Journal ArticleDOI
Car-following: a historical review
Mark Brackstone,Mike McDonald +1 more
TLDR
In this article, the authors assess the range of options available in the choice of car-following model, and assess just how far work has proceeded in our understanding of what, at times, would appear to be a simple process.Abstract:
In recent years, the topic of car-following has become of increased importance in traffic engineering and safety research. Models of this phenomenon, which describe the interaction between (typically) adjacent vehicles in the same lane, now form the cornerstone for many important areas of research including (a) simulation modelling, where the car-following model (amongst others) controls the motion of the vehicles in the network, and (b) the functional definition of advanced vehicle control and safety systems (AVCSS), which are being introduced as a driver safety aid in an effort to mimic driver behaviour but remove human error. Despite the importance of this area however, no overview of the models availability and validity exists. It is the intent of this paper therefore to briefly assess the range of options available in the choice of car-following model, and assess just how far work has proceeded in our understanding of what, at times, would appear to be a simple process.read more
Citations
More filters
Journal ArticleDOI
Traffic and related self-driven many-particle systems
Dirk Helbing,Dirk Helbing +1 more
TL;DR: This article considers the empirical data and then reviews the main approaches to modeling pedestrian and vehicle traffic, including microscopic (particle-based), mesoscopic (gas-kinetic), and macroscopic (fluid-dynamic) models.
Journal ArticleDOI
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
Nguyen Cong Luong,Dinh Thai Hoang,Shimin Gong,Dusit Niyato,Ping Wang,Ying-Chang Liang,Dong In Kim +6 more
TL;DR: This paper presents a comprehensive literature review on applications of deep reinforcement learning (DRL) in communications and networking, and presents applications of DRL for traffic routing, resource sharing, and data collection.
Journal ArticleDOI
Mobility models for vehicular ad hoc networks: a survey and taxonomy
TL;DR: An overview and taxonomy of a large range of mobility models available for vehicular ad hoc networks is proposed to provide readers with a guideline to easily understand and objectively compare the different models, and eventually identify the one required for their needs.
Journal ArticleDOI
Modeling cooperative and autonomous adaptive cruise control dynamic responses using experimental data
TL;DR: The Intelligent Driver Model (IDM) has been used for car-following modeling in this article to evaluate the performance of Adaptive Cruise Control (ACC) and Cooperative ACC (CACC) control systems.
Journal ArticleDOI
Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments
Raphael Stern,Shumo Cui,Maria Laura Delle Monache,Rahul Bhadani,Matt Bunting,Miles Churchill,Nathaniel Hamilton,R’mani Haulcy,Hannah Pohlmann,Fangyu Wu,Benedetto Piccoli,Benjamin Seibold,Jonathan Sprinkle,Daniel B. Work,Daniel B. Work +14 more
TL;DR: It is demonstrated experimentally that intelligent control of an autonomous vehicle is able to dampen stop-and-go waves that can arise even in the absence of geometric or lane changing triggers, suggesting a paradigm shift in traffic management.
References
More filters
Journal ArticleDOI
A theory of visual control of braking based on information about time-to-collision.
TL;DR: A mathematical analysis of the changing optic array at the driver's eye indicates that the simplest type of visual information, which would be sufficient for controlling braking and likely to be easily picked up by the driver, is information about time-to-collision, rather than information about distance, speed, or acceleration/deceleration.
Journal ArticleDOI
A behavioural car-following model for computer simulation
TL;DR: A new model is constructed for the response of the following vehicle based on the assumption that each driver sets limits to his desired braking and acceleration rates and it is shown that when realistic values are assigned to the parameters in a simulation, the model reproduces the characteristics of real traffic flow.
Journal ArticleDOI
Nonlinear Follow-the-Leader Models of Traffic Flow
TL;DR: A variety of nonlinear follow-the-leader models of traffic flow are discussed in this article in the light of available observational and experimental data, with emphasis placed on steady-state flow equations.
Journal ArticleDOI
Traffic Dynamics: Studies in Car Following
TL;DR: In this paper, the acceleration at time t of a car attempting to follow a leader is proportional to the difference in velocity of the two cars at a time t-Δ, Δ being about 1.5 sec and the proportionality constant being about 0.37 sec-1.
Journal ArticleDOI
An Operational Analysis of Traffic Dynamics
TL;DR: In this paper, the authors studied the dynamics of a line of traffic composed of n vehicles, where the movements of the vehicles are controlled by an idealized ''law of separation'' which specifies that each vehicle must maintain a certain prescribed following distance from the preceding vehicle.