Results 41 to 50 of about 8,402,433 (327)
IEEE Access, 2021 Location privacy protection is an essential but challenging topic in the field of network security. Although the existing research methods, such as ${k}$ -anonymity, mix zone, and differential privacy, show significant success, they usually neglect the ...
Cenxi Tian +4 more
doaj +1 more source
Uncertainty-dependent data collection in vehicular sensor networks
, 2012 Vehicular sensor networks (VSNs) are built on top of vehicular ad-hoc networks (VANETs) by equipping vehicles with sensing devices. These new technologies create a huge opportunity to extend the sensing capabilities of the existing road traffic control ...
Płaczek, Bartłomiej
core +1 more source
Virtual-Grid Based Traffic Control Strategy With Multiple Intersections Collaboration
IEEE Access, 2018 This paper proposes a dynamic cooperative traffic control framework for multiple intersections based on virtual grids to optimize the throughput and ensure fairness among all traffic flows.
Yandong Hou, Gaochao Wang, Yi Zhou
doaj +1 more source
Advances in Civil Engineering, 2020 Road networks are one of the vital components of a transportation system that influence the traffic capacity and disaster losses after the earthquakes. The road network reliability is crucial for the postearthquake emergency decision-making.
Jinlong Liu +3 more
doaj +1 more source
, 2018 Road detection from the perspective of moving vehicles is a challenging issue in autonomous driving. Recently, many deep learning methods spring up for this task because they can extract high-level local features to find road regions from raw RGB data ...
Gao, Junyu, Wang, Qi, Yuan, Yuan
core +1 more source
A Road Description Language for the Leeds Driving Simulator Guide (V1.0) [PDF]
, 1993 A driving simulator has recently been developed at the University of Leeds. Part of this work has been to provide a method of creating a wide variety of road networks to meet the demands of different experiments.
Gallimore, S.
core
Road Extraction by Deep Residual U-Net
, 2017 Road extraction from aerial images has been a hot research topic in the field of remote sensing image analysis. In this letter, a semantic segmentation neural network which combines the strengths of residual learning and U-Net is proposed for road area ...
Liu, Qingjie +2 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background L‐asparaginase is a critical component in treatment protocols for pediatric acute lymphoblastic leukemia. Acute pancreatitis reactions can necessitate delays and, in some cases, discontinuation of L‐asparaginase, which compromises outcomes.
Edward J. Raack +39 more
wiley +1 more source
A link model approach to identify congestion hotspots
Royal Society Open Science, 2022 Congestion emerges when high demand peaks put transportation systems under stress. Understanding the interplay between the spatial organization of demand, the route choices of citizens and the underlying infrastructures is thus crucial to locate ...
Aleix Bassolas +2 more
doaj +1 more source
Incorporating Road Networks into Territory Design
, 2015 Given a set of basic areas, the territory design problem asks to create a predefined number of territories, each containing at least one basic area, such that an objective function is optimized.
Ahuja, Nitin +4 more
core +1 more source