Cooperative Shock Waves Mitigation in Mixed Traffic Flow Environment

Vaio, Marco Di; Fiengo, Giovanni; Petrillo, Alberto; Salvi, Alessandro; Santini, Stefania; Tufo, Manuela

doi:10.1109/tits.2018.2883485

Cited by 83 publications

(59 citation statements)

References 61 publications

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“…1 -System Objectives: among the compared systems, three main purposes stand out: minimising travel time (Agarwal and Paruchuri, 2016), reducing energy consumption and pollution (Pulter et al, 2011) and smooth driving (Di Vaio et al, 2019). It should be noted, that these issues are not independent.…”

Section: Criteria Of Comparisonmentioning

confidence: 99%

“…A shock wave is often the result of intense actions such as emergency braking and it results in slowdowns and an increase of traffic density. (Di Vaio et al, 2019) propose a control strategy with MAS in which CAVs coexist with non autonomous vehicles, both being connected. CAV agents use the exchanged data to adapt their speed and to be informed as quickly as possible about the actions of others.…”

Section: Reduce Shock Waves Using Communicationsmentioning

confidence: 99%

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Management of Intelligent Vehicles: Comparison and Analysis

Marcillaud

Camps

Combettes

et al. 2020

Proceedings of the 12th International Conference on Agents and Artificial Intelligence

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The main purpose of Connected and Autonomous Vehicles (CAVs) is to ensure optimal safety while improving user comfort. Many studies address the problem of CAVs to improve specific driving situations (intersection management, traffic flow management, etc.). In this paper, we propose both a comparison of these systems according to a set of criteria and an analysis to assist the development of CAVs fleets. This analysis shows that, among other, the ad-hoc algorithms use similar data (position, speed, etc.) and that the decisions for vehicles are based on cooperative processing for specific situations. The objective of this paper is to provide a guide for the design of CAVs fleet capable of managing all traffic situations. analysis, a guideline for a CAVs fleet capable of managing all road situations is proposed. The paper is organised as follow: section 2 defines the requirements and criteria required. Then, sections 3 to 5 describe existing CAV fleet dedicated to each traffic situation and analyse them based on the previously defined criteria. section 6 presents the synthesis of all the studied system. Before concluding, section 7 proposes a guideline for designing a robust CAV fleet. 2 REQUIREMENTS OF A CAVs FLEET As a driver, a human or an ADS, has the duty to ensure safety of all passengers. We assume that this point is covered in all the studied systems. The comparison is based on the situations addressed in these systems. Multiple criteria such as the purpose of the system, the traffic mix, and the volume of communications are used to study them. 2.1 Focus on the Addressed Situations During a journey, a vehicle can encounter many different situations such as: (i) traffic congestion, (ii) intersections and (iii) lane merging. These three situations are focused in the current research works.

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Section: Criteria Of Comparisonmentioning

confidence: 99%

Section: Reduce Shock Waves Using Communicationsmentioning

confidence: 99%

Management of Intelligent Vehicles: Comparison and Analysis

Marcillaud

Camps

Combettes

et al. 2020

Proceedings of the 12th International Conference on Agents and Artificial Intelligence

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show abstract

“…Recently, some notable studies have focused on the stability analysis of AVs considering the vehicle system delays. Some studies analysed the effect of sensor delay [7, 8], actuator lag delay [6, 9], and both the two delays [4, 10] on the string stability for AVs. However, few studies have considered the impact of the model gain parameter on traffic stability [11] and the own string stability realised by the feasible control parameters.…”

Section: Introductionmentioning

confidence: 99%

“…The control strategies are easily applied in a pure CAVs environment. For mixed traffic, it is implemented by assuming non‐CAVs broadcast the state information [8, 12, 16, 17]. Moreover, these studies employed the stability criteria of head‐to‐tail string stability, due to the string stability has rigid criteria for the mixed traffic [18, 19].…”

Section: Introductionmentioning

confidence: 99%

Cooperative control strategies to stabilise the freeway mixed traffic stability and improve traffic throughput in an intelligent roadside system environment

Zheng

Zhang

Ran

et al. 2020

IET Intelligent Transport Systems

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“…Many real systems in nature and human society can be modeled as MAS and many researchers, inspired by natural occurrence of flocking and formation forming, have focused their work on synchronization, consensus and coordination of these latter [32], i.e., in controlling the whole network in order to produce a common behavior by applying distributed algorithms and to guarantee a smart group behavior. Examples in engineering deal with the coordinated motion of autonomous vehicles [33][34][35], the phase or frequency synchronization in large power grids [36], and the synchronization of wireless sensor networks [37].…”

Section: Introductionmentioning

confidence: 99%

A Decentralized Architecture Based on Cooperative Dynamic Agents for Online Voltage Regulation in Smart Grids

et al. 2019

Self Cite

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The large-scale integration of renewable power generators in power grids may cause complex technical issues, which could hinder their hosting capacity. In this context, the mitigation of the grid voltage fluctuations represents one of the main issues to address. Although different control paradigms, based on both local and global computing, could be deployed for online voltage regulation in active power networks, the identification of the most effective approach, which is influenced by the available computing resources, and the required control performance, is still an open problem. To face this issue, in this paper, the mathematical backbone, the expected performance, and the architectural requirements of a novel decentralized control paradigm based on dynamic agents are analyzed. Detailed simulation results obtained in a realistic case study are presented and discussed to prove the effectiveness and the robustness of the proposed method.

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Cooperative Shock Waves Mitigation in Mixed Traffic Flow Environment

Cited by 83 publications

References 61 publications

Management of Intelligent Vehicles: Comparison and Analysis

Management of Intelligent Vehicles: Comparison and Analysis

Cooperative control strategies to stabilise the freeway mixed traffic stability and improve traffic throughput in an intelligent roadside system environment

A Decentralized Architecture Based on Cooperative Dynamic Agents for Online Voltage Regulation in Smart Grids

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