Infrastructure design and safety
How can the road infrastructure design be self-explaining? Which infrastructural cues road users use, and which factors in the road environment dictate the behaviour of road users? How can we design infrastructure that can accommodate safely the future changes in the traffic mix (automated and non-automated road users)?
Relevant research
Relevant research:
Yongqi Dong: Data-driven research for expanding AVs’ operational design domain in mixed traffic
State-of-the-art deep learning models are being explored to develop reliable algorithms for peculiarities’ identification, recognition, and prediction for AVs’ interacting with infrastructure on different roads and traffic conditions and thus improve the safety of AVs in mixed traffic.
Solmaz Razmi Rad: Performance and safety evaluation of dedicated lanes for connected and automated vehicles
Dedicated lanes for CAVs have been proposed frequently as a potential scenario for the deployment of AVs on our road network. However, evidence based knowledge regarding the traffic safety and efficiency of different lane utilization policies resulting from the geometric design of DLs is very limited. This research evaluates the traffic safety and performance of different design configurations of dedicated lanes, taking into account driver behaviour in interaction with AVs.
Johan Vos: Driver expectations in freeway curve driving
This research with a focus on human factors aims to develop a behavioural model of drivers’ speed anticipation with respect to curves. This model could be the basis for a new design philosophy where freeway curves are designed based on speed choice by the driver, not on mechanical factors. This research aims to build a bridge between freeway design and human factors research. It will mainly focus on human factors methods to investigate driver behaviour.