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Artykuły w czasopismach na temat "Traffic matrix"

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Medina, A., N. Taft, K. Salamatian, S. Bhattacharyya, and C. Diot. "Traffic matrix estimation." ACM SIGCOMM Computer Communication Review 32, no. 4 (2002): 161–74. http://dx.doi.org/10.1145/964725.633041.

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Adhikari, Vijay Kumar, Sourabh Jain, and Zhi-Li Zhang. "From traffic matrix to routing matrix." ACM SIGMETRICS Performance Evaluation Review 38, no. 3 (2011): 49–54. http://dx.doi.org/10.1145/1925019.1925029.

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Tune, Paul, and Matthew Roughan. "Spatiotemporal Traffic Matrix Synthesis." ACM SIGCOMM Computer Communication Review 45, no. 4 (2015): 579–92. http://dx.doi.org/10.1145/2829988.2787471.

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He, Hui, Ming Chang, Xing Wang, Wen Juan Li, Hong Li Zhang, and Hong Mei Ma. "The Quantification of Overlay Network Congestion Based on Compressive Sensing." Advanced Materials Research 268-270 (July 2011): 1564–67. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.1564.

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To obtain overlay network traffic and delay information between two hosts is important for network management, monitoring, design, planning and assessment. Traffic matrix and delay matrix represent the traffic and delay information between two hosts, so introduce the concept of the overlay network traffic matrix and delay matrix. Compressive sensing theory restores traffic matrix and delay matrix but is not suitable for overlay network. This paper improves compressive sensing algorithm to make it more applicable to overlay network traffic matrix and delay matrix restoration. After calculating
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ZHOU, Jing-Jing. "Research on Traffic Matrix Estimation." Journal of Software 18, no. 11 (2007): 2669. http://dx.doi.org/10.1360/jos182669.

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Tune, Paul, and Matthew Roughan. "Maximum entropy traffic matrix synthesis." ACM SIGMETRICS Performance Evaluation Review 42, no. 2 (2014): 43–45. http://dx.doi.org/10.1145/2667522.2667536.

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Wang, Ying, and Zongzhong Tian. "Efficient Original-Destination Bandwidth: A Novel Model for Arterial Traffic Signal Coordination." Journal Européen des Systèmes Automatisés 53, no. 5 (2020): 609–16. http://dx.doi.org/10.18280/jesa.530503.

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This paper proposes an efficient origin-estimation bandwidth (OD band) model, which provides dedicated progression bands for arterial traffic based on the real-time dynamic matrix of their estimated OD pairs. The innovations of the OD band model are as follows: First, the dynamics of through and turning-in/out traffics are analyzed based on the matrix of their estimated OD pairs, and used to generate the traffic movement sequence at continuous intersections; Second, the end-time of green interval for lag-lag phase sequence at continuous intersections is determined according to the relevant con
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Chokshi, Rajvi. "Traffic Controlling System." International Journal for Research in Applied Science and Engineering Technology 9, no. 10 (2021): 1507–12. http://dx.doi.org/10.22214/ijraset.2021.38656.

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Abstract: In the present era, the population of people living in cities and the number of vehicles on the road is growing by the day. The necessity to govern lanes, thruways, and streets has become a significant concern as the urban population and, as a result, the number of vehicles has grown. Today's traffic framework places minimal emphasis on real-time traffic conditions, resulting in inefficient traffic management systems. Therefore, to overcome such limitations or drawbacks of the present system, the current research proposes a smart and efficient traffic management system that can analy
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Benameur, N., and J. W. Roberts. "Traffic Matrix Inference in IP Networks." Networks and Spatial Economics 4, no. 1 (2004): 103–14. http://dx.doi.org/10.1023/b:nets.0000015658.75205.ed.

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Zhou, Huibin, Dafang Zhang, Kun Xie, and Xiaoyang Wang. "Data reconstruction in internet traffic matrix." China Communications 11, no. 7 (2014): 1–12. http://dx.doi.org/10.1109/cc.2014.6895380.

