Author: Real ProvencherPublisher:
ISBN:
Category : Traffic signs and signals
Languages : en
Pages : 374
Book Description
Optimization of Traffic Signal Systems
Author: Real ProvencherPublisher:
ISBN:
Category : Traffic signs and signals
Languages : en
Pages : 374
Book Description
Optimal Traffic Control
Author: Slobodan GuberinicPublisher: CRC Press
ISBN: 1420062700
Category : Mathematics
Languages : en
Pages : 366
Book Description
Despite traffic circles, four-way stop signs, lights regulated by timers or sensors, and other methods, the management of urban intersections remains problematic. Consider that transportation systems have all the features of so-called complex systems: the great number of state and control variables, the presence of uncertainty and indeterminism, th
Application of the Stochastic Optimization Method in Optimizing Traffic Signal Control Settings
Author: Byungkyu ParkPublisher:
ISBN:
Category : Stochastic programming
Languages : en
Pages : 42
Book Description
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.
National Signal Timing Optimization Project
Author: Traffic Signal Timing Manual
Author: U.s. Department of TransportationPublisher: CreateSpace
ISBN: 9781508557173
Category : Transportation
Languages : en
Pages : 286
Book Description
This report serves as a comprehensive guide to traffic signal timing and documents the tasks completed in association with its development. The focus of this document is on traffic signal control principles, practices, and procedures. It describes the relationship between traffic signal timing and transportation policy and addresses maintenance and operations of traffic signals. It represents a synthesis of traffic signal timing concepts and their application and focuses on the use of detection, related timing parameters, and resulting effects to users at the intersection. It discusses advanced topics briefly to raise awareness related to their use and application. The purpose of the Signal Timing Manual is to provide direction and guidance to managers, supervisors, and practitioners based on sound practice to proactively and comprehensively improve signal timing. The outcome of properly training staff and proactively operating and maintaining traffic signals is signal timing that reduces congestion and fuel consumption ultimately improving our quality of life and the air we breathe. This manual provides an easy-to-use concise, practical and modular guide on signal timing. The elements of signal timing from policy and funding considerations to timing plan development, assessment, and maintenance are covered in the manual. The manual is the culmination of research into practices across North America and serves as a reference for a range of practitioners, from those involved in the day to day management, operation and maintenance of traffic signals to those that plan, design, operate and maintain these systems.
National Signal Timing Optimization Project
Author: Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 56
Book Description
This report summarizes the results of the National Signal Timing Organization Project initiated by the Federal Highway Administration as a fuel conservation effort. The objectives of this project are: 1) to establish credible data on the effectiveness of signal timing optimization; 2) to make signal timing optimization projects easier to do; and 3) to define the resources (cost, level of staff, computer, etc.) required to undertake a signal timing optimization project, so that traffic engineers and administrators can more effectively budget for this activity. The project consisted of the development of the TRANSYT-7F signal timing optimization program User's Manual, and training course, and application of the program in 11 cities nationwide to evaluate the effectiveness of the poptimized signal timing plans and to collect data on the needed resources.
Recent Advances in Reinforcement Learning
Author: Leslie Pack KaelblingPublisher: Springer Science & Business Media
ISBN: 0792397053
Category : Computers
Languages : en
Pages : 286
Book Description
Recent Advances in Reinforcement Learning addresses current research in an exciting area that is gaining a great deal of popularity in the Artificial Intelligence and Neural Network communities. Reinforcement learning has become a primary paradigm of machine learning. It applies to problems in which an agent (such as a robot, a process controller, or an information-retrieval engine) has to learn how to behave given only information about the success of its current actions. This book is a collection of important papers that address topics including the theoretical foundations of dynamic programming approaches, the role of prior knowledge, and methods for improving performance of reinforcement-learning techniques. These papers build on previous work and will form an important resource for students and researchers in the area. Recent Advances in Reinforcement Learning is an edited volume of peer-reviewed original research comprising twelve invited contributions by leading researchers. This research work has also been published as a special issue of Machine Learning (Volume 22, Numbers 1, 2 and 3).
Traffic Signal Systems 2009
Author: Publisher:
ISBN: 9780309142601
Category : Electronic traffic controls
Languages : en
Pages : 0
Book Description
TRB's Transportation Research Record: Journal of the Transportation Research Board, No. 2128 includes 23 papers that explore green time at congested traffic signals, traffic signal maintenance and operations needs, railroad-preempted intersections, three dimensional mapping of inductive loop detector sensitivity, cycle length performance measures, bus priority strategies on arterials controlled by SCOOT, tolerances for magnetometer orientation and field calibration procedure, and optimization of coordinated-actuated traffic signal system. This issue of the TRR also examines bicyclist intersection crossing times, left-turn signal control, optimizing traffic control to reduce fuel consumption and exhaust emissions, optimizing signal timings from the field, platoon-priority and advance warning flasher system at high-speed intersections, prediction of red light running, microscopic modeling of traffic signal operations, lost time and cycle length for an actuated traffic signal, specifying vehicle detection performance, local synchronization control scheme for congested interchange areas, distributed Ethernet network of advanced pedestrian signals, comparison of before-after versus off-on adaptive traffic control evaluations, generating traffic scenarios for large arterial networks, evaluating green-extension policies, and safety evaluation for intergreen intervals at signalized intersections.
Digital Transformation and Innovative Services for Business and Learning
Author: Sandhu, KamaljeetPublisher: IGI Global
ISBN: 179985177X
Category : Business & Economics
Languages : en
Pages : 282
Book Description
In a world dependent on digital technologies, business corporations continually try to stay ahead of their competitors by adopting the most updated technology into their business processes. Many companies are adopting digital transformation models, data analytics, big data, data empowerment, and data sharing as key strategies and as service disruptors for information delivery and record management. Higher education institutions have adopted digital service innovation as a core to driving their business processes. Such services are key to ensuring efficiency and improving organizational performance. Digital Transformation and Innovative Services for Business and Learning is a collection of innovative research on the latest digital services and their role in supporting the digital transformation of businesses and education. While highlighting topics including brand equality, digital banking, and generational workforce, this book is ideally designed for managers, executives, IT consultants, industry professionals, academicians, researchers, and students.
Author: