Relevant bibliographies by topics / Congestion Detection and Notification

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Congestion Detection and Notification'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 February 2022

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Journal articles on the topic "Congestion Detection and Notification"

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MATSUSHIMA, Kenta, Yuki TANISAWA, and Miki YAMAMOTO. "QCN/DC: Quantized Congestion Notification with Delay-Based Congestion Detection in Data Center Networks." IEICE Transactions on Communications E98.B, no. 4 (2015): 585–95. http://dx.doi.org/10.1587/transcom.e98.b.585.

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Ta, Vinh-Thong, and Amit Dvir. "A secure road traffic congestion detection and notification concept based on V2I communications." Vehicular Communications 25 (October 2020): 100283. http://dx.doi.org/10.1016/j.vehcom.2020.100283.

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Kimura, Mitsutaka, Mitsuhiro Imaizumi, and Toshio Nakagawa. "Optimal Policy of Window Flow Control Based on Packet Transmission Interval with Explicit Congestion Notification." International Journal of Reliability, Quality and Safety Engineering 26, no. 05 (June 30, 2019): 1950024. http://dx.doi.org/10.1142/s0218539319500244.

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This paper discusses a reliability problem of window flow control scheme with Explicit Congestion Notification (ECN) in the communication system, which is an essential issue in the long-distance transmission such as cloud computing. For example, there is a problem of reduction in transmission efficiency caused by a packet loss from network congestion. In order to solve the problem, recently, High-performance and Flexible Protocol (HpFP) has been proposed and performed a verification of effectiveness by simulation. 6 HpFP provides efficient packet communication by changing a packet transmission interval [T. Murata, T. Mizuhara, A. Takagi, K. Fukushima, K. Yamamoto, Y. Nagaya, K. Muranaga and E. Kimura, HpFP: A new protocol for LFNs with packet-loss based on UDP: A basic concept and detailed design of the protocol, IEICE Technical Report 115(484) IN2015-109, pp. 7–12 (2016)]. We have discussed the reliability model of a window flow control scheme based on a packet transmission interval. 7 We have proposed the model which judges the occurrence of congestion in a network by the number of retransmission [M. Kimura, M. Imaizumi and T. Nakagawa, Reliability modelling of window flow control scheme for a communication system based on packet transmission interval, in Proc. 23rd ISSAT Int. Conf. Reliability and Quality in Design (2017), pp. 171–175]. On the other hand, ECN mechanism for the detection of incipient congestion has been already proposed. ECN mechanism is efficient for the window flow control scheme because ECN bit is set in the packet header as an indication of congestion and is avoided unnecessary packet drops. We consider a stochastic model of a window flow control scheme based on a packet transmission interval with ECN. If ECN bit has been set during connection, a packet transmission interval is prolonged. We derive the mean time until packet transmissions succeed, and analytically discuss an optimal policy to maximize the amount of packets per unit of time until the transmission succeeds.
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Lee, Chaeyoung, Hyomin Kim, Sejong Oh, and Illchul Doo. "A Study on Building a “Real-Time Vehicle Accident and Road Obstacle Notification Model” Using AI CCTV." Applied Sciences 11, no. 17 (September 3, 2021): 8210. http://dx.doi.org/10.3390/app11178210.

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This research produced a model that detects abnormal phenomena on the road, based on deep learning, and proposes a service that can prevent accidents because of other cars and traffic congestion. After extracting accident images based on traffic accident video data by using FFmpeg for model production, car collision types are classified, and only the head-on collision types are processed by using the deep learning object-detection algorithm YOLO (You Only Look Once). Using the car accident detection model that we built and the provided road obstacle-detection model, we programmed, for when the model detects abnormalities on the road, warning notification and photos that captures the accidents or obstacles, which are then transferred to the application. The proposed service was verified through application notification simulations and virtual experiments using CCTVs in Daegu, Busan, and Gwangju. By providing services, the goal is to improve traffic safety and achieve the development of a self-driving vehicle sector. As a future research direction, it is suggested that an efficient CCTV control system be introduced for the transportation environment.
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Bujari, Armir, Andrea Marin, Claudio E. Palazzi, and Sabina Rossi. "Smart-RED: A Novel Congestion Control Mechanism for High Throughput and Low Queuing Delay." Wireless Communications and Mobile Computing 2019 (April 4, 2019): 1–10. http://dx.doi.org/10.1155/2019/6941248.

