PERMIT - A SUMO Simulator for Platooning Maneuvers in Mixed Traffic Scenarios

Mena-Oreja, Jesús; Gozálvez, Javier

doi:10.1109/itsc.2018.8569496

Cited by 12 publications

(11 citation statements)

References 12 publications

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“…It is observed that researchers applied numerous logic systems/algorithms, including adaptive dynamic programming [97], optimization-based ramp control strategy [70], Virdi CAV Control Protocol [99], decision-making CAV control algorithm [75], Model Predictive Control [100], Autonomous intersection management [107], Platooning Extension Plexe [108], cooperative scheduling mechanism for CAVs [110], discrete-time occupancies trajectory-based intersection traffic coordination algorithm [113], lane sorting [114], matrix-based intersection management logic [116], and Cooperative Controller and Distributed Algorithm [72].…”

Section: Av Modeling By Externalitiesmentioning

confidence: 99%

Evolution of Traffic Microsimulation and Its Use for Modeling Connected and Automated Vehicles

Raju

Farah

2021

Journal of Advanced Transportation

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Traffic microsimulation has a functional role in understanding the traffic performance on the road network. This study originated with intent to understand traffic microsimulation and its use in modeling connected and automated vehicles (CAVs). Initially, the paper focuses on understanding the evolution of traffic microsimulation and on examining the various commercial and open-source simulation platforms available and their importance in traffic microsimulation studies. Following this, current autonomous vehicle (AV) microsimulation strategies are reviewed. From the review analysis, it is observed that AVs are modeled in traffic microsimulation with two sets of strategies. In the first set, the inbuilt models are used to replicate the driving behavior of AVs by adapting the models’ parameters. In the second strategy, AV behavior is programmed with the help of externalities (e.g., Application Programming Interface (API)). Studies simulating AVs with inbuilt models used mostly VISSIM compared to other microsimulation platforms. In addition, the studies are heavily focused on AVs’ penetration rate impact on traffic flow characteristics and traffic safety. On the other hand, studies which simulated AVs with externalities focused on the communication aspects for traffic management. Finally, the cosimulation strategies for simulating the CAVs are explored, and the ongoing research attempts are discussed. The present study identifies the limitations of present CAV microsimulation studies and proposes prospects and improvements in modeling AVs in traffic microsimulation.

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Section: Av Modeling By Externalitiesmentioning

confidence: 99%

Evolution of Traffic Microsimulation and Its Use for Modeling Connected and Automated Vehicles

Raju

Farah

2021

Journal of Advanced Transportation

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“…Most existing work on mixed traffic flow focuses on the penetration rates only, usually described by a scalar index [14]- [17]; the role of the formation has not been discussed explicitly before. Note that a similar dynamical model was introduced in [19], which is equivalent to (7), since the state vector in [19] can be transformed to x(t) in ( 7) by a permutation matrix. We choose the form (7) due to its convenience to reflect the relationship between the system matrices A S , B S and the formation decision S.…”

Section: Modeling Mixed Traffic Systemsmentioning

confidence: 99%

“…This brings a challenge for practical implementation of vehicle platooning. Since AVs are usually distributed randomly in real traffic flow-a sparse and random distribution is particularly common at a low penetration rate, several maneuvers including joining, leaving, merging, and splitting need to be performed to form neighboring AVs into a platoon; see, e.g., [6], [7]. It has been revealed that these maneuvers might bring possible negative impacts, even causing undesired congestions; see, e.g., [8], [9].…”

Section: Introductionmentioning

confidence: 99%

Cooperative Formation of Autonomous Vehicles in Mixed Traffic Flow: Beyond Platooning

Li,

Wang,

Zheng

2020

Preprint

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Cooperative formation and control of autonomous vehicles (AVs) promise increased efficiency and safety on public roads. In mixed traffic flow consisting of AVs and human-driven vehicles (HDVs), the prevailing platooning of multiple AVs is not the only choice for cooperative formation. In this paper, we investigate how different formations of AVs impact traffic performance from a set-function optimization perspective. We first reveal a stability invariance property and a diminishing improvement property when AVs adopt typical Adaptive Cruise Control (ACC) strategies. Then, we re-design the control strategies of AVs in different formations and investigate the optimal formation of multiple AVs using set-function optimization. Two predominant optimal formations, i.e., uniform distribution and platoon formation, emerges from extensive numerical experiments. Interestingly, platooning might have the least potential to improve traffic performance when HDVs have poor string stability behavior. These results suggest more opportunities for cooperative formation of AVs, beyond platooning, in practical mixed traffic flow.

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“…In slowly moving, urban traffic CACC would not be clearly beneficial either. Permit [12] extends Plexe even further with complex platoon movements. In urban traffic, unfortunately, there is not enough space and time to make such maneuvers.…”

Section: Related Workmentioning

confidence: 99%

“…It has as its aim the coordinated and close driving to improve the capacity of the road network, reduce air drag, improve fuel consumption, etc. [12] [14] [15].…”

Section: Related Workmentioning

confidence: 99%

SUMO Based Platform for Cooperative Intelligent Automotive Agents

Alekszejenkó¹,

Dobrowiecki²

EPiC Series in Computing

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Starting from the problems of nowadays' urban traffic (congestions, imperfect timing of traffic lights, high impact of lane changes) we investigate the feasibility of a cooperative intelligent agent based solution as an overall control scheme governing the car flow in congested urban intersections.The proposed complex solution features both the intelligent traffic control and the car platooning. In order to test and verify the merits of the proposed solution in urban intersection of a widely variable topology, but also to support our future research aims, a simulation platform, extending the basic functionalities of SUMO with the options of intelligent communication and cooperative co-acting, was designed and developed.

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PERMIT - A SUMO Simulator for Platooning Maneuvers in Mixed Traffic Scenarios

Cited by 12 publications

References 12 publications

Evolution of Traffic Microsimulation and Its Use for Modeling Connected and Automated Vehicles

Evolution of Traffic Microsimulation and Its Use for Modeling Connected and Automated Vehicles

Cooperative Formation of Autonomous Vehicles in Mixed Traffic Flow: Beyond Platooning

SUMO Based Platform for Cooperative Intelligent Automotive Agents

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