Relevant bibliographies by topics / Advanced traffic management systems

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Advanced traffic management systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Advanced traffic management systems"

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Peters, Joseph I., and King M. Roberts. "Human Factors and Advanced Traffic Management Systems." Proceedings of the Human Factors Society Annual Meeting 36, no. 15 (1992): 1068–72. http://dx.doi.org/10.1518/107118192786749739.

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Advanced Traffic Management Systems (ATMS) are those components of Intelligent Vehicle Highway Systems (IVHS) that integrate traffic detection, communication, and control functions to be responsive to dynamic traffic conditions and increase the efficiency of existing traffic networks. ATMS provide the management foundation that will enable and integrate other IVHS components such as Commercial Vehicle Operations, Advanced Traveler Information Systems, Advanced Vehicle Control Systems, and Advanced Public Transportation Systems. This paper defines Advanced Traffic Management Systems. It also describes the functions that may take place within an ATMS-class Traffic Management Center (TMC), a scenario that a future TMC operator may encounter, and some of the human factors issues that must be addressed in the design of an ATMS-class TMC.
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Coconea, Laura, and Emanuele Bellini. "Advanced Traffic Management Systems supporting resilient smart cities." Transportation Research Procedia 41 (2019): 556–58. http://dx.doi.org/10.1016/j.trpro.2019.09.099.

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Hawas, Yaser E. "Calibrating Simulation Models for Advanced Traveler Information Systems/Advanced Traffic Management Systems Applications." Journal of Transportation Engineering 128, no. 1 (2002): 80–88. http://dx.doi.org/10.1061/(asce)0733-947x(2002)128:1(80).

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Yang, Qi, Haris N. Koutsopoulos, and Moshe E. Ben-Akiva. "Simulation Laboratory for Evaluating Dynamic Traffic Management Systems." Transportation Research Record: Journal of the Transportation Research Board 1710, no. 1 (2000): 122–30. http://dx.doi.org/10.3141/1710-14.

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Advanced traffic management systems (ATMS) and advanced traveler information systems (ATIS) are promising technologies for achieving efficiency in the operation of transportation systems. A simulation-based laboratory environment, MITSIMLab, is presented that is designed for testing and evaluation of dynamic traffic management systems. The core of MITSIMLab is a microscopic traffic simulator (MITSIM) and a traffic management simulator (TMS). MITSIM represents traffic flows in the network, and the TMS represents the traffic management system under evaluation. An important feature of MITSIMLab is its ability to model ATMS or ATIS that generate traffic controls and route guidance based on predicted traffic conditions. A graphical user interface allows visualization of the simulation, including animation of vehicle movements. An ATIS case study with a realistic network is also presented to demonstrate the functionality of MITSIMLab.
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Zhang, Chuan, Liehuang Zhu, Jianbing Ni, Cheng Huang, and Xuemin Shen. "Verifiable and Privacy-Preserving Traffic Flow Statistics for Advanced Traffic Management Systems." IEEE Transactions on Vehicular Technology 69, no. 9 (2020): 10336–47. http://dx.doi.org/10.1109/tvt.2020.3005363.

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Vujić, Miroslav, Ivana Šemanjski, and Pero Vidan. "Improving Energy Efficiency by Advanced Traffic Control Systems." Transactions on Maritime Science 4, no. 2 (2015): 119–26. http://dx.doi.org/10.7225/toms.v04.n02.003.

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The problem of traffic congestion is particularly acute in urban areas in which the possibilities for the physical increase of capacities are limited or nonexistent. Traffic congestion has a direct impact on the emission, energy efficiency and fuel consumption of personal vehicles. Several projects in the European Union are focused on solving this problem (both at the physical level – automotive industry, as well as at the traffic management level). This paper explores the possibility of the implementation of advanced traffic control systems in urban areas in which driving behavior involves a multitude of stopand-go actions, lower speeds in lower vehicle gears. Since this type of driving behavior affects vehicle fuel consumption and emission, relevant evaluation parameters were defined (queue length, average vehicle speed, etc.). A demonstration corridor in the city of Zagreb was chosen and a simulation model based on the traffic data collected in real traffic situations developed. The basis for further research is laid down to allow the application of the proposed model and adaptive traffic control algorithms to the greater urban traffic network.
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Gartner, Nathan H., and Chronis Stamatiadis. "Integration of Dynamic Traffic Assignment with Real-Time Traffic Adaptive Control System." Transportation Research Record: Journal of the Transportation Research Board 1644, no. 1 (1998): 150–56. http://dx.doi.org/10.3141/1644-16.

