Relevant bibliographies by topics / Traffic

Academic literature on the topic 'Traffic'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 July 2024

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Journal articles on the topic "Traffic"

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Amin, Reuel. "Traffix : Efficient Traffic Control using IoT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (April 27, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem31872.

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This paper aims to alleviate traffic congestion brought on by antiquated, ineffective traffic management systems that are based on a predefined countdown. Long red light delays are the result of these traditional systems, which have a predefined countdown regardless of the actual traffic on a given road. Our system makes sure that time set for the traffic lights reflects the traffic density in real time, which ensures efficient use of time. In order to do this, we first compute the traffic density, which is ascertained by combining image processing methods along with the use of ultrasonic sensors. The Raspberry Pi then processes this data and then manages the time set for the traffic light. Furthermore, the use of SQL Alchemy ensures that this processed information is stored to the cloud, where it may be utilized in events of sensor failure or system malfunction. Index Terms—Image Processing, Raspberry Pi, Traffic Congestion, Ultrasonic sensors
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Hussein, Shahab A., Mahmood A. Hussein, and Saad A. Al-Rijabo. "Mechanization Assessment of Soil Compaction Induced by Traffic of Farm Machinery." IOP Conference Series: Earth and Environmental Science 1214, no. 1 (July 1, 2023): 012051. http://dx.doi.org/10.1088/1755-1315/1214/1/012051.

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Abstract This study was conducted to investigate the impacts of compacted and non-compacted soils induced by traffic of farm machines and equipment during the agricultural operations on some mechanization properties (e.g. Draught Force, Specific Resistance, Energy Use Efficiency and Soil resistance to cutting and shaping). The experiment was conducted during the spring agricultural season of 2022 in one of the farms that located about 30 km Northwest Mosul city - Nineveh Governorate - Iraq. Randomized Complete Block Design (RCBD) was used for data analyses with four replications (n=4). The experimental site was divided into two main blocks based on the investigated factors (1) two levels of rear tire pressure were tested (8 psi and 15 psi), (2) number of traffic (no traffic, one traffic, two traffics and three traffics). These variables were investigated under two different soil textures (clay soil, silty loam soil). Duncan’s multiple range test was utilized to compare between the means at a 5% probability level. The results showed that CTF system represented by non-trafficked soil has achieved the best values (P< 0.05) for all studied indicators, particularly when practiced under clay soil. Draught force was significantly better with non-trafficked soil compared to the one-traffic, two-traffics and three-traffics by approximately 30%, 33% and 40%, respectively. Energy Use Efficiency was also increased under non-trafficked soil (no-traffic) by approximately 30%, 45%, 48% compared to the one-traffic, two-traffics and three-traffics of farm machinery, respectively. The best values of the investigated indicators were reported when CTF has practiced (no-traffic) in the clay soil using 15 psi tire pressure.
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Hamarashid, Hozan Khalid, Miran Hama Rahim Saeed, and Soran Saeed. "Designing a Smart Traffic Light Algorithm (HMS) Based on Modified Round Robin Algorithm." Kurdistan Journal of Applied Research 2, no. 1 (June 30, 2017): 27–30. http://dx.doi.org/10.24017/science.2017.1.8.

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Nowadays, traffic light system is very important to avoid car crashes and arrange traffic load. In the Sulaimani City / Iraq, there are many traffic problems such as traffic congestion or traffic jam and the amount of time provided manually to the traffic light system. This is the main difficulty that we try to solve. The traffic lights exist but still do not manage traffic congestion due to the fixed time provided for each lane regardless of their different load. Therefore, we are proposing to change the traditional traffic system to smart traffic system (adaptive system). This paper Focuses on the existing system (fixed system), then propose the adaptive one. The main crucial side effects of the existing system are: Emergency cases: congested traffics might block the way of emergencies for instance ambulance, which transports people to the hospital Wasting time of people generally and specially Delays, which lead people to not to be punctual, this means people arrive late to the work Wasting more fuels as staying more in the traffics, which affects the environment by increasing pollution.
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Chaurasia, Amit, and Vivek Kumar Sehgal. "Performance of Gaussian and Non-Gaussian Synthetic Traffic on Networks-on-Chip." International Journal of Multimedia Data Engineering and Management 8, no. 2 (April 2017): 33–42. http://dx.doi.org/10.4018/ijmdem.2017040104.

