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...

Image-Based Assessment of Road Network Readiness for Automated Driving: a Judgement Game

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

Mobility impacts of early forms of automated driving. A system dynamic approach

Modern cars are increasingly being equipped with automated driving functions. For governments it is important to gain insight in the mobility impacts of automated vehicles. This is important as the introduction of automated vehicles affects current investment decisions about infrastructure projects and other policy measures like road pricing....

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...

The impact of route guidance, departure time advice and alternative routes on door-to-door travel time reliability: Two data-driven assessment methods

Conventional travel time reliability assessment has evolved from road segments to the route level. However, a connection between origin and destination usually consists of multiple routes, thereby providing the option to choose. Having alternatives can compensate for the deterioration of a single route; therefore, this study assesses the...

Mobiliteitseffecten van vroege vormen van zelfrijdende auto’s – Een systeem dynamische benadering

Nieuwe auto’s worden steeds meer uitgerust met automatische functies. De eerste automodellen (level 1 en 2 volgens de indeling van SAE) zijn reeds in de winkel verkrijgbaar. Verdergaande vormen van automatisering (level 3 en verder) worden nu ontwikkeld. Om investeringsbeslissingen te maken is het voor overheden van belang inzicht te verkrijgen...

Audit LMS en NRM. Syntheserapport

In mei 2008 is door de toenmalige minister Eurlings (V&W) een onafhankelijke audit aangekondigd van het Nieuw Regionaal Model en het landelijk Model Systeem van Rijkswaterstaat. Beide modellen dienen ter ondersteuning van lange termijn beleidsbeslissingen op het gebied van Mobiliteit. In dit kader heeft Rijkswaterstaat aan TNO, MuConsult...