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Intelligent transportation systems (ITS) are being designed to provide real-time control and route guidance to motorists to optimize traffic network performance. Current research and development efforts consist of a dynamic traffic assignment capability that can predict future traffic conditions and a real-time traffic adaptive control system (RT-TRACS) for generation of signal control strategies. Although these models are intimately connected, so far they have developed independently of one another. A framework is presented here for integrating the two models into a combined system with a practical approach for realizing it. First the static case involving the interaction between travelers (demand) and transportation facilities (supply) under recurrent conditions is discussed. This model is applicable in the design and planning of transportation systems management actions. The framework is then extended to the quasi-dynamic and the dynamic cases, which involve incorporation of advanced ITS technologies in the form of advanced traffic management systems and advanced traveler information systems. An innovative application of this framework to advanced traffic-adaptive signal control is presented using the hierarchic structure of RT-TRACS.
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Fu, Liping, Jeffrey Henderson, and Shuo Li. "Locating changeable message signs for advanced traffic information and management systems." Canadian Journal of Civil Engineering 34, no. 5 (2007): 651–63. http://dx.doi.org/10.1139/l06-151.

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This paper presents an optimization model for locating changeable message signs (CMSs) on an integrated freeway-arterial network. Compared with existing models, the proposed model represents a well-balanced compromise between computational efficiency required to solve problems of realistic size, and model realism to ensure the quality of solutions. The model has three unique features: (1) it recognizes that locating CMSs is a planning problem that must take into account both current and future needs and benefits, (2) it evaluates benefits of CMSs over multiple time periods with different traffic distributions, and (3) it explicitly considers inherent variations in incident characteristics across links and over time. A sensitivity analysis is performed to examine the potential impacts on optimal CMSs locations resulting from uncertainties in various input parameters, such as traffic demand, incident attributes, and driver behaviour. Lastly, the proposed model is applied to the Highway 401 express-collector freeway system in Toronto for relocating the existing CMSs.Key words: changeable message signs (CMSs), location optimization, traffic assignment, queuing theory.
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Daniels, Ginger, and Tim Starr. "Guidelines for Funding Operations and Maintenance of Intelligent Transportation Systems/Advanced Traffic Management Systems." Transportation Research Record: Journal of the Transportation Research Board 1588, no. 1 (1997): 49–62. http://dx.doi.org/10.3141/1588-07.

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As the deployment of intelligent transportation systems (ITS) technologies moves forward, the issue of sustaining and supporting traffic management systems after they have been constructed becomes increasingly critical. In the midst of limited funding, undocumented costs, competing maintenance needs, aging systems, and institutional barriers, the systems already under operation are struggling to meet the expectations conveyed during implementation. Planning for day-to-day performance and upkeep, despite the necessity, has been an unglamourous and apparently secondary consideration in the ITS implementation process. A well-run and well-maintained system not only serves the transportation system users as intended, but boosts the credibility of the program with the public. Conversely, systems that are plagued with inadequate staffing, persistent software bugs, and inoperable field devices will fail to provide high-performance services and will certainly tarnish the ITS initiative and the credibility of all transportation service providers. Quantifying and securing the funding necessary to operate and maintain ITS and advanced traffic management systems adequately is the first step, yet very little documentation is available to assist system operators. First, a mechanism is provided for estimating the costs required to operate and maintain ITS elements adequately; second, the funding issues are examined and guidelines are provided to address the obstacles that prevent adequate funding of traffic management operations and maintenance. Although the Texas Department of Transportation costs and procedures are examined, the research and recommendations will be useful to other state agencies.
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Michalopoulos, P., and J. Hourdakis. "Review of non-intrusive advanced sensor devices for advanced traffic management systems and recent advances in video detection." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 215, no. 4 (2001): 345–55. http://dx.doi.org/10.1177/095965180121500407.

