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Open AccessJournal ArticleDOI

Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives

TLDR
This survey systematically and comprehensively reviews the existing AV-involved traffic flow models with different levels of details, and examines the relationship among the design of AV-based driving strategies, the management of transportation systems, and the resulting traffic dynamics.
Abstract
Automated vehicles (AVs) are widely considered to play a crucial role in future transportation systems because of their speculated capabilities in improving road safety, saving energy consumption, reducing vehicle emissions, increasing road capacity, and stabilizing traffic. To materialize these widely expected potentials of AVs, a sound understanding of AVs’ impacts on traffic flow is essential. Not surprisingly, despite the relatively short history of AVs, there have been numerous studies in the literature focusing on understanding and modeling various aspects of AV-involved traffic flow and significant progresses have already been made. To understand the recent development and ultimately inspire new research ideas on this important topic, this survey systematically and comprehensively reviews the existing AV-involved traffic flow models with different levels of details, and examines the relationship among the design of AV-based driving strategies, the management of transportation systems, and the resulting traffic dynamics. The pros and cons of the existing models and approaches are critically discussed, and future research directions are also provided.

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Journal Article

Recent developments and research needs in modeling lane changing

TL;DR: In this article, the major lane changing models in the literature are categorized into two groups: models that capture the lane changing decision-making process, and models that aim to quantify the impact of lane changing behavior on surrounding vehicles.
Journal ArticleDOI

Resilient and Safe Platooning Control of Connected Automated Vehicles Against Intermittent Denial-of-Service Attacks

TL;DR: In this article , a resilient and safe distributed longitudinal platooning control law is constructed with an aim to preserve simultaneous individual vehicle stability, attack resilience, platoon safety and scalability, under which the platoon resilience against DoS attacks can be maximized but the anticipated stability and safety requirements remain preserved.
Journal ArticleDOI

Analysis of cooperative driving strategies at road network level with macroscopic fundamental diagram

TL;DR: In this paper , different cooperative driving strategies are investigated in a systematic and comprehensive way, and the authors find that the passing order has a dominant impact on the network traffic efficiency, and a better order can significantly raise the curve of the macroscopic fundamental diagram (MFD).
Journal ArticleDOI

Resilient and Safe Platooning Control of Connected Automated Vehicles Against Intermittent Denial-of-Service Attacks

TL;DR: In this paper , a resilient and safe distributed longitudinal platooning control law is constructed with an aim to preserve simultaneous individual vehicle stability, attack resilience, platoon safety and scalability, under which the platoon resilience against DoS attacks can be maximized but the anticipated stability and safety requirements remain preserved.
Journal ArticleDOI

Connected and automated vehicle platoon maintenance under communication failures

TL;DR: In this paper , a dynamic communication topology-based CAV-following model is proposed to mitigate the impact of communication failures on platoons, and an adaptive Kalman filter (AKF) method is applied to reduce perceptual error.
References
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Journal ArticleDOI

Congested traffic states in empirical observations and microscopic simulations

TL;DR: It is shown that the results of the microscopic model can be understood by formulating the theoretical phase diagram for bottlenecks in a more general way, and a local drop of the road capacity induced by parameter variations has essentially the same effect as an on-ramp.

Transportation Research Board

Max S. Baucus
TL;DR: Wu et al. as discussed by the authors published more than 1000 papers from TRR journals beginning with volume 2141 and more than 700 papers from the TRR journal volumes 2090 starting with volume 2090.
Journal ArticleDOI

Dynamical model of traffic congestion and numerical simulation

TL;DR: In this model, the legal velocity function is introduced, which is a function of the headway of the preceding vehicle, and the evolution of traffic congestion is observed with the development of time.
Journal ArticleDOI

Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations

TL;DR: In this article, the authors proposed a nationally recognized licensing framework for AVs, determining appropriate standards for liability, security, and data privacy, which can be used to improve vehicle safety, congestion, and travel behavior.

Preparing a Nation for Autonomous Vehicles: Opportunities, Barriers and Policy Recommendations

TL;DR: In this paper, the authors proposed a nationally recognized licensing framework for AVs, determining appropriate standards for liability, security, and data privacy for personal travel in the United States, which is based on the work of the authors of this paper.
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