Negar Azarasa
© Sven Ellger | TUD
Name
Negar Azarasa M.Sc.
Doktorandin
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Organisationsname
Professur für Verkehrsökologie
Professur für Verkehrsökologie
Forschungsthemen und Arbeitsschwerpunkte
- Sauberer Verkehr und Big Data Analyse von Remote Sensing Emissionsdaten
- Maschinelles Lernen
Forschungsprojekte
Aktuelle Projekte
- Promotionsprojekt: Machine Learning Approaches for High-Emitter Detection in Vehicle Emission Data
Publikationen
Wissenschaftliche Paper
- Taheri, A., Azarasa, N., Iranmanesh, M., Seyedabrishami, S.E., O'Hern, S., Lord, D., The influences of strict and post-strict lockdowns due to the Covid-19 pandemic on crash severity on rural roads: A case study of Khorasan Razavi, Iran, Transportation Research Part F: Traffic Psychology and Behaviour, Volume 97, 2023, Pages 231-245, ISSN 1369-8478, https://doi.org/10.1016/j.trf.2023.07.014
- Norouzi, S., Azarasa, N., Abedi, M., Mokari, N., Seyedabrishami, S.E., Saeedi, H., Jorswieck, E.A., Radio resource management and path planning in intelligent transportation systems via reinforcement learning for environmental sustainability, Innovation and Technological Advances for Sustainability, 2024, http://dx.doi.org/10.1201/9781003496724-45
Konferenzbeiträge
- Azarasa, N., Seyedabrishami, S.E., Real-time Crash Prediction Model Based on Traffic Data in Rural Road Network, International Congress on Civil Engineering (13ICCE), 2023