Готові списки джерел за темами / Study of traffic flow

Добірка наукової літератури з теми "Study of traffic flow"

Автор: Grafiati
Опубліковано: 30 травня 2022
Оновлено: 31 травня 2022

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Статті в журналах з теми "Study of traffic flow"

1

Yamuna, S. "Study of Traffic Flow Characteristics for Heterogeneous Traffic." IOSR Journal of Engineering 4, no. 5 (May 2014): 41–51. http://dx.doi.org/10.9790/3021-04514151.

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2

Liu, Wen Bin, and Yue Qiang Yang. "The Study of Traffic Rules Based on Cellular Automata Traffic Wave Model." Applied Mechanics and Materials 721 (December 2014): 47–51. http://dx.doi.org/10.4028/www.scientific.net/amm.721.47.

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Анотація:
The traffic control problem is a hot issue in recent years. We investigate the effectiveness of three traffic rules in assuring safety and improve traffic flow. We utilize a cellular automata method of traffic flow to investigate and simulate the vehicle performance and use a linear weighting approach to weigh safety and traffic flow comprehensively. We establish overtaking models of a two-lane freeway on the basis of the stochastic traffic cellular automaton (STCA) model. Using the cellular automata method, we simulate the relationships between the traffic flows, the average vehicle velocity, and the vehicle density. We propose two new traffic rules, which in the premise of ensuring safety and improve traffic flow.
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3

Ballari, Syed Omar. "Area Occupancy Characteristics in Traffic Flow on Urban Highway: A Case Study." Journal of Advanced Research in Dynamical and Control Systems 11, no. 10 (October 31, 2019): 18–26. http://dx.doi.org/10.5373/jardcs/v11i10/20193001.

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4

Huang, Hai Yun, and Jun Ping Zhang. "Study on Traffic Flow Model Considering the Interaction of Vehicles." Advanced Materials Research 838-841 (November 2013): 2113–16. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.2113.

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In this paper, considering the influence of mixed traffic and overtaking on traffic flow, the formula of viscous resistance was put forth; a new Hydrodynamics model was established. Discrete analysis was carried out on the mechanical equation through the difference method, through which the change in the traffic flows parameters through time and space can be analyzed. Finally, the measured data simulation analysis results show that the new traffic flow model is of certain practical reference.
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5

Lakouari, N., O. Oubram, R. Marzoug, H. Ez-Zahraouy, J. G. Velásquez-Aguilar, and L. Cisneros-Villalobos. "Simulation study of traffic circle intersection with traffic lights." International Journal of Modern Physics C 29, no. 07 (July 2018): 1850062. http://dx.doi.org/10.1142/s0129183118500626.

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Using the Nagel-Schreckenberg model, we investigate the flow characteristics in a traffic circle system, where the entry lanes are controlled by traffic lights operating in a fixed-time ([Formula: see text]. We considered four different strategies to control traffic coming from [Formula: see text] entry lanes. We found that depending on the strategy used, four distinct traffic phases can appear in the circulating lane of the traffic circle, namely free flow, congestion, maximum current, and gridlock. Also, we investigate the origin of the gridlock phase in both cases (i.e. with/without traffic lights). Furthermore, the lengths of queues of stopped vehicles in the entry lanes were studied. We found that the traffic flow behavior on the exit/entry lanes depends strongly on the flow characteristics at the circulating lane as well as traffic lights strategy. To improve the operation of the traffic circle system, we have studied the time delay between the traffic lights to switch where all entry lanes go red, which allowing vehicles to clear the circulating lane.
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6

Zeng, Junwei, Senbin Yu, Yongsheng Qian, and Xiao Feng. "Expressway traffic flow model study based on different traffic rules." IEEE/CAA Journal of Automatica Sinica 5, no. 6 (November 2018): 1099–103. http://dx.doi.org/10.1109/jas.2017.7510469.

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7

Oleg Fyodorovich Danilov, Victor Ivanovich Kolesov, Denis Alexandrovich Sorokin, and Maxim Leonidovich Gulaev. "Study on the Vehicle Linear Dynamic Interval in a Traffic Flow." Communications - Scientific letters of the University of Zilina 23, no. 1 (January 4, 2021): E11—E22. http://dx.doi.org/10.26552/com.c.2021.1.e11-e22.

