Relevant bibliographies by topics / Transportation engineering – Namibia – Data processing

Contents

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

Academic literature on the topic 'Transportation engineering – Namibia – Data processing'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Transportation engineering – Namibia – Data processing"

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Howell, Tommie F. "Automation for Transportation—More Than Data Processing." Journal of Transportation Engineering 116, no. 6 (1990): 831–35. http://dx.doi.org/10.1061/(asce)0733-947x(1990)116:6(831).

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Tarko, Andrzej P., and Nagui M. Rouphail. "Intelligent Traffic Data Processing for ITS Applications." Journal of Transportation Engineering 123, no. 4 (1997): 298–307. http://dx.doi.org/10.1061/(asce)0733-947x(1997)123:4(298).

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Robinson, Steve, Baskaran Narayanan, Nelson Toh, and Francisco Pereira. "Methods for pre-processing smartcard data to improve data quality." Transportation Research Part C: Emerging Technologies 49 (December 2014): 43–58. http://dx.doi.org/10.1016/j.trc.2014.10.006.

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Roberts, Nathan, and Jerry Cap. "Automated Sorting of Mixed Mode Environment's Data." Journal of the IEST 49, no. 2 (2006): 84–92. http://dx.doi.org/10.17764/jiet.49.2.hp21k142573u0011.

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Transportation of sensitive flight hardware requires information about the expected transportation environment as well as the actual transportation environment during the part's movement—typically vibration with superimposed intermittent shocks. Each data type has different sampling, processing, and specification requirements. Analyzing shock data requires high sampling rates and leads to large file sizes. A barrier to analyzing data has been the vast quantity of information acquired. Previous approaches have focused either on manually separating data or on selectively recording extreme data. The use of an automated approach allows for quickly verifying vibration and shock levels while retaining the robustness of the underlying data set. Further, the automated approach allows the environments engineer to select criteria for shock/vibration sorting, which removes the subjectivity associated with visual differentiation. This automated technique evaluated several vehicles over four different road conditions in the same time that one data set could have been processed using visual discrimination. Automated processing of satellite shipment vibration and shock data is made thoroughly and objectively vs. traditional shock and tilt indicators. The automated technique could also be useful in processing large amounts of on-orbit data for changes in vibration signature.
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Hao, Qian, and Lele Qin. "The Design of Intelligent Transportation Video Processing System in Big Data Environment." IEEE Access 8 (2020): 13769–80. http://dx.doi.org/10.1109/access.2020.2964314.

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Niture, Deeplaxmi V., Vivekanand Dhakane, Piyush Jawalkar, and Ankit Bamnote. "Smart Transportation System using IOT." International Journal of Engineering and Advanced Technology 10, no. 5 (2021): 434–38. http://dx.doi.org/10.35940/ijeat.e2870.0610521.

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In this paper a Smart Vehicle Assistance and Monitoring system (SVAMS) is presented. SVAMS is an intelligent transportation system (ITS), developed to tackle various traffic related issues. It is a traffic management, monitoring and optimization solution in which all the vehicles are interconnected through Zigbee and are monitored and assisted centrally, by a data center. The system has two parts; one part is mounted in/on the vehicle and the other part is at the data centre. Part one collects data from various sensors and transmits it to central data centre. All the data will be stored on cloud for further analysis, processing and future use. SVAMS is relatively low-cost, compact and has various functionalities such as emergency response, pollution level monitoring, automatic toll collection, traffic rule violation detection, vehicle tracking, etc. The use of SVAMS will help to build up Clean, Corruption free and Crime free (C-3) cities.
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Sun, Yuan, Hao Xu, Jianqing Wu, Jianying Zheng, and Kurt M. Dietrich. "3-D Data Processing to Extract Vehicle Trajectories from Roadside LiDAR Data." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 45 (2018): 14–22. http://dx.doi.org/10.1177/0361198118775839.

