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Traffic assignment: A survey of mathematical models and techniques
- Civil and Urban Engineering
- Center for Interacting Urban Networks
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This chapter presents the fundamentals of the theory and techniques of traffic assignment problem. It first presents the steady-state traffic assignment problem formulation which is also called static assignment, followed by Dynamic Traffic Assignment (DTA), where the traffic demand on the network is time varying. The static assignment problem is shown in a mathematical programming setting for two different objectives to be satisfied. The first one where all users experience same travel times in alternate used routes is called user-equilibrium and another setting called system optimum in which the assignment attempts to minimize the total travel time. The alternate formulation uses variational inequality method which is also presented. Dynamic travel routing problem is also reviewed in the variational inequality setting. DTA problem is shown in discrete and continuous time in terms of lumped parameters as well as in a macroscopic setting, where partial differential equations are used for the link traffic dynamics. A Hamilton–Jacobi- based travel time dynamics model is also presented for the links and routes, which is integrated with the macroscopic traffic dynamics. Simulation-based DTA method is also very briefly reviewed. This chapter is taken from the following Springer publication and is reproduced here, with permission and with minor changes: Pushkin Kachroo, and Neveen Shlayan, “Dynamic traffic assignment: A survey of mathematical models and technique,” Advances in Dynamic Network Modeling in Complex Transportation Systems (Editor: Satish V. Ukkusuri and Kaan Özbay) Springer New York, 2013. 1-25.
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- Control and Systems Engineering
- Automotive Engineering
- Aerospace Engineering
- Industrial and Manufacturing Engineering
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- Mathematical models Engineering & Materials Science 100%
- Travel time Engineering & Materials Science 56%
- Time varying networks Engineering & Materials Science 25%
- Mathematical programming Engineering & Materials Science 21%
- User experience Engineering & Materials Science 18%
- Partial differential equations Engineering & Materials Science 18%
- Dynamic models Engineering & Materials Science 14%
T1 - Traffic assignment
T2 - A survey of mathematical models and techniques
AU - Kachroo, Pushkin
AU - Özbay, Kaan M.A.
N1 - Publisher Copyright: © Springer International Publishing AG, part of Springer Nature 2018.
N2 - This chapter presents the fundamentals of the theory and techniques of traffic assignment problem. It first presents the steady-state traffic assignment problem formulation which is also called static assignment, followed by Dynamic Traffic Assignment (DTA), where the traffic demand on the network is time varying. The static assignment problem is shown in a mathematical programming setting for two different objectives to be satisfied. The first one where all users experience same travel times in alternate used routes is called user-equilibrium and another setting called system optimum in which the assignment attempts to minimize the total travel time. The alternate formulation uses variational inequality method which is also presented. Dynamic travel routing problem is also reviewed in the variational inequality setting. DTA problem is shown in discrete and continuous time in terms of lumped parameters as well as in a macroscopic setting, where partial differential equations are used for the link traffic dynamics. A Hamilton–Jacobi- based travel time dynamics model is also presented for the links and routes, which is integrated with the macroscopic traffic dynamics. Simulation-based DTA method is also very briefly reviewed. This chapter is taken from the following Springer publication and is reproduced here, with permission and with minor changes: Pushkin Kachroo, and Neveen Shlayan, “Dynamic traffic assignment: A survey of mathematical models and technique,” Advances in Dynamic Network Modeling in Complex Transportation Systems (Editor: Satish V. Ukkusuri and Kaan Özbay) Springer New York, 2013. 1-25.
AB - This chapter presents the fundamentals of the theory and techniques of traffic assignment problem. It first presents the steady-state traffic assignment problem formulation which is also called static assignment, followed by Dynamic Traffic Assignment (DTA), where the traffic demand on the network is time varying. The static assignment problem is shown in a mathematical programming setting for two different objectives to be satisfied. The first one where all users experience same travel times in alternate used routes is called user-equilibrium and another setting called system optimum in which the assignment attempts to minimize the total travel time. The alternate formulation uses variational inequality method which is also presented. Dynamic travel routing problem is also reviewed in the variational inequality setting. DTA problem is shown in discrete and continuous time in terms of lumped parameters as well as in a macroscopic setting, where partial differential equations are used for the link traffic dynamics. A Hamilton–Jacobi- based travel time dynamics model is also presented for the links and routes, which is integrated with the macroscopic traffic dynamics. Simulation-based DTA method is also very briefly reviewed. This chapter is taken from the following Springer publication and is reproduced here, with permission and with minor changes: Pushkin Kachroo, and Neveen Shlayan, “Dynamic traffic assignment: A survey of mathematical models and technique,” Advances in Dynamic Network Modeling in Complex Transportation Systems (Editor: Satish V. Ukkusuri and Kaan Özbay) Springer New York, 2013. 1-25.