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Анотація:
The transportation industry of a modern city involves the effective systems for the road traffic management. To manage any object is impossible without understanding its specifics. The tasks of road traffic management are based on mathematical models of traffic flows. The “following the leader” model based on the linear dynamic interval of vehicles has become widely accepted in the model analysis. The paper discusses the mathematical model of the linear dynamic interval of vehicles; the model is identified structurally and parametrically. Coefficients of the model are analyzed in detail; a generalized assessment of the dynamic performance of the traffic flow, evolved in various road conditions, is given. The study has resulted in the proposed basic models for traffic flows that can be used for algorithmic support of the model analysis of traffic flows and the road traffic management.
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8

Ju, Yong Feng, and Xiao Wei Wei. "Study on Urban Intersection Traffic Flow Forecasting and Traffic Signal Control." Applied Mechanics and Materials 135-136 (October 2011): 969–74. http://dx.doi.org/10.4028/www.scientific.net/amm.135-136.969.

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Short-traffic flow forecasting is an important part of ITS, and its accuracy and real-time is directly related to the effect of traffic control and traffic induce. Gathering and analyzing the real-time data of urban road network ,short-time traffic flow forecasting could estimate the state of traffic flow for a few minutes in future and provide support to intelligent transportation control, so it is one of the important premise for ITS.
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9

Pešić, Dalibor, Boris Antić, Emir Smailovic, and Bojana Todosijević. "The impact of the average traffic flow speed on occurrence risk of road crash." Put i saobraćaj 65, no. 2 (July 9, 2019): 29–36. http://dx.doi.org/10.31075/pis.65.02.05.

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Анотація:
Traffic flow characteristics have a significant impact on occurrence risk of road crash. The most important characteristics of the traffic flow, the impact of which is the subject of numerous studies, are the traffc flow, density, average traffic flow speed, dispersion of traffic flow speeds, as well as the contents of vehicle in traffic flow. These characteristics are in strong correlation between each other, so changes in one parameter conditional make change of other parameters. Research shows that speed-related traffic flow parameters have a significant impact on occurrence risk of road crash. Therefore, in this study an analysis of the impact of the change in the average speed of the traffic flow on the risk of an accident occurred. The research includes a section of the single carriageway from Preljina to Ljig. After the construction of the highway in the stated section of the signle carriageway, a change in the characteristics of the traffic flow occurred, with this study examining the impact of changing the average speed of the traffic flow to the occurrence risk of road crash. The connection between the speed of traffic flow and the risk of accidents has been confirmed in this study, so with the increase in average speed the risk of accidents increases.
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10

Ji, Shou Wen, Lin Shuai Wang, and Kai Ding. "Study on Freight Traffic Flow of Port." Applied Mechanics and Materials 178-181 (May 2012): 1773–77. http://dx.doi.org/10.4028/www.scientific.net/amm.178-181.1773.

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There are clear industrial characteristics of freight traffic flow in port. According to the round distribution method, the uneven distribution of time, functional orientation of road network and properties of mixed flow road are analyzed with the example of Lianyungang.
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Дисертації з теми "Study of traffic flow"

1

Västlund, Filip. "Video Flow Classification : A Runtime Performance Study." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-56621.

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Due to it being increasingly common that users' data is encrypted, the Internet service providers today find it difficult to adapt their service for the users' needs. Previously popular methods of classifying users data does not work as well today and new alternatives is therefore desired to give the users an optimal experience.This study focuses specifically on classifying data flows into video and non-video flows with the use of machine learning algorithms and with a focus on runtime performance. In this study the tested algorithms are created in Python and then exported into a C code implementation, more specifically the random forest and the gradient boosting trees algorithm.The goal is to find the algorithm with the fastest classification time relative to its accuracy, making the classification as fast as possible and the classification model to require as little space as possible.The results show that random forest was significantly faster at classification than gradient boosting trees, with initial tests showing it to be roughly 7 times faster after compiler optimization. After optimizing the C code random forest could classify more than 250,000 data flows each second with decent accuracy. Neither of the two algorithms required a lot of space (<3 megabyte).
HITS, 4707
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2

Lehman, Mark. "A study of traffic flow using GPS data." Connect to this title online, 2005. http://hdl.handle.net/1811/557.

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Thesis (Honors)--Ohio State University, 2005
Title from first page of PDF file. Document formattted into pages: contains, 25.; also includes graphics. Includes bibliographical references (p. 25) Available online via Ohio State University's Knowledge Bank.
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3

Gopalan, Ganesh. "Improvement of traffic flow conditions using access management techniques : a netsim study /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p1426063.

