Download or read book The Application of Traffic Signal Network Optimization Techniques to a Small City written by Lloyd James Warren and published by . This book was released on 1972 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Application of the Stochastic Optimization Method in Optimizing Traffic Signal Control Settings written by Byungkyu Park and published by . This book was released on 2008 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traffic congestion has greatly affected not only the nation's economy and environment but also every citizen's quality of life. A recent study shows that every American traveler spent an extra 38 hours and 26 gallons of fuel per year due to traffic congestion during the peak period. Of this congestion, 10% is attributable to improper operations of traffic signals. Surprisingly, more than a half of all signalized intersections in the United States needs to be re-optimized immediately to maintain peak efficiency. Even though many traffic signal control systems have been upgraded from pre-timed controllers to actuated and adaptive controllers, the traffic signal optimization software has not been kept current. For example, existing commercial traffic signal timing optimization programs including SYNCHRO and TRANSYT-7F do not optimize advanced controller settings available in the modern traffic controllers including minimum green time, extension time, and detector settings. This is in part because existing programs are based on macroscopic simulation tools that do not explicitly consider individual vehicular movements. To overcome such a shortcoming, a stochastic optimization method (SOM) was proposed and successfully applied to a signalized corridor in Northern Virginia. This study presents enhancements made in the SOM and case study results from an arterial network consisting of 16 signalized intersections. The proposed method employs a distributed computing environment (DCE) for faster computation time and uses a shuffled frog-leaping algorithm (SFLA) for better optimization. The case study results showed that the proposed enhanced SOM method, called SFLASOM, improved the total network travel times over field settings by 3.5% for Mid-Day and 2.1% for PM-Peak. In addition, corridor travel times were improved by 2.3% to 17.9% over field settings. However, when the new SOM timing plan was compared to the new field timing plan implemented in July 2008, the improvements were marginal, showing slightly over 2% reductions in individual vehicular delay.

Download or read book Traffic Signal Optimization for the Center City of Philadelphia written by Tao Lei and published by . This book was released on 2013 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Masters Theses and Doctoral Dissertations in the Pure and Applied Sciences Accepted by Colleges and Universities of the United States written by and published by . This book was released on 1971 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Faculty Activities written by University of Washington. College of Engineering and published by . This book was released on 1972 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Traffic Control on Arterial Streets written by and published by . This book was released on 1979 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book An Evaluation of Off line Traffic Signal Optimization Techniques written by Leonard Rach and published by . This book was released on 1975 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Master s Theses and Doctoral Dissertations in the Pure and Applied Sciences written by and published by . This book was released on 1973 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Optimization of a Central Business District Traffic Signal Network written by Richard J. Hudzinski and published by . This book was released on 1984 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Optimization of Traffic Signal Settings in Networks by Mixed integer Linear Programming written by Nathan H. Gartner and published by . This book was released on 1974 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Parallel Genetic Algorithms written by Gabriel Luque and published by Springer Science & Business Media. This book was released on 2011-06-15 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the result of several years of research trying to better characterize parallel genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Readers can learn how to solve complex tasks by reducing their high computational times. Dealing with two scientific fields (parallelism and GAs) is always difficult, and the book seeks at gracefully introducing from basic concepts to advanced topics. The presentation is structured in three parts. The first one is targeted to the algorithms themselves, discussing their components, the physical parallelism, and best practices in using and evaluating them. A second part deals with the theory for pGAs, with an eye on theory-to-practice issues. A final third part offers a very wide study of pGAs as practical problem solvers, addressing domains such as natural language processing, circuits design, scheduling, and genomics. This volume will be helpful both for researchers and practitioners. The first part shows pGAs to either beginners and mature researchers looking for a unified view of the two fields: GAs and parallelism. The second part partially solves (and also opens) new investigation lines in theory of pGAs. The third part can be accessed independently for readers interested in applications. The result is an excellent source of information on the state of the art and future developments in parallel GAs.