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Dissertations / Theses on the topic "Advanced traffic management systems"

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Alam, Sameer Information Technology &amp Electrical Engineering Australian Defence Force Academy UNSW. "Evolving complexity towards risk : a massive scenario generation approach for evaluating advanced air traffic management concepts." Awarded by:University of New South Wales - Australian Defence Force Academy, 2008. http://handle.unsw.edu.au/1959.4/38966.

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Present day air traffc control is reaching its operational limits and accommodating future traffic growth will be a challenging task for air traffic service providers and airline operators. Free Flight is a proposed transition from a highly-structured and centrally-controlled air traffic system to a self-optimized and highly-distributed system. In Free Flight, pilots will have the flexibility of real-time trajectory planning and dynamic route optimization given airspace constraints (traffic, weather etc.). A variety of advanced air traffc management (ATM) concepts are proposed as enabling technologies for the realization of Free Flight. Since these concepts can be exposed to unforeseen and challenging scenarios in Free Flight, they need to be validated and evaluated in order to implement the most effective systems in the field. Evaluation of advanced ATM concepts is a challenging task due to the limitations in the existing scenario generation methodologies and limited availability of a common platform (air traffic simulator) where diverse ATM concepts can be modeled and evaluated. Their rigorous evaluation on safety metrics, in a variety of complex scenarios, can provide an insight into their performance, which can help improve upon them while developing new ones. In this thesis, I propose a non-propriety, non-commercial air traffic simulation system, with a novel representation of airspace, which can prototype advanced ATM concepts such as conflict detection and resolution, airborne weather avoidance and cockpit display of traffic information. I then propose a novel evolutionary computation methodology to algorithmically generate a massive number of conflict scenarios of increasing complexity in order to evaluate conflict detection algorithms. I illustrate the methodology in detail by quantitative evaluation of three conflict detection algorithms, from the literature, on safety metrics. I then propose the use of data mining techniques for the discovery of interesting relationships, that may exist implicitly, in the algorithm's performance data. The data mining techniques formulate the conflict characteristics, which may lead to algorithm failure, using if-then rules. Using the rule sets for each algorithm, I propose an ensemble of conflict detection algorithms which uses a switch mechanism to direct the subsequent conflict probes to an algorithm which is less vulnerable to failure in a given conflict scenario. The objective is to form a predictive model for algorithm's vulnerability which can then be included in an ensemble that can minimize the overall vulnerability of the system. In summary, the contributions of this thesis are: 1. A non-propriety, non-commercial air traffic simulation system with a novel representation of airspace for efficient modeling of advanced ATM concepts. 2. An Ant-based dynamic weather avoidance algorithm for traffic-constrained enroute airspace. 3. A novel representation of 4D air traffic scenario that allows the use of an evolutionary computation methodology to evolve complex conflict scenarios for the evaluation of conflict detection algorithms. 4. An evaluation framework where scenario generation, scenario evaluation and scenario evolution processes can be carried out in an integrated manner for rigorous evaluation of advanced ATM concepts. 5. A methodology for forming an intelligent ensemble of conflict detection algorithms by data mining the scenario space.
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Saad, Rani A. "Freeway Corridor Management : tools and strategies /." Master's thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-01262010-020325/.

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Chambers, Alexander Lindsay. "Benefits of Advanced Traffic Management Solutions: Before and After Crash Analysis for Deployment of a Variable Advisory Speed Limit System." DigitalCommons@CalPoly, 2016. https://digitalcommons.calpoly.edu/theses/1653.