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High-resolution vehicle data including location, speed, and direction is significant for new transportation systems, such as connected-vehicle applications, micro-level traffic performance evaluation, and adaptive traffic control. This research developed a data processing procedure for detection and tracking of multi-lane multi-vehicle trajectories with a roadside light detection and ranging (LiDAR) sensor. Different from existing methods for vehicle onboard sensing systems, this procedure was developed specifically to extract high-resolution vehicle trajectories from roadside LiDAR sensors. This procedure includes preprocessing of the raw data, statistical outlier removal, a Least Median of Squares based ground estimation method to accurately remove the ground points, vehicle data clouds clustering, a principle component-based oriented bounding box method to estimate the location of the vehicle, and a geometrically-based tracking algorithm. The developed procedure has been applied to a two-way-stop-sign intersection and an arterial road in Reno, Nevada. The data extraction procedure has been validated by comparing tracking results and speeds logged from a testing vehicle through the on-board diagnostics interface. This data processing procedure could be applied to extract high-resolution trajectories of connected and unconnected vehicles for connected-vehicle applications, and the data will be valuable to practices in traffic safety, traffic mobility, and fuel efficiency estimation.
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Narasimhamurthy, S. B., P. C. Gurumohan, S. Sreenivasamurthy, and J. Y. Hui. "Quanta data storage: an information processing and transportation architecture for storage area networks." IEEE Journal on Selected Areas in Communications 23, no. 10 (2005): 2032–40. http://dx.doi.org/10.1109/jsac.2005.854128.

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Bassani, Marco, and Lorenzo Mussone. "Experimental analysis of operational data for roundabouts through advanced image processing." Journal of Traffic and Transportation Engineering (English Edition) 7, no. 4 (2020): 482–97. http://dx.doi.org/10.1016/j.jtte.2019.01.005.

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Mallikarjuna, C., A. Phanindra, and K. Ramachandra Rao. "Traffic Data Collection under Mixed Traffic Conditions Using Video Image Processing." Journal of Transportation Engineering 135, no. 4 (2009): 174–82. http://dx.doi.org/10.1061/(asce)0733-947x(2009)135:4(174).

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Dissertations / Theses on the topic "Transportation engineering – Namibia – Data processing"

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Wolf, Jean Louise. "Using GPS data loggers to replace travel diaries in the collection of travel data." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/20203.

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Wodrich, Karsten H. K. "A design programme for dilute phase pneumatic conveyors." Thesis, Link to the online version, 1997. http://hdl.handle.net/10019/1420.

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Glick, Travis Bradley. "Utilizing High-Resolution Archived Transit Data to Study Before-and-After Travel-Speed and Travel-Time Conditions." PDXScholar, 2017. https://pdxscholar.library.pdx.edu/open_access_etds/4065.

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Travel times, operating speeds, and service reliability influence costs and service attractiveness. This paper outlines an approach to quantify how these metrics change after a modification of roadway design or transit routes using archived transit data. The Tri-County Metropolitan Transportation District of Oregon (TriMet), Portland's public transportation provider, archives automatic vehicle location (AVL) data for all buses as part of their bus dispatch system (BDS). This research combines three types of AVL data (stop event, stop disturbance, and high-resolution) to create a detailed account of transit behavior; this probe data gives insights into the behavior of transit as well as general traffic. The methodology also includes an updated approach for confidence intervals estimates that more accurately represent of range of speed and travel time percentile estimates. This methodology is applied to three test cases using a month of AVL data collected before and after the implementation of each roadway change. The results of the test cases highlight the broad applicability for this approach to before-and-after studies.
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Gentek, Anna. "Activity Recognition Using Supervised Machine Learning and GPS Sensors." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-295600.

