Abstract
In this study, changes in traffic flow characteristics were examined in a mixed system consisting of human drivers and autonomous vehicles. In the study, it is accepted that in the environment where the autonomous vehicles are presented, neither vehicle to vehicle communication (V2V) nor the environment and infrastructure communication of vehicles (V2I) exist. The behavioral characteristics of human drivers (reaction time, acceleration, and deceleration, etc.) are derived from data collected from field studies, while the characteristics of autonomous vehicles are determined on the basis of assumptions in literature. Using these data together, the behaviors of the different driver profiles and the movements of the autonomous vehicles under the same conditions are compared by using the SIDRA TRIP program. By using the outcomes of the program and producing different scenenarios, a passenger car equivalence value for autonomous vehicles was tried to be obtained. In the last section of the study, the effect of autonomous vehicles on signalized intersection performance in an unconnected environment is discussed. The results show that autonomous vehicles may significantly decrease intersection capacity.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available from the corresponding author by request (files containing intersection designs in SIDRA and AIMSUN).
Acknowledgments
This study partially includes the findings obtained from the research project entitled “Investigation of Effect of Driver Behavior on the Capacity and Performance of Urban Intersection and Arterials” supported by The Scientific and Technological Research Council of Turkey (TÜBİTAK, Project No. 110M677). The authors appreciate TÜBİTAK for project support.
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Published In
Journal of Transportation Engineering, Part A: Systems
Volume 146 • Issue 2 • February 2020
Copyright
©2019 American Society of Civil Engineers.
History
Received: Aug 2, 2018
Accepted: Jun 20, 2019
Published online: Nov 27, 2019
Published in print: Feb 1, 2020
Discussion open until: Apr 27, 2020
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