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 20 of 32 for “"Traffic Signal Control"”.
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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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Integration of predictive routing information with dynamic traffic signal control
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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eMARLIN: Addressing Coordination and Partial Observability in Distributed Reinforcement Learning for Traffic Signal Control
Traffic congestion is a growing concern in urban areas, pertaining to its significant economic, environmental, and safety impacts. While traditional solutions like infrastructure expansion and public transit development are vital, they involve high budget and time costs. This thesis aims to address …
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Development of Dynamic Traffic Signal Control Procedures for Oversaturated Arterials and Genetic Algorithms Solutions
… such that their implementation for on-line traffic control is possible. Population size was shown to play a significant role in determining quality of terminal solutions. Based on experiments with DSCA, and with sufficient computational resources, micro-GAs performed best when the population …
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Improving traffic management efficiency through reinforcement learning-based traffic signal control and citywide transit simulation
Traffic congestion reduces productivity and harms the environment. Enhancing traffic signal control and public transportation are effective solutions. However, prior research has limitations stemming from the absence of real-time reliable data. Recent computer vision systems have made collecting …
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MASTraf: a decentralized multi-agent system for network-wide traffic signal control with dynamic coordination
Continuous increases in traffic volume and limited available capacity in the roadway system have created a need for improved traffic control. From traditional pre-timed isolated signals to actuated and coordinated corridors, traffic control for urban networks has evolved into more complex adaptive …
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Modeling of traffic signal control and transit signal priority strategies in a microscopic simulation laboratory
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2001.
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Evaluation of Crossover Displaced Left-turn (XDL) Intersections and Real-time Signal Control Strategies with Artificial Intelligence Techniques
… yet have a simplified procedure to evaluate its traffic performance and compare it with a conventional intersection. Several studies have shown qualitative and quantitative benefits of the XDL intersection without providing accessible tools for traffic engineers and planners to estimate average …
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Decentralized graph-based multi-agent reinforcement learning for traffic signal optimization
Signalized intersections are persistent bottlenecks where inefficient operations contribute to congestion, delays, safety risks, and environmental impacts. Conventional control strategies provide stability under predictable demand but lack the adaptability required to manage stochastic and …
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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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Exploration and Exploitation Techniques for High-Dimensional Simulation-Based Optimization Problems in Urban Transportation
Stochastic traffic and mobility simulation models are popular tools for modeling urban transportation networks. However, their use for optimizing urban transportation networks can be challenging due to their computationally intensive nature. This thesis focuses on high-dimensional simulation-based …
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Development and Testing Of The iCACC Intersection Controller For Automated Vehicles
… it is necessary to develop novel intersection control strategies. Accordingly, the research presented in this dissertation develops an innovative system that controls the movement of vehicles using cooperative cruise control system (CACC) capabilities entitled: iCACC (intersection management …
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Approximation of the transient joint queue-length distribution in tandem networks
This work considers an urban traffic network, and represents it as a Markovian queueing network. This work proposes an analytical approximation of the time-dependent joint queue-length distribution of the network. The challenge is to provide an accurate analytical description of between and within …
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Real-Time Estimation of Traffic Stream Density using Connected Vehicle Data
The macroscopic measure of traffic stream density is crucial in advanced traffic management systems. However, measuring the traffic stream density in the field is difficult since it is a spatial measurement. In this dissertation, several estimation approaches are developed to estimate the traffic …
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Do Roundabouts Work? An Evaluation for Uniform Approach Demands
… of roundabouts relative to other intersection control strategies. Few studies have compared roundabouts with other intersection control strategies in a systematic fashion. Consequently, this Thesis compares four types of intersection control strategies considering a single lane approach with a …
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Multi-model simulation-based optimization applied to urban transportation
… agencies often resort to the use of traffic simulation models to evaluate the impacts of changes in network design or network operations. They often have multiple traffic simulation tools that cover the network area where changes are to be made. Nonetheless, these multiple simulators …
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An Analysis of Emergency Vehicle Crash Characteristics
… because of entering and crossing movements. Traffic signal control systems may not always be sufficient in preventing collisions at intersections between emergency and other vehicles. The Firefighter Fatality Retrospective Study of 2002 illustrates that the second leading cause of fatal …
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Evaluating Transportation Network Mobility and Enhancing Traffic Signal Operations Performance Using Probe Data and Connected Vehicle Technology
… for improving operational efficiency at a signalized intersection. Two innovative traffic signal control algorithms are established to demonstrate real-time delay optimization for both connected and non-connected vehicles. The third part of this dissertation extends the use of CV-technology …
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An Invisible Issue of Task Underspecification in Deep Reinforcement Learning Evaluations
… example, consider the classic pendulum control task that could be represented by a family of possible MDPs, each with a different pendulum mass, but is typically represented as a single MDP. This thesis argues that for reliable downstream decision-making, performance evaluations on a …
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