Relevant bibliographies by topics / Transportation Deployment

Contents

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

Academic literature on the topic 'Transportation Deployment'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Transportation Deployment"

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Satoh, Keiichi, and Lawrence W. Lan. "Development and Deployment of Sustainable Transportation." International Journal of Sustainable Transportation 1, no. 2 (2007): 69–71. http://dx.doi.org/10.1080/15568310601091957.

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Golob, Jacqueline M., Cheryl C. Stecher, and Cathy Felkins. "California Statewide Intelligent Transportation Systems Plan Evaluation: Case Study of Conformity with National Intelligent Transportation Systems Architecture." Transportation Research Record: Journal of the Transportation Research Board 1826, no. 1 (2003): 1–6. http://dx.doi.org/10.3141/1826-01.

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A statewide evaluation was conducted of Intelligent Transportation Systems (ITS) Strategic Deployment Plans in California. It found that all 12 plans covering the state will conform by April 8, 2005, with Federal Highway Administration and Federal Transit Administration ITS Architecture and Standards: Final Rule. Developing the plans greatly raised the knowledge and awareness of the potential benefits of integrated technology systems. Multiple layers of architecture have been identified, particularly in Southern California, where developments are most advanced. Experience with deployment of an
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Wyciślak, Sławomir. "Exploring real-time visibility transportation platform deployment." Logforum 18, no. 1 (2022): 109–21. http://dx.doi.org/10.17270/j.log.2022.660.

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Seymour, Edward J., and Raman K. Patel. "Evolving Interoperability with National Transportation Communication for Intelligent Transportation Systems Protocols." Transportation Research Record: Journal of the Transportation Research Board 1651, no. 1 (1998): 117–23. http://dx.doi.org/10.3141/1651-17.

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One of the most exciting developments in the intelligent transportation systems (ITS) industry—one that holds so much promise for the future—is the National Transportation Communications for ITS Protocols (NTCIP). NTCIP will help lead the way to achieve a cost-effective deployment and management of ITS applications. It will also influence the design and manufacturing process and should cause changes in the way system integrators do their work. The resulting interoperability of core functionality between transportation devices will be an enabling service for ITS deployment. Developmental effort
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Hadi, Mohammed A., Diane Quigley, Prasoon Sinha, and Liang Hsia. "Benefit and Cost Parameters of Intelligent Transportation Systems." Transportation Research Record: Journal of the Transportation Research Board 1910, no. 1 (2005): 57–63. http://dx.doi.org/10.1177/0361198105191000107.

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The Intelligent Transportation Systems (ITS) Deployment Analysis System (IDAS) is a sketch planning analysis tool that can be used to estimate the impacts and costs resulting from the deployment of ITS components. The program includes default values for the parameters required to calculate ITS deployment costs and benefits. IDAS allows users to override the default values of ITS device cost and benefit parameters, including unit cost estimates, cost assumptions, benefit module parameters, ITS impacts, and impact dollar values. On one hand, the use of cost and benefit parameter values that bett
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Cheung, Raymond K., Chung-Lun Li, and Wuqin Lin. "Interblock Crane Deployment in Container Terminals." Transportation Science 36, no. 1 (2002): 79–93. http://dx.doi.org/10.1287/trsc.36.1.79.568.

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Du, Gang, Chuanwang Sun, and Jinxian Weng. "Liner Shipping Fleet Deployment with Sustainable Collaborative Transportation." Sustainability 8, no. 2 (2016): 165. http://dx.doi.org/10.3390/su8020165.

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Chang, Jeffrey C., Daniel J. Findley, Christopher M. Cunningham, and Mary K. Tsai. "Considerations for Effective Lidar Deployment by Transportation Agencies." Transportation Research Record: Journal of the Transportation Research Board 2440, no. 1 (2014): 1–8. http://dx.doi.org/10.3141/2440-01.

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Wu, Lingxiao, and Shuaian Wang. "The shore power deployment problem for maritime transportation." Transportation Research Part E: Logistics and Transportation Review 135 (March 2020): 101883. http://dx.doi.org/10.1016/j.tre.2020.101883.

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Bin MD Saad, Noor Azam. "Deployment of Lean Six Sigma in Transportation Sector." International Journal of Empirical Research Methods 1, no. 2 (2023): 74–80. http://dx.doi.org/10.59762/ijerm205275791220231205140246.