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In this paper, we have worked on the bursty synthetic traffic for Gaussian and Non-Gaussian traffic traces on the NoC architecture. This is the first study on the performance of Gaussian and Non-Gaussian application traffic on the multicore architectures. The real-time traffic having the marginal distribution are Non-Gaussian in nature, so any analytical studies or simulations will not be accurate, and does not capture the true characteristics of application traffic. Simulation is performed on synthetic generated traces for Gaussian and Non-Gaussian traffic for different traffic patterns. The performance of the two traffics is validated by simulating the parameters of packet loss-probability, average link-utilization & average end-to-end latency shows that the Non-Gaussian traffic captures the burstiness more effectively as compared to the Gaussian traffic for the desired application.
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Wu, Wei Qiang, Bing Ni Luo, Pei Pei Chen, and Qin Yu Zhang. "QoS Routing Protocol Based on Resource Optimization for Aerospace Networks." Applied Mechanics and Materials 596 (July 2014): 856–60. http://dx.doi.org/10.4028/www.scientific.net/amm.596.856.

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To guarantee the QoS of the various traffics and take good advantage of the network resource, the QoS routing protocol based on resource optimization is proposed. By the network state information dynamic update and the QoS routing optimization model design, the QoS routing protocol can provide the optimal path for real-time traffic, broadband traffic and best effort traffic in time with low control message cost. Simulation shown that, compared to the traditional shortest path routing, the QoS routing can satisfy the demand of traffics and can improve the network performance.
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Royko, Yuriy, Yurii Yevchuk, and Romana Bura. "Minimization of traffic delay in traffic flows with coordinated control." Transport technologies 2021, no. 2 (December 10, 2021): 30–41. http://dx.doi.org/10.23939/tt2021.02.030.

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The method and results of transport research, carried out by field research method, on the determination of the main indicators of traffic flows with significant unevenness of the movement on the arterial street in conditions of coordinated control is reviewed in the paper. Time parameters of traffic light control for which a reduction in traffic delay is achieved in direct and opposite traffic flow by the change of permissive signal depending on traffic intensity are determined using the simulation method. Change (increase) of the duration of the permissive signal provides uninterrupted movement of vehicles` group during their passage of stop-line at traffic light objects. The proposed method can be used on sections of transport networks with coordinated control, where there is significant heterogeneity of traffic flow, and it prevents the dissipation of groups that consist of vehicles with different dynamic characteristics. Such a result is being performed in the case when in the system of automated control, which combines adjacent intersections on an arterial street, fixed-time program control of traffic light signalization is operating. In this condition, there is a possibility to adjust the duration of signals of traffic light groups by correcting the width (permissive signal duration) and angle of inclination (speed of movement) of the timeline in coordination graphs. The scientific novelty of this research is that the method of traffic delay minimization in conditions of coordinated control acquired further development. The essence of the method is in the controlled change of the range of permissive signal duration in conditions of simultaneous control of the speed of movement between adjacent intersections. Practical value is the application of different programs of traffic light control on sections of arterial streets in transport districts where a significant difference of values of traffic intensity by directions is in morning and evening peak periods.
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Manvelidze, A. B. "Air lines network modelling algorithm." Strategic decisions and risk management, no. 6 (February 13, 2018): 22–29. http://dx.doi.org/10.17747/2078-8886-2017-6-22-29.

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This analysis is dedicated to find out methods for setting of route networks where new aircraft can be effectively put into service. The conception of this analysis is based on the idea of so called connectivity principle for airports connected by passenger traffic with each other.For the passenger traffic analysis the author took passenger traffic data by federal districts starting from the Far East. Then consequently the data for Siberian, Ural, Wolga, Northwestern, Central, Southern and North Caucasian federal districts were analyzed. Passenger traffic to the Crimea was treated separately. Detailed specifications of passenger traffics were provided in order to determine the connections between airports both within federal districts and beyond them and with neighboring areas in western direction. Query of routes was done based on limitations for non-stop flight range and on minimum and maximum (for significant traffics) flight frequencies.The analysis approach lets us concentrate attention on those airlines which at best fit for putting into service of chosen aircraft. Also this method permits to determine the routes with currently insufficient or low traffics but where there’s a definite growth potential. When analysis data are combined with traffic data and tariffs, then it becomes possible to determine the most profitable routes for introduction of new aircraft. Traffic volume, actual figures and forecast, consolidated characteristics of chosen airlines, list of airlines for further studies of efficiency and competitiveness of introduced aircraft are determined.
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Singh, Arunima, and Dr Ashok Kumar Sahoo. "Traffic Sign Recognition." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (June 30, 2018): 122–26. http://dx.doi.org/10.31142/ijtsrd12783.

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Åberg, L. "Traffic rules and traffic safety." Safety Science 29, no. 3 (August 1998): 205–15. http://dx.doi.org/10.1016/s0925-7535(98)00023-x.

