Optimizing road networks for automated vehicles with dedicated links, dedicated lanes,andmixed-trafficsubnetworks

This study focuses on network configurations to accommodate automated vehicles (AVs) on road networks during the transition period to full automation. The literature suggests that dedicated infrastructure for AVs and enhanced infrastructure for mixed traffic (i.e., AVs on the same lanes with conventional vehicles) are the main alternatives so...

Multi-stage optimal design of road networks for automated vehicles with elastic multi-class demand

With the advent of automated vehicles (AVs), new infrastructure planning concepts such as subnetworks of AV ready roads have been proposed to improve the performance of transportation networks and to promote the adoption of AVs. However, these subnetworks should evolve over time in response to the growing AV demand, which necessitates a multi...

Multi-stage Optimal Design of Subnetworks for Automated Vehicles with Elastic Multiclass Demand. Abstract

Assessing the travel impact of subnetworks for automated driving: An exploratory study

This study explores a network configuration concept for vehicle automation levels 3–4 (according to SAE classifications) in an urban road network having mixed traffic and demonstrates its potential impacts. We assume automated driving will be allowed on a selection of roads. For the remaining roads, manual driving (although supported by...

A bi-level model to optimize road networks for a mixture of manual and automated driving: an evolutionary local search algorithm

This paper presents a bi-level model to optimize automated-vehicle-friendly subnetworks in urban road networks and an efficient algorithm to solve the model, which is relevant for the transition period with vehicles of different automation levels. We formulate the problem as a network design problem, define solution requirements, present an...

Scenario-based Infrastructure Requirements for Automated Driving

Current road infrastructure is designed for human drivers, and may be unable to deal with the integration of highly automated vehicles. The aim of this paper is to explore potential infrastructure requirements for automated driving SAE Level 4. To cope with the wide range of uncertainties involved, a scenario-based approach was used to define...