UR - http://www.scopus.com/inward/record.url?scp=85047219067&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85047219067&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-69231-9_2
DO - 10.1007/978-3-319-69231-9_2
M3 - Chapter
AN - SCOPUS:85047219067
T3 - Advances in Industrial Control
BT - Advances in Industrial Control
PB - Springer International Publishing
You are here, developing next-gen traffic signal control systems with air quality in mind.
After a summer that broke all sorts of dismal records in terms of cataclysmic wildfires across North America, there is now an even greater awareness of poor air quality—its myriad health impacts and the overwhelming need for sustainable solutions.
To that end, Yu Yang , an assistant professor of computer science and engineering in Lehigh University’s P.C. Rossin College of Engineering and Applied Science, is leading two research projects, with new support from the National Science Foundation, ultimately aimed at improving the air we breathe.
The most recent award will fund his work using machine learning techniques to develop socially informed traffic signal control systems to reduce air pollution caused by vehicle emissions.
In dense urban areas, vehicles idling at stoplights can contribute to localized air pollution. It’s a problem for everyone—but especially for those with asthma and other health conditions that make them particularly sensitive to airborne particulate matter. Yang and his team are developing a three-pronged method that could allow for a more consistent traffic flow with fewer and/or shorter stops to minimize polluting emissions.
They’ll first develop a low-cost, mobile air-quality sensing system to identify areas of high pollution, and collect the social requirements of different areas. An area with a hospital, for example, might harbor large numbers of sensitive individuals.
“We’ll use those data to then develop a spatial-temporal graph diffusion learning model to determine the traffic situation in our test-bed city of Newark, New Jersey,” says Yang. “In other words, what is both the traffic and the air pollution like at different points of time in different locations?”
Finally, the researchers will use a reinforcement learning method that will incorporate traffic signals around the city, and simulate how traffic signal control helps improve air quality.
“This is the first project of its kind to incorporate a social component into a traffic control system,” says Yang. “We’re taking both a technical and a social perspective to solve a real-world problem.”
Ultimately, Yang envisions a traffic management system that would enable city transportation officials to control signals in real time, and a web-based system that would show city residents location-specific air quality levels so they can make informed decisions about what activities they do and where.
“Cities can have thousands of these vehicles, and so the problem becomes managing them, and making sure the location of the vehicles satisfies the demand for them,” he says.
He and his team are designing an algorithm to determine the best strategy for ensuring that, on a daily basis, sufficient numbers of vehicles are located in areas of high demand, and that those vehicles are sufficiently charged.
Their approach will also consider human-system interaction, like how people actually select and interact with the vehicles, he says. “The existing work in this area assumes that people just randomly pick their ride. But that’s not the case, people have preferences for things like how the bike or scooter looks and how much charge it has. Incorporating this kind of information will help us optimize our algorithm so it reflects how people actually use the system.”
He envisions a system that will generate a daily strategy based on the current location and charge level of all vehicles. “Based on the optimal strategy, then the operation center responsible for them can send out their trucks in the night to both charge and transport the bikes or scooters to the areas that will satisfy the next day’s demand.”
In both projects, the human element plays a key role, says Yang, and that’s what makes them exciting: “These are real problems that citizens are experiencing every day, and by incorporating how people are affected by and affect these systems, we can make them better for everyone.”
Yu Yang, assistant professor, computer science and engineering
Story by Christine Fennessy
Photo illustrations by Katie Kackenmeister
Asce establishes dan m. frangopol medal for life-cycle engineering of civil structures, ‘cutting the cord’ to advance ocean data collection, blocher mctigue to lead seminar at umd, gilchrist co-hosts g.i. taylor medal symposium at the 2023 society for engineering science.