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4

Arezki, Y. "Algorithms for the traffic assignment problem with a fixed demand." Thesis, University of Leeds, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.379651.

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5

CHEN, YIDI. "A Numerical Study of Multi-class Traffic Flow Models." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu158714737847054.

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6

Fong, Pui San. "Assessment of roundabout in urban road network :a case study of Macau." Thesis, University of Macau, 2017. http://umaclib3.umac.mo/record=b3691706.

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Sultan, Beshr. "The study of motorway operation using a microscopic simulation model." Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322018.

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Toth, Christopher Stephen. "Empirical study of the effect of offramp queues on freeway mainline traffic flow." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53098.

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The dissertation examines the relationship between the number of lane changes, the speed of the ramp lane, and the location upstream of the ramp split. Analyses indicate the number of lane changes exhibits a parabolic relationship with respect to the ramp lane speed, and the number of lane changes exhibits gamma-distributed relationship with respect to the distance upstream of the ramp. The macroscopic lane changing model presented is best characterized as the development of generalized lane-changing relationships, and provides a starting point from which more complex corridor-level models can be developed. This study also identifies an unusual car-following behavior exhibited by certain lane-changing drivers. When the target lane is moving slowly, some lane-changing drivers will slow down, causing a disruption in their initial lane. Regression analysis is used to estimate the speed upstream of the initial lane to indicate the disruption is responsible for the lateral propagation of congestion. The lane choice of exiting vehicles is also studied. Lane choice appears to be a function of origin/destination, and freeway speed. As speeds in the general purpose lanes decrease, exiting vehicles are more likely to wait longer to move into the exit ramp lanes, resulting in an increased lane changing density. Results from this study are expected to have the greatest impact on microscopic lane-change model validation. Additionally, results have implications for design and safety issues associated with freeway ramps. As data collection technologies improve and data becomes increasingly available, this research provides the basis for the further development of more elaborate lane-changing models.
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Queiroz, Isabela Nascimento Fernandes De. "Study on methodology for analysis of traffic flow based on video image data." 京都大学 (Kyoto University), 2005. http://hdl.handle.net/2433/145385.

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Lazim, Mohamad Alias. "Econometric forecasting models and model evaluation : a case study of air passenger traffic flow." Thesis, Lancaster University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296880.

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Книги з теми "Study of traffic flow"

1

Folks, Tom. The crooked street: Traffic study report. [San Francisco, Calif.]: Dept. of Parking and Traffic, 2000.

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2

Glad, Richard W. Weave analysis and performance: The Washington State case study. [Olympia, Wash.]: Washington State Dept. of Transportation, 2001.

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3

Moses, P. J. Traffic management and safety in Europe and North America, 1988: A study tour. [Western Australia: Western Australia Main Roads Dept., 1988.

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4

Branch, North Carolina Division of Highways Statewide Planning. Thoroughfare plan study report for Washington County. Raleigh, N.C.]: The Branch, 2001.

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5

North Carolina. Division of Highways. Statewide Planning Branch. Thoroughfare plan study report for the town of Plymouth. Raleigh, N.C.]: The Branch, 2000.

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6

San Francisco County Transportation Authority. Doyle Drive environmental and design study: Initial environmental study. San Francisco, Calif: San Francisco Transportation Authority, 2000.

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7

Traffic, San Francisco (Calif ). Dept of Planning and. Feasibility study for Market Street transit-commercial street. [San Francisco, Calif.]: Dept. of Planning and Traffic, 1990.

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8

Associates, DKS. Yerba Buena Plaza West: Traffic and transportation study : final consultants report. Oakland, CA: DKS Associates, 1988.

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9

Ltd, Maunsell Pty. Congestion points study phase III: Best practices manual and technical report. Singapore: APEC Secretariat, 1997.

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10

McCullough, B. Frank. Texas-Mexico toll bridge study: Summary report. Austin, Tex: The Center, 1994.

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Частини книг з теми "Study of traffic flow"

1

Gutiérrez, Gustavo, Philippe Boltenhagen, José Lanuza, and Eric Clément. "Silo Collapse: An Experimental Study." In Traffic and Granular Flow ’07, 517–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-77074-9_56.