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Lean Six Sigma has been used successfully in industry, healthcare, and banking, among other fields, to deal with these problems. By using Lean Six Sigma, costs have been cut by a lot, quality has improved, and effecti eness has gone up. But there isn’t much study on how Lean Six Sigma could be used in the transportation industry. Because the transportation industry is so intricate and ever- changing, it must have procedures that are both efficien and effecti e in order to guarantee that both people and goods will be transported in a secure manner and on time. Over the past few years, companies
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Dissertations / Theses on the topic "Transportation Deployment"

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Lin, Sandi Shih 1981. "An institutional deployment framework for intelligent transportation systems." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/8036.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2003.<br>Includes bibliographical references (p. 163-177).<br>Increasing traffic congestion around the world is limiting urban mobility and contributing to unsustainable environmental, economic, and social conditions. The concept of intelligent transportation systems (ITS), which is defined as the application of computing and electronics technologies to transportation, offers potential for alleviating the negative effects of traffic congestion. These negative effects include impacts on road effi
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Palmer, Sally J. "Planner Technical Skills, Intelligent Transportation Systems Inclusion, and Deployment| A Correlational Study." Thesis, University of Phoenix, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10265378.

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<p> The research explored a barrier to intelligent transportation systems (ITS) deployment. The purpose of the research involved understanding whether practitioner technical skills correlated to the frequency by which planners&rsquo; incorporated ITS within planning studies and whether projects resulting from studies managed or performed by technically-skilled practitioners more frequently reached deployment status. The predictor variables in the research included planner composite technical skills (composite ITS skill [PV] and composite IS/T skill [PV]) and planner inclusion of ITS in transpo
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Theres, Michael J. "Models for comparing air-only and sea/air transportation of wartime deployment cargo." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1998. http://handle.dtic.mil/100.2/ADA358943.

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Thesis (M.S. in Operations Research) Naval Postgraduate School, December 1998.<br>"December 1998." Thesis advisor(s): R. Kevin Wood. Includes bibliographical references (p. 55-56). Also available online.
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Rupkalvis, James A. "The Operation Joint Endeavor deployment : transportation lessons learned and impact on subsequent operations." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA390857.

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Dodder, Rebecca Susanne. "Air quality and Intelligent Transportation Systems : understanding Integrated Innovation, Deployment and Adaptation of Public Technologies." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/37969.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Engineering Systems Division, 2006.<br>Includes bibliographical references (p. 454-472).<br>During the past two decades, Intelligent Transportation Systems (ITS) have provided transportation organizations with increasingly advanced tools both to operate and manage systems in real-time. At the same time, federal legislation has been tightening the linkages between state and local transportation investments and metropolitan air quality goals. In this context, ITS seems to represent a case of the potential synergies - or so-called "win-win"
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Fartash, Homa. "Development of System-Based Methodology to Support Ramp Metering Deployment Decisions." FIU Digital Commons, 2017. https://digitalcommons.fiu.edu/etd/3648.

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Ramp metering is an effective management strategy, which helps to keep traffic density below the critical value, preventing breakdowns and thus maintaining the full capacity of the freeway. Warrants for ramp metering installation have been developed by a number of states around the nation. These warrants are generally simple and are based on the traffic, geometry, and safety conditions in the immediate vicinity of each ramp (local conditions). However, advanced applications of ramp metering utilize system-based metering algorithms that involve metering a number of on-ramps to address system bo
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Diekmann, Joshua James. "A Modeling Approach for Evaluating Network Impacts of Operational-Level Transportation Projects." Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/33128.

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This thesis presents the use of microscopic traffic simulation models to evaluate the effects of operational-level transportation projects such as ITS. A detailed framework outlining the construction and calibration of microscopic simulation models is provided, as well as the considerations that must be made when analyzing the outputs from these models. Two case studies are used to reinforce the concepts presented. In addition, these case studies give valuable insight for using the outlined approach under real-world conditions. The study indicates a promising future for the use of microsi
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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 a
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Birenbaum, Ingrid Leuchtenmueller. "Deployment and strategies for application of intelligent transportation system elements for contra flow hurricane evacuation and emergency response." [Tampa, Fla.] : University of South Florida, 2003. http://purl.fcla.edu/fcla/etd/SFE0000611.