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Rozprawy doktorskie na temat "Traffic matrix"

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Wang, Judith. "Wavelet-based traffic matrix modeling." Thesis, McGill University, 2011. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=96944.

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The traffic matrix is essential for many network management tasks because it provides the amount of traffic that flows between every origin-destination (OD) pair in a network. We focus on two traffic matrix problems: compression and estimation. Traffic matrices contain substantial amounts of data because they are collected at short timescales over long periods. We investigate techniques to compress traffic matrices using wavelet transforms, which allows us to isolate common underlying patterns present within traffic matrix datasets. In addition, it is expensive for network operators to measure
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Eum, Suyong, and suyong@ist osaka-u. ac jp. "Traffic Matrix Estimation in IP Networks." RMIT University. Electrical and Computer Engineering, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080215.155526.

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An Origin-Destination (OD) traffic matrix provides a major input to the design, planning and management of a telecommunications network. Since the Internet is being proposed as the principal delivery mechanism for telecommunications traffic at the present time, and this network is not owned or managed by a single entity, there are significant challenges for network planners and managers needing to determine equipment and topology configurations for the various sections of the Internet that are currently the responsibility of ISPs and traditional telcos. Planning of these sub-networks typically
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Marakov, Dimitri. "Contributions to the traffic matrix problem." Télécom Bretagne, 2007. http://www.theses.fr/2007TELB0058.

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This thesis addresses the traffic matrix estimation problem. Knowledge about the origin-destination (OD) traffic matrix (TM) allows us to solve problems in network engineering; the OD traffic matrix gives us a valuable information about who is communicating with whom in a network, at any given time. Traffic analysis, based on detailed packet or flow level measurements, usually not available throughout a large network due to hardware limitations or/and security reasons. An alternative approach is to use mathematical and statistical techniques for the estimation using the incomplete data accessi
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Ros, Roca Xavier. "Dynamic OD matrix estimation exploiting ICT traffic measurements." Doctoral thesis, Universitat Politècnica de Catalunya, 2021. http://hdl.handle.net/10803/672898.

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During the last decades, urban mobility has become the main concern for city councils and transportation operators. The main problem is the traffic congestion that easily appears in urban networks, producing negative economic impacts for the associated cost and, what is becoming more relevant from the sustainability point of view. In this context, the transportation operators and planners make use of traffic simulation models that assist their strategic decisions aiming at improving the mentioned problems. The dynamic OD matrices estimation problem is a crucial step in transportation m
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Gan, Liping. "Optimal traffic counting location for origin-destination matrix estimation /." View Abstract or Full-Text, 2002. http://library.ust.hk/cgi/db/thesis.pl?CIVL%202002%20GAN.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2002.<br>Includes bibliographical references (leaves 104-106). Also available in electronic version. Access restricted to campus users.
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Respati, Sara Wibawaning. "Network-scale arterial traffic state prediction: Fusing multisensor traffic data." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/202990/1/Sara%20Wibawaning_Respati_Thesis.pdf.

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Road traffic congestion is an increasing societal problem. Road agencies and users seeks accurate and reliable travel speed information. This thesis developed a network-scale traffic state prediction based on Convolutional Neural Network (CNN). The method can predict the speed over the network accurately by preserving road connectivity and incorporating historical datasets. When dealing with an extensive network, the thesis also developed a clustering method to reduce the complexity of the prediction. By accurately predict the traffic state over a network, traffic operators can manage the netw
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Timms, Paul Martin. "A Bayesian approach to origin-destination trip matrix estimation." Thesis, University of Leeds, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.257965.

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Kim, Seung-Jun. "Simultaneous calibration of a microscopic traffic simulation model and OD matrix." Texas A&M University, 2006. http://hdl.handle.net/1969.1/4409.

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With the recent widespread deployment of intelligent transportation systems (ITS) in North America there is an abundance of data on traffic systems and thus an opportunity to use these data in the calibration of microscopic traffic simulation models. Even though ITS data have been utilized to some extent in the calibration of microscopic traffic simulation models, efforts have focused on improving the quality of the calibration based on aggregate form of ITS data rather than disaggregate data. In addition, researchers have focused on identifying the parameters associated with car-following and
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Collins, Jeremy James. "Design of alphanumeric dot matrix displays for use in traffic management." Thesis, University of Southampton, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336147.

