Este estudo tem por objetivo propor um método para aprimorar a estimativa de emissões veiculares em áreas urbanas através da utilização de modelagem híbrida de tráfego associada a modelos de previsão de emissões. A modelagem híbrida agrega as vantagens individuais das abordagens agregada e desagregada de tráfego, uma vez que combina a micro-simulação de tráfego em áreas específicas com a simulação agregada em uma área de estudo mais abrangente. O método proposto neste trabalho foi consolidado a partir do desenvolvimento de um estudo de caso que consistiu na modelagem de uma rede viária com características distintas de infraestrutura e operação viárias. Os resultados do estudo de caso permitiram a identificação de trechos da rede viária nos quais as estimativas de emissões provenientes de modelos agregados foram significativamente diferentes das estimativas derivadas de modelos microscópicos, demonstrando a importância de uma abordagem híbrida. A utilização do método proposto pode embasar a elaboração e implementação de políticas de transportes que busquem reduzir a ocorrência de eventos responsáveis pela geração de elevados níveis de emissões. / This study aims to propose a method to improve the vehicle emissions estimation in urban area. The method associates hybrid traffic flow models with emission models. Hybrid traffic modeling combines the specific advantages of aggregate and disaggregated approaches, since they integrate traffic microssimulation in specific areas with agregated simulation in a wide area. The development of the proposed method was based on a case study consisting in the modeling a road network with different operations and infrastructure characteristics. Case study results indicated that emission estimates obtained from aggregated models were significantly different from emission estimates derived from microscopic models on some road segments, emphasizing the importance of a hybrid approach adopted in the method proposed in this work. The proposed method can be used to guide the development and implementation of transportation policies that aim to reduce the number of traffic events responsible for high levels of emissions.

Orientador: Varese Salvador Timóteo / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Tecnologia / Made available in DSpace on 2018-08-19T02:14:36Z (GMT). No. of bitstreams: 1 Pinotti_FernandoLuiz_M.pdf: 996964 bytes, checksum: a6ab776d59d9b99c17725660a37049c1 (MD5) Previous issue date: 2011 / Resumo: Esta dissertação apresenta dois estudos, o primeiro trata de uma substituição do socket pela pilha TCP/IP uIP de um gerador de trafego multimídia sobre IP com o objetivo de manipularmos os campos dos cabeçalhos IP (Ipv4 Type of Service, e Ipv6 Traffic Class), que serão utilizados para a identificação dos serviços multimídia. O gerador gera diferentes tráfegos multimídia simultâneos seguindo funções de distribuições conhecidas utilizando o conceito de thread. O segundo estudo trata de modelos de simulações utilizando o simulador de eventos discretos ARENA. Propomos três diferentes modelos de simulação que simulam ambientes multimídia, onde serviços stream e elástico são requisitados simultaneamente pelos usuários. No modelo 1 foram realizados simulações propondo um estudo de demanda de requisições dos usuários. Onde, três cenários foram estudados. O primeiro, quando ocorre um aumento repentino de usuários, com isso aumentando o intervalo de requisições dos serviços. O segundo cenário, quando a duração dos serviços aumentam ocorrendo bloqueios de novos serviços por falta de recursos. E o terceiro cenário e com relação ao Controle de Admissão de Chamada (CAC) do sistema. Os modelos 2 e 3 são ambientes VPN, onde e estudado o Sojourn, tempo que o pacote leva para chegar ao host de destino. A principal diferença entre os dois modelos e que o modelo 2 não apresenta a implementação de atributos como jitter e latência. O jitter e latência influenciam no tempo que leva para o quadro ser entregue ao seu destino, podendo causar diversos problemas nos serviços stream, como degradação da qualidade do serviço ou bloqueio do serviço. O estudo de modelos de simulações e de grande importância para a validação dos resultados obtidos na emulação do gerador de tráfegos multimídia, tendo em conta que na simulação os pacotes não são transmitidos através de um meio físico, e no emulador são transmitidos de um host a outro utilizando Ethernet / Abstract: This dissertation presents two studies, the first is a replacement of a socket for a TCP/IP stack uIP of a multimedia traffic generator over IP in order to manipulate the fields of IP headers (IPv4 Type of Service and IPv6 Traffic Class), which will be used for the multimedia services identification. The multimedia traffic generator generates simultaneous multimedia services following different well known distributions functions using the concept of thread. A second study of simulation models is propose using the discrete event simulator ARENA, we propose three different simulation model witch simulates multimedia environments, where stream and elastics services are required simultaneous by users. The model 1 were performed simulations proposing a request demand study from the users. Where three scenarios were studied. The first when occurs a sudden increase of users, thereby increasing the range of requests of services. The second scenario when the length of services increases, occurring blockages of new services due the lack of resources, for example, trunks in a telephony exchange. The third scenario is related to Call Admission Control (CAC) system. Models 2 and 3 are VPN environments, where is studied the sojourn, time that the packet takes to reach the destination. The main differences between the two models is that the model 2 does not preset the attributes implementation jitter and latency. The jitter and latency affects the time it takes the frame to be delivered to its destination, may cause various problems in streaming services, such as quality of service degradation or blocking the service. The study of simulation models are of great importance for the emulation's results validations of the multimedia traffic generator, taking into account that the simulation packets are not transmitted over a physical structure, and the emulation are transmitted from one host to another using Ethernet LAN / Mestrado / Tecnologia e Inovação / Mestre em Tecnologia