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We consider the scenario in which several TCP connections share the same access point (AP) and a congestion avoidance/control mechanism is adopted with the aim of assigning the available bandwidth to the clients with a certain fairness. When UDP traffic with real-time requirements is present, the problem becomes even more challenging. Very well-known congestion avoidance mechanisms are the Random Early Detection (RED) and the Explicit Congestion Notification (ECN). More recently, the Smart Access Point with Limited Advertised Window (SAP-LAW) has been proposed. Its main idea is that of computing the maximum TCP rate for each connection at the bottleneck, taking into account the UDP traffic to keep a low queue size combined with a reasonable bandwidth utilization. In this paper, we propose a new congestion control mechanism, namely, Smart-RED, inspired by SAP-LAW heuristic formula. We study its performance by using mean field models and compare the behaviours of ECN/RED, SAP-LAW, and Smart-RED under different scenarios. We show that while Smart-RED maintains some of the desirable properties of the SAP-LAW, it solves the problems it may have in case of bursty UDP traffic or TCP connections with very different needs of bandwidth.
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Mahmud, Imtiaz, Tabassum Lubna, Geon-Hwan Kim, and You-Ze Cho. "BA-MPCUBIC: Bottleneck-Aware Multipath CUBIC for Multipath-TCP." Sensors 21, no. 18 (September 19, 2021): 6289. http://dx.doi.org/10.3390/s21186289.

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The Congestion Control Algorithm (CCA) in the Multipath Transmission Control Protocol (MPTCP) is fundamental to controlling the flow of data through multiple subflows (SF) simultaneously. The MPTCP CCA has two design goals: first, always ensure better throughput than single path TCP (SPTCP) flows, and second, collectively, MPTCP SFs going through a shared bottleneck (SB) should occupy bandwidth fairly, i.e., close to the bandwidth occupied by an SPTCP flow. Although several MPTCP CCAs exist, they primarily focus on specific scenarios and could not satisfy the design goals in diverse and dynamic scenarios. Recently, CUBIC has become a widely used CCA for SPTCP for its better compatibility with high-speed internet. CUBIC’s effective implementation in the MPTCP is expected to provide improved throughput and fairer behavior, thus satisfying the design goals. However, although the current multipath CUBIC (MPCUBIC) implementation ensures better fairness, it fails to ensure better throughput. We believe the application of same rule for SFs going through an SB and non-shared bottleneck (NSB) makes it difficult for MPCUBIC to adapt to diverse and dynamically changing network scenarios, thus resulting in poor throughput. Therefore, we present an improved version of MPCUBIC, namely bottleneck-aware MPCUBIC (BA-MPCUBIC), to resolve the throughput issue. First, we deploy an innovative bottleneck detection method that successfully differentiates between an SB and NSB based on round-trip-time, enhanced congestion notification, and packet loss. Then, we implement SPTCP CUBIC and MPCUBIC as the CCAs for SFs going through NSBs and SBs, respectively. Extensive emulation experiments demonstrate that the BA-MPCUBIC successfully detects SBs and NSBs with the highest detection accuracy and the lowest detection time compared with other approaches. Moreover, BA-MPCUBIC successfully satisfies the MPTCP design goals in the considered diverse and dynamic scenarios by ensuring both better throughput and fairness.
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Bhuiyan, MM, and MM Billah. "Wind turbine monitoring system using wireless sensor networks." Journal of the Bangladesh Agricultural University 11, no. 2 (August 11, 2014): 321–30. http://dx.doi.org/10.3329/jbau.v11i2.19936.

