Amir Pooyan, Papadimitriou, Eleonora, Pilkington-Cheney, Fran, Filtness, Ashleigh, BRIJS, Tom, BRIJS, Kris, CUENEN, Ariane, DE VOS, Bart, DIRIX, Hélène, ROSS, Veerle, WETS, Geert, Lourenço, André, Rodrigues, Lourenço

    وصف الملف: application/pdf

    Relation: info:eu-repo/grantAgreement/EC/H2020/814761; Analytic Methods in Accident Research, 36 (Art N° 100241); http://hdl.handle.net/1942/37922; 100241; 36; 000858755500001

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    Academic Journal
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    Academic Journal

    المصدر: Travel Behaviour and Society

    وصف الملف: application/pdf

    Relation: https://eprints.qut.edu.au/212755/1/96917495.pdf; Kaye, Sherrie-Anne, Li, Xiaomeng, Oviedo-Trespalacios, Oscar, & Afghari, Amir Pooyan (2022) Getting in the path of the robot: Pedestrians' acceptance of crossing roads near fully automated vehicles. Travel Behaviour and Society, 26, pp. 1-8.; http://purl.org/au-research/grants/arc/DE200101079; https://eprints.qut.edu.au/212755/; Centre for Future Mobility/CARRSQ; Faculty of Health; School of Psychology & Counselling

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    Academic Journal
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    Academic Journal
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    Academic Journal

    المساهمون: U.S. Department of Transportation, United States Department of Transportation Research and Innovative Technology Administration

    المصدر: Transportation Research Part F: Traffic Psychology and Behaviour ; volume 103, page 306-318 ; ISSN 1369-8478

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    Academic Journal

    المصدر: Analytic Methods in Accident Research

    وصف الملف: application/pdf

    Relation: https://eprints.qut.edu.au/212586/8/96237362.pdf; Afghari, Amir Pooyan, Papadimitriou, Eleonora, Li, Xiaomeng, Kaye, Sherrie-Anne, & Oviedo-Trespalacios, Oscar (2021) How much should a pedestrian be fined for intentionally blocking a fully automated vehicle? A random parameters Beta hurdle model with heterogeneity in the variance of the Beta distribution. Analytic Methods in Accident Research, 32, Article number: 100186.; http://purl.org/au-research/grants/arc/DE200101079; https://eprints.qut.edu.au/212586/; Centre for Future Mobility/CARRSQ; Faculty of Health; School of Psychology & Counselling

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    Academic Journal
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    Academic Journal

    المصدر: Accident Analysis and Prevention

    وصف الملف: application/pdf

    Relation: https://eprints.qut.edu.au/201693/1/1_s2.0_S0001457519318391_main.pdf; Afghari, Amir Pooyan, Haque, Md Mazharul, & Washington, Simon (2020) Applying a joint model of crash count and crash severity to identify road segments with high risk of fatal and serious injury crashes. Accident Analysis and Prevention, 144, Article number: 105615.; https://eprints.qut.edu.au/201693/; Centre for Future Mobility/CARRSQ; Institute for Future Environments; Science & Engineering Faculty; School of Civil & Environmental Engineering; Faculty of Health; Centre for Tropical Crops and Biocommodities

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    Academic Journal

    المصدر: Accident Analysis and Prevention

    وصف الملف: application/pdf

    Relation: https://eprints.qut.edu.au/209112/1/76392812.pdf; Afghari, Amir Pooyan, Hezaveh, Amin Mohamadi, Haque, Md Mazharul, & Cherry, Christopher (2020) A home-based approach to understanding seatbelt use in single-occupant vehicles in Tennessee: Application of a latent class binary logit model. Accident Analysis and Prevention, 146, Article number: 105743.; https://eprints.qut.edu.au/209112/; Centre for Future Mobility/CARRSQ; Science & Engineering Faculty; School of Civil & Environmental Engineering; Faculty of Health

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    Book

    المصدر: Proceedings of the Annual Meeting the Transportation Research Board (TRB) 97th Annual Meeting

    وصف الملف: application/pdf

    Relation: https://eprints.qut.edu.au/117396/1/Afghari_Poster18_03202.pdf; Afghari, Amir Pooyan, Prato, Carlo, Washington, Simon, & Haque, Md. Mazharul (Shimul) (2018) Comparing latent variable approach with observation removal and imputation to dealing with missing data in count regression models. In Proceedings of the Annual Meeting the Transportation Research Board (TRB) 97th Annual Meeting. The Transportation Research Board (TRB), United States of America.; https://eprints.qut.edu.au/117396/; Science & Engineering Faculty

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    Academic Journal

    المصدر: Accident Analysis and Prevention

    وصف الملف: application/pdf

    Relation: https://eprints.qut.edu.au/129261/7/129261.pdf; Afghari, Amir Pooyan, Haque, Md. Mazharul (Shimul), Washington, Simon, & Smyth, Tanya (2019) Effects of globally obtained informative priors on Bayesian safety performance functions developed for Australian crash data. Accident Analysis and Prevention, 129, pp. 55-65.; http://purl.org/au-research/grants/arc/DP140101653; https://eprints.qut.edu.au/129261/; Science & Engineering Faculty

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    Academic Journal

    المصدر: Accident Analysis and Prevention

    وصف الملف: application/pdf

    Relation: https://eprints.qut.edu.au/130612/2/130612.pdf; Shaon, Mohammad Razaur Rahman, Qin, Xiao, Afghari, Amir Pooyan, Washington, Simon, & Haque, Md. Mazharul (Shimul) (2019) Incorporating behavioral variables into crash count prediction by severity: A multivariate multiple risk source approach. Accident Analysis and Prevention, 129, pp. 277-288.; https://eprints.qut.edu.au/130612/; Science & Engineering Faculty