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Human Activity Recognition has become a popular research topic among data scientists. Over the years, multiple studies regarding humans and their daily motion habits have been investigated for many different purposes. This fact is not surprising when we look at all the opportunities and applications that can be applied and utilized thanks to the results of these algorithms. In this project we implement a system that can effectively collect sensor data from mobile devices, process it and by using supervised machine learning successfully predict the class of a performed activity. The project was executed based on datasets and features extracted from GPS sensors. The system was trained using various machine learning algorithms and Python SciKit to guarantee optimal solutions with accurate predictions. Finally, we applied a majority vote rule to secure the best possible accuracy of the activity classification process. As a result we were able to identify various activities including walking, cycling, driving and public transportation methods bus and metro with 90+% accuracy.<br>Att utföra aktivitetsigenkänning på människor har blivit ett populärt forskningsämne bland datavetare, där flertalet studier rörande människor och deras dagliga rörelsevanor undersökts för många olika syften. Detta är inte förvånande när man ser till de möjligheter och användningsområden som kan tillämpas och utnyttjas tack vare resultaten från dessa system. Detta projekt går ut på att implementera ett system som mha samlad sensordata från mobila enheter, kan bearbeta den och genom s.k övervakad maskininlärning med goda resultat bestämma den aktivitet som utförts. Projektet genomfördes baserat på dataset och egenskaper extraherade från GPS-data. Systemet tränades med olika maskininlärningsalgoritmer genom Python SciKit för att välja den bäst lämpade metoden för detta projekt. Slutligen tillämpade vi majority votemetoden för att säkerställa bästa möjliga noggrannhet i aktivitetsklassificeringsprocessen. Resultatet blev ett system som framgångsrikt kan identifiera aktiviteterna gå, cykla, köra bil samt med ett ytterligare fokus på kollektivtrafikmetoderna buss och tunnelbana, med en noggrannhet på över 90%.<br>Kandidatexjobb i elektroteknik 2020, KTH, Stockholm
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Kumar, Saurabh. "Real-Time Road Traffic Events Detection and Geo-Parsing." Thesis, Purdue University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10842958.

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<p> In the 21<sup>st</sup> century, there is an increasing number of vehicles on the road as well as a limited road infrastructure. These aspects culminate in daily challenges for the average commuter due to congestion and slow moving traffic. In the United States alone, it costs an average US driver $1200 every year in the form of fuel and time. Some positive steps, including (a) introduction of the push notification system and (b) deploying more law enforcement troops, have been taken for better traffic management. However, these methods have limitations and require extensive planning. Another method to deal with traffic problems is to track the congested area in a city using social media. Next, law enforcement resources can be re-routed to these areas on a real-time basis. </p><p> Given the ever-increasing number of smartphone devices, social media can be used as a source of information to track the traffic-related incidents. </p><p> Social media sites allow users to share their opinions and information. Platforms like Twitter, Facebook, and Instagram are very popular among users. These platforms enable users to share whatever they want in the form of text and images. Facebook users generate millions of posts in a minute. On these platforms, abundant data, including news, trends, events, opinions, product reviews, etc. are generated on a daily basis. </p><p> Worldwide, organizations are using social media for marketing purposes. This data can also be used to analyze the traffic-related events like congestion, construction work, slow-moving traffic etc. Thus the motivation behind this research is to use social media posts to extract information relevant to traffic, with effective and proactive traffic administration as the primary focus. I propose an intuitive two-step process to utilize Twitter users' posts to obtain for retrieving traffic-related information on a real-time basis. It uses a text classifier to filter out the data that contains only traffic information. This is followed by a Part-Of-Speech (POS) tagger to find the geolocation information. A prototype of the proposed system is implemented using distributed microservices architecture.</p><p>
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Ni, Daiheng. "Extension and generalization of Newell's simplified theory of kinematic waves." Diss., Available online, Georgia Institute of Technology, 2004:, 2004. http://etd.gatech.edu/theses/available/etd-11112004-112805/unrestricted/ni%5Fdaiheng%5F200412%5Fphd.pdf.

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Thesis (Ph. D.)--Civil and Environmental Engineering, Georgia Institute of Technology, 2005.<br>Leonard, John D., Committee Chair ; Goldsman, Dave, Committee Member ; Amekudzi, Adjo, Committee Member ; Hunter, Michael, Committee Member ; Dixon, Karen, Committee Member. Vita. Includes bibliographical references.
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Fransman, Logan. "A multi-agent based system to promote collaboration among Namibian transport stakeholders in order to reduce empty runs." Diss., 2014. http://hdl.handle.net/10500/18780.

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The main aim of transport stakeholders has always been to transport freight efficiently, as this efficiency contributes to the growth and success of their business. A country like Namibia is no different as the efficiency of transport lies in the effective utilisation of carrier capacity in any direction. Due to the various types of freight, transport operators rarely have the capacity to cover all freight movement requests. This research put the empty runs experienced by most of the Namibian transporters at 33%. Empty runs could however be reduced through collaboration and sharing of capacity among transport stakeholders. Multi-agent systems (MAS) are various individual computer agents that are configured independently to interact with other agents to achieve one goal. These systems have been explored as an approach to achieve collaboration among transporter stakeholders. Taking into consideration the characteristics and requirements of MAS, this research was able to conduct a feasibility of its implementation within Namibia. Concluding with an evaluation of available Multi-agent based systems that could achieve collaboration and reduce empty runs in the Namibian transport environment.<br>Information Science<br>M.Tech. (Information Technology)
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"Modelling and accessing trajectory data of moving vehicles in a road network." 2004. http://library.cuhk.edu.hk/record=b6073731.