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Wireless sensor networks can be used in wind farm monitoring where periodic data collection about the sound generated inside the farm as well as detection and monitoring of faulty wind turbines is necessary. Periodic sound data collection requires reliability while faults detection necessitates timeliness. Simultaneous data gathering and faults monitoring was not well studied in literature. This paper proposed a system model that worked on homogeneous data gathering Wireless sensor networks deployed in wind farms. When a wind turbine became faulty, a cluster with a different transmission channel around that wind turbine was formed and both periodic sound data gathering and faults monitoring were performed at the same time. The proposed model had a novel routing strategy with a built-in congestion control technique to provide timely delivery of faults data. Experimental results show that the proposed method performed better than known similar techniques in terms of reliable data gathering and reliable timely faults monitoring. Due to lower number of high power transmissions, the proposed method had 8% to 17% higher success rate of regular system and 94% of accuracy at the fault monitoring. In terms of timely faults detection and notification, this method had a comparative performance to the existing methods. DOI: http://dx.doi.org/10.3329/jbau.v11i2.19936 J. Bangladesh Agril. Univ. 11(2): 321-330, 2013
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Durresi, Arjan, Leonard Barolli, Raj Jain, and Makoto Takizawa. "Congestion Control Using Multilevel Explicit Congestion Notification." IPSJ Digital Courier 3 (2007): 42–54. http://dx.doi.org/10.2197/ipsjdc.3.42.

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Floyd, Sally. "TCP and explicit congestion notification." ACM SIGCOMM Computer Communication Review 24, no. 5 (October 20, 1994): 8–23. http://dx.doi.org/10.1145/205511.205512.

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Kuzmanovic, Aleksandar. "The power of explicit congestion notification." ACM SIGCOMM Computer Communication Review 35, no. 4 (October 2005): 61–72. http://dx.doi.org/10.1145/1090191.1080100.

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Dissertations / Theses on the topic "Congestion Detection and Notification"

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Rui, Zhu. "Moving Object Trajectory Based Intelligent Traffic Information Hub." Thesis, KTH, Geodesi och geoinformatik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-134944.

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Congestion is a major problem in most metropolitan areas and given the increasingrate of urbanization it is likely to be an even more serious problem in the rapidlyexpanding mega cities. One possible method to combat congestion is to provide in-telligent traffic management systems that can in a timely manner inform drivers aboutcurrent or predicted traffic congestions that are relevant to them on their journeys. Thedetection of traffic congestion and the determination of whom to send in advance no-tifications about the detected congestions is the objective of the present research. Byadopting a grid based discretization of space, the proposed system extracts and main-tains traffic flow statistics and mobility statistics from the grid based recent trajectoriesof moving objects, and captures periodical spatio-temporal changes in the traffic flowsand movements by managing statistics for relevant temporal domain projections, i.e.,hour-of-day and day-of-week. Then, the proposed system identifies a directional con-gestion as a cell and its immediate neighbor, where the speed and flow of the objectsthat have moved from the neighbor to the cell significantly deviates from the histori-cal speed and flow statistics. Subsequently, based on one of two notification criteria,namely, Mobility Statistic Criterion (MSC) and Linear Movement Criterion (LMC),the system decides which objects are likely to be affected by the identified conges-tions and sends out notifications to the corresponding objects such that the numberof false negative (missed) and false positive (unnecessary) notifications is minimized.The thesis discusses the design and DBMS-based implementation of the proposedsystem. Empirical evaluations on realistically simulated trajectory data assess the ac-curacy of the methods and test the scalability of the system for varying input sizes andparameter settings. The accuracy assessment results show that the MSC based systemachieves an optimal performance with a true positive notification rate of 0.67 and afalse positive notification rate of 0.05 when min prob equals to 0.35, which is superiorto the performance of the LMC based system. The execution time of- and the spaceused by the system scales linearly with the input size (number of concurrently movingvehicles) and the methods mutually dependent parameters (grid resolution r and RTlength l) that jointly define a spatio-temporal resolution. Within the area of a large  city (40km by 40km), assuming a 60km/h average vehicle speed, the system, runningon a commodity personal computer, can manage the described congestion detectionand three-minute-ahead notification tasks within real-time requirements for 2000 and20000 concurrently moving vehicles for spatio-temporal resolutions (r=100m, l=19)and (r=2km, l=3), respectively.
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Zheng, Zici. "Adaptive explicit congestion notification (AECN) for heterogeneous flows." Link to electronic thesis, 2001. http://www.wpi.edu/Pubs/ETD/Available/etd-0502101-062544.

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Ahmed, Uvaiz. "Performance evaluation of explicit congestion notification method in IP networks ECN and BECN." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0020/MQ48467.pdf.

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Makkar, Rupinder Singh. "QoS control for IP networks, buffer management and backward explicit congestion notification (BECN)." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ61021.pdf.

