Results 11 to 20 of about 7,105,066 (255)
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
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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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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
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Review of urban traffic management and the impacts of new vehicle technologies [PDF]
, 2009 Traffic congestion is a growing problem in most urban areas across the world. In recent years, the problem has often been tackled by management of existing capacity rather than the traditional concept of more road building.
Shrestha, B.P. +5 more
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In-Network Flow Classification With Knowledge Distillation
IEEE Access, 2021 Recent research has incorporated machine learning with software-defined networking to support intelligent traffic engineering. However, most frameworks only enable machine learning in remote controllers, which introduce significant signaling overhead and
Kate Ching-Ju Lin, Chen-Yang Li
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IET Intelligent Transport Systems, 2022 The interpretation of driver behaviour decisions is an essential part of driver behaviour research. Unlike previous studies that use driver's vision indicators or behaviour indicators as the basis for behaviour decision‐making models, this paper proposes
Yi Li, Bo Yu, Yuren Chen, Zhihua Hu
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Towards distributed adaptive control for road traffic junction signals using learning classifier systems [PDF]
, 2004 This chapter considers an approach to distributed traffic responsive signal controlusing Learning Classifier Systems (Holland, 1976). The intention is to accommodaterealistic kinds of detector data and wide ranges of candidate performance criteria ...
Bull, L +18 more
core +1 more source