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Li Xiang.<br>"September 2004."<br>Thesis (Ph.D.)--Chinese University of Hong Kong, 2004.<br>Includes bibliographical references (p. 164-172)<br>Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.<br>Electronic reproduction. Ann Arbor, MI : ProQuest Information and Learning Company, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web.<br>Mode of access: World Wide Web.<br>Abstracts in English and Chinese.
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Sikiotis, Lucas. "Adjustment of default parameters in the Quick Response System package (QRS II) for developing communities in ORMET." Thesis, 2014. http://hdl.handle.net/10210/10721.

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M.Ing. (Transportation)<br>This reseach focused on a quick response transportation planning software package called QRS II which was developed by A J Horowitz at the Centre for Urban Transportation Studies, University of Wisconsin, United states of America. The programme achieves its quick response by incorporating, inter alia, a large number of default parameters within its formulation. Several of these parameters define the typical travel characteristics of the population within a study area and as such, suggest a particular socioeconomic, political, cultural and behavioral profile as existing in that area. These typical conditions may be representative of the behavior in many areas in the United States but may not adequately reflect conditions beyond that. This study has set out to determine whether the default parameters used in QRS II are different to those that would be appropriate in Black towns in areas such as the East Rand Metropolitan Transport Area (ORMET) in South Africa. Local parameter values were identified and compared with the default values in QRS II. It was found that these values were significantly different. More research is required before QRS II can be considered fully adapted to conditions in Black urban areas within a Metropolitan area such as ORMET. However, the new values suggested in this study will go a long way to improving the appropriateness of QRS II applications in South Africa.
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"Sensor network for traffic surveillance." Thesis, 2007. http://library.cuhk.edu.hk/record=b6074485.

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As an example, the thesis proposes a real-time route guidance system to show how it supports other transportation services, which can then automatically guide vehicles by voice. It illustrates the system architecture and describes the establishment of each part. The concept of agent network is introduced to build up the system. Furthermore, a dynamic route algorithm is presented in brief. A communication system integrating the existing infrastructure is discussed and simulation results are provided to testify the applicability of the proposed wireless data communication system.<br>Finally, the thesis sums up the contributions achieved and proposes some future works.<br>For the communication network, the main challenging problems are the large scale of the network, the movement of vehicles that may cause the levity of the network structure, and the large demands on communication capacity. In order to solve these problems, the performance optimization technique is accredited as one of the most important techniques for such a large scale wireless sensor network. This thesis focuses on the research in the following aspects. First, the optimal combination of the duty cycle, one of the most important parameters, is introduced to optimize the system performance. A duty cycle optimization model is put forward based on calculating n-times reachable matrix. Now that the parameter optimization model can be boiled down to a NP-hard problem, an improved genetic algorithm is introduced to solve the problem. The computational procedure and efficiency are discussed, and simulation study based on a practical road network is given to illustrate the validity of the proposed method. Second, the topological structure optimization problem is formulated as a graph problem, while fulfilling random node-to-node communication demands. A new optimization method, called un-detour optimization, is proposed to optimize the topological structure based on the improved genetic algorithm. In addition, the approach is evaluated quantitatively by simulating community wireless sensor networks. The comparison results demonstrate that some significant performance advantages can be achieved by this approach.<br>In addition, two important techniques required to build the new surveillance system are discussed in this thesis. (1) the sensors to collect traffic information; (2) the communication network to transmit information among all sensors and vehicles.<br>In order to detect and track the moving objects, this thesis presents a creative background updating method, which can works effectively even for some complex circumstances. The image processing results show that this method can realize the segmentation of the moving objects. Due to the simple model and fast calculation speed, the method can satisfy the requirements of detecting and tracking traffic objects in real time and at a high speed. Additionally, the thesis designs a new kind of object detection and tracking algorithm based on the attributive combination of contour and color in order to deal with the occlusion problem to some extent. Some experiments have testified to the robustness and practicability of the proposed system.<br>Nowadays, with the rapid development of economics and societies, transportation is playing a very important role in the balanced running of social and economic systems. However, urban traffic problems such as traffic accidents and traffic congestions are becoming more and more serious in almost all large cities in the world.<br>This thesis is focused on a traffic surveillance system which collects and transmits real-time traffic information in a large city, which is one of the most important steps in solving the transportation problems above. Considering the drawbacks of current traffic surveillance system, a brand-new system with a distributed architecture is proposed based on the concept of sensor networks. Then, an intelligent sensor node using an embedded ARM chip and MCU is developed and software system is built up accordingly, including Linux operating system, hardware drivers, and so on. Finally, a simulation program proves the validity of the system.<br>Shi, Xi.<br>"September 2007."<br>Adviser: YangShong Xu.<br>Source: Dissertation Abstracts International, Volume: 69-08, Section: B, page: 4946.<br>Thesis (Ph.D.)--Chinese University of Hong Kong, 2007.<br>Includes bibliographical references (p. 120-130).<br>Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.<br>Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web.<br>Abstracts in English and Chinese.<br>School code: 1307.
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Books on the topic "Transportation engineering – Namibia – Data processing"