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Desimoni, Federico, Sergio Ilarri, Laura Po, Federica Rollo, and Raquel Trillo-Lado. "Semantic Traffic Sensor Data: The TRAFAIR Experience." Applied Sciences 10, no. 17 (August 25, 2020): 5882. http://dx.doi.org/10.3390/app10175882.

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Modern cities face pressing problems with transportation systems including, but not limited to, traffic congestion, safety, health, and pollution. To tackle them, public administrations have implemented roadside infrastructures such as cameras and sensors to collect data about environmental and traffic conditions. In the case of traffic sensor data not only the real-time data are essential, but also historical values need to be preserved and published. When real-time and historical data of smart cities become available, everyone can join an evidence-based debate on the city’s future evolution. The TRAFAIR (Understanding Traffic Flows to Improve Air Quality) project seeks to understand how traffic affects urban air quality. The project develops a platform to provide real-time and predicted values on air quality in several cities in Europe, encompassing tasks such as the deployment of low-cost air quality sensors, data collection and integration, modeling and prediction, the publication of open data, and the development of applications for end-users and public administrations. This paper explicitly focuses on the modeling and semantic annotation of traffic data. We present the tools and techniques used in the project and validate our strategies for data modeling and its semantic enrichment over two cities: Modena (Italy) and Zaragoza (Spain). An experimental evaluation shows that our approach to publish Linked Data is effective.
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Dissertations / Theses on the topic "Traffic"

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Lenkei, Zsolt. "Crowdsourced traffic information in traffic management : Evaluation of traffic information from Waze." Thesis, KTH, Transportplanering, ekonomi och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239178.

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The early observation and elimination of non-recurring incidents is a crucial task in trafficmanagement. The performance of the conventional incident detection methods (trafficcameras and other sensory technologies) is limited and there are still challenges inobtaining an accurate picture of the traffic conditions in real time. During the last decade,the technical development of mobile platforms and the growing online connectivity made itpossible to obtain traffic information from social media and applications based on spatialcrowdsourcing. Utilizing the benefits of crowdsourcing, traffic authorities can receiveinformation about a more comprehensive number of incidents and can monitor areaswhich are not covered by the conventional incident detection systems. The crowdsourcedtraffic data can provide supplementary information for incidents already reported throughother sources and it can contribute to earlier detection of incidents, which can lead tofaster response and clearance time. Furthermore, spatial crowdsourcing can help to detectincident types, which are not collected systematically yet (e.g. potholes, traffic light faults,missing road signs). However, before exploiting crowdsourced traffic data in trafficmanagement, numerous challenges need to be resolved, such as verification of the incidentreports, predicting the severity of the crowdsourced incidents and integration with trafficdata obtained from other sources.During this thesis, the possibilities and challenges of utilizing spatial crowdsourcingtechnologies to detect non-recurring incidents were examined in form of a case study.Traffic incident alerts obtained from Waze, a navigation application using the concept ofcrowdsourcing, were analyzed and compared with officially verified incident reports inStockholm. The thesis provides insight into the spatial and temporal characteristics of theWaze data. Moreover, a method to identify related Waze alerts and to determine matchingincident reports from different sources is presented. The results showed that the number ofreported incidents in Waze is 4,5 times higher than the number of registered incidents bythe Swedish authorities. Furthermore, 27,5 % of the incidents could have been detectedfaster by using the traffic alerts from Waze. In addition, the severity of Waze alerts isexamined depending on the attributes of the alerts.
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De, Nunzio Giovanni. "Traffic eco-management in urban traffic networks." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAT064/document.

