Print Email Facebook Twitter Safety of Automated Driving in Mixed-Traffic Urban Areas Title Safety of Automated Driving in Mixed-Traffic Urban Areas: Considering Vulnerable Road Users and Network Efficiency Author Pauwels, Alex (TU Delft Mechanical, Maritime and Materials Engineering; TU Delft Transport Engineering and Logistics) Contributor Schulte, F. (mentor) Pourmohammadzia, N. (mentor) Moore, J.K. (graduation committee) Negenborn, R.R. (graduation committee) Degree granting institution Delft University of Technology Programme Mechanical Engineering | Transport Engineering and Logistics Date 2021-01-27 Abstract The establishment of areas for safe automated driving in mixed-traffic settings is one major barrier in the development and adoption of Autonomous Vehicles (AVs). This work investigates safety in the interactions between AVs, human-driven vehicles, and vulnerable road users such as cyclists and pedestrians in a simulated urban environment in the Dutch city of Rotterdam. Proposing new junction and pedestrian models, virtual AVs with an occlusion aware driving system are deployed to deliver cargo autonomously. Assessing the impact of various measures, including V2V, V2I, V2X communications, infrastructure modifications, and driving behavior, we show that traffic safety and network efficiency can be achieved in a living lab setting for the considered case. Our findings further suggest that V2X gets implemented, new buildings are not placed close to intersections, and the speed limit of non-arterial roads is lowered. Subject Autonomous VehiclesSafetyMicroscopic SimulationOcclusion Aware DrivingVulnerable Road UsersNetwork Efficiency To reference this document use: http://resolver.tudelft.nl/uuid:378f365f-5f7f-4271-8559-eb2571228b68 Part of collection Student theses Document type master thesis Rights © 2021 Alex Pauwels Files PDF GraduationProject_A.J.Pau ... _final.pdf 8.24 MB Close viewer /islandora/object/uuid:378f365f-5f7f-4271-8559-eb2571228b68/datastream/OBJ/view