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Hodota, Kenichi. "R&D and deployment valuation of intelligent transportation systems : a case example of the intersection collision avoidance systems." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35087.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2006.<br>Includes bibliographical references (p. 147-154).<br>Compared with investments in the conventional infrastructure, those in Intelligent Transportation Technology (ITS) include various uncertainties. Because deployment of ITS requires close public-private partnership, projects concerning the R&D and deployment of ITS technology involve project risks and market risks induced by both the public and private sector. This characteristic makes it difficult to evaluate the value of the project
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Books on the topic "Transportation Deployment"

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United States. Department of Homeland Security. Office of Inspector General. The Transportation Security Administration's National Deployment Force. U.S. Dept. of Homeland Security, Office of Inspector General, 2008.

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Saskatchewan. Saskatchewan Highways and Transportation., ed. Intelligent transportation system: Deployment strategy for Saskatchewan. Saskatchewan Dept. of Highways and Transportation, 2001.

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1967-, Levinson David M., ed. The transportation experience: Policy, planning, and deployment. Oxford University Press, 2006.

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Casey, Robert F. Advanced public transportation systems deployment in the United States. U.S. Dept. of Transportation, Federal Transit Administration, Office of Mobility Innovation, 1996.

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United States. Federal Transit Administration. Office of Mobility Innovation and John A. Volpe National Transportation Systems Center (U.S.). Office of Operations Engineering and Assessment, eds. Benefits assessment of advanced public transportation systems deployment (APTS). U.S. Dept. of Transportation, 1996.

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Iowa. Dept. of Transportation., TranSystems Corporation, RCC Consultants, and Snyder & Associates., eds. Intelligent transportation systems deployment plan: Large urban transit systems. Iowa Department of Transportation, 2007.

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United States. Department of Homeland Security. Office of Inspector General. Transportation Security Administration's deployment and uses of advanced imaging technology. Department of Homeland Security, Office of Inspector General, 2013.

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United States. Federal Highway Administration., ed. ITS deployment guidance for transit systems: Prepared for U.S. Department of Transportation. U.S. Dept. of Transportation, Federal Highway Administration, 1997.

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Casey, Robert F. Advanced public transportation systems deployment in the United States: Year 2000 update. U.S. Dept. of Transportation, Federal Transit Administration, Federal Highway Administration, 2002.

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Theres, Michael J. Models for comparing air-only and sea/air transportation of wartime deployment cargo. Naval Postgraduate School, 1998.

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Book chapters on the topic "Transportation Deployment"

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Griebel, Hannes. "Transportation and Deployment System." In Reaching High Altitudes on Mars with an Inflatable Hypersonic Drag Balloon (Ballute). Vieweg+Teubner, 2011. http://dx.doi.org/10.1007/978-3-8348-9911-8_8.

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Fischer, Hans-Joachim. "Cooperative ITS: The SDO Perspective for Early Deployment." In Intelligent Transportation Systems. CRC Press, 2016. http://dx.doi.org/10.1201/9781315370866-8.

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Pečeliūnas, Robertas, and Tomas Pasaulis. "Research of Vehicle Airbag Non-deployment Cases." In TRANSBALTICA XII: Transportation Science and Technology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94774-3_15.

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Maza, I., K. Kondak, M. Bernard, and A. Ollero. "Multi-UAV Cooperation and Control for Load Transportation and Deployment." In Selected papers from the 2nd International Symposium on UAVs, Reno, Nevada, U.S.A. June 8–10, 2009. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-8764-5_22.

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Neittaanmäki, Pekka, and Tuukka Puranen. "Scalable Deployment of Efficient Transportation Optimization for SMEs and Public Sector." In Computational Methods in Applied Sciences. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11541-2_31.

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Villaverde, Ivan, Zelmar Echegoyen, Ramón Moreno, and Manuel Graña. "Experiments on Robotic Multi-agent System for Hose Deployment and Transportation." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12433-4_67.

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Prieto, Iñaki, Jose Luis Izkara, Sara Diez, and Mauri Benedito. "Novel Approach for Designing the Deployment of Urban Wifi Based on an Urban 3D Model and a Web Tool." In Sustainable Issues in Transportation Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34187-9_3.

