Bahman Madadi
  • Bio
  • GREENSHIFT
  • Papers
  • Talks
  • Supervision
  • Courses
  • Experience
  • Skills
  • GREENSHIFT
  • Publications
    • A Discrete Event Simulation of Teleoperated Driving in Road Freight Transport: The Fleet Sizing Problem
    • Scenarios of automated driving based on a switchboard for driving forces - an application to the Netherlands
    • A hybrid deep-learning-metaheuristic framework for bi-level network design problems
    • Design and Optimization of Road Networks for Automated Vehicles
    • Multi-stage optimal design of road networks for automated vehicles with elastic multi-class demand
    • Optimizing Road Networks for Automated Vehicles with Dedicated Links, Dedicated Lanes, and Mixed-Traffic Subnetworks
    • A bi-level model to optimize road networks for a mixture of manual and automated driving: An evolutionary local search algorithm
    • A stochastic approximation approach to spatio-temporal anchorage planning with multiple objectives
    • Assessing the travel impacts of subnetworks for automated driving: An exploratory study
  • Publications-Archives
    • Infrastructure Readiness for Connected and Automated Driving - A Perspective
    • Exploring Artifacts Availability in Transportation Research Using Large Language Models
    • Exploring Artifacts Availability in Transportation Research Using Large Language Models
    • An Agent-Based Discrete Event Simulation of Teleoperated Driving in Freight Transport Operations: The Fleet Sizing Problem
    • Digital Road Operations
    • Level of Service Definitions: Deliverable D3
    • Review and Evaluation of NRAs: Deliverable D2
    • Stakeholder Engagement Report: Deliverable D1
    • A connected and automated vehicle readiness framework to support road authorities for C-ITS services
    • Optimizing the Bridge Maintenance Schedule of Transportation Networks under Uncertainty: A Simheuristic Approach Considering Reliability
    • A hybrid deep-learning-metaheuristic framework to approximate discrete road network design problems
    • Een ZRA-vriendelijk wegennetwerk
    • Report on Impacts of Vehicle Automation
    • Inschatten van de voordelen van Teleoperatie van Trucks door logistiek dienstverleners
    • Meerwaarde en impact van teleoperatie in het wegvervoer
    • Tele-operated driving in logistics as a transition to full automation: An exploratory study and research agenda
    • 5G-Blueprint D3.1: Business cases and initial value network
    • Scenario-based Infrastructure Requirements for Automated Driving
    • Assessing the Impacts of Automated Driving: A Fleet Management Perspective
    • Image-based assessment of road network readiness for automated driving
  • Recent Talks
    • A Framework for Road Authorities to Assess Their Readiness to Support Connected and Automated Driving
    • Exploring Artifacts Availability in Transportation Research Using Large Language Models
    • Explainable Graph neural networks for traffic assignment and road network design
    • A hybrid deep-learning-metaheuristic framework for bi-level network design problems
    • A connected and automated vehicle readiness framework to support road authorities for C-ITS services
    • Optimizing the Bridge Maintenance Schedule of Transportation Networks under Uncertainty
    • The Future of Digital Roads for Connected and Automated Driving
    • Image-based assessment of road network readiness for automated driving
    • Tele-operated driving in logistics as a transition to full automation
    • Multi-stage optimal design of road networks for automated vehicles with elastic multi-class demand
    • Scenario-based Infrastructure Requirements for Automated Driving
    • Optimizing Road Networks for Automated Vehicles
    • Network design and impacts of automated driving: An explorative study
  • Courses
    • DLDNA
    • DOTNET
  • Experience
  • PhD Supervision
  • Search
  • Skills & Training

Scenario-based Infrastructure Requirements for Automated Driving

Jul 1, 2019·
X Lu
Bahman Madadi
Bahman Madadi
,
H Farah
,
M Snelder
,
J a Annema
,
B v Arem
· 1 min read
DOI

Scenario-based approach to determining infrastructure requirements for automated driving deployment.

Last updated on Jul 1, 2019
Bahman Madadi
Authors
Bahman Madadi (he/him)
Assistant Professor
← 5G-Blueprint D3.1: Business cases and initial value network May 1, 2021
Assessing the Impacts of Automated Driving: A Fleet Management Perspective Jan 1, 2018 →

© 2026 Bahman Madadi. This work is licensed under CC BY NC ND 4.0

Made with Hugo Blox — Open Source. Build yours →