Descripción del proyecto
Visión artificial para la gestión del tráfico
Al mejorar los modos de transporte menos agresivos, como el uso de la bicicleta y los desplazamientos a pie, las ciudades van a ser más sostenibles, a la vez que contribuirán a la reducción de los niveles de contaminación y la congestión del tráfico. Aun así, los funcionarios municipales de la Unión Europea luchan por salvaguardar a los usuarios vulnerables de las vías públicas, que representan la gran mayoría de las víctimas de los accidentes de tráfico en las zonas urbanas. UrbanDynamics tiene como objetivo rediseñar los modelos de movilidad desarrollando un sistema de control y gestión del tráfico en tiempo real que utilice datos brutos del tráfico obtenidos con cámaras para reconocer, seguir y analizar el comportamiento de todos los integrantes del tráfico, como las bicicletas y los peatones. UrbanDynamics impulsará el crecimiento con unos ingresos que superarán los18 millones de euros. Además, se prevé la creación de al menos quince puestos de trabajo.
Objetivo
The booming urbanisation poses several challenges for cities such as growing traffic volumes, safety, and increasing environmental pressures. Enhancing the use of soft transportation modes (cycling and walking) will make cities more sustainable by reducing congestion and pollution. However city authorities are currently struggling to guarantee the safety of those vulnerable road users: they account for almost 70% of the road victims in urban areas. The objective of increasing the use of soft transport modes can only be achieved with a re-design of current urban mobility models. A holistic approach for managing urban traffic is one the most urgent needs of traffic authorities. Correspondingly, the associated traffic management market is projected to grow at a CAGR = 21% and reach the €19.4 billion by 2022. At ViNotion, a Dutch leading expert in intelligent image interpretation since 2007, we have developed UrbanDynamics, a real-time traffic monitoring and managing system that uses raw traffic data from cameras to recognise, track, and analyse the behaviour of all urban traffic participants, including bicycles and pedestrians. Our solution collects data from pre-existing cameras and by means of machine- and deep learning, analyses the behaviour of all traffic participants providing an in-depth insight into complex urban traffic scenarios. Our competitive advantages rely on the high accuracy, even in broad areas with only one system (false detections < 1% in 18m width lane), and versatility of the traffic information obtained (counting, speed, direction, queue length, waiting time, etc.). At ViNotion we aim at making EU cities more friendly for pedestrians and bicycles and reduce associated traffic fatalities by facilitating an optimal integration of the soft transportation modes into the urban environment. UrbanDynamics will boost our growth with revenues surpassing the €18 million in the 3rd year after market uptake and the creation of up to 15 new position.
Ámbito científico
- engineering and technologycivil engineeringurban engineeringsmart cities
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- natural sciencescomputer and information sciencesartificial intelligencecomputer vision
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- social sciencessocial geographytransportsustainable transportintelligent transport systems
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SMEInst-2018-2020-1
Régimen de financiación
SME-1 - SME instrument phase 1Coordinador
5641 JA Eindhoven
Países Bajos
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.