%0 Thesis %1 nguepi2022survey %A Nguepi, Mickayel Aime Nangue %C Am Hubland, Informatikgebäude, 97074 Würzburg, Germany %D 2022 %K Thesis_supervised_by_SE_member cyber-physical_systems descartes intelligent_transportation_systems internet_of_things se2_mastersthesis survey t_studentthesis thesis_supervised_by_marius.hadry %T A Survey on Dwell Time Prediction in Intelligent Transportation Systems

@mastersthesis{nguepi2022survey, added-at = {2022-07-08T01:07:11.000+0200}, address = {Am Hubland, Informatikgeb{\"a}ude, 97074 W{\"u}rzburg, Germany}, author = {Nguepi, Mickayel Aime Nangue}, biburl = {https://www.bibsonomy.org/bibtex/230eaad3534d1fc212cee8e98bf32eff2/se-group}, interhash = {855d846376a8dda54a56b3b726ebd42d}, intrahash = {30eaad3534d1fc212cee8e98bf32eff2}, keywords = {Thesis_supervised_by_SE_member cyber-physical_systems descartes intelligent_transportation_systems internet_of_things se2_mastersthesis survey t_studentthesis thesis_supervised_by_marius.hadry}, month = {April}, timestamp = {2022-07-28T13:40:35.000+0200}, title = {{A Survey on Dwell Time Prediction in Intelligent Transportation Systems}}, type = {{Bachelor Thesis}}, year = 2022 }