Lane-free Artificial-Fluid Concept for Vehicular Traffic

  title={Lane-free Artificial-Fluid Concept for Vehicular Traffic},
  author={Markos Papageorgiou and Kyriakos Simon Mountakis and Iasson Karafyllis and Ioannis Papamichail},
  journal={Proc. IEEE},
A novel paradigm for vehicular traffic in the era of connected and automated vehicles (CAVs) is proposed, which includes two combined principles: lane-free traffic and vehicle nudging, whereby vehicles are "pushing" (from a distance, using communication or sensors) other vehicles in front of them. This traffic paradigm features several advantages, including: smoother and safer driving; increase of roadway capacity; and no need for the anisotropy restriction. The proposed concept provides, for… 

Figures and Tables from this paper

Lane- Free Microscopic Simulation for Connected and Automated Vehicles

The ongoing development of the microscopic TrafficFluid-Sim simulator is presented, aimed primarily for Connected and Automated Vehicles (CAVs) under a novel lane-free traffic paradigm, and is an indispensable tool for the design, testing and evaluation of the characteristics of a future CAV traffic flow as an efficient artificial fluid.

Real-time internal boundary control of lane-free automated vehicle traffic

A recently proposed paradigm for vehicular traffic in the era of CAV (connected and automated vehicles), called TrafficFluid, involves lane-free vehicle movement and is formulated as a convex QP (Quadratic Programming) problem that may be solved efficiently.

Empirical Investigation of Properties of Lane-free Automated Vehicle Traffic

This paper presents and employs an ad-hoc vehicle movement strategy for Connected and Automated Vehicles (CAVs) driving in a lane-free environment, to investigate empirically (via simulation) some properties of the new traffic paradigm, such as the emerging fundamental diagram, traffic flow capacity, the impact of vehicle nudging, theimpact of road width and more.

Lane-Free Traffic: History and State of the Art

This paper overviews the available literature on the current non-lane based driving and future LFT, and details the current developments in LFT research and the underlying technologies.

Extending SUMO for Lane-Free Microscopic Simulation of Connected and Automated Vehicles

The various core components that constitute the TrafficFluid-Sim simulator are summarized, and the new capability to utilize the bicycle kinematic model, additionally to the usual double-integrator model, as a more realistic model of vehicle movement dynamics, particularly for a lane-free traffic environment is discussed.

Overlapping Internal Boundary Control of Lane-free Automated Vehicle Traffic with State and Input Inclusion *

Simulation investigations, involving a realistic highway stretch and demand scenario, demonstrate that the proposed decentralized regulator of lane-free automated vehicle traffic is similarly efficient as the centralized solutions.

Cooperative distributed control for lane-less and direction-less movement of autonomous vehicles on highway networks

This work develops a cooperative distributed control strategy for the movement of CAVs in such a futuristic environment with the twofold objective of providing safety in a microscopic (vehicle-to-vehicle) level and improve the traffic performance in a macroscopic (network) level.

Optimal Path Planning for Connected and Automated Vehicles in Lane-free Traffic with Vehicle Nudging

—The paper presents a movement strategy for Con- nected and Automated Vehicles (CAVs) in a lane-free traffic environment with vehicle nudging by use of an optimal control approach. State-dependent

Optimal Trajectory Planning for Connected and Automated Vehicles in Lane-free Traffic with Vehicle Nudging

—The paper presents a movement strategy for Con- nected and Automated Vehicles (CAVs) in a lane-free traffic environment with vehicle nudging by use of an optimal control approach. State-dependent



Efficient Driving on Multilane Roads Under a Connected Vehicle Environment

An efficient vehicle driving system, based on detailed anticipation of surrounding traffic, that aims at optimizing the driving performance of individual vehicles and smoothening traffic flows on multilane roads is presented.

A Microscopic Model for Lane-Less Traffic

It is verified that the proposed model, in addition to macroscopic patterns, can also accurately predict complex maneuvers, such as overtaking, sideways movements and avoiding collisions with slower moving vehicles.

Passenger car units and saturation flow models for highly heterogeneous traffic at urban signalised intersections

Signalisation is a traffic control strategy to ease the competition by providing right-of-way in a cyclic manner to conflicting traffic at intersections. Saturation flow is a major component in the

Highly Automated Driving on Freeways in Real Traffic Using a Probabilistic Framework

With this approach, the BMW Group Research and Technology managed to drive 100% automated in real traffic on the freeway A9 from Munich to Ingolstadt, showing a robust, comfortable, and safe driving behavior, even during multiple automated LC maneuvers.

Driving Behaviors: Models and Challenges for Non-Lane Based Mixed Traffic

Most published microscopic driving behavior models, such as car following and lane changing, were developed for homogeneous and lane-based settings. In the emerging and developing world, traffic is

Motorway Path Planning for Automated Road Vehicles Based on Optimal Control Methods

A path-planning algorithm for automated road vehicles on multi-lane motorways is derived from the opportune formulation of an optimal control problem and is readily executable within a model-predictive control frame.

Using front and back information for tight vehicle following maneuvers

During manual driving, most human drivers often use information about the speed and position of the preceding and following vehicles in order to adjust the position and speed of their vehicles. The

Review of road traffic control strategies

Traffic congestion in urban road and freeway networks leads to a strong degradation of the network infrastructure and accordingly reduced throughput, which can be countered via suitable control

Evolution of macroscopic models for modeling the heterogeneous traffic: an Indian perspective

The tradition through which the evolution of macroscopic modeling of heterogeneous traffic has happened does not account for some of the phenomena observed in the Indian road traffic, and one such phenomenon, side-by-side movement of motorized two-wheelers (TW), is explained and an idea of diminishing density is introduced, which would improve the usability of the existingheterogeneous traffic flow models in an Indian perspective.