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Variable speed limit (VSL) systems are important active traffic management tools that are being deployed across the U.S. and indeed around the world for relieving congestion and improving safety. Oregon’s first variable advisory speed limit signs were activated along Oregon Highway 217 in the summer of 2014. The variable advisory speed system is responsive to both congestion and weather conditions. This seven-mile corridor stretches around Western Portland and has suffered from high crash rates and peak period congestion in the past. VSL systems are often deployed to address safety, mobility and sustainability related performance. This research seeks to determine whether the newly implemented variable advisory speed limit system has had measurable impacts on traffic safety and what the scale of the impact has been. The research utilizes a before-after crash analysis with three years of data prior to implementation and around 16 months after. Statistical analysis using an Empirical Bayes (EB) approach will aim to separate the direct impacts of the variable advisory speed limit signs from the long term trends on the highway. In addition, the analysis corrects for the changes in traffic volumes over the study period. Three data sources will be utilized including Washington County 911 call data, Oregon incident reports, and official Oregon Department of Transportation crash data reports. The analysis results are compared between data sources to determine the reliability of 911 call data as a proxy for crash statistics. The conclusions should be able to provide an indication of whether variable advisory speed limits can provide increased safety along high crash corridors.
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Ahmed, Mohamed. "Multi-Level Safety Performance Functions for High Speed Facilities." Doctoral diss., University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5091.

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High speed facilities are considered the backbone of any successful transportation system; Interstates, freeways, and expressways carry the majority of daily trips on the transportation network. Although these types of roads are relatively considered the safest among other types of roads, they still experience many crashes, many of which are severe, which not only affect human lives but also can have tremendous economical and social impacts. These facts signify the necessity of enhancing the safety of these high speed facilities to ensure better and efficient operation. Safety problems could be assessed through several approaches that can help in mitigating the crash risk on long and short term basis. Therefore, the main focus of the research in this dissertation is to provide a framework of risk assessment to promote safety and enhance mobility on freeways and expressways. Multi-level Safety Performance Functions (SPFs) were developed at the aggregate level using historical crash data and the corresponding exposure and risk factors to identify and rank sites with promise (hot-spots). Additionally, SPFs were developed at the disaggregate level utilizing real-time weather data collected from meteorological stations located at the freeway section as well as traffic flow parameters collected from different detection systems such as Automatic Vehicle Identification (AVI) and Remote Traffic Microwave Sensors (RTMS). These disaggregate SPFs can identify real-time risks due to turbulent traffic conditions and their interactions with other risk factors. In this study, two main datasets were obtained from two different regions. Those datasets comprise historical crash data, roadway geometrical characteristics, aggregate weather and traffic parameters as well as real-time weather and traffic data. At the aggregate level, Bayesian hierarchical models with spatial and random effects were compared to Poisson models to examine the safety effects of roadway geometrics on crash occurrence along freeway sections that feature mountainous terrain and adverse weather. At the disaggregate level; a main framework of a proactive safety management system using traffic data collected from AVI and RTMS, real-time weather and geometrical characteristics was provided. Different statistical techniques were implemented. These techniques ranged from classical frequentist classification approaches to explain the relationship between an event (crash) occurring at a given time and a set of risk factors in real time to other more advanced models. Bayesian statistics with updating approach to update beliefs about the behavior of the parameter with prior knowledge in order to achieve more reliable estimation was implemented. Also a relatively recent and promising Machine Learning technique (Stochastic Gradient Boosting) was utilized to calibrate several models utilizing different datasets collected from mixed detection systems as well as real-time meteorological stations. The results from this study suggest that both levels of analyses are important, the aggregate level helps in providing good understanding of different safety problems, and developing policies and countermeasures to reduce the number of crashes in total. At the disaggregate level, real-time safety functions help toward more proactive traffic management system that will not only enhance the performance of the high speed facilities and the whole traffic network but also provide safer mobility for people and goods. In general, the proposed multi-level analyses are useful in providing roadway authorities with detailed information on where countermeasures must be implemented and when resources should be devoted. The study also proves that traffic data collected from different detection systems could be a useful asset that should be utilized appropriately not only to alleviate traffic congestion but also to mitigate increased safety risks. The overall proposed framework can maximize the benefit of the existing archived data for freeway authorities as well as for road users.<br>ID: 031988164; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (Ph.D.)--University of Central Florida, 2012.; Includes bibliographical references.<br>Ph.D.<br>Doctorate<br>Civil, Environmental, and Construction Engineering<br>Engineering and Computer Science<br>Civil Engineering
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Löfås, Peter. "Advanced Traffic Service." Thesis, Linköping University, Department of Computer and Information Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-374.