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Le problème de la gestion éco-responsable du trafic urbain est adressé. Ce type de gestion du trafic vise à réduire les arrêts des véhicules, les accélérations, la consommation énergétique, ainsi que la congestion. L'éco-management du trafic dans les réseaux urbains peut être catégorisé dans deux classes principales : contrôle du véhicule et contrôle de l'infrastructure. Les deux domaines de contrôle peuvent présenter caractéristiques soit isolées soit coordonnées, en dépendant du type d'information utilisée dans l'optimisation.La gestion du trafic côté véhicule influe sur chaque véhicule en fonction de ses propres caractéristiques et position. Le contrôle isolé du véhicule vise principalement à optimiser la transmission et/ou le profil de conduite des véhicules, en utilisant éventuellement des informations sur les caractéristiques de la route, mais sans communiquer avec les autres agents du réseau. Le contrôle coordonné du véhicule, d'autre part, fait usage de la communication entre les véhicules et avec l'infrastructure pour obtenir des bénéfices plus importants en termes de consommation d'énergie et de fluidité de la circulation.En revanche, la gestion du côté infrastructure influe sur les feux et les panneaux de signalisation, afin d'améliorer les performances de l'ensemble du trafic. Le contrôle isolé de l'infrastructure régule essentiellement les feux de signalisation pour une seule intersection, ou bien les limites de vitesse dans un seul tronçon de route, sans prendre en compte les interactions avec les jonctions et/ou les sections voisines. Le contrôle coordonné de l'infrastructure surmonte cette limitation en utilisant des informations sur les conditions de circulation dans d'autres sections de la route, afin de réduire la congestion.Les contributions de ce travail peuvent être résumées comme suit.Tout d'abord, une solution pour le contrôle coordonné du véhicule a été proposée, dans laquelle la communication avec l'infrastructure est exploitée pour réduire la consommation d'énergie. En particulier, les plans des feux de signalisation sont supposés être communiqués au véhicule et connus, et une vitesse optimale est suggérée au véhicule afin de traverser une séquence de carrefours à feux sans s'arrêter, tout en suivant une trajectoire d'énergie minimale. La stratégie proposée, appliquée indépendamment à chaque véhicule, a été testée dans un simulateur de trafic microscopique afin d'évaluer l'impact sur les performances du trafic. L'analyse a montré que la consommation d'énergie et le nombre d'arrêts peuvent être considérablement réduits sans affecter le temps de parcours.Ensuite, une solution pour le contrôle isolé de l'infrastructure a été proposée. Un modèle macroscopique du trafic urbain a été introduit, et les limites de vitesse variables ont été utilisées pour améliorer les performances de la circulation. L'optimisation vise à trouver un compromis entre la réduction de consommation énergétique et le temps de parcours moyen des véhicules dans le tronçon de route considéré. Des expériences ont démontré qu'il existe une limite de vitesse optimale qui améliore les performances du trafic, et qui réduit la longueur de la file d'attente au feu de signalisation.Enfin, une solution pour le contrôle coordonné de l'infrastructure a été proposée. La synchronisation des feux de signalisation sur les grands axes de circulation a été prouvée efficace pour réduire le temps de parcours. Notre analyse a démontré qu'un problème d'optimisation peut être formalisé pour prendre en compte également les aspects énergétiques. Des expériences approfondies dans un simulateur de trafic microscopique ont montré qu'il existe une corrélation entre la progression du trafic et ses performances. La stratégie de contrôle proposée a montré qu'une réduction significative de la consommation d'énergie peut être atteinte, en éliminant presque complètement les arrêts et le temps d'arrêt, sans affecter le temps de parcours
The problem of energy-aware traffic management in urban environment is addressed. Such traffic management aims at reducing vehicle stops, accelerations, energy consumption, and ultimately congestion. The eco-management in urban traffic networks may be divided in two broad categories: vehicle-side control and infrastructure-side control. Both control domains can feature isolated or coordinated characteristics, depending on the type of information used in the optimization.The vehicle-side traffic management influences each single vehicle according to its own characteristics and position. Isolated vehicle control aims primarily at optimizing the powertrain and/or the driving profile of the vehicles, possibly using information about the road characteristics, but without communicating with the other agents of the traffic network. Coordinated vehicle control makes use of communication among vehicles and with the infrastructure in order to achieve larger benefits in terms of energy consumption and traffic fluidity.The infrastructure-side management, on the other hand, influences traffic lights and road side panels in order to improve the performance of the traffic as a whole. Isolated infrastructure control regulates essentially the traffic lights at a single signalized intersection, or the speed limits in a single stretch of road, without taking into account the interactions with the neighboring junctions and/or road sections. Coordinated infrastructure control overcomes this limitation by using information about traffic conditions in other road sections to alleviate congestion.The contributions of this work to the energy-aware traffic management may be summarized as follows.Firstly, a solution for the coordinated vehicle control has been proposed, in which communication with the infrastructure is exploited to reduce energy consumption. In particular, the traffic lights timings are assumed to be communicated to the vehicle and known, and the vehicle is suggested an optimal speed to drive through a sequence of signalized intersections without stopping, while following a minimum-energy trajectory. The proposed strategy, independently applied to each vehicle, has been tested in a microscopic traffic simulator in order to assess the impact on the traffic performance. The analysis has demonstrated that the energy consumption and the number of stops can be drastically reduced without affecting the travel time.Then, a solution for the isolated infrastructure control has been proposed. A macroscopic urban traffic model has been introduced, and the variable speed limits have been used as actuation to improve traffic performance. In particular, the analysis has been carried out at saturated traffic conditions, with given and fixed traffic lights scheduling. The optimization aims at reducing the energy consumption in trade-off with the average travel time of the vehicles in the considered road section. Experiments have demonstrated that there exists an optimal speed limit that improves traffic performance and reduces the length of the queue at the traffic light.Lastly, a solution for the coordinated infrastructure control has been proposed. Traffic lights coordination on arterials has been proved to be effective in terms of traffic delay reduction. Our analysis has demonstrated that an optimization problem can be cast to take into account also energetic aspects. Extensive experiments in a microscopic traffic simulator have showed that a correlation exists between traffic progression and traffic performance indexes, such as energy consumption, travel time, idling time, and number of stops. The proposed control strategy has showed that a significant reduction of energy consumption can be achieved, almost completely eliminating number of stops and idling time, without affecting the travel time
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Caldwell, Sean W. "On Traffic Analysis of 4G/LTE Traffic." Cleveland State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=csu1632179249187618.