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2

Keyvan-Ekbatani, Mehdi, Victor L. Knoop, Vincent Grébert, and Winnie Daamen. "Lane Change Strategies on Freeways: A Microscopic Simulation Study." In Traffic and Granular Flow '15, 395–402. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33482-0_50.

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3

Zhang, Jun, W. Klingsch, A. Schadschneider, and A. Seyfried. "Experimental Study of Pedestrian Flow Through a T-Junction." In Traffic and Granular Flow '11, 241–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39669-4_23.

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Raju, Narayana, Shriniwas Arkatkar, and Gaurang Joshi. "Study of Vehicle-Following Behavior Under Heterogeneous Traffic Conditions." In Traffic and Granular Flow '17, 87–95. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11440-4_11.

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Kneidl, Angelika. "How Do People Queue? A Study of Different Queuing Models." In Traffic and Granular Flow '15, 201–8. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33482-0_26.

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Lv, Wei, Xiaoge Wei, and Weiguo Song. "Experimental Study on the Interaction Mechanism of Cross-Walking Pedestrians." In Traffic and Granular Flow '13, 219–26. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10629-8_26.

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Liu, Chi, Weiguo Song, and Siuming Lo. "Experimental Study on the Influence of Step Phase in Pedestrian Movement." In Traffic and Granular Flow '15, 121–28. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33482-0_16.

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von Krüchten, Cornelia, Frank Müller, Anton Svachiy, Oliver Wohak, and Andreas Schadschneider. "Empirical Study of the Influence of Social Groups in Evacuation Scenarios." In Traffic and Granular Flow '15, 65–72. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33482-0_9.

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Lian, Liping, Weiguo Song, Yuen Kwok Kit Richard, and Chunlin Wu. "Experimental Study of High-Density Pedestrian Flow Field Characteristics at a Crossing." In Traffic and Granular Flow '15, 57–64. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33482-0_8.

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Lovreglio, Ruggiero, Charitha Dias, Xiang Song, and Lucia Ballerini. "Towards Microscopic Calibration of Pedestrian Simulation Models Using Open Trajectory Datasets: The Case Study of the Edinburgh Informatics Forum." In Traffic and Granular Flow '17, 215–23. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11440-4_25.

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Тези доповідей конференцій з теми "Study of traffic flow"

1

Lou, Zheng, and Liming Dai. "A Study of Traffic Noise Reduction Performance of Arc Pavement Roads and Traffic Flow." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-13325.

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Asphalt Rubber Concrete (ARC) pavement has shown an excellent performance of noise reduction in terns of reducing the power of air pumping, absorbing sound power, depressing carcass vibration and changing sound reflection geometry. This research is to investigate the traffic noise reduction performance of a segment of test highway with ARC pavement in Saskatchewan, Canada. Before and after the highway section was repaved, a series of traffic noise level measurements combining with traffic flow monitoring are conducted in order to compare the sound performance of ARC and conventional pavements. A relationship between the noise level and corresponding traffic flow conditions of ARC pavement is established. The energetic averaging method is employed to study the relationship between traffic noise level and traffic flow condition. The two noise levels of 24-hour's time averaged and Statistical Pass-By noise levels indicated that the ARC pavement has a better sound performance over that of conventional pavement in terms of traffic noise reduction. The traffic noise reduction applicability of ARC pavement under various traffic flow conditions is also performed in this research.
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2

Gu, Yuanli, and Lei Yu. "Study on Short-Time Traffic Flow Forecasting Methods." In 2010 International Conference on Logistics Engineering and Intelligent Transportation Systems (LEITS). IEEE, 2010. http://dx.doi.org/10.1109/leits.2010.5665036.

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Sun, Zhanquan, Jingshan Pan, and Qing Duan. "Study on a New Traffic Flow Forecasting Method." In 2008 Fourth International Conference on Natural Computation. IEEE, 2008. http://dx.doi.org/10.1109/icnc.2008.883.

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Li, Haijian, Limin Jia, Honghui Dong, Yong Qin, Dongwei Xu, and Xiaoliang Sun. "Study on spacing optimization for traffic flow detector." In 2010 13th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2010). IEEE, 2010. http://dx.doi.org/10.1109/itsc.2010.5625045.

