Publication Date

8-2024

Date of Final Oral Examination (Defense)

6-7-2024

Type of Culminating Activity

Thesis

Degree Title

Master of Science in Civil Engineering

Department Filter

Civil Engineering

Department

Civil Engineering

Supervisory Committee Chair

Mandar Khanal, Ph.D.

Supervisory Committee Member

Kyungduk Ko, Ph.D.

Supervisory Committee Member

Yang Lu, Ph.D.

Abstract

Connected Automated vehicles (CAVs) are growing in popularity and could have potential implications on the transportation system. The effects of CAVs have yet to be fully realized because of the newness of the technology. Anticipated effects include increased capacity, faster travel time, improved level of service, increased safety, and overall effectiveness of the transportation system. The Highway Capacity Manual (HCM) published by the Transportation Research Board of the National Academies has incorporated some of these impacts by developing capacity adjustment factors (CAFs) for various scenarios for freeway segments, signalized intersections, and roundabouts. This study builds upon the HCM study of signalized intersections by analyzing the effect CAVs have on a coordinated signalized corridor. Using PTV VISTRO and PTV VISSIM software a seven-intersection corridor along Eagle Rd in Boise, Idaho was modeled and analyzed with increasing penetration rates of CAVs. Approach delay, queue length, level of service and travel time along the corridor were studied as CAV penetration rates increased. It was found that approach delay, queue length, and level of service improved as the number of CAVs increased. The travel time from one end of the corridor to the other decreased.

DOI

https://doi.org/10.18122/td.2273.boisestate

Download

Share

COinS