Effect of human-driven, autonomous, and connected autonomous vehicles on geometric highway design

dc.contributor.authorKhan, Zawar Hussain
dc.contributor.authorAli, Faryal
dc.contributor.authorAltamimi, Ahmed B.
dc.contributor.authorGulliver, Thomas Aaron
dc.date.accessioned2026-05-20T17:47:38Z
dc.date.available2026-05-20T17:47:38Z
dc.date.issued2025
dc.description.abstractHighway geometric design plays a crucial role in maintaining traffic safety and operational efficiency. The number of Autonomous Vehicles (AVs) and Connected Autonomous Vehicles (CAVs) on highway networks has increased in recent years. In this study, a traffic model is developed from a spring-mass system theory perspective to investigate traffic dynamics on horizontal highway curves. The Intelligent Driver (ID) model is based on a constant exponent δ to characterize driver response, which is unrealistic. By utilizing a spring-mass system analogy, the proposed model provides a more accurate and realistic representation of traffic. This model is used to evaluate the behavior of Human-driven Vehicles (HVs), AVs, and CAVs over a 1300 m circular road. The results obtained show that CAVs have better performance compared to HVs and AVs on horizontal curves, leading to better understanding of safety and efficiency on roads. Further, CAVs improve energy efficiency and emission reduction, contributing to effective and sustainable transportation systems. In addition, the results indicate that the proposed model has better performance compared to the ID model.
dc.description.reviewstatusReviewed
dc.description.scholarlevelFaculty
dc.identifier.citationKhan, Z. H., Ali, F., Altamimi, A. B., & Gulliver, T. A. (2025). Effect of human-driven, autonomous, and connected autonomous vehicles on geometric highway design. Alexandria Engineering Journal, 127, 1073–1080. https://doi.org/10.1016/j.aej.2025.07.013
dc.identifier.urihttps://doi.org/10.1016/j.aej.2025.07.013
dc.identifier.urihttps://hdl.handle.net/1828/23907
dc.language.isoen
dc.publisherAlexandria Engineering Journal
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectspring-mass system
dc.subjecthorizontal curves
dc.subjectgeometric design
dc.subjectmicroscopic traffic model
dc.subjecthuman-driven vehicles (HVs)
dc.subjectautonomous vehicles (AVs)
dc.subjectconnected autonomous vehicles (CAVs)
dc.subject#journal article
dc.subjectPacific Climate Impacts Consortium (PCIC)
dc.subjectUN SDG 13: Climate Action
dc.subject.departmentDepartment of Electrical and Computer Engineering
dc.titleEffect of human-driven, autonomous, and connected autonomous vehicles on geometric highway design
dc.typeArticle

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