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Ahmed, Uvaiz Carleton University Dissertation Engineering Systems and Computer. "Performance evaluation of explicit congestion notification methods in IP networks ECN and BECN." Ottawa, 1999.

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Zetterlund, Samuel. "Blind swimmer detection and notification utilizing OpenCV on the Android platform." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-25084.

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For a blind swimmer to be able to exercise in a swimming pool today, human assistance is required to notifying the swimmer in due time when and if she is too close to the edge. The purpose of this thesis was to see whether or not it is possible to replace and even improve the human intervention using a warning system built around a tablet mounted next to the pool edge. A secondary goal was to evaluate how suitable a tablet pc is for robotic applications. The system proposed utilizes a tablet’s built-in frontal facing camera, OpenCV as vision library, FM modules for the wireless warning system and is intended for the Android environment. Videos of the real scenario have been analyzed on a computer using OpenCV and a detection algorithm searching for the swimmer’s red swimming cap has been developed. Next, the algorithm was implemented on an Android tablet. The result obtained shows that it is perfectly possible to use a cheap tablet to accurately detect and notify the blind swimmer in due time when she is too close to the edge. If calibrated thoroughly, the likelihood of a missed detection is actually lower with this system as compared to human intervention, as humans can only warn the swimmer when she is above the water.
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Montojo, Villasanta Javier, and Viñas Manuel Maqueda. "Congestion Identification in a Radio Access Transport Network." Thesis, KTH, Radio Systems Laboratory (RS Lab), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-142437.

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The convergence of mobile services and Internet has brought a radical change in mobile networks. An all IP network architecture, an evolution of the radio access transport network, is required to support new high-bandwidth services. Unfortunately, existing control mechanisms are insufficient to guarantee end users a high quality of experience. However, coordinating radio and transport network resources is expected to yield a more efficient solution. This thesis project investigates the interactions between the congestion avoidance protocols, explicit congestion notification, and the traffic engineering metrics for latency and bandwidth, when using Open Shortest Path First with traffic engineering (OSPF-TE) as a routing protocol. Using knowledge of these interactions, it is possible to identify the appearance of bottlenecks and to control the congestion in the transport links within a radio access transport network. Augmenting a topology map with the network’s current characteristics and reacting to evidence of potential congestion, further actions, such as handovers can be taken to ensure the users experience their expected quality of experience. The proposed method has been validated in a test bed. The results obtained from experiments and measurements in this test bed provide a clear picture of how the traffic flows in the network. Furthermore, the behavior of the network observed in these experiments, in terms of real-time performance and statistical analysis of metrics over a period of time, shows the efficiency of this proposed solution.
Tjänstekonvergensen av Internet- och mobila tjänster har medfört en radikal förändring i mobilnäten. En ”All IP” nätverksarkitektur, en utveckling av radios transportnät. Utvecklingen krävs för att stödja de nya bredbandiga tjänsterna. Tyvärr är befintliga kontrollmekanismer otillräckliga för att garantera användarens kvalitetsupplevelse. Med att samordna radio- och transportnätverkets resurser förväntar man sig en effektivare lösning. Detta examensarbete undersöker samspelet mellan protokoll för att undvika överlast, direkt indikation av överlast och trafikal statistik för fördröjning och bandbredd med trafikstyrning baserat på fördröjning och bandbredd , vid användning av Open Shortest Path First ( OSPF - TE ) som routingprotokoll. Med hjälp av information om dessa interaktioner, är det möjligt att identifiera uppkomsten av flaskhalsar och för att styra trafikstockningar i transportförbindelser inom ett radioaccess transportnät. En utökad topologikarta med nätverkets aktuella egenskaper kommer att reagera på en potentiell överbelastning. Ytterligare åtgärder, till exempel överlämningar, vidtas i mobilnätet för att säkerställa användarens upplevda kvalitet. Den föreslagna metoden har validerats i en testmiljö. Resultaten från experiment och mätningar i denna testmiljö ger en tydlig bild av hur trafikflödena framskrider i nätverket. Beteendet hos nätverket som observeras i dessa experiment, i termer av realtidsprestanda och statistisk analys av mätvärden över en tidsperiod, visar effektiviteten av denna föreslagna lösning.
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Goyal, Prateesh. "Elasticity detection : a building block for internet congestion control." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120404.

