Category
Collaborator
Email
behnam.bahmankhah@ua.pt
Ciência ID
9014-C585-992D
ORCID iD
0000-0001-9621-8685

Behnam Bahmankhah got his PhD in the Doctoral Program in Mechanical Engineering in the University of Aveiro, in December 2019. The thesis subject was “Impact of motor vehicles-bicycles interaction on route selection, traffic performance, emissions and safety” which gained the unanimous approval of the jury. He published 12 articles in scientific international journals (8 articles in SCOPUS indexed journals), 1 book chapter, 16 conference papers in scientific international conferences and 14 national conferences in last 5 years.

The candidate interests area are: 1) Micromobilty mainly focused on pedestrian, bicycle and e-scooter; 3)Traffic modeling; 4) Real on-road emissions monitoring in different types of vehicles; 4) Traffic noise monitoring; 5) multi-objective analysis of traffic impacts; 6) Route selection considering the role of bicycle and e-scooter; 7) road safety simulation and data analysis

Working as a researcher during his PhD in some projects such as:

@CRUiSE: Advanced Impact Integration Platform for Cooperative Road Use

Main activities performed by the applicant:

- Preparing a comprehensive literature review, with the complete state-of-art considering impact of technology and environmental information on human behavior;

- Experimental design and set up for collecting the required data for the project such as vehicle/bicycle traffic volumes (using fixed and movable cameras), pedestrians, vehicle/bicycle dynamic data (using GPS), managing human resource and the necessary equipment;

- Traffic modeling (VISSIM), emissions (VSP) and road safety (SSAM);

- Preparing the report of the activities and results at end of each task for internal and group meetings.

MobiWise: From Mobile Sensing to Mobility Advising

Main activities performed by the applicant:

- Development of a systematic literature review and meta-analysis on methods for assessment of the correlation between the road emissions with car dynamic data and total seconds spent in each Vehicle Specific Power (VSP) modes in different type of the roads (with collaboration of TEMA, CISUC and IT teams);

- Experimental design and set up for collecting the required data for the project such as vehicle/bicycle traffic volumes (using fixed and movable cameras), pedestrians, vehicle/bicycle dynamic data (using GPS) and On-board diagnostics (OBD), traffic noise measurement, managing human resource and the necessary equipment;

- Experimental real time emissions monitoring using an Integrated Portable Emissions Monitoring System developed by 3DATX (iPEMS) and calibration of PEMS before each data collection.

- Traffic modeling (VISSIM), emissions (VSP), road safety (SSAM) and collaboration on Noise modeling for different roads (using RION-NL52 sound level meters for equivalent corridor noise level);

- Correlating FCD (link-based individual vehicles dynamic) with varying levels of traffic performance and VSP modes;

- Correlating several traffic conditions with pollution levels;

- Calibrate and validating the created integrated modeling framework.

The candidate is working as a PhD researcher in DICA-VE project currently:

DICA-VE: Driving Information in a Connected and Autonomous Vehicle Environment: Impacts on Safety and Emissions

Main activities performed by the applicant:

- Performing a technical literature review considering methodology specifications to assess, not only the state of art in CAV technologies, as the latest breakthrough in driving behavior that influence safety and emissions;

- Collaboration in development of a real time Markov Decision Process (MDP)

- Collaboration in development of computational algorithms for predicting immediate driver actions using information about position (latitude, longitude and elevation) and motion (speed and acceleration) via wireless communications.

- Experimental design and set up for collecting the required data for the project such as pedestrian/vehicle/bicycle/e-scooter and managing human

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