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Behara, Krishna Nikhil Sumanth. "Origin-destination matrix estimation using big traffic data: A structural perspective." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/132444/1/Krishna_Behara_Thesis.pdf.

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With ever increasing traffic demand, cities are facing more serious problems from traffic congestion. It is extremely important to have an accurate estimation of travel demand for strategic planning and control. Lack of such knowledge before implementing major transport infrastructure projects could result in huge economic losses. Thus, this research develops new methods using big traffic data and are thoroughly tested on the Brisbane network. These methods can be readily integrated into the existing state-of-the-art and practice for a better estimation of travel demand.
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Książki na temat "Traffic matrix"

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S, Polibio Santana. Guía evolutiva jurídico procedimental en el ejercicio de la materia de tránsito en la República Dominicana: Lamborghini Murcielago. Talleres de Impresos Jojansel, 2005.

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Medina, Miguel María Muñoz. La potestad sancionadora de la administración en materia de tráfico: Infracciones y sanciones. Boletín Oficial del Estado, 1993.

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Luis, Moisset de Espanés, ed. Responsabilidad civil en materia de accidentes de automotores. Rubinzal y Culzoni, 1985.

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Sanchez, Felipe Luis Melendez. Consideraciones criminologicas en materia de estupefacientes. Dykinson, 1989.

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Villalona, Germán Daniel Miranda. Jurisprudencia dominicana en materia de drogas. Ediciones Jurídicas Trajano Potentini, 2003.

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(Mexico), Distrito Federal. Código civil para el Distrito Federal en materia comun, y para toda la República en materia federal. 2nd ed. Editorial PAC, 1994.

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Republic, Dominican. Ley 241 y sus modificaciones: Materia: responsabilidad penal y civil. s.n.], 2000.

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B, Shanida N. López. Lesiones personales: Mediación y negociación como métodos alternativos de resolución de controversias : aplicados a los procesos penales en materia de tránsito. Editorial Cultural Portobelo, 2008.

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B, Shanida N. López. Lesiones personales: Mediación y negociación como métodos alternativos de resolución de controversias : aplicados a los procesos penales en materia de tránsito. Editorial Cultural Portobelo, 2008.

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(Mexico), Distrito Federal. Ley sobre justicia en materia de faltas de policía y buen gobierno y su reglamento ; Reglamento de tránsito en el D.F. ; Reglamento de la policía preventiva del D.F. ; Ley de la Caja de Previsión de la policía preventiva del Distrito Federal ; Reglamento de los trib. calificadores del D.F. ; Ley sobre estacionamientos y disposiciones conexas. Editorial Porrúa, 1986.

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Części książek na temat "Traffic matrix"

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Hong, Tang, Fan Tongliang, and Zhao Guogeng. "An Assignment Model on Traffic Matrix Estimation." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11881223_36.

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Tootoonchian, Amin, Monia Ghobadi, and Yashar Ganjali. "OpenTM: Traffic Matrix Estimator for OpenFlow Networks." In Passive and Active Measurement. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12334-4_21.

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Teixeira, Renata, Nick Duffield, Jennifer Rexford, and Matthew Roughan. "Traffic Matrix Reloaded: Impact of Routing Changes." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31966-5_20.

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Bianco, Lucio, Giuseppe Confessore, and Pierfrancesco Reverberi. "Traffic Sensor Location and Origin/Destination Matrix Estimation." In Operations Research Proceedings. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-58891-4_83.

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Ásmundsdóttir, Rúna, Yusen Chen, and Henk J. van Zuylen. "Dynamic Origin–Destination Matrix Estimation Using Probe Vehicle Data as A Priori Information." In Traffic Data Collection and its Standardization. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6070-2_7.