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Zhang, L. D., Y. L. Wang, Zh Q. Sun, and J. Sh Pan. "Real Urban Traffic Flow Chaotic Phase Space Study." In 2008 11th International IEEE Conference on Intelligent Transportation Systems. IEEE, 2008. http://dx.doi.org/10.1109/itsc.2008.4732547.

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Feng, Shuo, Yi Zhang, and Li Li. "A comparison study for traffic flow data compression." In 2016 12th World Congress on Intelligent Control and Automation (WCICA). IEEE, 2016. http://dx.doi.org/10.1109/wcica.2016.7578453.

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Zhang, Xiongfei, Zhengdong Xia, Jinchang Li, and Qin Luo. "Traffic Flow Simulation Study Considering Blind Driving Behavior." In 19th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2019. http://dx.doi.org/10.1061/9780784482292.285.

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Yang, Zhaosheng, and Daosong Ma. "Study on the Implement Technologies of Urban Traffic Flow Guidance System." In International Conference on Traffic and Transportation Studies (ICTTS) 2002. Reston, VA: American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40630(255)97.

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Zhou, Chenglong, Xiaohong Chen, and Haixu Liu. "Cell Transmission Model Based Study on Traffic Flow Characteristics for Traffic Incidents." In 15th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479292.196.

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Liu, Fengtao, and Yong Tang. "Simulation Study on the Application of Traffic-Flow Complexity Measure in Traffic Control." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.3044.

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Звіти організацій з теми "Study of traffic flow"

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Siebke, Christian, Maximilian Bäumler, Madlen Ringhand, Marcus Mai, Mohamed Nadar Ramadan, and Günther Prokop. Report on layout of the traffic simulation and trial design of the evaluation. Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.244.

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Анотація:
Within the AutoDrive project, openPASS is used to develop a cognitive stochastic traffic flow simulation for urban intersections and highway scenarios, which are described in deliverable D1.14. The deliverable D2.16 includes the customizations of the framework openPASS that are required to provide a basis for the development and implementation of the driver behavior model and the evaluated safety function. The trial design for the evaluation of the safety functions is described. Furthermore, the design of the driver behavior study is introduced to parameterize and validate the underlying driver behavior model.
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2

Chien, Stanley, Yaobin Chen, Lauren Christopher, Mei Qiu, and Zhengming Ding. Road Condition Detection and Classification from Existing CCTV Feed. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317364.

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The Indiana Department of Transportation (INDOT) has approximately 500 digital cameras along highways in populated areas of Indiana. These cameras are used to monitor traffic conditions around the clock, all year round. Currently, the videos from these cameras are observed one-by-one by human operators looking for traffic conditions and incidents. The main objective of this research was to develop an automatic, real-time system to monitor traffic conditions and detect incidents automatically. The Transportation and Autonomous Systems Institute (TASI) of the Purdue School of Engineering and Technology at Indiana University-Purdue University Indianapolis (IUPUI) and the Traffic Management Center of INDOT developed a system that monitors the traffic conditions based on the INDOT CCTV video feeds. The proposed system performs traffic flow estimation, incident detection, and classification of vehicles involved in an incident. The research team designed the system, including the hardware and software components added to the existing INDOT CCTV system; the relationship between the added system and the currently existing INDOT system; the database structure for traffic data extracted from the videos; and a user-friendly, web-based server for showing the incident locations automatically. The specific work in this project includes vehicle-detection, road boundary detection, lane detection, vehicle count over time, flow-rate detection, traffic condition detection, database development, web-based graphical user interface (GUI), and a hardware specification study. The preliminary prototype of some system components has been implemented in the Development of Automated Incident Detection System Using Existing ATMS CCT (SPR-4305).
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Mohammadian, Abolfazl, Amir Bahador Parsa, Homa Taghipour, Amir Davatgari, and Motahare Mohammadi. Best Practice Operation of Reversible Express Lanes for the Kennedy Expressway. Illinois Center for Transportation, September 2021. http://dx.doi.org/10.36501/0197-9191/21-033.