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Butov, A. S. Informat︠s︡ionnye sistemy na transporte: Sbornik nauchnykh trudov. Sudostroenie, 2002.

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International Conference on Microcomputers in Transportation (1989 San Francisco, Calif.). Microcomputer applications in transportation III: Proceedings of the International Conference on Microcomputers in Transportation. Edited by Opiela Kenneth S. 1949-, Stammer Robert, and American Society of Civil Engineers. Urban Transportation Division. American Society of Civil Engineers, 1990.

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North American Conference on Microcomputers in Transportation (1987 Boston, Mass.). Microcomputer applications in transportation II: Proceedings of the North American Conference on Microcomputers in Transportation. Edited by Stammer Robert, Abkowitz Mark David, and American Society of Civil Engineers. Urban Transportation Division. American Society of Civil Engineers, 1987.

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John, Chow, and American Society of Civil Engineers. Urban Transportation Division., eds. Microcomputers in transportation: Proceedings of the 4th International Conference on Microcomputers in Transportation , Baltimore, Md., July 22-24, 1992. American Society of Civil Engineers, 1993.

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Cohn, Louis F. Knowledge based expert systems in transportation. Transportation Research Board, National Research Council, 1992.

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North American Conference on Microcomputers in Transportation (1987 Boston, Mass.). Microcomputers in transportation: Abstracts : a collection of abstracts of papers presented at the North American Conference on Microcomputers in Transportation, Sheraton Boston Hotel, Boston, Massachusetts, June 29-July 1, 1987. American Society of Civil Engineers, 1987.

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Glushchenko, V. V. Prognozirovanie. Sank-Peterburgskiĭ gos. universitet vodnykh kommunikat͡s︡iĭ, 1998.

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Glushchenko, V. V. Prognozirovanie. 2nd ed. Sankt-Peterburgskiǐ universitet vodnykh kommunikat︠s︡iǐ, 1999.

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International, Conference on Microcomputers in Transportation (1989 San Francisco Calif ). Microcomputers in transportation: Abstracts : a collection of abstracts of papers presented at the International Conference on Microcomputers in Transportation, Hyatt Regency Hotel, San Francisco, California, June 21-June 23, 1989. American Society of Civil Engineers, 1989.

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Kang, Yŏn-su. Yubikʻwŏtʻŏsŭ hwanʼgyŏng esŏ ŭi kyotʻong pumun yŏkŏn pyŏnhwa punsŏk mit taeŭng chŏllyak kaebal yŏnʼgu. Hanʼguk Kyotʻong Yŏnʼguwŏn, 2005.

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Book chapters on the topic "Transportation engineering – Namibia – Data processing"

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Campo, Matt, Michael Greenberg, Henry Mayer, and Karen Lowrie. "The Challenges of Obtaining Credible Data for Transportation Security Modeling." In Transportation Systems and Engineering. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8473-7.ch030.