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Linares, Herreros Mª Paz. "A mesoscopic traffic simulation based dynamic traffic assignment." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/144939.

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In terms of sustainability, traffic is currently a significant challenge for urban areas, where the pollution, congestion and accidents are negative externalities which have strongly impacted the health and economy of cities. The increasing use of private vehicles has further exacerbated these problems. In this context, the development of new strategies and policies for sustainable urban transport has made transport planning more relevant than ever before. Mathematical models have helped greatly in identifying solutions, as well as in enriching the process of making decisions and planning. In particular, dynamic network models provide a means for representing dynamic traffic behavior; in other words, they provide a temporally coherent means for measuring the interactions between travel decisions, traffic flows, travel time and travel cost. This thesis focuses on dynamic traffic assignment (DTA) models. DTA has been studied extensively for decades, but much more so in the last twenty years since the emergence of Intelligent Transport Systems (ITS). The objective of this research is to study and analyze the prospects for improving this problem. In an operational context, the objective of DTA models is to represent the evolution of traffic on a road network as conditions change. They seek to describe the assignment of the demand on different paths which connect every OD pair in a state of equilibrium. The behaviour following each individual decision during a trip is a time-dependent generalization of Wardrop's First Principle, the Dynamic User Equilibrium (DUE). This hypothesis is based on the following idea: When current travel times are equal and minimal for vehicles that depart within the same time interval , the dynamic traffic flow through the network is in a DUE state based on travel times for each OD pair at each instant of time ([ran-1996]). This work begins with the time-continuous variational inequalities model proposed by [friesz-1993] for solving the DUE problem. Different solutions can be used on the proposed DUE formulation. On the one hand, there are the so-called analytical approaches which use known mathematical optimization techniques for solving the problem directly. On the other hand, there are simulation-based formulations that approximate heuristic solutions at a reasonable computational cost. While analytical models concentrate mainly on deriving theoretical insights, simulation-based models focus on trying to build practical models for deployment in real networks. Thus, because the simulation-based formulation holds the most promise, we work on that approach in this thesis. In the field of simulation-based DTA models, significant progress has been made by many researchers in recent decades. Our simulation-based formulation separates the proposed iterative process into two main components: - A method for determining the new time dependent path flows by using the travel times on these paths experienced in the previous iteration. - A dynamic network loading (DNL) method, which determines how these paths flow propagate along the corresponding paths. However, it is important to note that not all computer implementations based on this algorithmic framework provide solutions that obtain DUE. Therefore, while we analyze both proposals in this thesis we focus on the preventive methods of flow reassignment because only those can guarantee DUE solutions. Our proposed simulation-based DTA method requires a DNL component that can reproduce different vehicle classes, traffic light controls and lane changes. Therefore, this thesis develops a new multilane multiclass mesoscopic simulation model with these characteristics, which is embedded into the proposed DUE framework. Finally, the developed mesoscopic simulation-based DTA approach is validated accordingly. The results obtained from the computational experiments demonstrate that the developed methods perform well.
