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ECTRI TG Traffic Management & Modelling Webinar #8
October 6, 2022 @ 1:00 pm - 2:10 pm
The eighth webinar of the ECTRI TG on Traffic Management & Modelling was held on October 6 2022 from 13:00 to 14:10 CET.
Ivan Postigo [VTI / TU Delft]
Modeling Automated driving in microscopic traffic simulation for traffic performance evaluations: Aspects to consider and state of the practice.
Six important aspects to consider for modeling automated driving in microscopic traffic simulation are proposed in this work. The role of authorities, the role of users, the vehicle system, the perception of surroundings based on the vehicle’s sensors, the vehicle connectivity features, and the role of the infrastructure both physical and digital. We motivate and discuss why each aspect could determine how automated vehicles operate, and therefore, why considerations regarding each aspect need to be taken into account in models for automated driving in microscopic traffic simulations. Furthermore, the state of the practice, research gaps and research directions in relation to these aspects are identified for the development of more realistic microscopic models for automated driving. This will benefit transparency and quality of traffic performance impact assessment of scenarios with mixed traffic and vehicles at different levels of driving automation.
Published in IEEE T-ITS (Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations : Aspects to Consider and State of the Practice (diva-portal.org)
Elina Aittoniemi [VTT]
Study on the efficiency and environmental impact assessment for Level 3 automated driving on European motorways
The study assessed the potential impacts, arising from changes to driving behaviour (in terms of vehicle motion control and desired time gap), with introduction of conditionally automated vehicles on the European motorway network. Effects in representative conditions (in terms of speed limit, traffic volume, fleet composition) were estimated with microsimulation using Vissim and results scaled up to the European network by utilising extensive data on the motorway network, traffic volumes and weather conditions. The study was part of the L3Pilot project, co-funded by the European Horizon 2020 programme.