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The National Transportation Security Center of Excellence (NTSCOE) was established in August 2007 to develop new approaches to defend, protect, and increase the resilience of the nation's multi-modal transportation infrastructure, and to create education and training programs for transportation security. The Center for Transportation Safety, Security, and Risk (CTSSR) at Rutgers University, an NTSCOE institution, developed models that address multi-modal resilience of freight and transit transportation networks. Data collection processes for each project presented significant hurdles for the research team in developing credible and accurate modeling tools. For any given data need, the potential exists for data gaps, collection, and processing errors, publication and use restrictions, and the need to obtain the most timely information. These challenges must be foreseen by researchers and practitioners in order to better accommodate potential restrictions on both data collection and dissemination while still providing users with a tool that improves decision making.
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Félix Mora-Camino and Luiz Gustavo Zelaya Cruz. "Advances in Data Processing for Airlines Revenue Management." In Computational Models, Software Engineering, and Advanced Technologies in Air Transportation. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-800-0.ch008.

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In this communication advances in data processing techniques applied to Airlines Revenue Management are displayed. The general introduction presents a brief review of Airlines Revenue Management. The first of the paper introduces the problem of updating the probability distributions of demand for reservations. This updating process, facing the stochastic nature of demand for travel, is a cornerstone for the design of an efficient on-line decision support system to control the reservation process for a flight by an airline. The considered problem is formulated as a dual geometric problem to which an unconstrained nonconvex, primal geometric problem is associated. A genetic algorithm optimization approach is proposed to solve the primal geometric problem, and then the classical geometric primal-dual transformations provide the solution to the initial problem. Then, the second part of the paper considers the design of a new Decision Support System for improving the reservation control process of airlines. A new recursive Dynamic Programming model for maximum expected revenue evaluation is defined, which, contrarily to other approaches, takes explicitly into account daily booking request arrivals. A practical Backward Dynamic Programming algorithm is established, leading to the design of an on-line optimisation module for Revenue Management. In this study two cases are considered. The first one considers that fare classes are not physically confined and the obtained results are extended in the second case to cover the situations where confinement of fare classes (Business Class and Economy Class) is applied.
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Leligou, Helen C., Periklis Chatzimisios, Lambros Sarakis, Theofanis Orphanoudakis, Panagiotis Karkazis, and Theodore Zahariadis. "An 802.11p Compliant System Prototype Supporting Road Safety and Traffic Management Applications." In Transportation Systems and Engineering. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8473-7.ch046.

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During the last decades Intelligent Transportation Systems (ITS) have been attracting the interest of an increasing number of researchers, engineers and entrepreneurs, as well as citizens and civil authorities, since they can contribute towards improving road transport safety and efficiency and ameliorate environmental conditions and life quality. Emerging technologies yield miniaturized sensing, processing and communication devices that enable a high degree of integration and open the way for a large number of smart applications that can exploit automated fusion of information and enable efficient decisions by collecting, processing and communicating a large number of data in real-time. The cornerstone of these applications is the realization of an opportunistic wireless communication system between vehicles as well as between vehicles and infrastructure over which the right piece of information reaches the right location on time. In this paper, the authors present the design and implementation of representative safety and traffic management applications. Specifically the authors discuss the hardware and software requirements presenting a use case based on the NEC Linkbird-MX platform, which supports IEEE 802.11p based communications. The authors show how the functionality of IEEE 802.11p can be exploited to build efficient road safety and traffic management applications over mobile opportunistic systems and discuss practical implementation issues.
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Kumar, Korupalli V. Rajesh, K. Dinesh Kumar, Ravi Kumar Poluru, Syed Muzamil Basha, and M. Praveen Kumar Reddy. "Internet of Things and Fog Computing Applications in Intelligent Transportation Systems." In Advances in Computer and Electrical Engineering. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0194-8.ch008.

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Self-driving vehicles such as autonomous cars are manufactured mostly with smart sensors and IoT devices with artificial intelligence (AI) techniques. In most of the cases, smart sensors are networked with IoT devices to transmit the data in real-time. IoT devices transmit the sensor data to the processing unit to do necessary actions based on sensor output data. The processing unit executes the tasks based on pre-defined instructions given to the processor with embedded and AI coding techniques. Continuous streaming of sensors raw data to the processing unit and for cloud storage are creating a huge load on cloud devices or on servers. In order to reduce the amount of stream data load on the cloud, fog computing, or fogging technology, helps a lot. Fogging is nothing but the pre-processing of the data before deploying it into the cloud. In fog environment, data optimization and analytical techniques take place as a part of data processing in a data hub on IoT devices or in a gateway.
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Ciampoli, L. Bianchini, F. D’Amico, A. Calvi, F. Benedetto, and F. Tosti. "Signal processing for optimisation of low-powered GPR data with application in transportation engineering (roads and railways)." In Bearing Capacity of Roads, Railways and Airfields. CRC Press, 2017. http://dx.doi.org/10.1201/9781315100333-206.

