The importance of transportation systems has grown massively in recent years, in line with the problems arising from their pervasiveness: permanent congestion on highways and urban centres, energy waste, CO2 emissions and high accident rates. Applications for cooperative, connected and automated mobility (CCAM), capable of data sensing, acquisition, processing and communication provide an unprecedented potential to improve vehicle and road safety, passengers comfort and efficiency of traffic management. To support such visionary scenarios, an ecosystem needs to be set up involving handheld devices, vehicles, road infrastructures and control centers, interconnected by wireless sensor networks and vehicular networks, gathering and sharing operational and environmental information that will support those smart mobility goals. This will involve collaborative applications running unattended in personal devices, vehicles, road-side units and back office of the emergency services, road operators and public services, that will report information to and take commands from counterpart applications in a Machine-to-Machine (M2M) fashion. Vehicles, pedestrians, bicycles, etc., in particular, will benefit from these connected devices through communication, distributed sensing and cooperative perception, boosting their safety with local information sharing. This workshop will bring together academic and industrial stakeholders to identify and discuss technical and scientific challenges and be a venue for disseminating innovative solutions in the field of sensing for cooperative, connected and automated mobility applications. These solutions will encompass all aspects of intelligent transportation systems associated with cooperative sensing, from wireless network infrastructure and mobility, to transmission techniques, middleware, M2M architectures, data models and real-life implementations.