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German, John. "Lead Time, Customers, and Technology: Technology Opportunities and Limits on the Rate of Deployment." In Reducing Climate Impacts in the Transportation Sector. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6979-6_5.

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Kondak, Konstantin, Aníbal Ollero, Ivan Maza, et al. "Unmanned Aerial Systems Physically Interacting with the Environment: Load Transportation, Deployment, and Aerial Manipulation." In Handbook of Unmanned Aerial Vehicles. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-90-481-9707-1_77.

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Nemoto, Eliane Horschutz, Ines Jaroudi, Dorien Duffner-Korbee, et al. "Sustainability Assessment of the Integration of Automated Minibuses in Urban Mobility Systems: Learnings from the AVENUE Project." In Contributions to Management Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-61681-5_17.

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AbstractThe AVENUE sustainability assessment integrates the environmental, economic and social assessment of the pilot trials of AVENUE. A step further, it adopts an interdisciplinary approach to conduct the analysis and to better understand the complexity of deploying a new form of mobility in urban areas and as part of the transportation system. The goal is to implement new mobility solutions that benefit the city and complement public transport. The findings from the social, environmental and economic impact assessments are embedded in a multidimensional set of indicators for the sustainabi
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Conference papers on the topic "Transportation Deployment"

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Polley, Nikolai, Svetlana Pavlitska, Yacin Boualili, et al. "TLD-READY: Traffic Light Detection ‐ Relevance Estimation and Deployment Analysis." In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2024. https://doi.org/10.1109/itsc58415.2024.10919699.

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Zhang, Yuhang, Zhiyao Zhang, Marcos Quiñones-Grueiro, et al. "Field Deployment of Multi-Agent Reinforcement Learning Based Variable Speed Limit Controllers." In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2024. https://doi.org/10.1109/itsc58415.2024.10919506.

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KAVVASOGLU, Cemre, Duygu KAYAOGLU, Ergun CAN, Ali Ufuk PEKER, and Kerem PAR. "Towards Seamless Autonomous Public Transportation: Deployment of Level-4 Autonomous Buses in Mixed-Traffic Environments." In 2025 IEEE 3rd International Conference on Mobility, Operations, Services and Technologies (MOST). IEEE, 2025. https://doi.org/10.1109/most65065.2025.00031.

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Rocha, David, Bruno Silva, Emanuel Vieira, João Almeida, Paulo Bartolomeu, and Joaquim Ferreira. "Unlocking the Potential of C-ITS Data for the Deployment of Traffic Management Systems." In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2024. https://doi.org/10.1109/itsc58415.2024.10919959.

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Ahmad, Fareed, Pawan C. Tapre, Farhad Ilahi Bakhsh, et al. "Techno-Economic Approach for the Optimal Deployment of Plug-in Electric Vehicle Charging Stations." In 2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation (SEFET). IEEE, 2024. http://dx.doi.org/10.1109/sefet61574.2024.10717896.

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Suarez, Alejandro, Alvaro Caballero, and Anibal Ollero. "Aerial Transportation, Deployment and Retrieval of Dexterous Dual Arm Rolling Robot for Power Line Maintenance: Field Validation." In 2025 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2025. https://doi.org/10.1109/icuas65942.2025.11007930.

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Zeng, Yimin, Kaiyang Li, Jingli Luo, and Muhammad Arafin. "Impacts of Impurities on Corrosion of Supercritical CO2 Transportation Pipeline Steels." In CORROSION 2018. NACE International, 2018. https://doi.org/10.5006/c2018-11481.

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Abstract Carbon dioxide (CO2) is the primary notorious greenhouse gas which is being increasingly emitted to our ecosystem as a result of various human activities. Carbon capture and storage (CCS) is the most promising technology available today for utilizing fossil fuels as reliable energy resources while significantly reducing CO2 emissions and protecting the climate. Pipeline transportation is recognized as the most cost-effective and relatively safe solution in the context of CCS, as it can transport large amounts of CO2 under predetermined and controlled conditions. Depending on CO2 sourc
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Borcherts, R., H. Oshizawa, and T. Fujii. "NAVMATE: An ITS Deployment Example." In Future Transportation Technology Conference & Exposition. SAE International, 1995. http://dx.doi.org/10.4271/951957.

