Date of Graduation
2015
Document Type
Thesis
Degree Type
MS
College
Statler College of Engineering and Mineral Resources
Department
Civil and Environmental Engineering
Committee Chair
Avinash Unnikrishnan
Committee Co-Chair
Radhey Sharma
Committee Member
Antarpreet Jutla
Abstract
Autonomous vehicles are expected to provide a number of benefits to the individual, road infrastructure and the society from the perspective of safety and efficiency. The use of autonomous vehicles is expected to increase freeway throughput, allowing vehicle groups travelling together with a shorter headway time resulting in a reduction of traffic congestion.;The purpose of this research was to use microsimulation software, VISSIM, to test the impact of autonomous vehicles on freeway throughput, delay, and travel time. A realistic corridor of I-79 and a conceptual corridor were modeled to understand how mixed traffic flow conditions could impact the freeway throughput. In addition, the same corridors were used to test the impact of various lane configurations on efficiency of mixed traffic flow including regular and autonomous vehicles.;Our results have shown that incorporation of autonomous vehicles with regular vehicles can increase the freeway throughput. The increase observed in our study has reached above 17% of freeway benefits with 60% or higher of autonomous vehicles penetration rate. However, using autonomous vehicles with lane configuration have shown a negative impact on freeway throughput. That is due to the congestion caused by regular vehicles mainly at the exits and entrances of the freeway.
Recommended Citation
Maarafi, Abdullah, "The Impact of Autonomous Vehicles on Freeway Throughput" (2015). Graduate Theses, Dissertations, and Problem Reports. 6129.
https://researchrepository.wvu.edu/etd/6129