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Thesis: S.M. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 61-64).
This thesis develops a technique to detect whether the cross traffic competing with a flow is elastic or not, and shows how to use the elasticity detector to improve congestion control. If the cross traffic is elastic, i.e., made up of flows like Cubic or NewReno that increase their rate when they perceive available bandwidth, then one should use a scheme that competes well with such traffic. Such a scheme will not be able to control delays because the cross traffic will not cooperate to maintain low delays. If, however, cross traffic is inelastic, then one can use a suitable delay-controlled algorithm. Our elasticity detector uses an asymmetric sinusoidal pulse pattern and estimates elasticity by computing the frequency response (FFT) of the cross traffic estimate; we have measured its accuracy to be over 90%. We present the design and evaluation of Nimbus, a congestion control protocol that uses the elasticity detector to switch between delay-control and TCP-competitive modes. Our results on emulated and real-world paths show that Nimbus achieves throughput comparable to or better than Cubic always, but with delays that are much lower when cross traffic is inelastic. Unlike BBR, Nimbus is fair to Cubic, and has significantly lower delay by 40-50 ms. Compared to Copa, which also switches between a delay-controlling and a TCP-competitive mode, Nimbus is more robust at correctly detecting the nature of cross traffic, and unlike Copa, it is usable by a variety of delay-based and TCP-competitive methods.
by Prateesh Goyal.
S.M. in Computer Science and Engineering
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Cai, Kan. "Interference mitigation and detection in wifi networks under congestion." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/53933.

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In IEEE 802.11, nodes regulate access to the airspace they share in a decentralized fashion using CSMA/CA. The goal of this approach is to share the common airspace fairly and efficiently without requiring centralized channel administration or direct coordination among peer nodes. However, it is well known that strong interference, as consequence of this de-centralized coordination scheme, can lead to extremely unfair network bandwidth allocation between competing devices. Interference detection and mitigation has posed great challenges. The cause of interference is complicated, involving many networking factors such as topology and traffic, and the interference relationship changes all the time. This thesis addresses these challenges by proposing a throttling based interference mitigation system (Shaper) and an online passive interference detection system (VOID). The main contribution of this thesis is to point out the correlated relationship between interference and congestion. First, this thesis provides a more thorough analysis on the impact of node topology, traffic type and signal strength on wireless performance. We came up with 9 UDP models and 10 TCP models just for two competing flow scenarios. The outcome of wireless interference can get harder to predict, however, as we introduce more factors into the interference model such as more competing nodes, sending rate, signal propagation model, etc. On the other hand, this thesis identifies the immediate cause to the unfair bandwidth distribution under interference: 802.11 network congestion. We observed and explained that all competing devices are able to perform well regardless of topology or traffic class, as long as there is sufficiently more bandwidth than the aggregate throughput demands. Therefore, we propose to trade the aggregate throughput to mitigate the impact of interference and prove its effectiveness through simulation and emulation. Finally, the key to successful addressing the interference is an accurate and fast interference detection mechanism and this thesis proposes such a system called VOID. It deploys the correlation between congestion and interference to infer the interference relationship from the ip-layer throughput variations. It is fast, accurate and more importantly, very easy to deploy in existing WiFi networks.
Science, Faculty of
Computer Science, Department of
Graduate
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Thorri, Sigurdsson Thorsteinn. "Road traffic congestion detection and tracking with Spark Streaming analytics." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254874.

