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Dipl.-Ing. Md Azizur Rahman

Angestellt, Verkehrsingenieur, GEVAS software GmbH
Abschluss: M.Sc., TU München
Munich, Deutschland

Fähigkeiten und Kenntnisse

PTV VISSIM
PTV VISUM
SSAM
SPSS
MS Office
Modellierung und Simulation
Verkehrsflusssimulation
Verkehrssicherheit
Verkehrstechnik
Mobilitätslösungen
Verkehrsplanung
LISA+
Lichtsignalanlagen
CROSSIG
PT.project

Werdegang

Berufserfahrung von Md Azizur Rahman

  • Bis heute 5 Monate, seit Jan. 2025

    Verkehrsingenieur

    GEVAS software GmbH
  • 1 Jahr und 9 Monate, Apr. 2023 - Dez. 2024

    Wissenschaftlicher Miterbeiter

    TU Dresden

    Chair of Traffic Process Automation, Faculty of Transportation and Traffic Sciences "Friedrich List" Responsibilities: - Research Project: PrioBike, the Dresden Cyclist Green Wave project. - Conducting research on modeling, algorithm design, and testing, simulation development, and performance evaluation - Supporting the chair in administration - Engaging in teaching - Working on publications in peer-reviewed conferences and journals

  • 1 Jahr und 4 Monate, Sep. 2016 - Dez. 2017

    Lecturer

    Headway Engineering Institute

    Course contents: Microscopic traffic simulation, Travel demand modeling, Basic scenario modeling in PTV VISSIM, PTV VISUM

Ausbildung von Md Azizur Rahman

  • 10 Monate, Nov. 2021 - Aug. 2022

    Master's thesis

    TU München and Landeshauptstadt München

    Thesis title: Measures for Improving the Safety of Bicyclists at Signalized Intersections. Description: The main objective of this thesis is to investigate different bicycle safety measures in terms of both surrogate risk and perceived safety. To determine the surrogate risk and perceived safety, several bicycle safety measures are to be implemented one at a time and then evaluated from a pre-and post-analysis of video data using DataFromSky followed by an in-situ questionnaire survey.

  • 7 Monate, Okt. 2019 - Apr. 2020

    Study Project

    TU München

    Project Title: Analysis of vehicle trajectories for the quantification of critical urban driving scenarios. Project Description: The project investigates simulation-generated vehicle trajectories to determine potential crash situations in an urban area. Based on pre-defined crash types, driving situations, which may lead to each of the accident types shall be found and quantified. Tools: PTV VISSIM; Python; SSAM

  • 4 Jahre und 11 Monate, Okt. 2017 - Aug. 2022

    Environmental Engineering (Major in Traffic Engineering and Sustainable urban Mobility Planning)

    TU München

    Core Courses: ITS- System Architecture. Traffic Control Extension. Traffic Flow Models and Control Theory. Modeling Transport Related Emissions. Transport Demand Management Traffic Flow Simulation. Applied Traffic Engineering and Transportation Planning. Applied Transport Models.

  • 5 Jahre und 1 Monat, Juni 2011 - Juni 2016

    Civil Engineering

    Leading University

    Conducted my bachelor thesis on the integration of ArcGIS and statistical analysis to determine GW vulnerability. Various transportation planning and traffic engineering techniques were introduced in several courses over the semesters

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

  • Bangla

    -

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