Results 41 to 50 of about 148,828 (311)
Affordance-based individuation of junctions in Open Street Map
We propose an algorithm that can be used to identify automatically the subset of street segments of a road network map that corresponds to a junction. The main idea is to use turn-compliant locomotion affordances, i.e., restricted patterns of supported ...
Simon Scheider, Jörg Possin
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Tool and data set of road networks for 80 of the most populated urban areas in the world. The data consist of a graph edge list for each city and two corresponding GIS shapefiles (i.e., links and nodes).Make your own data with our ArcGIS, QGIS, and ...
Urban Road Networks (1263210)
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Toward Native Explainable and Robust AI in 6G Networks: Current State, Challenges and Road Ahead [PDF]
6G networks are expected to face the daunting task of providing support to a set of extremely diverse services, each more demanding than those of previous generation networks (e.g., holographic communications, unmanned mobility, etc.), while at the same ...
Widmer, Joerg +3 more
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Sensor Networks For Smart Roads [PDF]
This paper proposes the use of a wireless sensor network of "cat's eye" augmented with embedded processing, communication, and sensing capabilities to monitor vehicle behaviour on augmented roads. The primary goal of the system is to provide drivers with early warning of potentially dangerous situations that may arise.
Marcin Karpinski +2 more
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Efficient Geo-Computational Algorithms for Constructing Space-Time Prisms in Road Networks
The Space-time prism (STP) is a key concept in time geography for analyzing human activity-travel behavior under various Space-time constraints. Most existing time-geographic studies use a straightforward algorithm to construct STPs in road networks by ...
Hui-Ping Chen +3 more
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Virtual-Grid Based Traffic Control Strategy With Multiple Intersections Collaboration
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
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Key questions for road investment and spending
This report has been produced by the Road Investment Scrutiny Panel – an assembled group of senior professionals supported by funding from the Rees Jeffreys Road Fund.Roads are the arteries of economic and social prosperity.
Road Investment Scrutiny Panel
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Topometric localization on a road network [PDF]
Current GPS-based devices have difficulty localizing in cases where the GPS signal is unavailable or insufficiently accurate. This paper presents an algorithm for localizing a vehicle on an arbitrary road network using vision, road curvature estimates, or a combination of both.
Danfei Xu +2 more
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Opportunistic fleets for road event detection in vehicular sensor networks
High mobility and variable road surface condition brings big challenges for road event detection by using vehicular sensor networks (VSNs). VSNs are data-centric networks, so that the efficient collaborations among opportunistic topology structure in the
Zeng, Y, Li, D, Vasilakos, AV
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A Graph Deep Learning-Based Fast Traffic Flow Prediction Method in Urban Road Networks
In modern smart cities, road networks are becoming more and more complicated, resulting in more complex format of graphs. This brings many challenges to the forecasting of traffic flow in road graphs.
Dongfang Yang, Liping Lv
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