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Mikians, Jakub, Amogh Dhamdhere, Constantine Dovrolis, Pere Barlet-Ros, and Josep Solé-Pareta. "Towards a Statistical Characterization of the Interdomain Traffic Matrix." In NETWORKING 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30054-7_9.

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Shao, Weijuan, and Man Li. "Urban Railway Network Traffic Prediction with Spatiotemporal Correlations Matrix." In Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49370-0_35.

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Shang, Fengjun. "Research on the Traffic Matrix Based on Sampling Model." In Advanced Data Mining and Applications. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73871-8_50.

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Li, Weizheng, Yingpeng Sang, Maliang Zhang, Jinghao Huang, and Chaoxin Cai. "Traffic Matrix Prediction Based on Differential Privacy and LSTM." In Parallel and Distributed Computing, Applications and Technologies. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96772-7_56.

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Zhou, Jingjing, Jiahai Yang, Yang Yang, and Guanqun Zhang. "Traffic Matrix Estimation Using Square Root Filtering/Smoothing Algorithm." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88623-5_66.

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Streszczenia konferencji na temat "Traffic matrix"

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Kakkavas, Grigorios, Petros Maratos, Vasileios Karyotis, and Symeon Papavassiliou. "Traffic Matrix Estimation Using Invertible Neural Networks." In 2024 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE, 2024. http://dx.doi.org/10.23919/softcom62040.2024.10721829.

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Taguchi, Yuma, Yoshinao Ishii, Takeyuki Sasai, Shintaro Fukushima, and Katsushi Sanda. "Network-Wide Traffic Volume Estimation Using Joint Matrix Factorization with Traffic Flow Conservation Law." In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2024. https://doi.org/10.1109/itsc58415.2024.10919988.

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Nsaif, Mohammed, Gergely Kovásznai, Hasanein D. Rjeib, Ali Malik, and Ruairí de Fréin. "Evaluating RNN Models for Multi-Step Traffic Matrix Prediction." In 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS). IEEE, 2024. https://doi.org/10.1109/citds62610.2024.10791383.

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Zhou, Zhichong, Guhao Zhao, Zhifang Chen, Jiale Yang, and Lingzhong Meng. "Research on urban low-altitude UAV conflict detection method based on matrix Hadamard product calculation." In Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), edited by Xiantao Xiao and Jia Yao. SPIE, 2024. https://doi.org/10.1117/12.3054491.

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Medina, A., N. Taft, K. Salamatian, S. Bhattacharyya, and C. Diot. "Traffic matrix estimation." In the 2002 conference. ACM Press, 2002. http://dx.doi.org/10.1145/633025.633041.

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Tune, Paul, and Matthew Roughan. "Spatiotemporal Traffic Matrix Synthesis." In SIGCOMM '15: ACM SIGCOMM 2015 Conference. ACM, 2015. http://dx.doi.org/10.1145/2785956.2787471.

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Tan, Liansheng, and Xiangjun Wang. "On IP Traffic Matrix Estimation." In 2007 16th International Conference on Computer Communications and Networks. IEEE, 2007. http://dx.doi.org/10.1109/icccn.2007.4317886.

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Jia, Ru, Wei Su, and Hongke Zhang. "Traffic Matrix-Based Routing Optimization." In 2015 International Conference on Computer Science and Intelligent Communication. Atlantis Press, 2015. http://dx.doi.org/10.2991/csic-15.2015.104.

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Balon, Simon, and Guy Leduc. "Dividing the Traffic Matrix to Approach Optimal Traffic Engineering." In 2006 14th IEEE International Conference on Networks. IEEE, 2006. http://dx.doi.org/10.1109/icon.2006.302619.

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Zhou, Jing-Jing, and xu-dong Zhu. "Multi-scale traffic matrix estimation algorithm." In 2010 Second Pacific-Asia Conference on Circuits,Communications and System (PACCS). IEEE, 2010. http://dx.doi.org/10.1109/paccs.2010.5626989.

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Raporty organizacyjne na temat "Traffic matrix"

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Zhang, Yongping, Wen Cheng, and Xudong Jia. Enhancement of Multimodal Traffic Safety in High-Quality Transit Areas. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1920.

