@inproceedings{lebre:hal-02917145, TITLE = {{Efficient Vehicular Crowdsourcing Models in VANET for Disaster Management}}, AUTHOR = {L{\`e}bre, Marie-Ange and Le Mou{\"e}l, Fr{\'e}d{\'e}ric and M{\'e}nard, Eric}, URL = {https://inria.hal.science/hal-02917145}, BOOKTITLE = {{VTC Spring 2020 - IEEE 91st Vehicular Technology Conference}}, ADDRESS = {Antwerp, Belgium}, PUBLISHER = {{IEEE}}, YEAR = {2020}, MONTH = May, DOI = {10.1109/VTC2020-Spring48590.2020.9129487}, KEYWORDS = {V2V ; ant algorithm ; travel time ; disasters ; V2V ; Ant algorithm ; Travel time ; Disasters}, PDF = {https://inria.hal.science/hal-02917145/file/VTCSpring2020.pdf}, HAL_ID = {hal-02917145}, HAL_VERSION = {v1}, }