Download or read book Network Traffic Signal Control with Short term Origin Destination Demand in a Connected Vehicle Environment Via Mobile Edge Computing written by Can Zhang and published by . This book was released on 2021 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis develops and analyzes centralized and decentralized network-level traffic signal control system under in a connected vehicle (CV) environment with mobile edge computing (MEC). The goal is to provide a framework of decentralized signal control (DSC) system especially for real-time control and large-scale traffic network. Short-term origin-destination (OD) demand is used as an input given that the technological paradigm assumed is within the CV environment, unlike most previous works that look at network control but in a current technological paradigm. Considering short-term OD demand as inputs, a queue-based dynamic traffic assignment (DTA) model is proposed to predict traffic dynamics in traffic networks with signal control. Although DTA has been an effective tool to describe traffic dynamics for traffic optimization, and many researchers have considered traffic signal control in their models, signal timings have been simplified without considering complex, but realistic, phase sequence and duration restrictions. This work formulates traffic signal timing as a component of the link performance function with three control variables: cycle length, phase split, and offset. In addition, both user-optimal (UO) and system-optimal (SO) DTA problems are solved within a single corridor network. Finally, this thesis provides a simulation-based framework of both centralized and decentralized signal control to solve the network-level traffic signal control optimization problem. For the centralized system, this work solves the issue of optimal control using a three-step naïve method. Because the optimization of large-scale network traffic signals is a Nondeterministic Polynomial Time (NP)-complete problem, the centralized system is further decomposed into a decentralized system where the network is divided into subnetworks. - Each subnetwork has its own agent that optimizes signals within the subnetwork. The proposed control systems are applied to a set of test scenarios constructed using different demand levels in different grid networks. This work also investigates the impact of network decomposition strategy on the signal control system performance. Results show that network decomposition with smaller subnetworks results in less Computational Time (CT), but also increased Average Travel Time (ATT) and Total Travel Delay (TTD). This thesis contributes to the literature by a queue-based DTA model for traffic network with real traffic signal timing plan, a simulation-based framework of DSC system within the MEC-enabled CV environment, and a scalable and extendable decomposition method for a DSC system.

Download or read book Cellular Genetic Algorithms written by Enrique Alba and published by Springer Science & Business Media. This book was released on 2009-04-05 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs). The authors explain and demonstrate the validity of these cellular genetic algorithms throughout the book with equal and parallel emphasis on both theory and practice. This book is a key source for studying and designing cellular GAs, as well as a self-contained primary reference book for these algorithms.

Download or read book Optimization of Traffic Signal Settings in Networks by Mixed integer Linear Programming written by Massachusetts Institute of Technology. Operations Research Center and published by . This book was released on 1972 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Coordination of Traffic Signals in Networks and Related Graph Theoretical Problems on Spanning Trees written by Gregor Wünsch and published by Cuvillier Verlag. This book was released on 2008 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Techniques for Traffic Signal Optimization written by and published by . This book was released on 1982 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Multi model Simulation based Optimization Applied to Urban Transportation written by Krishna Kumar Selvam and published by . This book was released on 2014 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 may differ in their modeling assumptions (e.g., macroscopic versus microscopic), in their reliability (e.g., quality of their calibration) as well as in their modeling scale (e.g., city-scale model versus regional-scale model). The choice of which simulation model to rely on, let alone of how to combine their use, is intricate. A larger-scale model may, for instance, capture more accurately the local-global interactions; yet may do so at a greater computational cost. This thesis proposes a methodology that enables the simultaneous use of multiple traffic simulation models. We propose a simulation-based optimization algorithm that embeds information from simulation models with different levels of accuracy and with different levels of computational efficiency. The algorithm combines the use of high-accuracy low-efficiency models with low-accuracy high-efficiency models. This combination leads to an algorithm that can identify points (e.g., network designs, traffic management strategies) with good performance at a reduced computational cost. We evaluate the performance of the algorithm with a traffic signal control problem on a small network, as well a large-scale city network. We show that the proposed algorithm identifies signal plans with excellent performance, i.e., with reduced average trip travel times, while doing so with a reduction in the computational cost.