Adaptive Traffic Control Systems
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Adaptive Traffic Control Systems
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Author : Aleksandar Stevanovic
language : en
Publisher: Transportation Research Board National Research
Release Date : 2010
Adaptive Traffic Control Systems written by Aleksandar Stevanovic and has been published by Transportation Research Board National Research this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Technology & Engineering categories.
TRB's National Cooperative Highway Research Program (NCHRP) Synthesis 403: Adaptive Traffic Control Systems: Domestic and Foreign State of Practice explores the state of practice of adaptive traffic control systems (ATCSs), also known as real-time traffic control systems, which adjust, in real time, signal timings based on traffic conditions, demand, and system capacity --
Adaptive Signal Control Iv
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Author : Peter T. Martin
language : en
Publisher:
Release Date : 2006
Adaptive Signal Control Iv written by Peter T. Martin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Adaptive control systems categories.
The purpose of this project is to deploy and evaluate the effectiveness of the future Utah Department of Transportation (UDOT) Adaptive Traffic Control System (ATCS) on an arterial street network in Park City, Utah that experiences both everyday and unpredictable changes in traffic flow.
Session 23
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Author :
language : en
Publisher:
Release Date : 1994
Session 23 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with categories.
The papers presented in this session are as follows: Implementation of operating strategies for integrated freeway/arterial control systems (Pooran, FJ and Lieu, HC); SCOOT in the USA (Genovese, JA); A comparative study of traffic control systems (Kagolanu, K); The choice of system architecture in modern traffic control systems (Hunt, NL). For covering abstract of this conference, see record with call number US6 AKS 94C01-37.
Multi Perspective System Wide Analyses Of Adaptive Traffic Signal Control Systems Using Microsimulation And Contemporary Data Sources
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Author : Abhay Dnyaneshwar Lidbe
language : en
Publisher:
Release Date : 2016
Multi Perspective System Wide Analyses Of Adaptive Traffic Signal Control Systems Using Microsimulation And Contemporary Data Sources written by Abhay Dnyaneshwar Lidbe and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Electronic dissertations categories.
The primary function of traffic signals is to assign the right of way to vehicular and pedestrian traffic at intersections. Effective traffic signal system reduces congestion, increases intersection capacity, and improves other traffic related performance measures such as safety and mobility. To ensure these goals are met, traffic signals require updated timings to maintain proper operation. These updated signal timings impact not only traffic performance, but overall transportation system efficiency. Because traditional signal timing plans may not accommodate variable and unpredictable traffic demands, a more proactive approach is necessary to ensure properly timed and maintained traffic signals. Adaptive traffic control systems (ATCS) continually collect data and optimize signal timing on a real time basis thereby reducing the aforementioned drawbacks of traditional signal retiming. Understanding and characterizing how these systems are working is important to transportation engineers, and evaluating these systems can provide useful insights. The objective of this dissertation is to develop evaluation methodologies (both operational and economical) for adaptive traffic signal control that go beyond the traditional assessments that use traffic measures of effectiveness (MOEs). Case studies are conducted for Sydney Coordinated Adaptive Traffic System (SCATS) implementations in Alabama, which are useful in objective evaluations of ATCS (in general) for both their current and future operational environments by using microsimulation techniques and/or field data from contemporary data sources. The study contains detailed comparative analyses of traffic operations of the study corridors for existing peak hour traffic conditions under the previous time-of-day (TOD) plan and similar peak hour conditions after SCATS implementation. Although simulation analysis using VISSIM traffic microsimulation software is the primary methodological technique used for evaluating comparative performances, arterial data from other sources (Bluetooth MAC Address Matching and crowdsourced travel data) are also used to perform the evaluations, which is a novel application for this context. While past studies have considered either the arterial or its side-streets performances in their evaluations, this work explored a system-wide approach looking at the composite performance of both dimensions together. Finally, for transportation agencies which operate within budget constraints, it is important to know the real worth of attaining the benefits from ATCS implementations. The last chapter of this dissertation extends the evaluation methodology to include benefit-cost analysis (BCA) by evaluating the ATCS performance for both current and future traffic conditions. This information will be helpful for transportation agencies, planners, and practitioners to understand and justify their ATCS investment and also serve as a guideline for their future ITS projects.
Multi Agent Look Ahead Traffic Adaptive Control
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Author : Ronald Theodoor Katwijk
language : en
Publisher:
Release Date : 2008
Multi Agent Look Ahead Traffic Adaptive Control written by Ronald Theodoor Katwijk and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Adaptive control systems categories.
Decision Making Tool For Applying Adaptive Traffic Control Systems
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Author :
language : en
Publisher:
Release Date : 2016
Decision Making Tool For Applying Adaptive Traffic Control Systems written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Traffic engineering categories.