Despite the significant investments over the last few decades to enhance and improve road infrastructure worldwide, the capacity of road networks has not kept pace with the ever increasing growth in demand. As a result, congestion has become endemic to many highways and city streets. As an alternative to costly and sometimes infeasible construction of new roads, transportation departments are increasingly looking at ways to improve traffic flow over the existing infrastructure. The biggest challenge in accomplishing this goal is the ability to sample traffic data, estimate traffic current state, and forecast its future behavior. In this thesis, we first address the problem of traffic sampling where we propose strategies for frugal sensing where we collect a fraction of the observed traffic information to reduce costs while achieving high accuracy. Next we demonstrate how traffic estimation using deterministic traffic models can be improved using proposed data reconstruction techniques. Finally, we propose how mixture of experts algorithm which consists of two regime-specific linear predictors and a decision tree gating function can improve short-term and long-term traffic forecasting. As mobile devices become more pervasive, participatory sensing is becoming an attractive way of collecting large quantities of valuable location-based data. An important participatory sensing application is traffic monitoring, where GPS-enabled smartphones can provide invaluable information about traffic conditions. We propose a strategy for frugal sensing in which the participants send only a fraction of the observed traffic information to reduce costs while achieving high accuracy. The strategy is based on autonomous sensing, in which participants make decisions to send traffic information without guidance from the central server, thus reducing the communication overhead and improving privacy. To provide accurate and computationally efficient estimation of the current traffic, we propose to use a budgeted version of the Gaussian Process model on the server side. The experiments on real-life traffic data sets indicate that the proposed approach can use up to two orders of magnitude less samples than a baseline approach with only a negligible loss in accuracy. The estimation of the state of traffic provides a detailed picture of the conditions of a traffic network based on limited traffic measurements and, as such, plays a key role in intelligent transportation systems. Most often, traffic measurements are aggregated over multiple time steps, and this procedure raises the question of how to best use this information for state estimation. Reconstructing the high-resolution measurements from the aggregated ones and using them to correct the state estimates at every time step are proposed. Several reconstruction techniques from signal processing, including kernel regression and a reconstruction approach based on convex optimization, were considered. Experimental results show that signal reconstruction leads to more accurate traffic state estimation as compared with the standard approach for dealing with aggregated measurements. Accurate traffic speed forecasting can help in trip planning by allowing travelers to avoid congested routes, either by choosing alternative routes or by changing the departure time. An important feature of traffic is that it consists of free flow and congested regimes, which have significantly different properties. Training a single traffic speed predictor for both regimes typically results in suboptimal accuracy. To address this problem, a mixture of experts algorithm which consists of two regime-specific linear predictors and a decision tree gating function was developed. Experimental results showed that mixture of experts approach outperforms several popular benchmark approaches. / Computer and Information Science

