Dissertations / Theses on the topic 'Historical vehicle'
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Ćmok, František. "Problematika oceňování historických vozidel." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-233156.
Full textSTYCZYNSKI, Annika. "HISTORICAL BENEFIT AND CONTEMPORARY APPROACHES TO SUSTAINABLE (LOW CARBON) URBAN TRANSPORT IN JAPAN." 名古屋大学大学院経済学研究科附属国際経済政策研究センター, 2012. http://hdl.handle.net/2237/16291.
Full textSaeed, Adil. "Sustainable methodology of conserving historic military vehicles." Thesis, Bournemouth University, 2013. http://eprints.bournemouth.ac.uk/20975/.
Full textHardman, Scott John. "Consumer adoption of fuel cell vehicles : lessons from historical innovations and early adopters of battery electric vehicles." Thesis, University of Birmingham, 2016. http://etheses.bham.ac.uk//id/eprint/7011/.
Full textGhazie, Khair. "Evaluating An Interactive Troubleshooting System for Heavy Vehicles with Limited Historical Data." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-348881.
Full textZhou, Fang. ""The wheels that transformed the city: the historical development of public transportation systems in Shanghai, 1843-1937"." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37142.
Full textKeith, RuAnn Rae. "Constructing Professionalism: Reifying the Historical Inevitability of Commercialization in Mass Media Communication." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/communication_diss/16.
Full textBartley, Sarah. "Universal Pre-K as a Vehicle for Reversing the Impact of Historic Racial Segregation in the United States." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1505274/.
Full textNorén, Pontus. "Svensk Bilprovning : Omregleringarna och dess effekter." Thesis, Uppsala universitet, Ekonomisk-historiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325510.
Full textAlbrecht, Martin. "Enabling socio-technical transitions – electric vehicles and high voltage electricity grids as focal points of low emission futures." Licentiate thesis, KTH, Miljöstrategisk analys (fms), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-206973.
Full textQC 20170512
Norstrat
CHIU, CHIUNG-TA, and 邱炯達. "Integration of Historical Data and Ant Colony Optimization to the Vehicle Route Planning – A Case of K Logistics Company." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/cyqrr6.
Full text中華大學
運輸科技與物流管理學系
107
This study uses the company's own long-term storage of information, such as tracking data, vehicle location data. With reference to the concept of pheromones update in the ant colony optimization, the driver's accumulated vehicle information is retain as expert experience, and the base of the company's knowledge base is established for reference when the company plans the delivery route. Not only can the driver's daily delivery route habits be satisfied, but also the driving route can be stored. It can reduce the adaptation time of new drivers to different areas, and improve the delivery efficiency and reduce the driver's learning cost. In order to construct effective and high-liberal characteristics, this research mainly uses QGIS, Python, MongoDB and other open source free software for development and design. Such will improve the flexibility of adjustment required by enterprises in the future. This study proposed a meta-heuristic method, named as the Historical Data Oriented Ant Colony Optimization (HDOACO), which can effectively integrate vehicle position data and establish a historical pheromone database. The HDOACO method includes this pheromone parameter into the path cost. At the same time, the HDOACO method considers two important factors of driving experience and driving distance in its formula. To confirm the possibility of the proposed HDOACO algorithm, 30 sets of actual cases were tested. After comparing the solved path results with the actual driver's driving mileage, the operating path distance can reduce by an average of 45.44%. Such results imply that the HDOACO method could enhance the new drivers’ efficiency and reduce delivery time.
Alerasooldehkordi, Seyedmajid. "A historical Path Dependence : The development case of eco-friendly vehicles." Thesis, 2014. https://doi.org/10.15057/26597.
Full textFerrão, Leonor Carmo Rosa Mendes. "Historical reconstructions of raw materials based on a blue smalt coating applied to a seventeenth-century altarpiece." Master's thesis, 2015. http://hdl.handle.net/10362/16408.
Full textCHEN, DA-EN, and 陳大恩. "Travel Time Estimation and Prediction for Highways Using Current Flow Status and Historical Traffic Data Based on the Internet of Vehicles." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/yrm8zs.
Full text逢甲大學
資訊工程學系
105
Travel time estimation and prediction are important for the driving efficiency in a long-distance travelling. The accurate travel time on the highway is the key to improve the efficiency of transportation systems. This paper focuses on travel time estimation and prediction for highways by designing the Weighted Root-Mean-Square Similarity (Weighted-RMSS) method to predict highway travel time when current flow status are known and by designing the Multiple Slope-Based Linear Regression (Multi-SBLR) method to predict highway travel time based on historical traffic data when current flow status is unknown. The proposed estimation and prediction methods can be used to efficiently control the traffic management system and provide the best driving efficiency. With the collected data of current flow status, we use the proposed Weighted-RMSS method to determine the most similar historical data. The optimal value of k is obtained using traffic dependencies based on current and historical traffic data. When current flow status is not available, we use the proposed Multi-SBLR method to predict travel time based on the linear relationship of the same consecutive weekday and weekend. To verify the feasibility and superiority of our proposed methods, we adopt the open ETC data of highways in Taiwan to evaluate the prediction accuracy of our approaches, which outperform existing methods and can significantly reduce the errors of travel time prediction.
Nahirnick, Natasha K. "Long-term spatial-temporal eelgrass (Zostera marina) habitat change (1932-2016) in the Salish Sea using historic aerial photography and unmanned aerial vehicle." Thesis, 2018. https://dspace.library.uvic.ca//handle/1828/9380.
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