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<p>More and more travellers use navigation-aid software to find the way while driving. Most of todays systems use static maps with little or no information at all about currently yeilding roads conditions and disturbances in the network. It is desirable for such services</p><p>in the future to include information about road works, accidents, surface conditions and other types of events that affects what route is currently the best.</p><p>It is also desirable to notify users about changes in the prerequisites of the chosen route after they have started their trip.</p><p>This thesis investigates methods to include dynamic traffic information in route calculations and notifying users when the characteristics change for their chosen route.</p><p>The thesis utilizes dynamic traffic information from The Swedish Road Agencys (Vägverket) central database for traffic information, TRISS and calculates affected clients with help of positioning through the GSM network.</p>
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Guastalla, Guglielmo. "An advanced algorithm for air traffic flow management." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/10505.

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Condé, Rocha Murça Mayara. "Data-driven modeling of air traffic flows for advanced Air Traffic Management." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120378.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2018.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 209-219).<br>The Air Traffic Management (ATM) system enables air transportation by ensuring a safe and orderly air traffic flow. As the air transport demand has grown, ATM has become increasingly challenging, resulting in high levels of congestion, flight delays and environmental impacts. To sustain the industry growth foreseen and enable more efficient air travel, it is important to develop mechanisms for better understanding and predicting the air traffic flow behavior and performance in order to assist human decision-makers to deliver improved airspace design and traffic management solutions. This thesis presents a data-driven approach to modeling air traffic flows and analyzes its contribution to supporting system level ATM decision-making. A data analytics framework is proposed for high-fidelity characterization of air traffic flows from large-scale flight tracking data. The framework incorporates a multi-layer clustering analysis to extract spatiotemporal patterns in aircraft movement towards the identification of trajectory patterns and traffic flow patterns. The outcomes and potential impacts of this framework are demonstrated with a detailed characterization of terminal area traffic flows in three representative multi-airport (metroplex) systems of the global air transportation system: New York, Hong Kong and Sao Paulo. As a descriptive tool for systematic analysis of the flow behavior, the framework allows for cross-metroplex comparisons of terminal airspace design, utilization and traffic performance. Novel quantitative metrics are created to summarize metroplex efficiency, capacity and predictability. The results reveal several structural, operational and performance differences between the metroplexes analyzed and highlight varied action areas to improve air traffic operations at these systems. Finally, the knowledge derived from flight trajectory data analytics is leveraged to develop predictive and prescriptive models for metroplex configuration and capacity planning decision support. Supervised learning methods are used to create prediction models capable of translating weather forecasts into probabilistic forecasts of the metroplex traffic flow structure and airport capacity for strategic time horizons. To process these capacity forecasts and assist the design of traffic flow management strategies, a new optimization model for capacity allocation is developed. The proposed models are found to outperform currently used methods in predicting throughput performance at the New York airports. Moreover, when used to prescribe optimal Airport Acceptance Rates in Ground Delay Programs, an overall delay reduction of up to 9.7% is achieved.<br>by Mayara Condé Rocha Murça.<br>Ph. D.
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Pasias, Vasilios. "Advanced design and traffic management methods for multi-service networks." Thesis, University of Portsmouth, 2007. https://researchportal.port.ac.uk/portal/en/theses/advanced-design-and-traffic-management-methods-for-multiservice-networks(844314ef-e4d6-4bd4-9d7e-d69328093f06).html.

