Traffic Signal Optimization Program

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Traffic Signal Optimization Program

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Author : San Diego Association of Governments
language : en
Publisher:
Release Date : 1994

Traffic Signal Optimization Program written by San Diego Association of Governments and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Electronic traffic controls categories.

Sigop

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Author : Traffic Research Corporation. New York
language : en
Publisher:
Release Date : 1966

Sigop written by Traffic Research Corporation. New York and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1966 with categories.

Sigop Traffic Signal Optimization Program

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Author :
language : en
Publisher:
Release Date : 1966

Sigop Traffic Signal Optimization Program written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1966 with SIGOP. categories.

Application Of The Stochastic Optimization Method In Optimizing Traffic Signal Control Settings

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Author : Byungkyu Park
language : en
Publisher:
Release Date : 2008

Application Of The Stochastic Optimization Method In Optimizing Traffic Signal Control Settings written by Byungkyu Park and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Stochastic programming categories.

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.

Investigation Of Schedules For Traffic Signal Timing Optimization

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Author : Byungkyu Park
language : en
Publisher:
Release Date : 2005

Investigation Of Schedules For Traffic Signal Timing Optimization written by Byungkyu Park and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Electronic traffic controls categories.

Traffic signal optimization is recognized as one of the most cost-effective ways to improve urban mobility; however the extent of the benefits realized could significantly depend on how often traffic signal re-optimization occurs. Using a case study from the Northern Virginia Smart Traffic Signal System (NVSTSS), this project sought to determine how often traffic signals need to be re-optimized to provide the greatest benefits. This project developed a new traffic signal timing plan evaluation and optimization program by combining the Integrated SYNCHRO and Platoon Dispersion (ISAPD) model and the OptQuest optimization program. Based on 2001 (base scenario) and 2004 traffic data, five scenarios of re-optimization time intervals (i.e., 2 weeks, 4 weeks, 8 weeks, 16 weeks, and 1 year) were investigated. Study results indicate that (1) determining time intervals for re-optimization in the NVSTSS is feasible; (2) among the various re-optimization time intervals investigated for the Route 50 case study network, the time interval of 1 year was the best for both midday and the PM peak; and (3) the annual net savings from implementing this 1-year re-optimization time interval could be as high as $107,340 and $254,436, respectively, given the assumptions used in the study. The report recommends (1) the annual re-optimization of the Route 50 corridor traffic signal system; (2) the NVSTSS implementation of the combined ISAPS and OptQuest program for measuring "regrets" of not maintaining the optimal timing plan; (3) the adoption by VDOT traffic engineers of the methodology developed in this study, which is based on the combined ISAPD and OptQuest program, for making decisions regarding traffic signal re-optimization; and (4) a future study to investigate the impact of traffic volume growth rates and changes in turning movements as a means of assisting with determinations about traffic signal timing plan re-optimization.

Optimization Of Large Traffic Systems

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Author :
language : en
Publisher:
Release Date : 1977

Optimization Of Large Traffic 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 1977 with Automobiles categories.

Sigop Traffic Signal Optimization Program

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Author : Peat, Marwick, Livingston & Co
language : en
Publisher:
Release Date : 1968

Sigop Traffic Signal Optimization Program written by Peat, Marwick, Livingston & Co and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with SIGOP. categories.

Traffic Signal Optimization Programs

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Author : Chris Claterbos
language : en
Publisher:
Release Date : 1984

Traffic Signal Optimization Programs written by Chris Claterbos and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Electronic traffic controls categories.

Test of MAXBAND, SIGOP-III, and TRANSYT-7F on arterials in Lawrence, Kansas, Overland Park, Kansas, and Davenport, Iowa.

Evaluation Of Traffic Signal Timing Optimization Methods Using A Stochastic And Microscopic Simulation Program

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Author : Byungkyu Park
language : en
Publisher:
Release Date : 2003

Evaluation Of Traffic Signal Timing Optimization Methods Using A Stochastic And Microscopic Simulation Program written by Byungkyu Park and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Stochastic programming categories.

This study evaluated existing traffic signal optimization programs including Synchro, TRANSYT-7F, and genetic algorithm optimization using real-world data collected in Virginia. As a first step, a microscopic simulation model, VISSIM, was extensively calibrated and validated using field data. Multiple simulation runs were then made for signal timing plans such that drivers' behavior, day-to-day traffic variation, etc. were considered in the evaluation. Finally, long-term demand growth or changes were statistically modeled and evaluated, again using multiple simulation runs. Five timing plans were evaluated using the simulation test bed. The timing plans under evaluation included (1) the former timing plan of the Virginia Department of Transportation(VDOT), (2) VDOT's current timing plan, (3) the genetic algorithm optimized timing plan, (4)the Synchro optimized timing plan, and (5) the TRANSYT-7F optimized timing plan. The simulation study results indicated that the current practice of VDOT's current signal optimization procedure significantly improved upon its former one by reducing travel times by 17% and total system delay by 36%. The three "optimized" timing plans did not provide significant improvements. Evaluation of the Lee-Jackson Memorial Highway network showed that the current VDOT signal optimization procedure significantly improved the performance of network operations. Thus, the study recommended that VDOT continue using its procedure for developing new timing plans but that it evaluate its signal timing plan regularly so that it does not become outdated

Enhancements To Passer V Signal Timing Optimization Program

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Author :
language : en
Publisher:
Release Date : 2008

Enhancements To Passer V Signal Timing Optimization Program written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Traffic signs and signals categories.

The Texas Department of Transportation (TxDOT) and many other agencies in the U.S. prefer to time their traffic signals to maximize through progression for arterial traffic. Because of this need, the PASSER series of traffic signal timing optimization software has become an important asset to these agencies. The objective of this project is to enhance PASSER V to provide the capability to analyze the impacts of unsignalized intersections, including driveways, located on signalized arterials. In projects including traffic management improvements or access management improvements, different intersections are signalized or unsignalized to achieve various operational or safety improvement objectives. With the additional feature to analyze unsignalized intersections, PASSER V users are able to make side-by-side comparisons between alternatives for these projects.