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TVEL completes development of modified fuel for Paks
13 October 2020
The development and validation of modified fuel for use in the four VVER-440 reactors at the Paks nuclear power plant in Hungary has now been completed, Rosatom's nuclear fuel manufacturer subsidiary TVEL announced today. The first consignment of the modified fuel is scheduled to be delivered to the Paks plant later this year.
TVEL said the full package of documents has been submitted to the Hungarian customer, MVM Paks Ltd, for further licensing of the fuel by the national nuclear power regulator. It said the first fuel assemblies have passed acceptance testing at the Elemash Machine-building plant, a TVEL fuel fabrication facility in Elektrostal, Moscow region.
The engineering contract between TVEL and MVM Paks for development of the new VVER-440 fuel was signed in November 2017.
The new modification of second-generation VVER-440 fuel enables an increase in the coolant volume inside the reactor core and optimisation of the hydro-uranium ratio, which would have a positive impact on both the technical and economic performance of the power unit, TVEL said.
TVEL noted the project has involved the participation of a number of Russian nuclear industry enterprises, such as OKB Gidropress (part of Rosatom's machine-building division Atomenergomash), Bochvar Institute (TVEL's material science research facility), Elemash Machine-building plant and Kurchatov Institute national research centre. The new fuel passed a range of hydraulic, longevity and vibration tests at the site of OKB Gidropress research and experiment facility.
Paks, which has a total installed capacity 1902 MWe, is the only operating nuclear power plant in Hungary. It comprises four VVER-440 reactors that were commissioned between 1982 and 1987. It is currently the only VVER-440 plant in the world operating in extended 15-month fuel cycles. It produces about 15 billion kWh of power annually, which is about half of Hungary's electricity generation.
"TVEL Fuel Company and Paks NPP have a longstanding partnership with a number of successfully accomplished projects. Introduction of the new fuel modification at all four power units of the plant would enable our customer to decrease gradually the fuel share in the power generation cost, giving an essential economic impact," TVEL President Natalia Nikipelova said. "Paks NPP contributes about the half of the whole electricity generation in Hungary and, for us as a nuclear fuel manufacturer, it is a matter of professional pride to provide the Hungarian nuclear power units with reliable supplies of fuel that is both high-quality and commercially attractive."
Russia and Hungary signed an intergovernmental agreement in early 2014 for Russian enterprises and their international sub-contractors to supply two VVER-1200 reactors at Paks, including a Russian state loan of up to EUR10.0 billion (USD11.2 billion) to finance 80% of the project, which is known as Paks II.
Finnish utility Fortum signed a contract with TVEL in March 2018 for the supply of the modified fuel for use at its twin VVER-440 Loviisa plant.
Researched and written by World Nuclear News
'full government support' for niger uranium project, floating nuclear power plant set for first refuelling, study to evaluate lightbridge fuel use in candu reactors, orano to expand capacity of french enrichment plant, enrichment operations start at us haleu plant, centrus makes first haleu delivery, hungary says romania to continue to allow nuclear fuel transport, ministerial approval for nexgen uranium project, franco-mongolian protocol lays foundations for uranium project.
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- Processes of Obtaining and Properties of Powders
- Published: 28 June 2009
Some results uranium dioxide powder structure investigation
- E. I. Andreev 1 ,
- K. V. Glavin 2 ,
- A. V. Ivanov 3 ,
- V. V. Malovik 3 ,
- V. V. Martynov 3 &
- V. S. Panov 2
Russian Journal of Non-Ferrous Metals volume 50 , pages 281–285 ( 2009 ) Cite this article
Features of the macrostructure and microstructure of uranium dioxide powders are considered. Assumptions are made on the mechanisms of the behavior of powders of various natures during pelletizing. Experimental data that reflect the effect of these powders on the quality of fuel pellets, which is evaluated by modern procedures, are presented. To investigate the structure of the powders, modern methods of electron microscopy, helium pycnometry, etc., are used. The presented results indicate the disadvantages of wet methods for obtaining the starting UO 2 powders by the ammonium diuranate (ADU) flow sheet because strong agglomerates and conglomerates, which complicate the process of pelletizing, are formed. The main directions of investigation that can lead to understanding the regularities of formation of the structure of starting UO 2 powders, which will allow one to control the process of their fabrication and stabilize the properties of powders and pellets, are emphasized.