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Numerous extant studies are dedicated to enhancing the safety of active transportation modes, but very few studies are devoted to safety analysis surrounding transit stations, which serve as an important modal interface for pedestrians and bicyclists. This study bridges the gap by developing joint models based on the multivariate conditionally autoregressive (MCAR) priors with a distance-oriented neighboring weight matrix. For this purpose, transit-station-centered data in Los Angeles County were used for model development. Feature selection relying on both random forest and correlation analys
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Mohammadian, Abolfazl, Mohammad Miralinaghi, Alireza Talebpour, Sajad Askari, and Sanaz Kazemzadehazad. State Department of Transportation Support for Operationalizing Transit Signal Priority. Illinois Center for Transportation, 2025. https://doi.org/10.36501/0197-9191/25-005.

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Transit signal priority (TSP) systems have become an integral part of regional intelligent transportation systems integration. They modify signal operations to facilitate faster transit through intersections, improve transit service reliability, reduce delays, and enhance overall transit operational efficiency. Agencies are planning and implementing next-generation TSP systems. However, multifaceted challenges complicate TSP implementation, particularly in urban regions with high traffic density and multiple stakeholders. Exploring these challenges can help develop more efficient deployment st
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Lippert, David, Marshall Thompson, and Charles Wienrank. Performance of Interstate Rubblization in Illinois. Illinois Center for Transportation, 2021. http://dx.doi.org/10.36501/0197-9191/21-005.

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In Illinois, hot-mix asphalt overlaid concrete pavements typically exhibit reflective cracking of joints and cracks from the pavement below, resulting in shortened life and maintenance issues. Over the years, various patching, fabric, and crack and seat techniques were attempted with few positive results. This led to more aggressive techniques to eliminate the slab action of the concrete pavement where the pavement would be broken or rubblized into pieces typically less than 12 inches. Since the first rubblizing project in 1990, policy, procedures, and specifications have evolved to the point
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Baek, So-Ra, and Dohyung Kim. A Guide to Navigating Existing and Emerging Sources of Local VMT and Travel Data. Mineta Transporation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2232.

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As the crisis of climate change looms, transportation policy in California continues to emphasize sustainability in land-use and transportation decisions. This report evaluates the implementation of two sustainability-focused policies (Senate Bill 375 and 743) by local governments and the current-state-of-the-practices by metropolitan planning organizations (MPOs) in assisting them in California. The research focuses on local governments’ access and use of vehicle miles traveled (VMT) and transportation data for achieving VMT and greenhouse gas (GHG) reduction by land-use planning. The researc
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Tarasova, Anna, Deven Kanakamedala, Jungil Seo, Amit H. Varma, and Robert J. Connor. New Repair Strategies for Life-Cycle Extension of Corroded Steel Girder Bridges. Purdue University, 2025. https://doi.org/10.5703/1288284317748.

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Steel girder ends are susceptible to corrosion damage due to deicing salts, water, and other contaminants leaking from failed expansion joints. When corrosion becomes significant, it leads to a reduction in the sectional properties of steel girders and consequently reduces bearing and shear resistance. Conventional repair methods, although effective, require substantial time and resources to complete, causing public inconvenience from necessary traffic closures. Therefore, there is a need for practical, rapid, and robust repair methods suitable for implementation by local Department of Transpo
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Hsueh, Gary, David Czerwinski, Cristian Poliziani, et al. Using BEAM Software to Simulate the Introduction of On-Demand, Automated, and Electric Shuttles for Last Mile Connectivity in Santa Clara County. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1822.

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Despite growing interest in low-speed automated shuttles, pilot deployments have only just begun in a few places in the U.S., and there is a lack of studies that estimate the impacts of a widespread deployment of automated shuttles designed to supplement existing transit networks. This project estimated the potential impacts of automated shuttles based on a deployment scenario generated for a sample geographic area: Santa Clara County, California. The project identified sample deployment markets within Santa Clara County using a GIS screening exercise; tested the mode share changes of an autom
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