Swarm Intelligence Based Adaptive Signal System
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Author : Jonathan Corey
language : en
Publisher:
Release Date : 2014
Swarm Intelligence Based Adaptive Signal System written by Jonathan Corey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
With over 300,000 traffic signals in the United States, it is important to everyone that those traffic signals operate optimally. Unfortunately, according to the Institute of Transportation Engineers over 75% of traffic signal control systems are in need of retiming or upgrade. Agencies and practitioners responsible for these signals face significant budgeting and procedural challenges to maintain and upgrade their systems. Transportation professionals have traditionally lacked accessible and effective tools to identify when and where the greatest benefits may be generated through retiming and system feature selection. They have also lacked methods and tools to identify, select and defend choices of new traffic signal control systems. This is especially true for adaptive traffic signal control systems which are generally more expensive and whose adaptive algorithms are proprietary, invalidating many traditional analysis methods. To address these challenges, a new theoretical framework including queuing and traffic signal control models has been developed in this study to predict the impacts of signal control technology on a given corridor. This framework has been implemented in the STAR Lab Toolkit for Analysis of Traffic and Intersection Control Systems (STATICS) that uses an underlying queuing model interacting with simulated traffic signal control logic to develop traffic measures of effectiveness under different traffic signal control strategies and settings. The STATICS toolkit has been employed by the Oregon Department of Transportation and several other transportation agencies to analyze their corridors and select advanced traffic signal control systems. Furthermore, a new cost-effective adaptive traffic signal control system called the Swarm-Intelligence Based Adaptive Signal System (SIBASS) is proposed to address situations where optimum optimization strategies change with traffic conditions. Compared to the existing adaptive signal control systems, SIBASS carries an important advantage that makes it robust under communication difficulties. It operates at the individual intersection level in a flat hierarchy that does not use a central controller. Instead, each intersection self-assigns a role based on current traffic conditions and the current roles of neighboring intersections. Each role uses different optimization goals, allowing SIBASS to change intersection optimization criteria based on the current role chosen by that intersection. By designing cooperative features into SIBASS it is possible to create corridor coordination and optimization. This is accomplished using the characteristics of the swarm rather than external imposition to create order. SIBASS is evaluated via simulation under varied traffic conditions. SIBASS consistently outperformed the existing systems tested in this study. On average, SIBASS reduced system average per vehicle delay by approximately 3.5 seconds and system average queue lengths by 20 feet in the tested scenarios. New approaches to tailoring traffic signal control optimization strategies to current traffic conditions and desired operational goals are enabled by SIBASS. Combined, STATICS and SIBASS offer a solid basis upon which to build future tools and methods to analyze traffic signal control systems. Future STATICS analytical modules may include estimating environmental performance and costs as well as improvements to pedestrian modeling and mobility analysis. Environmental and pedestrian considerations also present opportunities for improvement of SIBASS. New optimization roles can be created for SIBASS to address environmental and pedestrian optimization issues.
Adaptive Traffic Control System
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Author : Duy Nhat Nguyen
language : en
Publisher:
Release Date : 2015
Adaptive Traffic Control System written by Duy Nhat Nguyen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Traditional traffic control infrastructures have not changed much in the last several decades, while the volume of traffic has increased disproportionably to infrastructure improvement. A solution to mobility cannot be addressed by simply improving the technology of a single vehicle any further. A solution is to enable people to reach their destinations safely and in optimal time, given the topology of road networks. This thesis offers such a solution based on an adaptive traffic control algorithm which takes the road network topology and dynamically varying traffic streams as input, and guarantees dependable and optimal mobility for vehicles. The algorithm calculates dependable passages for vehicles to cross road intersections, and enables point-to-point travel by minimizing travel time and maximizing fuel consumption. The adaptive algorithm is embedded in the Arbiter, managed by an Intersection Manager at every road intersection. A distributed traffic management architecture, consisting of a hierarchy of road managers, is proposed in the thesis. Extensions to the adaptive algorithm and the architecture are given. The extended algorithm will efficiently function under exceptional situations, such as bad weather, road repairs, and emergency vehicle mobility. The extended architecture is expected to have autonomic computing properties, such as self-healing, self-recovery, and self-protection, and Cyber-physical system properties, such as tightly-coupled feed-back loops with all entities in its environment. A simulator has been implemented, and simulated results reveal that the adaptive algorithm is far superior in performance to fixed-time control systems.
Evaluative Assessment Of Adaptive Traffic Control Systems In Field And Microsimulation
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Author : Cameron T. Kergaye
language : en
Publisher:
Release Date : 2009
Evaluative Assessment Of Adaptive Traffic Control Systems In Field And Microsimulation written by Cameron T. Kergaye and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Traffic signs and signals categories.
Atcs
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Author : Sean Skehan
language : en
Publisher:
Release Date : 1995
Atcs written by Sean Skehan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with ATCS. categories.