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Journal ArticleDOI

Freeway speedharmonisation experiment using connected and automated vehicles

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- 01 Jun 2018 - 
- Vol. 12, Iss: 5, pp 319-326
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TLDR
The results show the potential that CAVs have in reducing the oscillatory behaviour of traffic, and the development of an innovative vehicle control platform and experimental design to conduct speed harmonisation field experiments are documents.
Abstract
One effective strategy of cooperative vehicle-highway systems with connected and automated vehicles (CAVs) is speed harmonisation, which dynamically adjusts vehicle speed recommendations to reduce speed differentials. Speed harmonisation can be applied to potentially improve mobility and safety. This study documents the development of an innovative vehicle control platform and experimental design to conduct speed harmonisation field experiments. In our experiment, a fleet consisting of three CAVs and five probe vehicles was deployed on a roadway segment that experiences daily recurring traffic congestion. The objective of the CAVs was to regulate traffic upstream of the bottleneck, so that vehicles move with uniform speed, thereby creating a steadier flow of traffic. The performance measures (e.g. travel time, fuel consumption, and speed oscillations) of the probe vehicles were analysed. To evaluate the effectiveness of speed harmonisation on smoothing the flow of traffic, these measures were compared between the probe vehicles that followed the CAVs. The results show the potential that CAVs have in reducing the oscillatory behaviour of traffic.

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Citations
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A mixed traffic speed harmonization model with connected autonomous vehicles

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Platoon of SAE Level-2 Automated Vehicles on Public Roads: Setup, Traffic Interactions, and Stability

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Leveraging existing high-occupancy vehicle lanes for mixed-autonomy traffic management with emerging connected automated vehicle applications

TL;DR: A large-scale simulation-based real-world case study to investigate CAV early deployment opportunities on Interstate 66 outside the Beltway shows that, for all scenarios, individual and bundled CAV applications can significantly improve traffic performance in terms of delay and throughput.
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Review of trajectory optimisation for connected automated vehicles

TL;DR: This study provides an overview of studies on CAV trajectory optimisation in the road traffic context, with a focus on the literature in the past decade, and categorising representative studies with several relevant criteria.
References
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Journal ArticleDOI

Freeway traffic oscillations: Microscopic analysis of formations and propagations using Wavelet Transform

TL;DR: In this article, the authors identify the origins of stop-and-go driving and measure microscopic features of their propagations by analyzing vehicle trajectories via Wavelet Transform, based on 53 oscillation cases analyzed, they find that oscillations can be originated by either lane changing maneuvers (LCMs) or car-following behavior (CF).
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Stop-and-go traffic analysis: Theoretical properties, environmental impacts and oscillation mitigation

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TL;DR: In this article, a frequency spectrum analysis approach is proposed to improve measurements of traffic oscillation properties from field data, and the approach builds on standard signal processing techniques to effectively distinguish useful oscillation information from noise and nonstationary traffic trends.
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A control theoretic formulation of green driving strategies based on inter-vehicle communications

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