2026-10-23T17:06:57Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/70012024-05-20T08:00:37Zcom_10259.4_104com_10259_2604col_10259_6848

Miqdady, Tasneem Oña López, Rocío de Oña López, Juan de 2021-07 Trabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgos Connected and Autonomous Vehicles (CAV) is the developing summit of the integration between artificial intelligence (AI), robotics, automotive design and information technologies. Many researchers are investigating their effects on traffic safety. This study tries to quantify the volume of incidents when sharing the road human-driven vehicles and fully CAV. After modeling the geometry of 4.5 km of motorway and the parameters of connectivity and automation using Aimsun Next platform, several scenarios of the percentages of CAV (0%, 25%, 50%, 75%, and 100%) were driven in microsimulation runs. Then the microsimulation generated vehicles trajectories that are used to identify conflicts using the Surrogate Safety Assessment Model (SSAM). The results of this analysis confirm previous research in that the reduction of number of conflicts will be up to 35% with low and moderate penetration rates of CAV and more than 80% if the road is operated only with CAV. application/pdf http://hdl.handle.net/10259/7001 eng Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional Quantifying the safety impact of Connected and Autonomous Vehicles in motorways: A simulation-based study info:eu-repo/semantics/conferenceObject TEXT RIUBU. Repositorio Institucional de la Universidad de Burgos Hispana