Results 61 to 70 of about 8,928,935 (332)
Macroscopic Fundamental Diagram based Road Network Characteristics Identification and Simulation [PDF]
E3S Web of Conferences, 2020 As an inherent property of the road network, macroscopic fundamental diagram (MFD) method can effectively describe the traffic status of the urban roads and identify the relationship among key factors, such as traffic flow and occupancy. Currently, using
Yu Yi +4 more
doaj +1 more source
Prioritization of Road Network Construction in Bacan Island of North Maluku Province [PDF]
, 2013 Bacan Island, located in South Halmahera, North Maluku Province, is a potential region with a variety of important sectors, such as plantations, fisheries, mining, tourism, industry and trade.
Bowoputro, H. (Hendi) +2 more
core
Short‐term traffic flow prediction of road network based on deep learning
IET Intelligent Transport Systems, 2020 Due to the fact that existing traffic flow forecasting methods cannot completely reflect the real time traffic situation of the road network, a new method of short-term traffic flow prediction is proposed based on deep learning in this study. Firstly, in
Lei Han, Yi‐Shao Huang
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie +4 more
wiley +1 more source
Dynamic Assessment of Road Network Vulnerability Based on Cell Transmission Model
Journal of Advanced Transportation, 2021 The road network maintaining stability is critical for guaranteeing urban traffic function. Therefore, the vulnerable links need to be identified accurately.
Yu Sun +3 more
doaj +1 more source
A network mobility indicator using a fuzzy logic approach [PDF]
, 2014 This paper introduces a methodology to assess the mobility of a road transport network from the 3 network perspective. In this research, the mobility of the road transport network is defined as the 4 ability of the road transport network to connect all ...
EL Rashidy, Rawia Ahmed +1 more
core
Relational Fusion Networks: Graph Convolutional Networks for Road Networks
IEEE Transactions on Intelligent Transportation Systems, 2022 The application of machine learning techniques in the setting of road networks holds the potential to facilitate many important intelligent transportation applications. Graph Convolutional Networks (GCNs) are neural networks that are capable of leveraging the structure of a network.
Tobias Skovgaard Jepsen +2 more
openaire +3 more sources
Cell wall target fragment discovery using a low‐cost, minimal fragment library
FEBS Letters, EarlyView.LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan +5 more
wiley +1 more source
Optimization of Road Network Recovery Decisions Considering Road Section Recovery Differences
Shanghai Jiaotong Daxue xuebaoExisting studies on road network recovery decision have ignored the impact of the differences in recovery speed and recovery degree of different road sections on the recovery performance of the road network.
LU Qingchang, LIU Peng, QIN Han, XU Pengcheng
doaj +1 more source
Soil geohazard mapping for improved asset management of UK local roads [PDF]
, 2015 Unclassified roads comprise 60% of the road network in the United Kingdom (UK). The resilience of this locally important network is declining. It is considered by the Institution of Civil Engineers to be “at risk” and is ranked 26th in the world ...
Farewell, Timothy S. +2 more
core +2 more sources