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Patlazhan, S.A., Poristost’ i mikrostruktura sluchainykh upakovok tverdykh sharov raznykh razmerov (Porosity and Microstructure of Chaotic Packings of Solid Spheres of Different Sizes), Chernogolovka: IKhF RAN, 1993.
Andreev, E.I., Bocharov, A.S., Ivanov, A.V., et al., Izv. Vyssh. Uchebn. Zaved., Tsvetn. Metall. , 2003, no. 1, p. 48.
Assmann, H., Dörr, W., and Peehs, M., “Control of HO 2 Microstructure by Oxidative Sintering,” J. Nucl. Mater. , 1986, vol. 140,issue 1, pp. 1–6.
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Elektrostal’ Polytechnical Institute (Branch), Moscow Institute of Steel and Alloys, ul. Pervomaiskaya 7, Elektrostal’, Moscow oblast, 144000, Russia
E. I. Andreev
Moscow Institute of Steel and Alloys (State Technical University), Leninskii pr. 4, Moscow, 119049, Russia
K. V. Glavin & V. S. Panov
JSC “Mashinostroitelny Zavod”, ul. K. Marksa 12, Elektrostal’, Moscow oblast, 144001, Russia
A. V. Ivanov, V. V. Malovik & V. V. Martynov
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Correspondence to K. V. Glavin .
Original Russian Text © E.I. Andreev, K.V. Glavin, A.V. Ivanov, V.V. Malovik, V.V. Martynov, V.S. Panov, 2009, published in Izvestiya VUZ. Poroshkovaya Metallurgiya i Funktsional’nye Pokrytiya, 2008, No. 4, pp. 19–24.
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Cite this article.
Andreev, E.I., Glavin, K.V., Ivanov, A.V. et al. Some results uranium dioxide powder structure investigation. Russ. J. Non-ferrous Metals 50 , 281–285 (2009). https://doi.org/10.3103/S1067821209030183
Published : 28 June 2009
Issue Date : June 2009
DOI : https://doi.org/10.3103/S1067821209030183
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SF hosting APEC Nov 11 to 17
The Asia-Pacific Economic Cooperation (APEC) will be in SF November 11 to 17.
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From Tuesday Nov 14 until Friday Nov 17, there will be lanes closed on the Bay Bridge. The left lane on the lower deck eastbound and the right lane upper deck westbound will be closed.
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Taxis will not be able to access any of the streets closed for APEC-related events.
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Loading zones will not be set up around the Fairmont hotel.
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Asia-Pacific Economic Cooperation (APEC) is the leading economic forum for the 21 Member Economies of the Asia-Pacific region, facilitating trade and investment, economic growth, and regional cooperation.
In 2023, the United States is chairing APEC. San Francisco will be the Host City for the APEC Economic Leaders’ Week (AELW).
APEC meetings throughout this year have focused on regional economic issues, including sustainability, digitalization, women’s economic empowerment, trade facilitation, energy security, food security, and health.
In concluding APEC 2023, the AELW will bring 21 APEC Economic Leaders, ministers, the private sector, and other stakeholders together to engage on global challenges.
US APEC 2023 will be the most significant event with world leaders in San Francisco in recent history.
Learn more about APEC
Dominic Smith and Cory Abbott DFA'd by the Nats. Victor Robles and Tanner Rainey avoid arbitration
By the associated press | updated - nov. 14, 2023 at 2:54 p.m. | posted - nov. 14, 2023 at 12:20 p.m..
Estimated read time: Less than a minute
WASHINGTON — First baseman Dominic Smith and right-hander Cory Abbott have been designated for assignment by the Washington Nationals. The club also requested unconditional release waivers for right-hander Andrés Machado. The Nationals say Machado plans to pitch in Japan. The moves open room on the 40-man roster, and Washington selected the contracts of four pitchers: right-handers Cole Henry and Zach Brzykcy, and left-handers DJ Herz and Mitchell Parker. Smith hit .254 with a .326 on-base percentage and a .366 slugging percentage in 2023, with 12 homers and 46 RBIs for the Nationals. Victor Robles and Tanner Rainey agreed to 1-year contracts to avoid arbitration.
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