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Optimal Traffic Control

Optimal Traffic Control
Author: Slobodan Guberinic
Publisher: CRC Press
Total Pages: 366
Release: 2007-11-08
Genre: Mathematics
ISBN: 1420062700

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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


Traffic Management

Traffic Management
Author: John E. Tyworth
Publisher: Addison Wesley Publishing Company
Total Pages: 536
Release: 1987
Genre: Business & Economics
ISBN:

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Guidelines for Determination of Optimal Traffic Responsive Plan Selection Control Parameters

Guidelines for Determination of Optimal Traffic Responsive Plan Selection Control Parameters
Author:
Publisher:
Total Pages: 108
Release: 2005
Genre: Feedback control systems
ISBN:

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Closed-loop traffic control systems can be operated by either Time-of-Day (TOD) mode or Traffic Responsive Plan Selection (TRPS) mode. When properly configured, the TRPS mode has the potential to provide an optimal operation due to its ability to accommodate abnormal traffic conditions such as incidents, special events, and holiday traffic. TRPS mode can also reduce the need for frequent redesign/updates to signal timing plans. To date, there have not been any formal guidelines for selection of robust and optimal TRPS system parameters and thresholds. Consequently, traffic engineers usually revert to the TOD mode of operation for its ease of setup. This report provides a new methodology for robust and optimal selection of TRPS parameters and thresholds. The report presents an innovative framework of TRPS system setup following a comprehensive approach that incorporates a multi-objective evolutionary algorithm and a supervised discriminant analysis. The developed guidelines are presented in simplified tables to facilitate their implementation. Guidelines were verified by using hardware-in-the-loop simulations. Compared to just the worst possible solutions encountered during the optimization, the final solution provided a concurrent savings of 53 percent in delay and 19 percent in stops.


Ant Colony Optimization

Ant Colony Optimization
Author: Helio Barbosa
Publisher: BoD – Books on Demand
Total Pages: 216
Release: 2013-02-20
Genre: Computers
ISBN: 9535110012

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Ant Colony Optimization (ACO) is the best example of how studies aimed at understanding and modeling the behavior of ants and other social insects can provide inspiration for the development of computational algorithms for the solution of difficult mathematical problems. Introduced by Marco Dorigo in his PhD thesis (1992) and initially applied to the travelling salesman problem, the ACO field has experienced a tremendous growth, standing today as an important nature-inspired stochastic metaheuristic for hard optimization problems. This book presents state-of-the-art ACO methods and is divided into two parts: (I) Techniques, which includes parallel implementations, and (II) Applications, where recent contributions of ACO to diverse fields, such as traffic congestion and control, structural optimization, manufacturing, and genomics are presented.


Bio-Inspired Computational Algorithms and Their Applications

Bio-Inspired Computational Algorithms and Their Applications
Author: Shangce Gao
Publisher: BoD – Books on Demand
Total Pages: 436
Release: 2012-03-07
Genre: Computers
ISBN: 9535102141

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Bio-inspired computational algorithms are always hot research topics in artificial intelligence communities. Biology is a bewildering source of inspiration for the design of intelligent artifacts that are capable of efficient and autonomous operation in unknown and changing environments. It is difficult to resist the fascination of creating artifacts that display elements of lifelike intelligence, thus needing techniques for control, optimization, prediction, security, design, and so on. Bio-Inspired Computational Algorithms and Their Applications is a compendium that addresses this need. It integrates contrasting techniques of genetic algorithms, artificial immune systems, particle swarm optimization, and hybrid models to solve many real-world problems. The works presented in this book give insights into the creation of innovative improvements over algorithm performance, potential applications on various practical tasks, and combination of different techniques. The book provides a reference to researchers, practitioners, and students in both artificial intelligence and engineering communities, forming a foundation for the development of the field.


Models and Technologies for Smart, Sustainable and Safe Transportation Systems

Models and Technologies for Smart, Sustainable and Safe Transportation Systems
Author: Stefano de Luca
Publisher: BoD – Books on Demand
Total Pages: 268
Release: 2021-07-28
Genre: Technology & Engineering
ISBN: 1838808027

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Innovative and smart mobility systems are expected to make transportation systems more sustainable, inclusive, and safe. Because of changing mobility paradigms, transport planning and design require different methodological approaches. Over twelve chapters, this book examines and analyzes Mobility as a Service (MaaS), travel behavior, traffic control, intelligent transportation system design, electric, connected, and automated vehicles, and much more.