En los últimos tiempos, el problema del tráfi co urbano ha situado a las áreas metropolitanas en una difícil situación en cuanto a sostenibilidad se refi ere (en términos de la congestión, los accidentes y la contaminación). Este problema se ha visto acentuado por la creciente movilidad promovida por el aumento del uso del vehículo privado. Además, debido a que la mayor parte del trá fico es canalizada a través de los modos de carretera, el tiempo perdido por los usuarios al realizar sus viajes tiene un importante efecto económico sobre las ciudades. En este contexto, la plani cación de transporte se vuelve relevante a través del desarrollo de nuevas estrategias y políticas para conseguir un transporte urbano sostenible. Los modelos matemáticos son de gran ayuda ya que enriquecen las decisiones de los gestores de trá fico en el proceso de plani ficación. En particular podemos considerar los modelos de trá fico para la predicción, como por ejemplo los modelos de asignación dinámica de tráfi co (ADT), los cuales proveen de una representación temporal coherente de las interacciones entre elecciones de trá fico, fl ujos de trá fico y medidas de tiempo y coste. Esta tesis se centra en los modelos ADT. Durante las últimas décadas, los modelos ADT han sido intensamente estudiados. Este proceso se ha acelerado particularmente en los últimos veinte años debido a la aparición de los Sistemas Inteligentes de Transporte. El objetivo de esta investigación es estudiar y analizar diferentes posibilidades de mejorar la resolución del problema. En un contexto operacional, el objetivo de los modelos ADT es representar la evolución de la red urbana cuando las condiciones de trá fico cambian. Estos modelos tratan de describir la asignación de la demanda en los diferentes caminos que conectan los pares OD siguiendo un estado de equilibrio. En este caso se ha considerado que el comportamiento de los conductores en cada una de sus decisiones individuales tomadas durante el viaje es una generalización dependiente del tiempo del Primer Principio de Wardrop, denominada Equilibrio Dinámico de Usuario (EDU). Esta hipótesis se basa en la siguiente idea: para cada par OD para cada instante de tiempo, si los tiempos de viaje de todos los usuarios que han partido en ese intervalo de tiempo son iguales y mínimos, entonces el ujo dinámico de trá fico en la red se encuentra en un estado de EDU basado en los tiempos de viaje (Ran and Boyce (1996)). El presente trabajo toma como punto de partida el modelo de inecuaciones variacionales continuo en el tiempo propuesto por Friesz et al. (1993) para resolver el problema de equilibrio dinámico de usuario. Por un lado, se encuentran los denominados enfoques analíticos que utilizan técnicas matemáticas de optimización para resolver el problema directamente. Por otro lado, están los modelos cuyas formulaciones están basadas en simulación que aproximan soluciones heurísticas con un coste computacional razonable. Mientras que modelos analíticos se concentran principalmente en demostrar las propiedades teóricas, los modelos basados en simulación se centran en intentar construir modelos que sean prácticos para su utilización en redes reales. Así pues, debido a que las formulaciones basadas en simulación son las que se muestran más prometedoras a la práctica, en esta tesis se ha elegido este enfoque para tratar el problema ADT. En los últimos tiempos, el campo de los modelos ADT basados en simulación ha sido de especial interés. Nuestra formulación basada en simulación consiste en un proceso iterativo que consta de dos componentes principales, sistematizadas por Florian et al. (2001) como sigue: Un método para determinar los nuevos ujos (dependientes del tiempo) en los caminos utilizando los tiempos de viaje experimentados en esos caminos en la iteración previa. Un procedimiento de carga dinámica de la red (CDR) que determine cómo esos fl ujos se propagan a través de sus correspondientes caminos. Los algoritmos de reasignación de flujo pueden ser agrupados en dos categorías: preventivos y reactivos. Es importante notar aquí que no todas las implementaciones computacionales basadas en el marco algorítmico propuesto proporcionan una solución EDU. Por lo tanto, aunque en esta tesis analizamos ambas propuestas, nos centraremos en los métodos preventivos de reasignación de flujo porque son los que nos garantizan alcanzar la hipótesis considerada (EDU). Además, nuestro modelo ADT basado en simulación requiere de una componente de CDR que pueda reproducir diferentes clases de vehículos, controles semafóricos y cambios de carril. Así, uno de los objetivos de esta tesis es desarrollar un nuevo modelo de simulación de trá fico con dichas características (multiclase y multicarril), teniendo en cuenta que será una de las componentes principales del marco ADT propuesto.
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Fehr, Alan. "Traffic 3.1 enhancing performance and functionality of traffic /." Zürich : ETH, Eidgenössische Technische Hochschule Zürich, Department of Computer Science, 2003. http://e-collection.ethbib.ethz.ch/show?type=dipl&nr=330.

