Identifying and testing the Operational Design Domain factors of Lane Keeping System at horizontal curves using PreScan

The European Commission has mandated the requirement of advanced safety features in all vehicles sold in the EU from 2022 onwards. This will help drivers get gradually used to ADS, eventually transitioning to fully autonomous driving in the distant future. There are more vehicles on road now equipped with lane-keeping systems and other driver...

Evaluation of lane change predictions for schedule-driven intersection control

Optimization of traffic signal control has been widely investigated by means of model-based strategies. In 2012 a new model-based controller was published, named Schedule-driven Intersection Control (SCHIC). This controller uses a job-scheduling algorithm to minimize the cumulative delay for all observed vehicles. The algorithms of SCHIC are at...

Capacity benefits of Virtual Coupling over ETCS L3 Moving Block in a realistic operational environment

As the demand for transport of goods and passengers increases, the capacity of railway networks is becoming more and more saturated. Railway infrastructure managers aim to increase the rail network capacity with the minimum possible investments in infrastructure. Next generation signalling concepts such as Moving Block (MB) and Virtual Coupling ...

Automated lane changing using deep reinforcement learning: a user-acceptance case study

Lane change decision-making is an important challenge for automated vehicles, urging the need for high performance algorithms that are able to handle complex traffic situations. Deep reinforcement learning (DRL), a machine learning method based on artificial neural networks, has recently become a popular choice for modelling the lane change...

MPC-based motion cueing algorithm for a 6 DOF driving simulator with actuator constraints

Driving simulators are widely used for understanding Human-Machine Interaction, driver behavior and driver training. The effectiveness of such simulators in this process depends largely on their ability to generate realistic motion cues. Though the conventional filter-based motion cueing strategies have provided reasonable results, these methods...

ACC target performance setting via NDS big data analysis

Advanced Driving Assistance Systems (ADAS) technologies like Adaptive Cruise Control (ACC) are becoming the normality for many users, and many major car manufacturers are introducing SAE level 2 and 3 automation systems into the market. The main advantage of Automated Vehicles (AV) will be the significant decrease in road accidents and...

Collision-free predictive trajectory generation for automated four-wheel-steered mini-buses

The autonomous transit market is on the rise. 2getthere is one of the lead suppliers of automated people moving systems, located in the Netherlands. Their vehicles can be classified as SAE level 4 automation (Highly Automated) vehicles. This thesis is concerned with the dynamic trajectory generation for 2getthere’s Group Rapid Transport (GRT)...