40,165 Hits in 6.3 sec

Real Time Traffic Models, Decision Support for Traffic Management

Luc Wismans, Erik de Romph, Klaas Friso, Kobus Zantema
2014 Procedia Environmental Sciences  
of the overall network.  ...  Reliable and accurate short-term traffic state prediction can improve the performance of real-time traffic management systems significantly.  ...  Acknowledgements We acknowledge the Stichting Sensor City for giving us the opportunity to work on this project and the city of Assen of providing us with real-time data.  ... 
doi:10.1016/j.proenv.2014.11.022 fatcat:6sraojhz2rhu5c2bucaukoun6y

Traffic Radar: A Holonic Traffic Coordination System Using PROSA++ and D-MAS [chapter]

Johan Philips, Bart Saint Germain, Jan Van Belle, Paul Valckenaers
2013 Lecture Notes in Computer Science  
Two main architectural assets enable distributed real-time coordination, the holonic PROSA++ architecture and the delegate multi-agent system (D-MAS) pattern.  ...  Early experiments with the Traffic Radar platform show its ability to forecast traffic flows and densities based on individual user intentions.  ...  This paper reflects the work funded by European project MODUM (FP7-288205, Models for Optimising Dynamic Urban Mobility).  ... 
doi:10.1007/978-3-642-40090-2_15 fatcat:x4hs37i52balxfghtzyhsfadjm

NPART - node placement algorithm for realistic topologies in wireless multihop network simulation

Bratislav Milic, Miroslaw Malek
2009 Proceedings of the Second International ICST Conference on Simulation Tools and Techniques  
Despite a considerable number of topology generation algorithms for simulation of wireless multihop networks it is difficult to find one with output similar to real networks.  ...  To demonstrate its quality, we compare topologies generated by NPART algorithm with our measurements from open wireless multihop networks in Berlin and Leipzig.  ...  Cumulative distributions of articulation point count and weighted network components after reduction of pendant node count by 20%.  ... 
doi:10.4108/icst.simutools2009.5669 dblp:conf/simutools/MilicM09 fatcat:qtxfewepfrhrjlphs3ogyldf2y

Fade Depth Prediction Using Human Presence for Real Life WSN Deployment

G. Horvat, S. Rimac-Drlje, D. Zagar
2013 Radioengineering  
By using the proposed model in real life deployment scenarios of WSNs, the data loss and power consumption can be reduced by the means of intelligently planning and designing Wireless Sensor Network.  ...  Current problem in real life WSN deployment is determining fade depth in indoor propagation scenario for link power budget analysis using (fade margin parameter).  ...  Acknowledgement This work was sponsored by the Ministry of Science, Education and Sports of the Republic of Croatia under projects 165-0362027-1479 and 165-0361630-1636.  ... 
doaj:defd222712004b8680979678cb89fd7c fatcat:gi75o3vvtreehjqijhifmt2fka

Viral content propagation in Online Social Networks [article]

Giannis Haralabopoulos, Ioannis Anagnostopoulos, Sherali Zeadally
2018 arXiv   pre-print
Information flows are the result of a constant exchange in Online Social Networks (OSNs). OSN users create and share varying types of information in real-time throughout a day.  ...  Virality is introduced as a term to describe information that reaches a wide audience within a small time-frame.  ...  Even before the emergence of OSNs, social ties and information flows have been studied in traditional real-life social networks.  ... 
arXiv:1712.02245v2 fatcat:dtfw34eolngorg2dibvmpffif4

Diffusion Dynamics of Energy Saving Practices in Large Heterogeneous Online Networks

Neda Mohammadi, Qi Wang, John E. Taylor, Cheng-Yi Xia
2016 PLoS ONE  
Thus, the two-step flow of communication model does not appear to describe the sharing of energy conservation practices in large online heterogeneous networks.  ...  Our findings suggest that diffusion networks of messages advocating energy saving practices are predominantly led by the activities of dedicated organizations but their attempts do not result in substantial  ...  Acknowledgments This study was supported by the National Science Foundation under Grant No. 1142379 [].  ... 
doi:10.1371/journal.pone.0164476 pmid:27736912 pmcid:PMC5063345 fatcat:vpfxdehdcvddtlurz3gm4uyz74

Lifespan and propagation of information in On-line Social Networks a Case Study [article]

Giannis Haralabopoulos, Ioannis Anagnostopoulos
2014 arXiv   pre-print
Within that flow, information is shared to and reproduced by the users of each network.  ...  flows from one Online Social Network (OSN) to several others.  ...  Even before the rise of Online Social Networks (OSNs), social ties and information flows have been studied in traditional real-life social networks.  ... 
arXiv:1403.1486v1 fatcat:zrky6nxba5cs7kwlcp5upgwmze

Real-time crowd density mapping using a novel sensory fusion model of infrared and visual systems

S. Yaseen, A. Al-Habaibeh, D. Su, F. Otham
2013 Safety Science  
The ultimate objective of this work is to enhance the real time decision making process from crowd density by accurate crowd density mapping.  ...  However, crowd management in real time would require accurate and real time estimation in different locations to allow intervention before the occurrence of any critical situation.  ...  Finally, the incoming and outgoing persons could be measured by counting the people data on the space time images of each moving direction.  ... 
doi:10.1016/j.ssci.2013.03.007 fatcat:kjebl4i2ivc2jbrttqup45nrjy