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Road traffic congestion causes several problems. For instance, slow moving traffic in congested regions poses a safety hazard to vehicles approaching the congested region and increased commuting times lead to higher transportation costs and increased pollution.The work carried out in this thesis aims to detect and track road traffic congestion in real time. Real-time road congestion detection is important to allow for mechanisms to e.g. improve traffic safety by sending advanced warnings to drivers approaching a congested region and to mitigate congestion by controlling adaptive speed limits. In addition, the tracking of the evolution of congestion in time and space can be a valuable input to the development of the road network. Traffic sensors in Stockholm’s road network are represented as a directed weighted graph and the congestion detection problem is formulated as a streaming graph processing problem. The connected components algorithm and existing graph processing algorithms originally used for community detection in social network graphs are adapted for the task of road congestion detection. The results indicate that a congestion detection method based on the streaming connected components algorithm and the incremental Dengraph community detection algorithm can detect congestion with accuracy at best up to 94% for connected components and up to 88% for Dengraph. A method based on hierarchical clustering is able to detect congestion while missing details such as shockwaves, and the Louvain modularity algorithm for community detection fails to detect congested regions in the traffic sensor graph.Finally, the performance of the implemented streaming algorithms is evaluated with respect to the real-time requirements of the system, their throughput and memory footprint.
Vägtrafikstockningar orsakar flera problem. Till exempel utgör långsam trafik i överbelastade områden en säkerhetsrisk för fordon som närmar sig den överbelastade regionen och ökade pendeltider leder till ökade transportkostnader och ökad förorening.Arbetet i denna avhandling syftar till att upptäcka och spåra trafikstockningar i realtid. Detektering av vägtrafiken i realtid är viktigt för att möjliggöra mekanismer för att t.ex. förbättra trafiksäkerheten genom att skicka avancerade varningar till förare som närmar sig en överbelastad region och för att mildra trängsel genom att kontrollera adaptiva hastighetsgränser. Dessutom kan spårningen av trängselutveckling i tid och rum vara en värdefull inverkan på utvecklingen av vägnätet. Trafikavkännare i Stockholms vägnät representeras som en riktad vägd graf och problemet med överbelastningsdetektering är formulerat som ett problem med behandling av flödesgrafer. Den anslutna komponentalgoritmen och befintliga grafbehandlingsalgoritmer som ursprungligen användes för communitydetektering i sociala nätgravar är anpassade för uppgiften att detektera vägtäthet. Resultaten indikerar att en överbelastningsdetekteringsmetod baserad på den strömmande anslutna komponentalgoritmen och den inkrementella Dengraph communitydetekteringsalgoritmen kan upptäcka överbelastning med noggrannhet i bästa fall upp till 94% för anslutna komponenter och upp till 88% för Dengraph. En metod baserad på hierarkisk klustring kan detektera överbelastning men saknar detaljer som shockwaves, och Louvain modularitetsalgoritmen för communitydetektering misslyckas med att detektera överbelastade områden i trafiksensorns graf.Slutligen utvärderas prestandan hos de implementerade strömmalgoritmerna med hänsyn till systemets realtidskrav, deras genomströmning och minnesfotavtryck.
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Books on the topic "Congestion Detection and Notification"

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Gabler, Hampton Clay. Development of a low-cost automated crash notification system. Trenton, N.J: New Jersey Dept. of Transportation, 2001.

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Hallenbeck, Mark E. Use of automatic vehicle identification techniques for measuring traffic performance and performing incident detection: Final report. [Olympia, Wash.?]: TransNow, Transportation Northwest, University Transportation Centers Program, Federal Region Ten, Washington State Dept. of Transportation, Transit, Research, and Intermodal Planning Division, in cooperation with the U.S. Dept. of Transportation, Federal Highway Administration, 1992.

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Paselk, Theodore Alan. Automated vehicle delay estimation and motorist information at the U.S./Canadian Border: Final technical report, Research Project GC 8719, Task 41, Automated Motorist Information Detection System. [Olympia, Wash.?]: Washington State Dept. of Transportation, Washington State Transportation Commission in cooperation with the U.S. Dept. of Transportation, Federal Highway Administration, 1992.

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New Jersey. Legislature. Senate. Committee on Law, Public Safety, and Defense. Public hearing before Senate Law, Public Safety, and Defense Committee: To elicit testimony for discussion on the role of local governmental and law enforcement officials on monitoring the transportation of hazardous materials, receiving regular and timely notification when hazardous materials are transported through any municipality and effectively enforcing current laws regulating the transportation of hazardous materials in this state : May 4, 1988, Paramus Borough Hall, Paramus, New Jersey. Trenton, N.J: The Committee, 1988.

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Congestion control in ATM networks: Explicit congestion notification. Ottawa: National Library of Canada, 1994.

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Till, Robert C., and J. Walter Coon. Fire Protection: Detection, Notification, and Suppression. Springer, 2018.

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Till, Robert C. Fire Protection: Detection, Notification, and Suppression. Springer, 2018.

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Santibañez Gruber, Rosa Maria, and Antonia Caro González, eds. DEUSTO Social Impact Briefings No. 4 (2019). University of Deusto, 2020. http://dx.doi.org/10.18543/dsib-4(2020).