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This PhD thesis considers some of the more emerging problems in network modelling, namely the design of survivable hierarchical networks, <i>Traffic Engineering </i>(TE)<i> </i>and generally traffic management in survivable multi-service networks with <i>Quality of Service </i>(QoS) prerequisites and the planning of wireless access networks. So, in the context of the research work presented in this thesis:- Novel survivable hierarchical network design, wireless access network planning and traffic management techniques were developed. These techniques involve optimisation methods based on <i>Linear Programming </i>(LP) and <i>Integer Linear Programming </i>(ILP), as well as heuristic methods based on <i>graph theory  </i>and <i>computational intelligence (genetic optimisation </i>and <i>simulated annealing). </i> A unified framework for off-line TE, on-line/dynamic routing and path restoration (facility restoration) that can be used in survivable multi-service QoS networks was also developed. Existing traffic management techniques were improved so that to support advanced QoS and survivability characteristics. At first, the objectives of this project are presented followed by a brief analysis of the problems encountered in the network design process. Next, the new methods for designing survivable hierarchical networks are analytically described followed by the developed wireless access network design techniques. After that, the novel traffic management methods and the aforementioned framework, developed in the context of this thesis are presented. Test results are provided together with most of the developed methods. The test results actually indicate that the developed methods can efficiently solve small, medium or even large problems, all developed methods are computationally tractable and the performance of the developed heuristic method is very close to this of the corresponding LP and ILP optimisation methods. The new heuristic methods are solved in a fraction of the time (less than 30%) that the equivalent optimisation methods are solved. Note that the specially developed design and simulation software tool <i>NetLab </i>was used in order to test and evaluate the new design and traffic management methods. Finally, a summary of the work carried out and the results achieved is presented followed by the conclusions and suggestions for further work.
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Nam, Doohee. "Econometric analysis of highway incident duration, public perceptions and information for advanced traveler information systems /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/10172.

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Helmer, Sven. "Performance enhancements for advanced database management systems /." [S.l. : s.n.], 2000. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB8952361.

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Books on the topic "Advanced traffic management systems"

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Henk, Russell H. Before-and-after analysis of advanced transportation management systems. Texas Transportation Institute, Texas A&M University System, 1997.

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Ishimaru, John M. North Seattle advanced traffic management system (NSATMS) project evaluation. Washington State Dept. of Transportation, 2002.

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Advanced Traffic Management Conference (1993 Saint Petersburg, Fla.). Large urban systems: Proceedings of the Advanced Traffic Management Conference, Tradewinds Conference Centre, St. Petersburg, Florida, October 3-8, 1993. U.S. Federal Highway Administration, 1993.

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Martin, Peter T. Real time measures of effectiveness. Mountain Plains Consortium, 2003.

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J, Doviak R., Mazur Vladislav, Zrnić Dušan S, Institution of Electrical Engineers, and American Institute of Aeronautics and Astronautics., eds. Aviation weather surveillance systems: Advanced radar and surface sensors for flight safety and air traffic management. Institution of Electrical Engineers, 1999.

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Office, General Accounting. Air traffic control: FAA's advanced automation system acquisition strategy is risky : report to the Secretary of Transportation. The Office, 1986.

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Administration, United States Fire. Traffic incident management systems. U.S. Fire Administration, 2012.

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Managing advanced manufacturing systems. Avebury, 1994.

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Weisenbach, Lori. Advanced transportation control systems. Business Communications Co., 1998.

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Sager, Michael. Managing advanced information systems. Prentice Hall, 1990.

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Book chapters on the topic "Advanced traffic management systems"

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Blosseville, Jean-Marc. "Image Processing for Traffic Management." In Advanced Video-Based Surveillance Systems. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5085-3_7.

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Maisonobe, Jean-Christophe, Jean Daniel Demond, Giannicola Marengo, Dolores Adamski, Diego Albesano, and Olivier Latouille. "SYNCRO - An Innovative Public Procurement of an Advanced Data Gathering System for Interurban Roads Based on its Technologies." In Traffic Management. John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119307822.ch2.

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Hansman, R. John, James K. Kuchar, and Eric N. Johnson. "Human Centered Development of Information Systems and Decision Aids in Advanced Air Traffic Management Systems." In Modelling and Simulation in Air Traffic Management. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60836-0_8.

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Rahul Kumar and Kunal Gupta. "ITMS (Intelligent Traffic Management System)." In Advances in Intelligent Systems and Computing. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0448-3_40.

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Anzalone, A., and A. Machi’. "Video-based Management of Traffic Light at Pedestrian Road Crossing." In Advanced Video-Based Surveillance Systems. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5085-3_5.

