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fBrake, a Method to Simulate the Brake Efficiency of Laden Light Passenger Vehicles in PTIs While Measuring the Braking Forces of Their Unladen Configurations. [PDF]
Sensors (Basel)Romero-Gómez V, San Román JL.
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Neurochallenges in smart cities: state-of-the-art, perspectives, and research directions. [PDF]
Front NeurosciÖzkaynak B +11 more
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2017 IEEE Intelligent Vehicles Symposium (IV), 2017
With the advent of the first autonomous cars and trucks on public roads, Truck platooning has also received more attention. In this paper, we will discuss Daimler AG's implementation of a truck platoon. We will introduce our theoretical preparation as well as the practical implementation and results that we learnt during public road testing.
S. Ellwanger, Enrico Wohlfarth
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With the advent of the first autonomous cars and trucks on public roads, Truck platooning has also received more attention. In this paper, we will discuss Daimler AG's implementation of a truck platoon. We will introduce our theoretical preparation as well as the practical implementation and results that we learnt during public road testing.
S. Ellwanger, Enrico Wohlfarth
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Longitudinal Control for Truck Platooning
2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI), 2020Platoon can travel with a small distance between vehicles, effectively reducing air resistance, reducing fuel consumption, and significantly improving traffic conditions. In order to maintain a safe and stable intra-vehicle distance, the paper proposes a distributed model predictive control method considering the state of the leader vehicle. The leader
Mohan Long, Guangfeng Tian, Hao Cheng
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A Consensus-Based Algorithm for Truck Platooning
IEEE Transactions on Intelligent Transportation Systems, 2017The platooning of trucks can be considered to be a potential approach to mitigate some of the negative effects that trucking can have on traffic streams. This paper proposes a cooperative distributed approach for forming/modifying platoons of trucks based on consensus algorithms.
Mahnam Saeednia, Mónica Menéndez
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New Electronics, 2020
Data, tracking and platooning - what does the future hold for commercial fleets?
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Data, tracking and platooning - what does the future hold for commercial fleets?
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A fail-operational truck platooning architecture
2017 IEEE Intelligent Vehicles Symposium (IV), 2017Truck platooning for which multiple trucks follow at a short distance is considered a near-term truck automation opportunity, with the potential to reduce fuel consumption. Short following distances and increasing automation make it hard for a driver to be the backup if the system fails.
Bijlsma, T., Hendriks, T.
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Multidisciplinary Investigation of Truck Platooning
SAE Technical Paper Series, 2020<div class="section abstract"><div class="htmlview paragraph">In the age of environmental challenges, and with it the demand for increasing energy efficiency of commercial vehicles, truck platooning is discussed as a promising approach. The idea is several trucks forming an automated convoy - with the lead truck sending out acceleration ...
Bastian Schnepf +2 more
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Evaluation of safety indicators for truck platooning
2017 IEEE Intelligent Vehicles Symposium (IV), 2017This paper addresses safety indicators for truck platooning at short inter-vehicle distances (with a time gap of 0.5 s). The aim of a safety indicator is to determine the correct moment for initiating a Collision Avoidance brake action to prevent a collision with the preceding truck in threatening situations. Three safety indicators are selected for an
Nunen, E. van +3 more
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An automated truck platoon for energy saving
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011This paper presents an automated truck platoon that has been developed under a national ITS project named “Energy ITS.” The project, started in 2008, aims at energy saving and global warming prevention with ITS technologies. A platoon of 3 fully-automated trucks currently drives at 80 km/h with the gap of 10 m on a test truck and along an expressway ...
Sadayuki Tsugawa, Shin Kato, Keiji Aoki
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