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This fourth edition of the DSIB presents the main results of the research carried out under four broad-based projects jointly developed by researchers and actors involved in topics of great social relevance such as responsible gambling, Cooperative-Intelligent transport Systems, gender dimension of alcohol addiction and support and care for victims of trafficking for sexual exploitation. This issue comprises the following four briefings: 1. What would sports betting advertising be like if it were handled more responsibly? will analyse the structure of sports betting advertising, in an attempt to understand whether such advertising could become a public health issue. This briefing examines different works that have led to scientific publications and presents their main conclusions as well as the major recommendations for gambling companies and regulators. 2. How can artificial intelligence reduce road traffic accidents and prevent congestion? This briefing seeks to present the benefits of the TIMON system for optimising traffic management and urban transport network operations in cities, directly supporting transport managers in their decision-making processes for transport operations. 3. Gender inequalities in matters of drug addiction: how does alcoholism really affect women? aims to study the phenomenon of drug dependence from a gender perspective. This involves identifying what kind of socio-cultural and psychological representations are involved in women, according to their gender role, so that they develop a series of risk factors for them, both for the beginning of consumption and in its continuity. In addition, the research team proposes guidelines for a specialized care for women in this area, in order to increase the effectiveness of required interventions. 4. Key points for supporting and accompanying victims and survivors of human trafficking for sexual exploitation is intended as a working document for specialists involved in the prevention and detection of cases and in support and care for victims. It seeks to fill the current gaps and meet the needs of women victims of trafficking providing a better response to their situations.
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Book chapters on the topic "Congestion Detection and Notification"

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Makrucki, B. A. "Explicit Forward Congestion Notification in ATM Networks." In High-Speed Communication Networks, 73–96. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3450-1_6.

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Trammell, Brian, Mirja Kühlewind, Damiano Boppart, Iain Learmonth, Gorry Fairhurst, and Richard Scheffenegger. "Enabling Internet-Wide Deployment of Explicit Congestion Notification." In Passive and Active Measurement, 193–205. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15509-8_15.

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Pentikousis, Kostas, and Hussein Badr. "On the Resource Efficiency of Explicit Congestion Notification." In NETWORKING 2002: Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications, 588–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47906-6_47.

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Liu, Wu, Hai-Xin Duan, Jian-Ping Wu, Xing Li, and Ping Ren. "Algorithms for Congestion Detection and Control." In Grid and Cooperative Computing - GCC 2004 Workshops, 374–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30207-0_47.

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Kinicki, Robert, and Zici Zheng. "A Performance Studym of Explicit Congestion Notification (ECN) with Heterogeneous TCP Flows." In Networking — ICN 2001, 98–106. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-47728-4_10.

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Kim, Byung-Chul, Young-Soo Choi, and You-Ze Cho. "A New Packet Marking Strategy for Explicit Congestion Notification in the Internet." In Information Networking: Wired Communications and Management, 431–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45803-4_39.

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Georgoulas, Stylianos, Klaus Moessner, Alexis Mansour, Menelaos Pissarides, and Panagiotis Spapis. "A Fuzzy Reinforcement Learning Approach for Pre-Congestion Notification Based Admission Control." In Dependable Networks and Services, 26–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30633-4_4.

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Noori, Mohammed Ahsan Raza, and Ritika Mehra. "Traffic Congestion Detection from Twitter Using word2vec." In ICT Analysis and Applications, 527–34. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8354-4_52.

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Grover, Lakshay, V. B. Kirubanand, and Joy Paulose. "Smart Car – Accident Detection and Notification Using Amazon Alexa." In Internet of Things (IoT), 391–407. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37468-6_21.

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Tahir, Hatim Mohamad, Abas Md Said, Mohammed J. M. Elhalabi, Nurnasran Puteh, Azliza Othman, Nurzaid Muhd Zain, Zulkhairi Md Dahalin, Muhammad Hafiz Ismail, Khuzairi Mohd Zaini, and Mohd Zabidin Hussin. "Improving Network Performance by Enabling Explicit Congestion Notification (ECN) in SCTP Control Chunks." In Digital Information Processing and Communications, 288–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22389-1_26.

