Results 21 to 30 of about 19,676 (308)
Deep imitation reinforcement learning for self‐driving by vision
CAAI Transactions on Intelligence Technology, 2021 Deep reinforcement learning has achieved some remarkable results in self‐driving. There is quite a lot of work to do in the area of autonomous driving with high real‐time requirements because of the inefficiency of reinforcement learning in exploring ...
Qijie Zou +3 more
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Performance evaluation of a mobile hotspot supporting quasi‐random traffic
IET Networks, 2023 The authors study and evaluate a mobility‐aware call admission control algorithm in a mobile hotspot. More specifically, a vehicle which has an access point of a fixed capacity and may alternate between stop and moving phases is considered.
Marinos Vlasakis +3 more
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IET Intelligent Transport Systems, 2021 Rapid rescue response has the highest priority in case of emergency randomly happening on the freeway network, which allows rescue vehicles to have many trajectory options.
Jingwen Yang +5 more
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IET Cyber-Physical Systems, 2020 Improving the availability and reliability of a fleet of mobile cyber–physical systems as well as the ability to adapt the maintenance planning decisions when facing unexpected events at the fleet level is a major stake faced by the manufacturers and the
John Mbuli +5 more
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IET Intelligent Transport Systems, 2021 Traffic prediction on road networks is highly challenging due to the complexity of traffic systems and is a crucial task in successful intelligent traffic system applications.
Chenyu Tian, Wai Kin (Victor) Chan
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Lightweighting of Wishbone Finite Element Analysis
Engineering Transactions, 2020 This paper focuses on lightweighting of wishbone structure for ordinary 5-seated commercial vehicle. Typically, the wishbone structure is made of high carbon steel and the aim is to investigate if the composite materials, such as E-Glass/Epoxy, Carbon ...
Shuxian WANG +2 more
doaj +1 more source
IET Intelligent Transport Systems, 2021 Vehicular velocity prediction is of great significance to intelligent transportation system, as it provides a possible future velocity sequence for vehicle's decision‐making system.
Jianfei Cao, Hongwen He, Xing Cui
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The use of micro-simulation for congested traffic load modelling of medium- and long-span bridges [PDF]
, 2011 This paper presents a new approach to the modelling of congested traffic loading events on long span bridges. Conventional traffic load models are based on weigh-in-motion data of non-congested traffic, or something similar to a Poisson Arrival process ...
O\u27Brien, Eugene J. +3 more
core +1 more source
IET Intelligent Transport Systems, 2021 Data on the network traffic of the railway passenger ticketing system in China are important records that reflect the service status. In this paper, a neural network algorithm based on long short‐term memory using a pre‐wavelet, called the pre‐wavelet ...
Ze Xie +4 more
doaj +1 more source
Class-Based OSPF Traffic Engineering Inspired on Evolutionary Computation [PDF]
, 2007 This paper proposes a novel traffic engineering framework able to automatically provide near-optimal OSPF routing configurations for QoS constrained scenarios. Within this purpose, this work defines a mathematical model able to measure the QoS compliance in a class-based networking domain.
Pedro Nuno Miranda de Sousa +3 more
openaire +2 more sources