2026-10-23T07:20:20Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/70012024-05-20T08:00:37Zcom_10259.4_104com_10259_2604col_10259_6848
Quantifying the safety impact of Connected and Autonomous Vehicles in motorways: A simulation-based study
Miqdady, Tasneem
Oña López, Rocío de
Oña López, Juan de
Autopistas
Vehículos autónomos
Inteligencia artificial
Motorways
Autonomous vehicles
Artificial intelligence
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.
2022-09-22T06:36:12Z
2022-09-22T06:36:12Z
2022-09-22T06:36:12Z
2021-07
info:eu-repo/semantics/conferenceObject
978-84-18465-12-3
http://hdl.handle.net/10259/7001
10.36443/10259/7001
eng
R-Evolucionando el transporte
http://hdl.handle.net/10259/6490
https://doi.org/10.36443/9788418465123
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-110741RA-I00/ES/EVALUACION DE LA SEGURIDAD VIAL Y LA ACEPTACION SOCIAL DURANTE EL PERIODO DE TRANSICION DE LA CONDUCCION MANUAL A LA CONDUCCION AUTONOMA
info:eu-repo/semantics/openAccess
Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional