Results 11 to 20 of about 8,928,935 (332)
Estonian Road Network and Road Management
The Baltic Journal of Road and Bridge Engineering, 2006 Estonian public road network is one of the densest in the Baltic and Nordic countries with the 52,8 % of paved state roads. Also it is specific in the sense of the organisation of road management the maintenance of which is implemented partly by private ...
Andrus Aavik
doaj +2 more sources
Road network structure and ride-sharing accessibility: A network science perspective
Computers, Environment and Urban Systems, 2020 The prosperity of ride-sharing services has rippled in the communities of GIScience, transportation, and urban planning. Meanwhile, road network structure has been analyzed from a network science perspective that focuses on nodes and relational links and
Mingshu Wang +3 more
semanticscholar +3 more sources
Science of the Total Environment, 2017 Road networks affect the spatial structure of urban landscapes, and with continuous expansion, it will also exert more widespread influences on the regional ecological environment. With the support of geographic information system (GIS) technology, based
Wenbo Mo +3 more
semanticscholar +3 more sources
Jointly Contrastive Representation Learning on Road Network and Trajectory [PDF]
International Conference on Information and Knowledge Management, 2022 Road network and trajectory representation learning are essential for traffic systems since the learned representation can be directly used in various downstream tasks (e.g., traffic speed inference, travel time estimation).
Zhenyu Mao +4 more
semanticscholar +1 more source
RNGDet++: Road Network Graph Detection by Transformer With Instance Segmentation and Multi-Scale Features Enhancement [PDF]
IEEE Robotics and Automation Letters, 2022 The road network graph is a critical component for downstream tasks in autonomous driving, such as global route planning and navigation. In the past years, road network graphs are usually annotated by human experts manually, which is time-consuming and ...
Zhenhua Xu +4 more
semanticscholar +1 more source
Spatio-Temporal Graph Convolutional Networks for Road Network Inundation Status Prediction during Urban Flooding [PDF]
Computers, Environment and Urban Systems, 2021 The objective of this study is to predict the near-future flooding status of road segments based on their own and adjacent road segments current status through the use of deep learning framework on fine-grained traffic data.
Faxi Yuan +3 more
semanticscholar +1 more source
Predicting traffic propagation flow in urban road network with multi-graph convolutional network
Complex & Intelligent Systems, 2023 Traffic volume propagating from upstream road link to downstream road link is the key parameter for designing intersection signal timing scheme. Recent works successfully used graph convolutional network (GCN) and specific time-series model to forecast ...
Haiqiang Yang, Zihan Li, Yashuai Qi
semanticscholar +1 more source
Urban Road Transport Network Analysis: Machine Learning and Social Network Approaches
Communications, 2022 Traffic congestion is one of the most significant problems in urban transportation. It has been increasing, especially in regions close to intersections. Several methods have been developed to reduce the traffic congestion. One of the analysis methods is
Emre Kuşkapan +4 more
doaj +1 more source
Applied Sciences, 2022 Accurately identifying the key nodes of the road network and focusing on its management and control is an important means to improve the robustness and invulnerability of the road network.
Chaofeng Liu +4 more
doaj +1 more source
Tabu search for the time-dependent vehicle routing problem with time windows on a road network
European Journal of Operational Research, 2021 Travel times inside cities often vary quite a lot during a day and significantly impact the duration of commercial delivery routes. Several authors have suggested time-dependent variants of the most commonly encountered vehicle routing problems. In these
Maha Gmira +3 more
semanticscholar +1 more source