International Conference on Transportation and Development 2020
Modeling and Assessing the Influence of Connected and Automated Vehicle Penetration Rates on Urban Arterial Road Operational Performance
Publication: International Conference on Transportation and Development 2020
ABSTRACT
This research focuses on modeling and assessing the influence of connected and automated vehicle (CAV) penetration rates on an arterial road operational performance. A 2.5-mi urban arterial road in the city of Charlotte, North Carolina, was chosen for microscopic simulation modeling using PTV VISSIM traffic simulation software and assessment in this research. The selected corridor, along N. Tryon St. from Mallard Creek Church Rd. to University Pointe Blvd., has eight intersections. During the model development process, key indicators such as driver behavior parameters, acceleration/deceleration profiles, time lead, and space headway were modified to incorporate the possible influence of non-CAVs and CAVs on arterial road operational performance. The base (or existing) scenario was first calibrated and validated using real-world travel times and turning movement counts. Hypothetical build scenarios (inclusion of CAVs) were then tested to assess the influence of varying CAV penetration rates (0%–100%, increments of 20) on operational performance measures such as travel time, delay, and the number of stops. The results indicate that CAVs are capable of improving the operational performance of urban arterial roads.
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Published In
International Conference on Transportation and Development 2020
Pages: 98 - 108
Editor: Guohui Zhang, Ph.D., University of Hawaii
ISBN (Online): 978-0-7844-8313-8
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Aug 31, 2020
Published in print: Aug 31, 2020
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