RT info:eu-repo/semantics/conferenceObject
T1 Quantifying the safety impact of Connected and Autonomous Vehicles in motorways: A simulation-based study
A1 Miqdady, Tasneem
A1 Oña López, Rocío de
A1 Oña López, Juan de
K1 Autopistas
K1 Motorways
K1 Vehículos autónomos
K1 Autonomous vehicles
K1 Inteligencia artificial
K1 Artificial intelligence
K1 Ingeniería civil
K1 Civil engineering
K1 Transporte
K1 Transportation
AB Connected and Autonomous Vehicles (CAV) is the developing summit of the integrationbetween artificial intelligence (AI), robotics, automotive design and informationtechnologies. Many researchers are investigating their effects on traffic safety. This studytries to quantify the volume of incidents when sharing the road human-driven vehicles andfully CAV. After modeling the geometry of 4.5 km of motorway and the parameters ofconnectivity and automation using Aimsun Next platform, several scenarios of thepercentages of CAV (0%, 25%, 50%, 75%, and 100%) were driven in microsimulation runs.Then the microsimulation generated vehicles trajectories that are used to identify conflictsusing the Surrogate Safety Assessment Model (SSAM). The results of this analysis confirmprevious research in that the reduction of number of conflicts will be up to 35% with lowand moderate penetration rates of CAV and more than 80% if the road is operated only withCAV.
PB Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional
SN 978-84-18465-12-3
YR 2021
FD 2021-07
LK http://hdl.handle.net/10259/7001
UL http://hdl.handle.net/10259/7001
LA eng
NO 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
NO Financial support from the Spanish State Research Agency (Research Project PID2019- 110741RA-I00) is gratefully acknowledged. The authors are also grateful to the Spanish General Directorate of Traffic (DGT) for providing the traffic flows from several GR-30 sections. Tasneem Miqdady appreciates Aimsun to provide their postgraduate student license to make this work.
DS Repositorio Institucional de la Universidad de Burgos
RD 19-abr-2024