We consider the Lighthill-Whitman-Richards traffic model on a network consisting of a highway with an off ramp, connected by a junction. We compare the known coupling conditions for the evolution of traffic at the junction and suggest a novel improvement to the existing conditions. That is, we resolve the spurious effects that arise in standard models, namely clogging of the main highway and vehicle destination changes. We achieve this by tracking vehicle density buildup in the form of a queue, which is modeled by an ODE. We define the solution to the Riemann problem at the junction using the supply and demand functions. The numerical approximation is carried out using a modified Godunov scheme, adjusted to take into account the effects of an emptying queue. Exact and numerical comparisons of the model with existing models verify that the number of vehicles who wish to exit are preserved and the nonphysical clogging of the main highway does not occur. / Mathematics

We elaborate upon the Herty-Illner macroscopic traffic models which include special non-local forces. The first chapter presents these in relation to the traffic models of Aw-Rascle and Zhang, arguing that non-local forces are necessary for a realistic description of traffic. The second chapter considers travelling wave solutions for the Herty-Illner macroscopic models. The travelling wave ansatz for the braking scenario reveals a curiously implicit nonlinear functional differential equation, the jam equation, whose unknown is, at least to conventional tools, inextricably self-argumentative! Observing that analytic solution methods fail for the jam equation yet succeed for equations with similar coefficients raises a challenging problem of pure and applied mathematical interest. An unjam equation analogous to the jam equation explored by Illner and McGregor is derived. The third chapter outlines refinements for the Herty-Illner models. Numerics allow exploration of the refined model dynamics in a variety of realistic traffic situations, leading to a discussion of the broadened applicability conferred by the refinements: ultimately the prediction of stop-and-go waves. The conclusion asserts that all of the above contribute knowledge pertinent to traffic control for reduced congestion and ameliorated vehicular flow. / Graduate

Driving simulators are used to conduct experiments on for example driver behavior, road design, and vehicle characteristics. The results of the experiments often depend on the traffic conditions. One example is the evaluation of cellular phones and how they affect driving behavior. It is clear that the ability to use phones when driving depends on traffic intensity and composition, and that realistic experiments in driving simulators therefore has to include surrounding traffic. This thesis describes a model that generates and simulates surrounding vehicles for a driving simulator. The proposed model generates a traffic stream, corresponding to a given target flow and simulates realistic interactions between vehicles. The model is built on established techniques for time-driven microscopic simulation of traffic and uses an approach of only simulating the closest neighborhood of the driving simulator vehicle. In our model this closest neighborhood is divided into one inner region and two outer regions. Vehicles in the inner region are simulated according to advanced behavioral models while vehicles in the outer regions are updated according to a less time-consuming model. The presented work includes a new framework for generating and simulating vehicles within a moving area. It also includes the development of enhanced models for car-following and overtaking and a simple mesoscopic traffic model. The developed model has been integrated and tested within the VTI Driving simulator III. A driving simulator experiment has been performed in order to check if the participants observe the behavior of the simulated vehicles as realistic or not. The results were promising but they also indicated that enhancements could be made. The model has also been validated on the number of vehicles that catches up with the driving simulator vehicle and vice versa. The agreement is good for active and passive catch-ups on rural roads and for passive catch-ups on freeways, but less good for active catch-ups on freeways.

Active Queue Management (AQM) schemes are used for ensuring the Quality of Service (QoS) in telecommunication networks. However, they are sensitive to parameter settings and have weaknesses in detecting and controlling congestion under dynamically changing network situations. Another drawback for the AQM algorithms is that they have been applied only on the Markovian models which are considered as Short Range Dependent (SRD) traffic models. However, traffic measurements from communication networks have shown that network traffic can exhibit self-similar as well as Long Range Dependent (LRD) properties. Therefore, it is important to design new algorithms not only to control congestion but also to have the ability to predict the onset of congestion within a network. An aim of this research is to devise some new congestion control methods for communication networks that make use of various traffic characteristics, such as LRD, which has not previously been employed in congestion control methods currently used in the Internet. A queueing model with a number of ON/OFF sources has been used and this incorporates a novel congestion prediction algorithm for AQM. The simulation results have shown that applying the algorithm can provide better performance than an equivalent system without the prediction. Modifying the algorithm by the inclusion of a sliding window mechanism has been shown to further improve the performance in terms of controlling the total number of packets within the system and improving the throughput. Also considered is the important problem of maintaining QoS constraints, such as mean delay, which is crucially important in providing satisfactory transmission of real-time services over multi-service networks like the Internet and which were not originally designed for this purpose. An algorithm has been developed to provide a control strategy that operates on a buffer which incorporates a moveable threshold. The algorithm has been developed to control the mean delay by dynamically adjusting the threshold, which, in turn, controls the effective arrival rate by randomly dropping packets. This work has been carried out using a mixture of computer simulation and analytical modelling. The performance of the new methods that have.

