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@article{61581, author = {Rowland, Zuzana and Porter, Kathleen}, article_location = {New York, USA}, article_number = {2}, keywords = {autonomous vehicle; deep learning; driving algorithm; intelligent transportation system; big data; geospatial analytics}, language = {eng}, issn = {1948-9137}, journal = {Contemporary Readings in Law and Social Justice}, title = {Autonomous vehicle driving algorithms, deep learning-based sensing technologies, and big geospatial data analytics in smart sustainable intelligent transportation systems}, url = {https://www.ceeol.com/search/article-detail?id=996097}, volume = {13}, year = {2021} }
TY - JOUR ID - 61581 AU - Rowland, Zuzana - Porter, Kathleen PY - 2021 TI - Autonomous vehicle driving algorithms, deep learning-based sensing technologies, and big geospatial data analytics in smart sustainable intelligent transportation systems JF - Contemporary Readings in Law and Social Justice VL - 13 IS - 2 SP - 23-36 EP - 23-36 PB - Addleton Academic Publishers SN - 19489137 KW - autonomous vehicle KW - deep learning KW - driving algorithm KW - intelligent transportation system KW - big data KW - geospatial analytics UR - https://www.ceeol.com/search/article-detail?id=996097 N2 - "The authors draw on a substantial body of theoretical and empirical research on autonomous vehicle driving algorithms, deep learning-based sensing technologies, and big geospatial data analytics in smart sustainable intelligent transportation systems, and to explore this, they inspect, use, and replicate survey data from AUVSI, BikePGH, Capgemini, CarGurus, CivicScience, GenPop, Ipsos, KPMG, Management Events, McKinsey, Perkins Coie, Pew Research Center, and Statista." ER -
ROWLAND, Zuzana a Kathleen PORTER. Autonomous vehicle driving algorithms, deep learning-based sensing technologies, and big geospatial data analytics in smart sustainable intelligent transportation systems. \textit{Contemporary Readings in Law and Social Justice}. New York, USA: Addleton Academic Publishers, 2021, roč.~13, č.~2, s.~23-36. ISSN~1948-9137.
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