2026-06-09T02:17:05Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/70012024-05-20T08:00:37Zcom_10259.4_104com_10259_2604col_10259_6848
Miqdady, Tasneem
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600
Oña López, Rocío de
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Oña López, Juan de
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2022-09-22T06:36:12Z
2022-09-22T06:36:12Z
2021-07
978-84-18465-12-3
http://hdl.handle.net/10259/7001
10.36443/10259/7001
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.
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.
application/pdf
eng
Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional
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
Autopistas
Vehículos autónomos
Inteligencia artificial
Motorways
Autonomous vehicles
Artificial intelligence
Ingeniería civil
Transportes
Civil engineering
Transportation
Quantifying the safety impact of Connected and Autonomous Vehicles in motorways: A simulation-based study
info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/openAccess
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Miqdady_CIT2021_2653-2671.pdf.jpg
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https://riubu.ubu.es/bitstream/10259/7001/2/license.txt
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Miqdady_CIT2021_2653-2671.pdf
Miqdady_CIT2021_2653-2671.pdf
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https://riubu.ubu.es/bitstream/10259/7001/1/Miqdady_CIT2021_2653-2671.pdf
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10259/7001
oai:riubu.ubu.es:10259/7001
2024-05-20 10:00:37.449
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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