Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 12 of 12 for “"Traffic simulators"”.
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Urban transportation networks : analytical modeling of spatial dependencies and calibration techniques for stochastic traffic simulators
… We present its use to address an urban traffic control problem, and show the added value of accounting for higher-order spatial between-queue dependency information in the control of congested networks. A second, distinct goal of this thesis is to examine the calibration of route choice …
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Real-Time Calibration of Large-Scale Traffic Simulators: Achieving Efficiency Through the Use of Analytical Mode
Stochastic traffic simulators are widely used in the transportation community to model real-world urban road networks in applications ranging from real-time congestion routing and control to traffic state prediction. Online calibration of these simulators plays a crucial role in achieving high …
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Joint calibration of a microscope traffic simulator and estimation of origin-destination flows
Microscopic Traffic simulators can be effectively used to analyze various transportation strategies (especially ITS related). However, microscopic traffic simulators need to be calibrated in order to yield meaningful results. Calibration is the process of adjusting the model parameters to closely …
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Multi-objective Optimization in Traffic Signal Control
Traffic Signal Control systems are one of the most popular Intelligent Transport Systems and they are widely used around the world to regulate traffic flow. Recently, complex optimization techniques have been applied to traffic signal control systems to improve their performance. Traffic simulators …
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Assessment framework for wireless V2V communication-based ITS applications
… A modelling framework based on a microscopic traffic simulator is presented in this thesis to explore the effects of wireless Vehicle-to-Vehicle (V2V) communication based ITS applications on traffic performance. Microscopic traffic simulators describe the interaction between drivers and …
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Modeling influencing factors in a microscopic traffic simulator
Microscopic traffic simulation is an important tool for traffic analysis and dynamic traffic management as it enables planners to evaluate traffic flow patterns, predict and evaluate the outcome of various response plans and assists in decision making. It is a vital tool for traffic management …
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Lane changing models for arterial traffic
… form an integral component of microscopic traffic simulators and determine its value in evaluation of different traffic management strategies. The state-of-art model for lane changing adopts a two-level framework: the first level involves a latent or unobserved choice of a target lane; the …
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The Performance of Realistic Simulation over Vehicular Networks
… with other vehicles can help avoid accidents and traffic congestion. Vehicular Ad-hoc Network (VANET) is a network that involves moving vehicles within certain range of distance to communicate with each other, thus forming a network. A VANET turns every participating vehicle into a wireless router …
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Mitigating emissions and energy consumption for urban transportation networks : simulation-based signal control strategies
Microscopic urban traffic simulators embed the most detailed traveler behavior and network supply models. They represent individual vehicles and can therefore account for vehicle-specific technologies. These simulators can be coupled with instantaneous energy consumption and emissions models to …
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Modeling driving decisions with latent plans
… models. Use of these myopic models in the traffic simulators often lead to unrealistic traffic flow characteristics and incorrect representation of congestion. A modeling methodology has been formulated to address the effects of unobserved plans in the decisions of the drivers and hence …
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Computationally efficient simulation-based optimization algorithms for large-scale urban transportation problems
… optimization algorithms that derive effective traffic management strategies to reduce congestion and improve the efficiency of urban transportation systems. The proposed algorithms enable the use of high-resolution yet computationally inefficient urban traffic simulators to address large-scale …
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Surrogate Analysis and Calibration of Safety-Related Driver Behavior Modeling in Microscopic Traffic Simulation and Driving Simulator for Aggressive Driving
… to solve one of the most difficult problems – traffic congestion and safety. Researchers, consultants, and local officials are all attempting to solve these problems with different methods. However, it is apparent that understanding the driving behaviors on the roadway network and implementing …