scholarly journals Generation of Complex Road Networks Using a Simplified Logical Description for the Validation of Automated Vehicles

2020 ◽  
Author(s):  
Daniel Becker ◽  
Fabian Rus ◽  
Christian Geller ◽  
Lutz Eckstein
Keyword(s):  
Road Networks ◽  
Automated Vehicles ◽  
Logical Description

Development of Traffic-Based Congestion Pricing and Its Application to Automated Vehicles

2019 ◽  
Vol 2673 (6) ◽  
pp. 536-547 ◽  
Author(s):  
Jooyong Lee ◽  
Kara M. Kockelman
Keyword(s):  
Travel Time ◽  
Traffic Management ◽  
Congestion Pricing ◽  
Road Networks ◽  
Automated Vehicles ◽  
Improved Outcomes ◽  
Management Techniques ◽  
Net Benefits ◽  
Road Segments

Improved traffic management techniques are needed to reduce congestion on road networks, especially as “driving” is made easier, through self-driving vehicles. In this paper, reactive congestion pricing varies toll rates based on recent congestion levels, and automated vehicles are added to the conventional traffic mix for evaluation of evolving travel conditions. As expected, drivers with higher values of travel time (VOTT) are more likely to use the tolled route than drivers with lower VOTT, and tolled-route speeds rose (about 4%) while speeds on non-tolled road segments fell (about 15%). Thanks to traveler sorting, net benefits exceeded $600 per hour in all scenarios, using a very small (toy) network. Toll revenues can be distributed uniformly among travelers (resulting in credit-based congestion pricing) or invested in improving bottlenecks and alternative modes. Rising shares of automated vehicles (from 0% to 50% and 100%) also improved outcomes.

scholarly journals “Everything Somewhere” or “Something Everywhere”: Examining the Implications of Automated Vehicles’ Deployment Strategies

2021 ◽  
Vol 13 (17) ◽  
pp. 9750
Author(s):  
Pavlos Tafidis ◽  
Haneen Farah ◽  
Tom Brijs ◽  
Ali Pirdavani
Keyword(s):  
Urban Areas ◽  
New Technology ◽  
Road Networks ◽  
Future Generation ◽  
Common Type ◽  
Automated Vehicles ◽  
The Road ◽  
Traffic Performance ◽  
Physical Infrastructure ◽  
Significant Research

“Everything somewhere” or “something everywhere” is the classic dilemma concerning the development and implementation of the future generation of vehicles, i.e., automated vehicles (AVs). Both strategies include diverse policy options that could significantly impact road networks’ planning, design, operation, and utilization. Until now, no significant research has been conducted concerning their implications. In this paper, we aim to examine how ready the current physical infrastructure is by identifying the requirements of each strategy and then applying them in a common type of intersection. The study’s findings demonstrate that AVs’ performance can be affected by policy implementation decisions and adds further weight to the argument of AVs separation or no-separation from no-AVs traffic. Furthermore, the insignificant improvements in traffic performance imply the low readiness of the current road networks in urban areas to accommodate the new technology. This study contributes to determining that research on the readiness of the road infrastructure and the deployment of AVs in urban areas is inevitable. It also identifies that roads’ geometric design can dramatically affect AVs’ operation and the difficulties of implementing dedicated lanes in urban areas due to space availability.

scholarly journals Optimizing Road Networks for Automated Vehicles with Dedicated Links, Dedicated Lanes, and Mixed-Traffic Subnetworks

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Bahman Madadi ◽  
Rob Van Nes ◽  
Maaike Snelder ◽  
Bart Van Arem
Keyword(s):  
Large Scale ◽  
Transition Period ◽  
Road Networks ◽  
Network Design Problem ◽  
Metropolitan Region ◽  
Mathematical Framework ◽  
Mixed Traffic ◽  
Automated Vehicles ◽  
Network Topologies ◽  
Full Automation

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 far. We utilize both alternatives and propose a unified mathematical framework for optimizing road networks for AVs by simultaneous deployment of AV-ready subnetworks for mixed traffic, dedicated AV links, and dedicated AV lanes. We model the problem as a bilevel network design problem where the upper level represents road infrastructure adjustment decisions to deploy these concepts and the lower level includes a network equilibrium model representing the flows as a result of the travelers’ response to new network topologies. An efficient heuristic solution method is introduced to solve the formulated problem and find coherent network topologies. Applicability of the model on real road networks is demonstrated using a large-scale case study of the Amsterdam metropolitan region. Our results indicate that for low AV market penetration rates (MPRs), AV-ready subnetworks, which accommodate AVs in mixed traffic, are the most efficient configuration. However, after 30% MPR, dedicated AV lanes prove to be more beneficial. Additionally, road types can dictate the viable deployment plan for certain parts of road networks. These insights can be used to guide planners in developing their strategies regarding road network infrastructure during the transition period to full automation.

Automated Vehicles Questionnaire

2018 ◽  
Author(s):  
Timo Liljamo ◽  
Heikki Liimatainen ◽  
Markus Pöllänen
Keyword(s):  
Automated Vehicles
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