Descrizione del progetto
Algoritmi e sensori proteggono i pedoni
Anche se la sicurezza stradale nell’UE è migliorata notevolmente negli ultimi decenni (e le strade dell’UE sono le più sicure al mondo), il numero di morti e feriti è ancora troppo elevato. Gli incidenti che coinvolgono utenti della strada vulnerabili rimangono un problema molto significativo per la sicurezza stradale. Il progetto SPECK, finanziato dall’UE, aprirà la strada a strisce pedonali intelligenti. Creerà una sorta di cyber dialogo tra il veicolo e l’ambiente circostante per migliorare la comunicazione tra gli utenti della strada attraverso l’uso di sistemi di trasporto intelligenti cooperativi. In particolare, un’unità su strada intelligente utilizza algoritmi di intelligenza artificiale ristretta abbinati a tecniche di fusione dei sensori per prevedere ed evitare conflitti di traffico basati sulle situazioni.
Obiettivo
Traffic accidents involving Vulnerable Road Users (VRUs) remain one of the major causes of serious road traffic injuries and deaths worldwide and cost the EU an estimated €120 billion annually. Statistics show that more than one-third of VRU involved accidents take place on uncontrolled (zebra) crossings. A zebra crossing is a type of crossing where there is nothing to tell drivers when to stop and VRUs when to go. One of the potential measures to minimise such accidents is to improve communication between road users through the use of cooperative intelligent transport systems. These technologies can be integrated within infrastructures, and within the vehicles themselves, to create a sort of cyber-dialogue (V2X) between the driving machine and its surroundings. By equipping roadside infrastructure with communication devices and sensors, they can be used to monitor and predict traffic dynamics as well as warn road users when their trajectories are conflicting. However, the real-life technical requirements for such devices have remained more than challenging. Bercman has cracked this problem and developed an intelligent roadside unit which utilises narrow artificial intelligence (AI) algorithms coupled with sensor fusion techniques to predict and avoid situation-based traffic conflicts. It can increase VRU safety near uncontrolled crossings by employing warning signals and active safety measures to prevent accidents from ever happening. Our target group includes urban municipalities with more than 50 000 residents looking to modernise their infrastructure and gain smart city status. We address the global intelligent transport system market, estimated to reach over €46 billion by 2025. By scaling up rapidly, our objective is to reach €39 million in sales revenues by 2025. During the Phase-1 study, Bercman will conduct a comprehensive feasibility study that includes the commercialisation aspect of the innovation, and update its business plan accordingly.
Campo scientifico
- natural sciencescomputer and information sciencesartificial intelligence
- engineering and technologycivil engineeringurban engineeringsmart cities
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- social sciencessocial geographytransportsustainable transportintelligent transport systems
Programma(i)
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SMEInst-2018-2020-1
Meccanismo di finanziamento
SME-1 - SME instrument phase 1Coordinatore
51004 TARTU
Estonia
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