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Prahalathan, Geetha, Senthil Kumar Babu, and Praveena H. D. "Digitalization and Automation in Agriculture Industry." In Advances in Computer and Electrical Engineering. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3375-8.ch014.

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The industrial production has experienced a technological revolution in the recent past decades. The technological revolution influenced the agriculture industry too. The important areas in the change are not limited to innovation in farming, novel production of agriculture-based tools and equipment, transportation and consumption of food across the globe, marketing the agriculture products, and digitalization. Digitalization is the involvement of digital technology in the existing field for easing the mechanism of handling, processing, recording the data. Digitalization enables sustainable farming. It is required desperately to develop this technology because there is a substantial reduction of clean water and depletion of aquifers effects the cultivation. With the technology, the quantity and quality of the food has to be managed to feed the global population. The familiar digitization technology that makes the agri-industrial sector to experience growth are artificial intelligence, machine learning, sensor networks, internet of things, robotics, cloud data.
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Boulmakoul, Azedine, Robert Laurini, and Karine Zeitouni. "Spatial Monitoring and Routing System for the Transportation of Hazardous Materials." In Environmental Information Systems in Industry and Public Administration. IGI Global, 2001. http://dx.doi.org/10.4018/978-1-930708-02-0.ch015.

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The concept of Environmental Information Systems (EIS) emerged from the concerns and the efforts carried on by world wide private and official organisations in order to promote an effective use of environmental data. These data are of various natures such as statistics, thematic maps, or documents describing the identification and the quantification of the environmental resources. The Environmental Information Systems became institutional tools providing pragmatic solutions for sustainable development in various fields. The objective of an EIS is to increase the quality and the efficiency in the decision-making process. To achieve this goal, the EIS requires the integration of various information processing technologies: Geographical Information Systems (GIS); Database Management Systems (DBMS); Space Imagery; Decision Support Systems (DSS); etc. However, the implementation of such an integration generates new requirements, namely data interoperability, data description by metadata, reverse engineering from existing applications and remote data access and data processing. This leads to the reconsideration of the analysis and design methodology.
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Serkkola, Ari, Abel Terefe, Pasi Haverinen, and Aapo Haavisto. "Order-Supply Information Service in Solid Wood Fuel Business." In Advances in Systems Analysis, Software Engineering, and High Performance Computing. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5017-4.ch007.

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Forest resource information and real-time order-supply service are significant in wood fuel procurement. Section 1 defines the data sources of solid wood fuel procurement for regional power plants and their material supply chain. Section 2 presents an architecture for the order-supply process of wood fuel, and Section 3 creates an application for managing the supply chain and reporting. The system creates and uses data from different sources: a forest resource information system, wood material webstores, and enterprise resource planning (ERP). The data model, which follows the entity-attribute-value approach, is based on the annual processes of wood fuel procurement. These include wood fuel procurement planning in plants, processing of wood materials, ordering of wood fuel, and reporting. There is the view of the characteristics of PC and mobile services used by the enterprises of solid wood fuels. Reporting includes real-time information for suppliers, effectiveness of transportation and megawatt production, and spatial marking of forest nature reserves and carbon sinks.
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G. Batson, Robert. "A Service Management Metric with Origin in Plant Management." In Concepts, Applications and Emerging Opportunities in Industrial Engineering. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.93139.

