Planning of truck platoons: A literature review and directions for future research

Bhoopalam, Anirudh Kishore; Agatz, Niels; Zuidwijk, Rob

doi:10.1016/j.trb.2017.10.016

Cited by 232 publications

(132 citation statements)

References 97 publications

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“…Chen et al offer a methodology to determine location of an air highway and propose control strategies for drones when they join the highway traffic and travel as leaders or followers of emerging platoons. Richert and Cortes observe that, similar to platooning for conventional trucks , flying in a formation enables the drones that are following the lead drone to consume less energy. Since these benefits are asymmetric, Richert and Cortes examine a game with two strategic independent drones and design a scheme in which one drone proposes a schedule of leader–follower switches to make breaking out from the formation unattractive for both drones at any point in time.…”

Section: Strategic Tactical and Operational Issues Linked To Drone mentioning

confidence: 99%

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

et al. 2018

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Unmanned aerial vehicles (UAVs), or aerial drones, are an emerging technology with significant market potential. UAVs may lead to substantial cost savings in, for instance, monitoring of difficult‐to‐access infrastructure, spraying fields and performing surveillance in precision agriculture, as well as in deliveries of packages. In some applications, like disaster management, transport of medical supplies, or environmental monitoring, aerial drones may even help save lives. In this article, we provide a literature survey on optimization approaches to civil applications of UAVs. Our goal is to provide a fast point of entry into the topic for interested researchers and operations planning specialists. We describe the most promising aerial drone applications and outline characteristics of aerial drones relevant to operations planning. In this review of more than 200 articles, we provide insights into widespread and emerging modeling approaches. We conclude by suggesting promising directions for future research.

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Section: Strategic Tactical and Operational Issues Linked To Drone mentioning

confidence: 99%

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

et al. 2018

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“…Recent research has focused more on technological development such as platooning control [19], vehicle concept [20], cost efficiency [21], timetabling and scheduling [22], the experimental platform for vehicle control [23], mapping and path planning [24]. Apart from the AV, truck platooning has also attracted much research interest in [7,8,25], but there are very few studies on bus platooning. Regarding passenger perceptions, the empirical evidence from passenger security on the AB can be found in [26], or public attitudes towards AB in [27].…”

Section: Literature Reviewmentioning

confidence: 99%

Platooning of Autonomous Public Transport Vehicles: The Influence of Ride Comfort on Travel Delay

Nguyen

Xie²,

Liu³

et al. 2019

Sustainability

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The development of advanced technologies has led to the emergence of autonomous vehicles. Herein, autonomous public transport (APT) systems equipped with prioritization measures are being designed to operate at ever faster speeds compared to conventional buses. Innovative APT systems are configured to accommodate prevailing passenger demand for peak as well as non-peak periods, by electronic coupling and decoupling of platooned units along travel corridors, such as the dynamic autonomous road transit (DART) system being researched in Singapore. However, there is always the trade-off between high vehicle speed versus passenger ride comfort, especially lateral ride comfort. This study analyses a new APT system within the urban context and evaluates its performance using microscopic traffic simulation. The platooning protocol of autonomous vehicles was first developed for simulating the coupling/decoupling process. Platooning performance was then simulated on VISSIM platform for various scenarios to compare the performance of DART platooning under several ride comfort levels: three bus comfort and two railway criteria. The study revealed that it is feasible to operate the DART system following the bus standing comfort criterion (ay = 1.5 m/s2) without any significant impact on system travel time. For the DART system operating to maintain a ride comfort of the high-speed train (HST) and light rail transit (LRT), the delay can constitute up to ≈ 10% and ≈ 5% of travel time, respectively. This investigation is crucial for the system delay management towards precisely designed service frequency and improved passenger ride comfort.

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“…Yet, new technical advances affecting transportation dynamics, like routing devices and autonomous vehicles, are changing the current traffic characteristics, requiring the design of new models [12,28,29]. In particular, vehicle automation paves the way to truck platooning, intended to optimize freight transportation and to reduce fuel consumption [2,18,24,33]. Energy saving and eco-driving considerations can also encourage car platooning [35].…”

Section: Introductionmentioning

confidence: 99%

A Macroscopic Model for Platooning in Highway Traffic

Piacentini¹,

Goatin²,

Ferrara³

2020

SIAM J. Appl. Math.

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We consider a model describing the presence of a platoon of vehicles moving in the traffic flow. The model consists of a coupled PDE-ODE system describing the interaction between the platoon and the surrounding traffic flow. The scalar conservation law takes into account the main traffic evolution, while the ODEs describe the trajectories of the initial and final points of the platoon, whose length can vary in time. The presence of the platoon acts as a road capacity reduction, resulting in a space-time discontinuous flux function. We describe the solutions of Riemann problems and design a finite volume numerical scheme sharply capturing non-classical discontinuities. Some numerical tests are presented to show the effectiveness of the method.

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Planning of truck platoons: A literature review and directions for future research

Cited by 232 publications

References 97 publications

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

Platooning of Autonomous Public Transport Vehicles: The Influence of Ride Comfort on Travel Delay

A Macroscopic Model for Platooning in Highway Traffic

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