Nesta presente tese, abordaremos três problemas sobre processos estocásticos unidimensionais governados pela equação mestra. Através do Ansatz do Produto Matricial (MPA) determinaremos as condições suficientes para garantir a integrabilidade de um novo processo de difusão num meio com impurezas. Investigando o espectro de tal modelo, computaremos o expoente crítico z que determina como os observáveis atingem o estado estacionário. Em seguida, estudaremos o clássico modelo de 6-vértices bidimensional definido na matriz de transferência diagonal-diagonal, como um modelo de trafego unidimensional com dinâmica síncrona e assíncrona. E para concluir nosso trabalho, investigaremos alguns modelos de processos de contato com difusão, utilizando a teoria de Campo Médio em Cluster. / In this thesis, we discuss three problems on dimensional stochastic processes governed by master equation. By Product Matrix Ansatz (MPA) we determine the conditions sufficient to ensure integrability of a new process of diffusion in a medium with impurities. Investigating the spectrum of this model, we compute the critical exponent z that determines how the observable flow to stationary state. In the folowing, we study the classical 6-vertex model defined in two-dimensional diagonal-diagonal matrix transfer as a unidimensional model of traffic with synchronous and asynchronous dinamics. And to finish our work, we study models of diffusion processes of contact, using the theory of Cluster Mean-Field

Nesta presente tese, abordaremos três problemas sobre processos estocásticos unidimensionais governados pela equação mestra. Através do Ansatz do Produto Matricial (MPA) determinaremos as condições suficientes para garantir a integrabilidade de um novo processo de difusão num meio com impurezas. Investigando o espectro de tal modelo, computaremos o expoente crítico z que determina como os observáveis atingem o estado estacionário. Em seguida, estudaremos o clássico modelo de 6-vértices bidimensional definido na matriz de transferência diagonal-diagonal, como um modelo de trafego unidimensional com dinâmica síncrona e assíncrona. E para concluir nosso trabalho, investigaremos alguns modelos de processos de contato com difusão, utilizando a teoria de Campo Médio em Cluster. / In this thesis, we discuss three problems on dimensional stochastic processes governed by master equation. By Product Matrix Ansatz (MPA) we determine the conditions sufficient to ensure integrability of a new process of diffusion in a medium with impurities. Investigating the spectrum of this model, we compute the critical exponent z that determines how the observable flow to stationary state. In the folowing, we study the classical 6-vertex model defined in two-dimensional diagonal-diagonal matrix transfer as a unidimensional model of traffic with synchronous and asynchronous dinamics. And to finish our work, we study models of diffusion processes of contact, using the theory of Cluster Mean-Field

The Bluetooth technology is still in an early stage of development. Much more research can and will be done before the performance of Bluetooth reaches its peak. During the recent years, ideas to integrate Bluetooth units in larger networks have arose, with the Bluetooth unit in the role as access point to the network. This behavior opens up for new possibilities but also increases the requirements on performance. In this thesis the main topic is improvement of piconet performance. The piconet, with the Master unit as access point, is studied from a teletraffic engineering point of view. Different performance attributes and behaviors have been found and investigated. With the outcome of these investigations in mind, new and more efficient policies and algorithms are proposed for both data and voice. A policy increasing the utilization of available bandwidth in a piconet is presented. Furthermore, a proposal is presented where multiple Bluetooth units are used in an efficient manner to support voice calls. The proposed solution does also enable creation of simple teletraffic models to be used for dimensioning. / Phone: +46709138850