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The discipline of industrial engineering (IE) was originated in the US by Frederick W. Taylor, who first applied what he termed scientific management to machine shop management in the 1880s. IE expanded world-wide with applications of work measurement to all manner of manufacturing, then to services. A century later, as the Japanese practice of Total Productive Maintenance (TPM) became known in the US, the associated equipment management metric Overall Equipment Effectiveness (OEE) became well-known as a production metric that could be applied to individual manufacturing machines, production lines, and the overall production system. In this chapter, illustrations of the calculation of OEE are provided, along with modification of the three OEE inputs (availability, performance efficiency, and quality rate) to create a new service management metric Overall Service Effectiveness (OSE). Definitions and measures of service quality are reviewed. The first published application of OSE was to a city public transportation system, and is reviewed as a prototype. Essentially, applications of OSE require the industrial engineer to define service-specific measures of availability, processing rate, and quality at the management’s level of interest: work station, process, or system. The data collected to calculate OSE will also point toward actions that would improve OSE.
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Thilagavathi, C., M. Rajeswari, Sheethal M. S., Deepa Devassy, Priya K. V., and Divya R. "Security Issues on Internet of Things in Smart Cities." In Handbook of Research on Implementation and Deployment of IoT Projects in Smart Cities. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-9199-3.ch010.

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Many researchers are focusing on IoT in smart cities. It invites researchers to concentrate on simplifying engineering challenges. IoT includes recognition, locating, tracking, monitoring, and management of devices in a reliable manner. There are numerous security challenges that include network security, authentication, security-side-challenge attacks, security analytics, interface protection, delivery mechanism, and system development. IoT needs security analytics to overcome a number of problems in smart cities to prevent unauthorized access. One among the security analytics is streaming analytics, which include all the real-time data streams to detect emergency situations. Threat detection and behavioral monitoring will be done after analyzing the traffic data. The aim is to analyze and predict real-time streaming data to achieve security. Different analytical tools on security will be used to obtain the optimal result in smart cities. Traffic analysis, which is treated as a real-time stream, will be applied in street and traffic lights, transportation, and parking space occupancy and so on. Large volume of data that are received from different sensors and cameras will be given as the input in order to analyze traffic in a smart cities. Intelligent traffic congestion control system will be developed in order to analyze the heavy traffic on roadside. Security in IoT is proposed, which includes encrypting and decrypting the user request, which is further to be processed by the central processing hub, in order to prevent unauthorized access.
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Conference papers on the topic "Transportation engineering – Namibia – Data processing"

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Lu, B., L. Yang, and A. Qin. "Mobile Traffic Data Collection/Processing and Its Applications." In Second International Conference on Transportation Engineering. American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41039(345)627.

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Liu, Nan, Peng Peng, Zuzhi Shen, Haihang Han, and Mingrong Deng. "Optimization of Traffic Information Processing Based on Data Mining from GPS Historical Data." In Second International Conference on Transportation Engineering. American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41039(345)584.

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Demiryurek, Ugur, Farnoush Banaei-Kashani, and Cyrus Shahabi. "TransDec:A spatiotemporal query processing framework for transportation systems." In 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010). IEEE, 2010. http://dx.doi.org/10.1109/icde.2010.5447745.

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Qingming Zhan, Ying Cai, Yubin Liang, and Yinghui Xiao. "Locality sensitive hashing for LiDAR data processing." In 2011 International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE). IEEE, 2011. http://dx.doi.org/10.1109/rsete.2011.5965160.

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Felleiter, Peter. "Data processing in emergency medicine and during transportation of patients." In 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.5760881.

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Felleiter. "Data Processing In Emergency Medicine And During Transportation Of Patients." In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.589555.

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Zhijian Wang, Zhengxi Li, and Li wang. "The application of GPS data processing technique in map matching." In 2011 International Conference on Transportation and Mechanical & Electrical Engineering (TMEE). IEEE, 2011. http://dx.doi.org/10.1109/tmee.2011.6199272.

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Li, Jing, Ke Zhang, and Hao Liu. "A New Technology Based on Network Topology and Dynamic Space-Time Splitting Strategy for Floating Car Data Processing." In Second International Conference on Transportation Engineering. American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41039(345)26.

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Duan, Jin, Xiaoming Chen, and Yungui Li. "A Structural Simulation System, Part 2: Data Processing Center." In 2017 2nd International Conference on Civil, Transportation and Environmental Engineering (ICCTE 2017). Atlantis Press, 2017. http://dx.doi.org/10.2991/iccte-17.2017.42.

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Xiaoqi Lan, Sen Li, and Kun Xie. "The data processing model of monitoring crustal deformation using GPS." In 2011 International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE). IEEE, 2011. http://dx.doi.org/10.1109/rsete.2011.5964412.

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