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Manaka, Maakomele R. "Oncoming traffic." Thesis, Rhodes University, 2016. http://hdl.handle.net/10962/1021220.

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The poems in my collection Oncoming Traffic mainly look at the silence in my personal conflicts. Fusing different styles and tones of writing from the lyrical to the surreal, these poems grapple with issues I struggle with on a daily basis. First as a man, second as a man with a physical disability, and lastly as a black man dealing with the reality of living in a dysfunctional/disabled society. The silence in my personal conflicts means, writing what I cannot say, stripping myself bare and vulnerable. My inspiration has come from poets who articulate such silences.
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Wen, Keyao. "Traffic Accident Prediction Model Implementation in Traffic Safety Management." Thesis, Linköping University, Communications and Transport Systems, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-52203.

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As one of the highest fatalities causes, traffic accidents and collisions always requires a large amounteffort to be reduced or prevented from occur. Traffic safety management routines therefore always needefficient and effective implementation due to the variations of traffic, especially from trafficengineering point of view apart from driver education.Traffic Accident Prediction Model, considered as one of the handy tool of traffic safety management,has become of well followed with interested. Although it is believed that traffic accidents are mostlycaused by human factors, these accident prediction models would help from traffic engineering point ofview to enlarge the traffic safety level of road segments. This thesis is aiming for providing a guidelineof the accident prediction model implementation in traffic safety management, regarding to trafficengineering field. Discussion about how this prediction models should merge into the existing routinesand how well these models would perform would be given. As well, cost benefit analysis of theimplementation would be at the end of this thesis. Meanwhile, a practical field study would bepresented in order to show the procedures of the implementation of traffic accident prediction model.The field study is about this commercial model set SafeNET, from TRL Limited UK, implemented inRoad Safety Audit procedures combined with microscopic simulation tool. Detailed processing andinput and output data will be given accompany with the countermeasures for accident frequencyreduction finalization.

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Hine, Julian Paul. "Traffic barriers : the impact of traffic on pedestrian behaviour." Thesis, Heriot-Watt University, 1994. http://hdl.handle.net/10399/1310.

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Su, Ching-fong. "Efficient traffic management based on deterministically constrained traffic flows /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Warsama, Ahmed. "Traffic Engineering with SDN : Optimising traffic Load-Balancing with OpenFlow." Thesis, Mittuniversitetet, Institutionen för informationssystem och –teknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-39385.

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The advent of trends such as virtualization, cloud computing, IoT and BYOD has increased the traffic loads on modern enterprise and data-center networks. As the requirements on today’s networks increase, newer designs and solutions have sprout forth. Software-Defined Networking was developed to cater to the needs of modern networks and to improve traffic handling among other things. This study focuses on the ways SDN, specifically the OpenFlow standard, can be used to load-balance and increase the network throughput, in comparison to traditional methods such as Equal-Cost Load-Balancing. This was done by creating a test environment with the network emulator Mininet, and by creating load-balancing programs. The load-balancers were created using the OpenFlow protocol. These programs were used together with the Floodlight controller and were compared in the same environment. The results showed that the bandwidth load-balancer outperformed the Equal-Cost Load-Balancer.
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Books on the topic "Traffic"

1

Vanderbilt, Tom. Traffic. New York: Knopf Doubleday Publishing Group, 2008.

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Gazis, Denos C. Traffic theory. Boston: Kluwer Academic, 2002.

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Callegati, Franco, Walter Cerroni, and Carla Raffaelli. Traffic Engineering. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09589-4.

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Sebek, Barbara, and Stephen Deng, eds. Global Traffic. New York: Palgrave Macmillan US, 2008. http://dx.doi.org/10.1057/9780230611818.

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Salter, R. J. Traffic Engineering. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8.

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Cohen, Simon, and George Yannis, eds. Traffic Management. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119307822.

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Yannis, George, and Simon Cohen, eds. Traffic Safety. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119307853.

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Morris, Anna. Holidays. Traffic. Cheltenham: Thornes, 1991.

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Kyoichi, Tsuzuki, ed. Traffic art. Kyoto, Japan: Kyoto Shoin, 1990.

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Singer, Irma. Traffic jam. Orlando, Fla: Harcourt, 2003.

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Book chapters on the topic "Traffic"

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Weik, Martin H. "traffic." In Computer Science and Communications Dictionary, 1803. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_19816.

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Abbey, Lester. "Traffic." In Highways: An Architectural Approach, 257–70. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4684-6515-0_21.

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Mallick, Rajib B., and Tahar El-Korchi. "Traffic." In Pavement Engineering, 97–116. 4th ed. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/b23274-5.

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Salter, R. J. "Measurement of Highway Traffic Stream Speed Time and Space Mean Speeds." In Traffic Engineering, 1–6. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8_1.

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Salter, R. J. "Queueing Theory Applied to Highways." In Traffic Engineering, 36–39. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8_10.

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Salter, R. J. "Priority Intersections, Gap and Lag Acceptance." In Traffic Engineering, 40–46. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8_11.

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Salter, R. J. "Delays at Priority Intersections Illustrated by an Example." In Traffic Engineering, 47–48. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8_12.

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Salter, R. J. "The Capacity of Oversaturated Priority Intersections." In Traffic Engineering, 49–53. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8_13.

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Salter, R. J. "Geometric Delay at an At-Grade Roundabout." In Traffic Engineering, 54–56. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8_14.

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Salter, R. J. "Relationship between Entry and Circulating Flow at Roundabouts." In Traffic Engineering, 57–60. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8_15.