SIDEWAYS-2022 @ HT-2022: 7th International Workshop on Social Media World Sensors

Mario Cataldi, Luigi Di Caro, Claudio Schifanella
2022 7th International Workshop on Social Media World Sensors  
This long-running workshop aims at focusing the attention on a particular perspective of these powerful communication channels, which is that of social sensors, where each user reacts in real time to the  ...  underlying reality by providing some own interpretation.  ...  The aim of this workshop is to ask researchers to enter such view, by studying how social media can be used in a real-time scenario to detect events and their interpretations.  ... 
doi:10.1145/3544795.3544844 fatcat:vmuhgybz2vedzgj5kf6dvxypge

Over-crowdedness Alert! Forecasting the Future Crowd Distribution [article]

Yuzhen Niu, Weifeng Shi, Wenxi Liu, Shengfeng He, Jia Pan, Antoni B. Chan
2020 arXiv   pre-print
In recent years, vision-based crowd analysis has been studied extensively due to its practical applications in real world.  ...  Moreover, to strengthen the capability of our network, we synthesize scene-specific crowd density maps using simulated data for pretraining.  ...  Specifically, we implement two flow-based methods: one is to propagate and warp the ground-truth density map of the most recent frame by optical flow; the other is to directly propagate and warp the most  ... 
arXiv:2006.05127v1 fatcat:y6vdv7foo5bfbngo76iiqhlxkq

TIME: An Open Platform for Capturing, Processing and Delivering Transport-Related Data

Jean Bacon, Alastair R. Beresford, David Evans, David Ingram, Niki Trigoni, Alexandre Guitton, Antonios Skordylis
2008 2008 5th IEEE Consumer Communications and Networking Conference  
This paper outlines how our on-going work on the TIME project (Transport Information Monitoring Environment) provides a solution, using traffic sensor systems and the design and development of an open  ...  Sensor network architecture: The existing traffic sensor deployment in Cambridge consists of 112 inductive loop sensors that generate flow and occupancy readings and propagate them to a central server  ...  Users viewing such data will then modify their behaviour, adapting future sensor readings accordingly. store sensor data in real-time; and do both of these things with due regard to personal privacy and  ... 
doi:10.1109/ccnc08.2007.158 dblp:conf/ccnc/BaconBEITGS08 fatcat:eeg7flrzubfcdnjdczbkqg3gmm

Realtime analysis of information diffusion in social media

Io Taxidou, Peter Fischer
2013 Proceedings of the VLDB Endowment  
Our high level goal is to investigate how information diffuses in real time on the underlying social network and the role of different users in the propagation process.  ...  The goal of this thesis is to investigate real-time analysis methods on social media with a focus on information diffusion.  ...  Examples of analyses in the context of of information diffusion includes: how information does propagate on real time, how fast and for how long?  ... 
doi:10.14778/2536274.2536328 fatcat:icunoeezlbcmha2wipnxave5pq

A Comparative Study of Three Test Effort Estimation Methods

Natália França Felipe, Raphael Pena Cavalcanti, Eduardo Habib Bechelane Maia, Weber Porto Amaral, Augusto Campos Farnese, Leonardo Daniel Tavares, Eustáquio São José de Faria, Clarindo Isaias Pereira da Silva e Padua, Wilson de Pádua Paula Filho
2014 Revista Cubana de Ciencias Informáticas  
Analyzing the experiment results, we concluded that the neural networks gave the best results, followed by TPA and then UCP.  ...  However, it is a time consuming activity, and its work must be estimated for successful project execution.  ...  After that, the primary test work (in person-hours) is calculated by multiplying the total count of test points by the calculated environmental factor and the applicable productivity factor.  ... 
doaj:f32233361554452ea5a3d61db19c316b fatcat:zlyhee7ayzffli77xtzrbgodve

Just do it! Combining agent-based travel demand models with queue based-traffic flow models

Matthias Heinrichs, Michael Behrisch, Jakob Erdmann
2018 Procedia Computer Science  
Proper travel demand models aim to create an equilibrium between expected travel times in the planning phase and simulated travel times after mapping the road traffic on the road network.  ...  The traffic flow model takes the sequential character of the trips into account and propagates the delay to the subsequent trips of each modelled agent, resulting in feasible trips.  ...  Traffic flow models try to route a fixed travel demand through a road network limited by the road network's speeds and capacities. Ideally, the expected travel times meet the simulated ones.  ... 
doi:10.1016/j.procs.2018.04.081 fatcat:7bvyrdnrwrcrrncijxfkxtsa2a

Intelligent video surveillance: a review through deep learning techniques for crowd analysis

G. Sreenu, M. A. Saleem Durai
2019 Journal of Big Data  
The main focus of this survey is application of deep learning techniques in detecting the exact count, involved persons and the happened activity in a large crowd at all climate conditions.  ...  Real time processing, an important issue which is yet to be explored more in this field is also considered. Not many methods are there in handling all these issues simultaneously.  ...  behavior of crowd in real time.  ... 
doi:10.1186/s40537-019-0212-5 fatcat:mh7d5d5c5zeczf5sdmgwz3claq
« Previous Showing results 1 — 15 out of 40,165 results