Analysis of road capacity and pollutant emissions: Impacts of Connected and automated vehicle platoons on traffic flow

Ma, Ke; Wang, Hao; Ruan, Tiancheng

doi:10.1016/j.physa.2021.126301

Cited by 53 publications

(12 citation statements)

References 26 publications

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“…As Belova (2014) notes in her study, traffic flows with the allocation of public transport are a complex managed system, which relies on a variety of indicators. The general methodology for modeling such a system should be based on mathematical and system analysis, the implementation of which requires valid and reliable input data, Somov (2015), Ma et al (2021). The methodology for obtaining such data correlates with the methodology for obtaining qualitative and quantitative data that was used by our author's team.…”

Section: Discussionmentioning

confidence: 99%

Modelling parameters of traffic flows in a traffic simulation model with the priority of public transport

et al. 2022

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The article defines the importance of simulation modeling of traffic flows for the development of both individual territories and the entire city. The object of the study is a transport artery connecting two major districts of the city of Moscow: Strogino and Shchukino. As part of the work, the key quantitative and qualitative parameters of the object are highlighted, allowing to determine the input parameters for the simulation model of the real object in order to implement a scenario of reducing the number of lanes for personal road transport and adding a dedicated lane for public transport.

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Section: Discussionmentioning

confidence: 99%

Modelling parameters of traffic flows in a traffic simulation model with the priority of public transport

et al. 2022

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“…are still prone to occlusion and are limited in their ability to detect distant objects [12]- [18]. Furthermore, the integration of automated vehicles into a mixed-autonomy transportation system, where they must interact with human-driven vehicles, pedestrians, complicated traffic rules, and various types of infrastructure, poses significant difficulties in making safe decisions [18]- [20]. These challenges remain a major obstacle to the large-scale deployment of automated driving technology in real-world scenarios.…”

Section: Introductionmentioning

confidence: 99%

The OpenCDA Open-Source Ecosystem for Cooperative Driving Automation Research

Xiang

Han

et al. 2023

IEEE Trans. Intell. Veh.

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Advances in Single-vehicle intelligence of automated driving has encountered great challenges because of limited capabilities in perception and interaction with complex traffic environments. Cooperative Driving Automation (CDA) has been considered a pivotal solution to next-generation automated driving and smart transportation. Though CDA has attracted much attention from both academia and industry, exploration of its potential is still in its infancy. In industry, companies tend to build their in-house data collection pipeline and research tools to tailor their needs and protect intellectual properties. Reinventing the wheels, however, wastes resources and limits the generalizability of the developed approaches since no standardized benchmarks exist. On the other hand, in academia, due to the absence of real-world traffic data and computation resources, researchers often investigate CDA topics in simplified and mostly simulated environments, restricting the possibility of scaling the research outputs to real-world scenarios. Therefore, there is an urgent need to establish an open-source ecosystem (OSE) to address the demands of different communities for CDA research, particularly in the early exploratory research stages, and provide the bridge to ensure an integrated development and testing pipeline that diverse communities can share. In this paper, we introduce the OpenCDA research ecosystem, a unified OSE integrated with a model zoo, a suite of driving simulators at various resolutions, large-scale real-world and simulated datasets, complete development toolkits for benchmark training/testing, and a scenario database/generator. We also demonstrate the effectiveness of OpenCDA OSE through example use cases, including cooperative 3D LiDAR detection, cooperative merge, cooperative camerabased map prediction, and adversarial scenario generation.

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“…V EHICLE platooning is a promising method that can significantly increase traffic throughput while simultaneously reducing fuel consumption [2], [3], [4]. When setting up a vehicle platoon we seek for two main properties; namely, internal stability and string stability.…”

Section: Introductionmentioning

confidence: 99%

Minimum Time Headway in Platooning Systems Under the MPF Topology for Different Wireless Communication Scenario

Abolfazli

Besselink

Charalambous

2023

IEEE Trans. Intell. Transport. Syst.

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The multiple-predecessor following (MPF) topology is used in vehicle platoons to make it robustly string stable and reduce the minimum employable time headway. It has been demonstrated that communication imperfections such as time delays coming from wireless communications can affect string stability as well as the minimum time headway required to guarantee string stability. Specifically, it was shown that the larger the time delay, the longer the minimum time headway will be. However, by utilizing on-board vehicle sensors, such as radar, lidar and cameras, the distance and speed of nearby vehicles can be measured almost instantaneously, i.e., with almost no delay. Another effective parameter on string stability and minimum time headway is the heterogeneity of the vehicles. Due to the immense complexity of the MPF topology, string stability analysis of this topology in literature has been confined to homogeneous platoons. In this paper, we consider the case of heterogeneous platoons under the MPF topology with the use of the combination of sensors and wireless communications for receiving information. Following that, we find conditions to guarantee the internal and string stability for the heterogeneous case and propose the minimum time headway required to guarantee string stability. Finally, we provide a table, in which we propose the minimum time headway for two other wireless communication scenarios as well: (i) having no communication delay and (ii) having fully-delayed information, i.e., all information, whether it comes from the ego vehicle or its predecessors, is delayed. In addition to exploring the analysis of string stability for the vehicles with more possible connections (vehicles after the r t h vehicle, when information from r immediate vehicles is used), we study the string stability conditions (with which we aim at avoiding collisions) and find the minimum time headway for the first few vehicles (vehicle r and all its predecessors). Numerical results clearly show the effectiveness of the proposed lower bounds.

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Analysis of road capacity and pollutant emissions: Impacts of Connected and automated vehicle platoons on traffic flow

Cited by 53 publications

References 26 publications

Modelling parameters of traffic flows in a traffic simulation model with the priority of public transport

Modelling parameters of traffic flows in a traffic simulation model with the priority of public transport

The OpenCDA Open-Source Ecosystem for Cooperative Driving Automation Research

Minimum Time Headway in Platooning Systems Under the MPF Topology for Different Wireless Communication Scenario

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