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Gonzalez, Cesar L., Jorge L. Zapotecatl, J. M. Alberola, V. Julian, and C. Gershenson. "Distributed Management of Traffic Intersections." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01746-0_7.

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Bandeira, Jorge M., Sérgio R. Pereira, Tânia Fontes, Paulo Fernandes, Asad J. Khattak, and Margarida C. Coelho. "An Eco-Traffic Management Tool." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04630-3_4.

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Ferreira Junior, José Raniery. "Urban Traffic Management System by Videomonitoring." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00951-3_1.

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Coconea, Laura, Gonzalo Alcaraz, and Renato Augusto Lira de Andrade. "Cooperative Smart Intersection as an Enabler of Advanced Traffic Management Systems." In CONAT 2016 International Congress of Automotive and Transport Engineering. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45447-4_73.

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Elkin, Dmitry, and Valeriy Vyatkin. "IoT in Traffic Management: Review of Existing Methods of Road Traffic Regulation." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51974-2_50.

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Conference papers on the topic "Advanced traffic management systems"

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Fines, P., and E. Christofylaki. "Advanced Satellite Technologies for Air Traffic Management." In 2008 4th Advanced Satellite Mobile Systems (ASMS). IEEE, 2008. http://dx.doi.org/10.1109/asms.2008.17.

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Wall, Henry B., Blair G. Marsden, and Manny M. Agah. "Status of ADOT Advanced Traffic Management System." In International Pacific Conference On Automotive Engineering. SAE International, 1993. http://dx.doi.org/10.4271/931926.

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Masters, Philip H., Joseph K. Lam, and Kam Wong. "Incident Detection Algorithms for COMPASS - An Advanced Traffic Management System." In Vehicle Navigation & Instrument Systems. SAE International, 1991. http://dx.doi.org/10.4271/912767.

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Kay, Jack L. "Advanced Traffic Management Systems - An Element of Intelligent Vehicle-Highway Systems." In Convergence International Congress & Exposition On Transportation Electronics. SAE International, 1990. http://dx.doi.org/10.4271/901126.

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Davis, Christopher L. "Integration of Mobile Satellite Service with Advanced Traffic Management Systems." In Aerospace Atlantic Conference & Exposition. SAE International, 1991. http://dx.doi.org/10.4271/911146.

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"Incident detection algorithms for COMPASS - An advanced traffic management system." In 1991 Vehicle Navigation and Information Systems Conference. IEEE, 1991. http://dx.doi.org/10.1109/vnis.1991.205776.

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Jesuroga, Richard, Mark Jackson, and Greg Pratt. "Meteorological development for the advanced traffic management system." In 33rd Aerospace Sciences Meeting and Exhibit. American Institute of Aeronautics and Astronautics, 1995. http://dx.doi.org/10.2514/6.1995-60.

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Xiaomei Sun, Zhaosheng Yang, and Pengcheng Sun. "Collaborative optimization model of multiple urban traffic management systems under traffic incidents." In 2010 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE 2010). IEEE, 2010. http://dx.doi.org/10.1109/icacte.2010.5579225.

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Dorai, Atef, Virginie Fresse, Abdellatif Mtibaa, and El-Bay Bourennane. "Backoff hardware architecture for inter-FPGA traffic management." In 2017 International Conference on Advanced Systems and Electric Technologies (IC_ASET). IEEE, 2017. http://dx.doi.org/10.1109/aset.2017.7983674.

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SURUGIU, MARIA CLAUDIA. "INFLUENCE OF ADVANCED MANAGEMENT SYSTEMS TRAFFIC TO REDUCE EMISSION FROM VEHICLES." In 19th SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings. STEF92 Technology, 2019. http://dx.doi.org/10.5593/sgem2019/4.1/s19.123.

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Reports on the topic "Advanced traffic management systems"

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Mears, Brad. Advanced Traffic Management Systems (ATMS) Research Analysis Database System. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada388177.

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Stevens, S. S., and S. M. Chin. Cost estimates for near-term depolyment of advanced traffic management systems. Final report. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10155687.

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Andrews, Ted, and Kumares Sinha. The Components and Benefits of an Advanced Surface Arterial Traffic Management System. Purdue University, 1994. http://dx.doi.org/10.5703/1288284313328.