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Reversible lanes in Chicago’s Kennedy Expressway are an available infrastructure that can significantly improve traffic performance; however, a special focus on congestion management is required to improve their operation. This research project aims to evaluate and improve the operation of reversible lanes in the Kennedy Expressway. The Kennedy Expressway is a nearly 18-mile-long freeway in Chicago, Illinois, that connects in the southeast to northwest direction between the West Loop and O’Hare International Airport. There are two approximately 8-mile reversible lanes in the Kennedy Expressway’s median, where I-94 merges into I-90, and there are three entrance gates in each direction of this corridor. The purpose of the reversible lanes is to help the congested direction of the Kennedy Expressway increase its traffic flow and decrease the delay in the whole corridor. Currently, experts in a control location switch the direction of the reversible lanes two to three times per day by observing real-time traffic conditions captured by a traffic surveillance camera. In general, inbound gates are opened and outbound gates are closed around midnight because morning traffic is usually heavier toward the central city neighborhoods. In contrast, evening peak-hour traffic is usually heavier toward the outbound direction, so the direction of the reversible lanes is switched from inbound to outbound around noon. This study evaluates the Kennedy Expressway’s current reversing operation. Different indices are generated for the corridor to measure the reversible lanes’ performance, and a data-driven approach is selected to find the best time to start the operation. Subsequently, real-time and offline instruction for the operation of the reversible lanes is provided through employing deep learning and statistical techniques. In addition, an offline timetable is also provided through an optimization technique. Eventually, integration of the data-driven and optimization techniques results in the best practice operation of the reversible lanes.
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Padhye, Suyash, Isaiah Mwamba, Kyubyung Kang, Samuel Labi, and Makarand Hastak. Safety, Mobility, and Cost Benefits of Closing One Direction of the Interstate in Rural Areas During Construction Work. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317345.

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With specific regard to interstates in the rural area, Indiana Department of Transportation (INDOT) has expressed a need for research that sheds light on this Maintenance of Traffic (MOT) issue so the agency [INDOT and the contractor] can make informed decisions regarding the crossover sections versus the closure in one direction with detour roads. A number of studies have investigated the advantages and disadvantages of various MOT strategies; however, there is no specific study that can help INDOT traffic engineers and design engineers make decisions by comparing direct and indirect benefits of crossovers and detours (full lane closures). This research examined the advantages and disadvantages of entirely closing one direction of traffic over traditional work zone techniques (such as partial lane closure through median crossover) from the perspectives of the agency, road users, and the community. In the case of full closure, the study (a) examined the alternative MOT strategies and best practices through an extensive literature review and survey of agencies (b) investigated risk, benefit, and costs associated with selected detour routes (c) validated the identified critical factors through case studies in Indiana and at other states, and (d) implemented best practices in an expected project to evaluate the safety, mobility, and cost benefits of closing one direction. Through the literature review and four case studies, eleven KPIs for MOT strategy developments were identified. This study prioritized these KPIs through the survey questionnaire. The top five KPIs are (1) safety, (2) mobility, (3) budget constraint, (4) project duration, (5) complexity of project sites. Based on these KPIs and other findings presented in Section 4.3.3, this study has proposed a comparison tool for predetermined MOT strategies in the form of a flow-chart. This tool is followed by the scores or weights associated with each KPI. These scores are normalized—i.e., the most important KPI which is safety, has the maximum weightage 1 and rest of the KPIs are weighed relatively. INDOT has a set of editable documents which are references for making MOT decisions. This proposed flow-chart tool will “walk” the INDOT team through the use of these spreadsheets corresponding to the identified KPIs through this study. It will be at the discretion of the INDOT team as to which KPIs are relevant to the situation at hand. Therefore, the flow-chart tool is flexible to incorporate the dynamic nature of MOT strategy selection.
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Brownlee, N., C. Mills, and G. Ruth. Traffic Flow Measurement: Architecture. RFC Editor, October 1999. http://dx.doi.org/10.17487/rfc2722.

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Brownlee, N., C. Mills, and G. Ruth. Traffic Flow Measurement: Architecture. RFC Editor, January 1997. http://dx.doi.org/10.17487/rfc2063.

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Carlson, Jake. Traffic Flow - Purdue University. Purdue University Libraries, October 2009. http://dx.doi.org/10.5703/1288284315016.

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Tsirtsis, G., G. Giarreta, H. Soliman, and N. Montavont. Traffic Selectors for Flow Bindings. RFC Editor, January 2011. http://dx.doi.org/10.17487/rfc6088.

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Brownlee, N. Traffic Flow Measurement: Meter MIB. RFC Editor, January 1997. http://dx.doi.org/10.17487/rfc2064.

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Brownlee, N. Traffic Flow Measurement: Meter MIB. RFC Editor, October 1999. http://dx.doi.org/10.17487/rfc2720.

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