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Conference papers on the topic "Traffic"

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Backfrieder, Christian, Christoph F. Mecklenbrauker, and Gerald Ostermayer. "TraffSim -- A Traffic Simulator for Investigating Benefits Ensuing from Intelligent Traffic Management." In 2013 European Modelling Symposium (EMS). IEEE, 2013. http://dx.doi.org/10.1109/ems.2013.76.

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Otoshi, Tatsuya, Yuichi Ohsita, Masayuki Murata, Yousuke Takahashi, Keisuke Ishibashi, and Kohei Shiomoto. "Traffic prediction for dynamic traffic engineering considering traffic variation." In 2013 IEEE Global Communications Conference (GLOBECOM 2013). IEEE, 2013. http://dx.doi.org/10.1109/glocom.2013.6831297.

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Chiun Lin Lim and Ao Tang. "Traffic engineering with elastic traffic." In 2013 IEEE Global Communications Conference (GLOBECOM 2013). IEEE, 2013. http://dx.doi.org/10.1109/glocom.2013.6831547.

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Mrazek, Jan, Lucia Duricova Mrazkova, and Martin Hromada. "Traffic Control Through Traffic Density." In 2019 3rd European Conference on Electrical Engineering and Computer Science (EECS). IEEE, 2019. http://dx.doi.org/10.1109/eecs49779.2019.00017.

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Lindorfer, Manuel, Christian Backfrieder, Christoph F. Mecklenbrauker, and Gerald Ostermayer. "Modeling Isolated Traffic Control Strategies in TraffSim." In 2017 UKSim-AMSS 19th International Conference on Computer Modelling & Simulation (UKSim). IEEE, 2017. http://dx.doi.org/10.1109/uksim.2017.12.

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Shirazi, Mohammad Shokrolah, and Brendan Morris. "Traffic phase inference using traffic cameras." In 2017 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2017. http://dx.doi.org/10.1109/ivs.2017.7995932.

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Ma, Guozhong, Haitao Wu, and Li Cao. "Traffic Self-Organization and Traffic Management." In Second International Conference on Transportation Engineering. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41039(345)649.

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Wei, Yongtao, Jinkuan Wang, Cuirong Wang, and Junwei Wang. "Network Traffic Prediction by Traffic Decomposition." In 2012 5th International Conference on Intelligent Networks and Intelligent Systems (ICINIS). IEEE, 2012. http://dx.doi.org/10.1109/icinis.2012.93.

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Roughan, Matthew, Mikkel Thorup, and Yin Zhang. "Traffic engineering with estimated traffic matrices." In the 2003 ACM SIGCOMM conference. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/948205.948237.

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Roy, Reema Anne, and Sunita R. Patil. "Automated Traffic Management Handling Traffic Congestions." In 2022 5th International Conference on Advances in Science and Technology (ICAST). IEEE, 2022. http://dx.doi.org/10.1109/icast55766.2022.10039582.

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Reports on the topic "Traffic"

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Cochran, David, and Donald Genda. Traffic Speed Report No. 124 : Traffic Report. West Lafayette, IN: Purdue University, 1991. http://dx.doi.org/10.5703/1288284314190.

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Papadimitriou, D. Ethernet Traffic Parameters. RFC Editor, October 2010. http://dx.doi.org/10.17487/rfc6003.

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Constantine, B., and R. Krishnan. Traffic Management Benchmarking. RFC Editor, September 2015. http://dx.doi.org/10.17487/rfc7640.

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Lafferriere, Gerardo. Traffic Signal Consensus Control. Transportation Research and Education Center (TREC), 2019. http://dx.doi.org/10.15760/trec.213.

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Lafferriere, Gerardo. Traffic Signal Consensus Control. Transportation Research and Education Center (TREC), 2019. http://dx.doi.org/10.15760/trec.221.

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Brownlee, N., C. Mills, and G. Ruth. Traffic Flow Measurement: Architecture. RFC Editor, January 1997. http://dx.doi.org/10.17487/rfc2063.

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Brownlee, N., C. Mills, and G. Ruth. Traffic Flow Measurement: Architecture. RFC Editor, October 1999. http://dx.doi.org/10.17487/rfc2722.

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Ould-Brahim, H., D. Fedyk, and Y. Rekhter. BGP Traffic Engineering Attribute. RFC Editor, May 2009. http://dx.doi.org/10.17487/rfc5543.

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Nagel, K., C. L. Barrett, and M. Rickert. Large scale traffic simulations. Office of Scientific and Technical Information (OSTI), April 1997. http://dx.doi.org/10.2172/459884.

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Carlson, Jake. Traffic Flow - Purdue University. Purdue University Libraries, October 2009. http://dx.doi.org/10.5703/1288284315016.

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