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Conference papers on the topic "Congestion Detection and Notification"

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Yuan, Quan, Zhihan Liu, and Fangchun Yang. "Traffic Congestion Detection and Notification in the Urban Expressway System Using VANETs." In Second International Conference on Transportation Information and Safety. Reston, VA: American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784413036.008.

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Gidófalvi, Győző. "Scalable selective traffic congestion notification." In SIGSPATIAL'15: 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2834126.2834134.

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Zhang, Xinyang, and Anna Charny. "Performance Evaluation of Pre-Congestion Notification." In 2008 16th International Workshop on Quality of Service. IEEE, 2008. http://dx.doi.org/10.1109/iwqos.2008.29.

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Lehrieder, F., and M. Menth. "Marking Conversion for Pre-Congestion Notification." In ICC 2009 - 2009 IEEE International Conference on Communications. IEEE, 2009. http://dx.doi.org/10.1109/icc.2009.5199164.

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Kuzmanovic, Aleksandar. "The power of explicit congestion notification." In the 2005 conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1080091.1080100.

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Swenson, Brian Paul, and George F. Riley. "Implementing explicit congestion notification in ns-3." In the 2014 Workshop. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2630777.2630782.

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McQuistin, Stephen, and Colin S. Perkins. "Is Explicit Congestion Notification usable with UDP?" In IMC '15: Internet Measurement Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2815675.2815716.

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Durresi, Arjan, Mukundan Sridharan, Chunlei Liu, and Raj Jain. "Improved explicit congestion notification for satellite networks." In ITCom 2001: International Symposium on the Convergence of IT and Communications, edited by Mohammed Atiquzzaman and Mahbub Hassan. SPIE, 2001. http://dx.doi.org/10.1117/12.434366.

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Menth, M., J. Babiarz, and P. Eardley. "Pre-Congestion Notification Using Packet-Specific Dual Marking." In 2009 IEEE International Conference on Communications Workshops. IEEE, 2009. http://dx.doi.org/10.1109/iccw.2009.5207974.

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Gomez, Cesar A., Xianbin Wang, and Abdallah Shami. "Intelligent Active Queue Management Using Explicit Congestion Notification." In GLOBECOM 2019 - 2019 IEEE Global Communications Conference. IEEE, 2019. http://dx.doi.org/10.1109/globecom38437.2019.9013475.

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Reports on the topic "Congestion Detection and Notification"

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Eardley, P., ed. Pre-Congestion Notification (PCN) Architecture. RFC Editor, June 2009. http://dx.doi.org/10.17487/rfc5559.

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Briscoe, B. Tunnelling of Explicit Congestion Notification. RFC Editor, November 2010. http://dx.doi.org/10.17487/rfc6040.

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Briscoe, B., and J. Manner. Byte and Packet Congestion Notification. RFC Editor, February 2014. http://dx.doi.org/10.17487/rfc7141.

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Luckie, M. Really Explicit Congestion Notification (RECN). RFC Editor, April 2015. http://dx.doi.org/10.17487/rfc7514.

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Karagiannis, G., K. Chan, T. Moncaster, M. Menth, P. Eardley, and B. Briscoe. Overview of Pre-Congestion Notification Encoding. RFC Editor, July 2012. http://dx.doi.org/10.17487/rfc6627.

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Westerlund, M., I. Johansson, C. Perkins, P. O'Hanlon, and K. Carlberg. Explicit Congestion Notification (ECN) for RTP over UDP. RFC Editor, August 2012. http://dx.doi.org/10.17487/rfc6679.

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Spring, N., D. Wetherall, and D. Ely. Robust Explicit Congestion Notification (ECN) Signaling with Nonces. RFC Editor, June 2003. http://dx.doi.org/10.17487/rfc3540.

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Black, D. Relaxing Restrictions on Explicit Congestion Notification (ECN) Experimentation. RFC Editor, January 2018. http://dx.doi.org/10.17487/rfc8311.

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Fairhurst, G., and M. Welzl. The Benefits of Using Explicit Congestion Notification (ECN). RFC Editor, March 2017. http://dx.doi.org/10.17487/rfc8087.

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Ramakrishnan, K., S. Floyd, and D. Black. The Addition of Explicit Congestion Notification (ECN) to IP. RFC Editor, September 2001. http://dx.doi.org/10.17487/rfc3168.

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