Fuel-saving potentials of platooning evaluated through sparse heavy-duty vehicle position data

Liang, Kuo-Yun; Mårtensson, Jonas; Johansson, Karl Henrik

doi:10.1109/ivs.2014.6856540

Cited by 48 publications

(31 citation statements)

References 18 publications

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“…To automate a platooning service, it is essential to present transparent information on benefits and costs to individual fleet owners and drivers. By utilizing economic theory on technology adoption [44] and data from actual transportation tasks [34], it is possible to reason how a market for such a service can be established [16]. One example is centralized cooperation, in which fleet owners pay to subscribe to a third-party service provider and then can cooperate with any other fleet owner who is part of the system.…”

Section: Incentives For Cooperationmentioning

confidence: 99%

Cyber–Physical Control of Road Freight Transport

et al. 2016

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Abstract-Freight transportation is of outmost importance for our society and is continuously increasing. At the same time, transporting goods on roads accounts for about 26% of all energy consumption and 18% of all greenhouse gas emissions in the European Union. Despite the influence the transportation system has on our energy consumption and the environment, road transportation is mainly done by individual long-haulage trucks with no real-time coordination or global optimization. In this paper, we review how modern information and communication technology supports a cyber-physical transportation system architecture with an integrated logistic system coordinating fleets of trucks traveling together in vehicle platoons. From the reduced air drag, platooning trucks traveling close together can save about 10% of their fuel consumption. Utilizing road grade information and vehicle-to-vehicle communication, a safe and fuel-optimized cooperative look-ahead control strategy is implemented on top of the existing cruise controller. By optimizing the interaction between vehicles and platoons of vehicles, it is shown that significant improvements can be achieved. An integrated transport planning and vehicle routing in the fleet management system allows both small and large fleet owners to benefit from the collaboration. A realistic case study with 200 heavy-duty vehicles performing transportation tasks in Sweden is described. Simulations show overall fuel savings at more than 5% thanks to coordinated platoon planning. It is also illustrated how well the proposed cooperative look-ahead controller for heavy-duty vehicle platoons manages to optimize the velocity profiles of the vehicles over a hilly segment of the considered road network.

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Section: Incentives For Cooperationmentioning

confidence: 99%

Cyber–Physical Control of Road Freight Transport

et al. 2016

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“…1. Over a 24-hour period in May 2013, we obtained data from 7634 trucks; see [9] for a detailed description. The vehicle probe data consisted of vehicle ID, timestamp, latitude, longitude, and heading.…”

Section: Motivationmentioning

confidence: 99%

Cooperation patterns between fleet owners for transport assignments

Farokhi

Liang

Johansson

2015

2015 IEEE Conference on Control Applications (CCA)

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Abstract-We study cooperation patterns between the heavyduty vehicle fleet owners to reduce their costs, improve their fuel efficiency, and decrease their emissions. We consider a distributed cooperation pattern in which the fleet owners can communicate directly with each other to form alliances. A centralized cooperation pattern is studied in which the fleet owners pay to subscribe to a third-party service provider that pairs their vehicles for cooperation. The effects of various pricing strategies on the behaviour of fleet owners and their inclusiveness are analyzed. It is shown that the fleet size has an essential role.

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“…The idea of V2V in our paper is similar to the truck platoons [3][4][5]. The difference is that the truck platoon link trucks or cars in train-like line which can save fuel, fit more cars on road, and potentially improve safety.…”

Section: Introductionmentioning

confidence: 99%

Occluded Street Objects Perception Algorithm of Intelligent Vehicles Based on 3D Projection Model

Liu

Wei

2018

Journal of Advanced Transportation

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We present a super perception system of intelligent vehicles for perceiving occluded street objects by collecting images from neighbor front vehicles V2V (vehicle to vehicle) video streams based on 3D projection model. This super power can avoid some serious accidents of driver-assistant systems or automatic driving systems which can only detect visible objects. Our street perception system can "see through" the front vehicles to realize detecting of the occluded street objects only by analyzing the pair images received from front and host (back) vehicles. Upon the 3D projection model based on the pair images, the system uses affine transformation to achieve augmented reality method to increase the visibility perspective of driver system. Experimental results on different datasets are shown to validate our approach. Evaluation method was first introduced into our perception system.

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Fuel-saving potentials of platooning evaluated through sparse heavy-duty vehicle position data

Cited by 48 publications

References 18 publications

Cyber–Physical Control of Road Freight Transport

Cyber–Physical Control of Road Freight Transport

Cooperation patterns between fleet owners for transport assignments

Occluded Street Objects Perception Algorithm of Intelligent Vehicles Based on 3D Projection Model

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