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Furqon, Chairul, Mokh Adib Sultan, and Solehatin Ika Putri. "Quality Function Deployment Analysis on Transportation Services." In Proceedings of the 1st International Conference on Economics, Business, Entrepreneurship, and Finance (ICEBEF 2018). Atlantis Press, 2019. http://dx.doi.org/10.2991/icebef-18.2019.23.

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"Intelligent transportation-energy systems for future large scale deployment of electrified transportation." In 2017 IEEE First Summer School on Smart Cities (S3C). IEEE, 2017. http://dx.doi.org/10.1109/s3c.2017.8501393.

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Reports on the topic "Transportation Deployment"

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Mitra, Sayan. Continuous Integration and Deployment Infrastructure for Rapid Testing of Autonomous Transportation Systems. Illinois Center for Transportation, 2024. http://dx.doi.org/10.36501/0197-9191/24-017.

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This project has led to the creation of an automated-testing infrastructure for autonomy code. The framework uses Jenkins, AWS Lambda, Docker, Kubernetes, and other open-source technologies. It was utilized and evaluated both for the Generalized Racing Intelligence Competition (GRAIC) and for evaluating student programming assignments for the principles of safe autonomy course (ECE484). This infrastructure has improved our capability to evaluate (autograde) student design assignments, and students can also receive precise feedback on their work as they progress through various design challenge
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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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Wankerl, M. W., and S. P. Schmid. Transportation system benefits of early deployment of a 75-ton multipurpose canister system. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/195627.

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Monsere, Christopher. Development, Deployment, and Assessment of a New Educational Paradigm for Transportation Professionals and University Students. Portland State University Library, 2013. http://dx.doi.org/10.15760/trec.80.

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Plotkin, Steve, Thomas Stephens, and Walter McManus. Transportation Energy Futures Series. Vehicle Technology Deployment Pathways. An Examination of Timing and Investment Constraints. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1219926.

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Plotkin, Steve, Thomas Stephens, and Walter McManus. Transportation Energy Futures Series: Vehicle Technology Deployment Pathways: An Examination of Timing and Investment Constraints. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1069179.

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Cotrell, J., T. Stehly, J. Johnson, et al. Analysis of Transportation and Logistics Challenges Affecting the Deployment of Larger Wind Turbines: Summary of Results. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1123207.

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El-Rayes, Khaled, Yanfeng Ouyang, Ernest-John Ignacio, Omar Almasry, and Jesus Osorio. Development of Design Guidance for Smart Work Zone Systems. Illinois Center for Transportation, 2023. http://dx.doi.org/10.36501/0197-9191/24-001.

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Smart work zone (SWZ) systems are designed to provide real-time roadway information to better inform motorists, encourage them to take alternate routes, reduce their frustrations, reduce roadway congestion, and enhance safety for motorists and workers. These SWZ systems have been recommended by multiple federal agencies as part of the Intelligent Transportation Systems program with the overall goal to improve transportation safety, mobility, and efficiency. Despite these reported benefits, there is little guidance on standardizing the need for and deployment of SWZ systems to maximize safety a
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Coyner, Kelley, and Jason Bittner. Infrastructure Enablers and Automated Vehicles: Trucking. SAE International, 2022. http://dx.doi.org/10.4271/epr2022017.

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While automated trucking developers have established regular commercial shipments, operations and testing remain limited largely to limited-access highways like interstates. This infrastructure provides a platform or operating environment that is highly structured, with generally good road conditions and visible lane markings. To date, these deployments have not included routine movements from hub to hub, whether on or off these limited-access facilities. Benefits such as safety, fuel efficiency, staffing for long-haul trips, and a strengthened supply chain turn enable broader deployment which
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Gowda, Manish, Walt Fehr, Andrew Balmos, et al. Economical Acquisition of Intersection Data to Facilitate CAV Operations Phase II – Implementation. Purdue University, 2024. https://doi.org/10.5703/1288284317851.

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Cost-effective collection and distribution of intersection data are needed to facilitate traffic operations at intersections in the HDV era and particularly, in the prospective era of CAVs. Existing methods are time consuming and costly. Phase I of this research (executed under CCAT Project Nr. 71) developed a cost-effective intersection data collection and distribution device for this purpose. In Phase II of this research, the device prototype was bench tested in Lansing and field tested at Owosso. It was confirmed that the device successfully facilitates SPaT and MAP data collection and diss
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