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Hubbard, Sarah M., and Bryan Hubbard. Investigation of Strategic Deployment Opportunities for Unmanned Aerial Systems (UAS) at INDOT. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317126.

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Unmanned aerial systems (UAS) are increasingly used for a variety of applications related to INDOT’s mission including bridge inspection, traffic management, incident response, construction and roadway mapping. UAS have the potential to reduce costs and increase capabilities. Other state DOTs and transportation agencies have deployed UAS for an increasing number of applications due to technology advances that provide increased capabilities and lower costs, resulting from regulatory changes that simplified operations for small UAS under 55 pounds (aka, sUAS). This document provides an overview of UAS applications that may be appropriate for INDOT, as well as a description of the regulations that affect UAS operation as described in 14 CFR Part 107. The potential applications were prioritized using Quality Function Deployment (QFD), a methodology used in the aerospace industry that clearly communicates qualitative and ambiguous information with a transparent framework for decision making. The factors considered included technical feasibility, ease of adoption and stakeholder acceptance, activities underway at INDOT, and contribution to INDOT mission and goals. Dozens of interviews with INDOT personnel and stakeholders were held to get an accurate and varied perspective of potential for UAVs at INDOT. The initial prioritization was completed in early 2019 and identified three key areas: UAS for bridge inspection safety as a part of regular operations, UAS for construction with deliverables provided via construction contracts, and UAS for emergency management. Descriptions of current practices and opportunities for INDOT are provided for each of these applications. An estimate of the benefits and costs is identified, based on findings from other agencies as well as projections for INDOT. A benefit cost analysis for the application of UAS for bridge inspection safety suggests a benefit cost over one for the analysis period.
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Galvin, James, and Trevor Bailey. Scalable Deployment of Advanced Building Energy Management Systems. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada600339.

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Adetola, Veronica, Sunil Ahuja, Trevor Bailey, et al. Scalable Deployment of Advanced Building Energy Management Systems. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada600343.

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Wang, Jianhui. Foundational Report Series: Advanced Distribution Management Systems for Grid Modernization. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1227398.

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Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, 2021. http://dx.doi.org/10.17760/d20410114.

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Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-consuming and expensive. The main objective of this study is to develop methods and algorithms to automate the post-processing of the visual sensor data towards the extraction of three main categories of information: 1) object information such as object identity, shapes, and spatial relationships - a novel heuristic-based method is proposed to automate the detection and recognition of main structural elements of steel girder bridges in both terrestrial and unmanned aerial vehicle (UAV)-based laser scanning data. Domain knowledge on the geometric and topological constraints of the structural elements is modeled and utilized as heuristics to guide the search as well as to reject erroneous detection results. 2) structural damage information, such as damage locations and quantities - to support the assessment of damage associated with small deformations, an advanced crack assessment method is proposed to enable automated detection and quantification of concrete cracks in critical structural elements based on UAV-based visual sensor data. In terms of damage associated with large deformations, based on the surface normal-based method proposed in Guldur et al. (2014), a new algorithm is developed to enhance the robustness of damage assessment for structural elements with curved surfaces. 3) three-dimensional volumetric models - the object information extracted from the laser scanning data is exploited to create a complete geometric representation for each structural element. In addition, mesh generation algorithms are developed to automatically convert the geometric representations into conformal all-hexahedron finite element meshes, which can be finally assembled to create a finite element model of the entire bridge. To validate the effectiveness of the developed methods and algorithms, several field data collections have been conducted to collect both the visual sensor data and the physical measurements from experimental specimens and in-service bridges. The data were collected using both terrestrial laser scanners combined with images, and laser scanners and cameras mounted to unmanned aerial vehicles.
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May, D. Cost-Benefit Analysis of Confidentiality Policies for Advanced Knowledge Management Systems. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/15004924.

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Singh, Ravindra, James T. Reilly, and Jianhui Wang. Foundational Report Series: Advanced Distribution Management Systems for Grid Modernization, Implementation Strategy for a Distribution Management System. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1351115.

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